SlideShare una empresa de Scribd logo
1 de 72
Descargar para leer sin conexión
1
2015 Pacific Crest
Private SaaS Company
Survey Results
October 16, 2015
2
Pacific Crest 2015 Private SaaS Company Survey:
Summary of Results
 This report provides an analysis of the results of a survey of private SaaS companies
which Pacific Crest’s software investment banking team conducted in June-July 2015
– Represents the sixth such survey Pacific Crest has completed
– The survey results include responses from senior executives of 305 companies. Special thanks
to our partners at Matrix Partners, who helped solicit participants through the forEntrepeneurs
blog
 Broad diversity of SaaS companies participated. Representative statistics on the
participant pool:
– $4MM median revenues, with 133 companies >$5MM and 57 >$25MM
– 47 median full-time employees (range of 2 to 1,200)
– Median customer count of approximately 300; 28% of respondents have >1,000 customers
– 70% of participants headquartered in the U.S.
– $21K median annual contract value (ACV), with 21% of participants below $5K and 17% above
$100K. Good mix of field sales (41% use as predominant mode), inside sales (21%), as well as
Internet, channel, and mixed modes
Our goal is to provide useful operational and financial benchmarking
data to executives and investors in SaaS companies
3
Survey Participant Geography (HQ)
U.S. Regions
Northern California – Silicon Valley 48
Southern California 14
Boston / New England 35
Pacific Northwest 13
New York Metropolitan Area 19
Washington DC 11
Southeast U.S. 26
Midwest / Chicago 23
Colorado / Utah 6
Texas 10
Other U.S. 6
TOTAL U.S. : 211
Other Locations
Canada 19
Europe 40
Middle East / Africa 3
Latin America 6
Australia / New Zealand 13
Asia 13
TOTAL Non-U.S. : 94
13
13
6
211
40
3
19
305 respondents
Comparison with
Previous Surveys
31% international, up from
21% last year.
4
62
40
28 30
24
19
26 25 26
22
0
10
20
30
40
50
60
70
<15 15-25 25-35 35-50 50-75 75-100 100-150 150-250 250-500 500+
NumberofCompanies
Full-Time Equivalent Employees
74
59
35 32
18
26
17 14 12 12
0
10
20
30
40
50
60
70
80
<$750k $750k-
$2.5MM
$2.5MM-
$5MM
$5MM-
$10MM
$10MM-
$15MM
$15MM-
$25MM
$25MM-
$40MM
$40MM-
$60MM
$60MM-
$100MM
Greater
than
$100MM
NumberofCompanies
2014 Revenue
Survey Participant Size Distribution
299 and 302 respondents, respectively
Median ≈ $4MM
Median ≈ 47
Revenue
FTEs
5
Less than
$100k
$125k $125k $129k
$164k
$143k $143k
$188k
$230k
$0k
$50k
$100k
$150k
$200k
$250k
<$2.5MM $2.5MM-
$5MM
$5MM-
$10MM
$10MM-
$15MM
$15MM-
$25MM
$25MM-
$40MM
$40MM-
$60MM
$60MM-
$100MM
Greater
than
$100MM
Median2014GAAPRevenueperFTE
Sized Company (2014 Revenue)
Revenue per FTE Efficiency
Respondents: <$750k: 74; $750k-$2.5MM: 59; $2.5MM-$5MM: 35; $5MM-$10MM: 32; $10MM-$15MM: 17; $15MM-$25MM:
26; $25MM-$40MM: 17; $40MM-$60MM: 13; $60MM-$100MM: 12; >$100MM: 12
Median ≈ $112K
(Excl. <$2.5MM)
Median ≈ $142K
6
GROWTH RATES
7
2
17
44 45
32
18
13
30
23
69
3
10
35
48
36
20
23 23
19
72
0
10
20
30
40
50
60
70
80
<0% 0%-10% 10%-20% 20%-30% 30%-40% 40%-50% 50%-60% 60%-80% 80%-100% >100%
NumberofCompanies
2014 GAAP Revenue Growth 2015E GAAP Revenue Growth
How Fast Did / Will You Grow GAAP Revenues?
293 and 289 respondents, respectively
Median 2014 GAAP Rev Growth ≈ 44%
Median 2015E GAAP Rev Growth ≈ 46%
Comparison with
Previous Surveys
These results are
markedly up from medians
of 37% and 42% growth
for 2013 and 2014E,
respectively, reported in
last year’s survey, and
closer to the 2013 survey
results (41% and 47% for
2012 and 2013E growth,
respectively).
The median
revenue growth
achieved by
survey
respondents in
2014 was 44%,
while the median
projected growth
for 2015 is 46%.
8
0
10
27
34
23
12
10
24
8
21
1
7
23
36
28
12
17
14
9
19
0
5
10
15
20
25
30
35
40
<0% 0%-10% 10%-20% 20%-30% 30%-40% 40%-50% 50%-60% 60%-80% 80%-100% >100%
NumberofCompanies
2014 GAAP Revenue Growth 2015E GAAP Revenue Growth
How Fast Did / Will You Grow GAAP Revenues?
(Excluding Companies <$2.5MM in Revenue)
169 and 166 respondents, respectively
Median 2014 GAAP Rev Growth ≈ 36%
Median 2015E GAAP Rev Growth ≈ 36%
As expected,
many of the
fastest growers
are among the
smallest
companies.
Eliminating them
brings median
growth rates
down
approximately
10% points.
9
43%
70%
36%
29%
31%
36%
35%
31%
0%
10%
20%
30%
40%
50%
60%
70%
80%
$2.5MM-
$5MM
$5MM-
$7.5MM
$7.5MM-
$10MM
$10MM-
$15MM
$15MM-
$25MM
$25MM-
$40MM
$40MM-
$75MM
>$75MM
2014RevenueGrowthRate
2014 GAAP Revenue
Median Growth Rate as a Function of Size of Company
(Excluding Companies <$2.5MM in Revenue)
Respondents: $2.5MM-$5MM: 35, $5MM-$7.5MM: 18, $7.5MM-$10MM: 14, $10MM-$15MM: 17, $15MM-25MM: 26, $25MM-
$40MM: 18, $40MM-$75MM: 19, >$75MM: 20
Median ≈ 36%
The results indicate
that companies in the
$5-$7.5MM range
are among the
fastest growers –
with the median
much greater than
the median of
companies half their
size.
Comparison with
Previous Surveys
We saw a similar
phenomenon of a bump-
up last year for companies
at this size, although our
data was not as finely
segregated (the bump-up
group was $5-$10MM).
10
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
$2.5MM -
$5MM
$5MM-
$7.5MM
$7.5MM-
$10MM
$10MM-
$15MM
$15MM-
$25MM
$25MM-
$40MM
$40MM-
$75MM
>$75MM
2014RevenueGrowthRate
2014 GAAP Revenue
Median Growth Rate as a Function of Size of
Company – Middle Third Group
(Excluding Companies <$2.5MM in Revenue)
87%
84%
38% 38%
52%
43%
27%
61%
23% 24%
26%
21%
Highlighted range represents the 33rd-67th percentile of data
Respondents: $2.5MM-$5MM: 35, $5MM-$7.5MM: 18, $7.5MM-$10MM: 14, $10MM-$15MM: 17, $15MM-25MM: 26, $25MM-
$40MM: 18, $40MM-$75MM: 19, >$75MM: 20
Median ≈ 36%
Looking at the
middle third of
respondents in
each size group
suggests that the
$2.5-$5MM
companies are
also among the
fastest growers.
73%
23%
46%
27%
11
33%
36%
33% 33%
38%
62%
37%
0%
10%
20%
30%
40%
50%
60%
70%
<$5K $5K-$15K $15K-$25K $25K-$50K $50K-$100K $100K-$250K >$250K
2014RevenueGrowth
Median Contract Size (ACV)(1)
Median Growth Rate as a Function of Contract Size
(Excluding Companies <$2.5MM in Revenue)
(1): Annual Contract Value (ACV) is defined as annualized monthly run rate in recurring SaaS revenues, excluding professional services,
perpetual licenses and related maintenance
(2): Discrepancy from 35% median on slide 7; smaller set of respondents who answered both questions
Respondents: <$5K: 20, $5K-$25K: 24, $25K-$100K: 44, $100K-$250K: 14, >$250K: 16
Median ≈ 36%(2)
There appears to be
no relationship
between median
contract size and
growth other than a
bump-up for the
$100K- $250K group
(though this could be
skewed by sparse
data in that group).
Comparison with
Previous Surveys
Last year, the bump-up
occurred for companies in
the ranges encompassing
$5K-$100K ACV.
12
31%
37%
23%
65%
43%
0%
10%
20%
30%
40%
50%
60%
70%
Field sales Inside sales Internet sales Channel Sales
(VARs, OEMs, etc)
Mixed
2014GrowthRate
Primary Mode of Distribution(1)
Median Growth Rate as a Function of Sales Strategy
(Excluding Companies <$2.5MM in Revenue)
(1): Primary Mode of Distribution – At least 50% of new ACV bookings from new customers in 2015E come from designated distribution
channel; “Mixed” defined as respondents who didn’t select at least 50% for any designated distribution channel
Respondents: Field: 66, Inside:35, Internet: 8, Channel: 8, Mixed: 46
Median ≈ 35%
We found that median
growth among field
sales dominated
companies slightly
lagged inside sales
dominated companies
(by 6% points), but led
internet sales by 8%
points. Channel sales
dominated companies
grew significantly
faster, though the data
is sparse. Mixed also
performed well.
Comparison with Previous
Surveys
Field sales lagged inside
sales by a greater amount
this year (6% in 2015 vs. an
insignificant 2% difference in
2014).
13
63%
43%
38%
57%
28%
33% 33%
48%
0%
10%
20%
30%
40%
50%
60%
70%
VSB SMB Enterprise Mixed
2014GrowthRate
All Companies Excluding Companies <$2.5MM in Revenue
Median Growth Rate as a Function of Target Customer(1)
(1): Target Customer – At least 50% of revenues come from designated customer base; “Mixed” defined as respondents who didn’t select at
least 50% for any designated customer base
VSB customers defined as <20 employees, SMB as ~100-1,000 employees, and enterprise as >1,000
Respondents: VSB: 18 and 7, SMB: 67 and 36, Enterprise: 97 and 68, Mixed: 105 and 53, respondents, respectively
Median Revenue Growth ≈ 44%
Median Revenue Growth (excl. <$2.5MM Revenue) ≈ 36%
Companies with
mixed/balanced
target customer
strategies are
growing the
fastest.
Otherwise, at
least for
companies
>$2.5MM in
revenues, there
aren’t significant
differences.
Comparison with
Previous Surveys
A big change for the
“mixed” group. Last year’s
survey showed no
advantage for mixed /
balanced target customer
companies.
14
GO-TO-MARKET
15
Primary Mode of Distribution
Primary Mode of Distribution – At least 50% of new ACV bookings from new customers in 2015E come from designated distribution channel;
“Mixed” defined as respondents who didn’t select at least 50% for any designated distribution channel
292 and 163 respondents, respectively
Comparison with
Previous Surveys
Results were very similar
to last year, with a slight
shift away from inside
sales strategies towards
mixed distribution models.
All Companies Excluding Companies
<$2.5MM in Revenue
Field sales
remains the most
popular way to
sell, with 41% of
participants
employing it as
their primary
mode of
distribution (32%
if we exclude
companies with
<$2.5MM in
revenues).
Field Sales
32%
Inside Sales
22%
Internet
Sales
10%
Channel
6%
Mixed
30%
Field Sales
41%
Inside Sales
21%
Internet
Sales
5%
Channel
5%
Mixed
28%
16
8% 11% 13%
17%
45%
52%
77%
62%
15%
27%
45% 34%
24% 7%
46% 19%
10%
3%
3%
4%
8%
8%
10%
3%
5%
5%
8%
23%
35%
23%
41%
24%
37%
18%
31%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
<$1k $1k-$5k $5k-$15k $15k-$25k $25k-$50k $50k-$100k $100k-$250k >$250k
Median Contract Size (ACV)
Field Inside Internet Channel Mixed
Primary Mode of Distribution as a Function of Median
Initial Contract Size
Note: Initial ACV of a contract
2015 Respondents: <$1K: 13, $1K-$5K: 37, $5K-$15K: 40, $15K-$25K: 29, $25K-$50K: 38, $50K-$100K: 27, $100K-$250K: 22,
>$250K: 13
Comparison with
Previous Surveys
Results are very similar to
last year, except for
companies with median
ACVs over $250K, where
in this year’s results, we
see noticeably more
companies using inside
sales.
Analyzed by
contract value,
field sales
dominates for
companies with
median deals
over $50K and
more or less
disappears when
median deal
sizes are below
$15K. There’s
meaningful
bifurcation
among the $15K-
$25K and $25K-
$50K groups.
17
$15K-$50K Median Contract Size
Field-Dominated Inside-Dominated
Revenue $20MM $11MM
Growth Rate 28% 29%
Revenue per FTE $117K $131K
Annual Gross Dollar Churn(1)
7% 12%
Net Dollar Retention Rate(1)
106% 115%
CAC(1)
$1.09 $1.04
S&M % of Revenue 41% 41%
Distribution Strategy – Analysis of Field vs. Inside Sales in
Key Crossover Deal Size Tiers
(Excluding Companies <$2.5MM in Revenue)
(1) See definitions described later in this presentation
Respondents: Field-Dominated: 11; Inside-Dominated: 9
Among companies
selling $15K-$50K
ACV, we compared
those favoring field
vs. inside and
found: (1) larger
companies tended
to favor field; (2)
inside sales driven
companies had
slightly higher
efficiency, as
reflected in $/FTE,
however CAC,
S&M expense
ratios and growth
were virtually
identical; and (3)
gross churn was
higher for inside,
but net dollar
retention was also
higher, suggesting
more success with
“land-and-expand”.
18
6
15
19
14
23
24
17
15
9
0 5 10 15 20 25 30
Less than $0.25
$0.25-$0.50
$0.50-$0.75
$0.75-$1.00
$1.00-$1.25
$1.25-$1.50
$1.50-$2.00
$2.00-$3.00
Over $3.00
CAC(1): How Much Do You Spend for $1 of New ACV from a
New Customer?
(Excluding Companies <$2.5MM in Revenues)
“How much do you spend on a fully-loaded sales & marketing cost basis to acquire $1 of
new ACV from a new customer?”
Median ≈ $1.18
(1): Includes the fully-loaded amount spent on sales & marketing for the win, over multiple periods, if necessary.
142 respondents
Respondents
(excluding the
smallest
companies)
spent a median
of $1.18 to
acquire each
dollar of new
ACV from a new
customer. The
result drops to
$1.06 if we
include
companies with
<$2.5MM in
revenues.
Comparison with
Previous Surveys
The median result is
notably higher than the
$1.07 and $0.92 reported
in the 2014 and 2013
surveys, respectively.
19
$0.68
$0.11 $0.07
$0.55
$0.33
$1.18
$0.28
$0.13
$0.00
$0.25
$0.50
$0.75
$1.00
$1.25
$1.50
New ACV from New
Customer
Upsell to Existing
Customer
Renewals
CAC on New Customers vs. Upsells vs. Renewals
(Excluding Companies <$2.5MM in Revenues)
Respondents: New ACV from New Customer: 142, Upsell to Existing Customer: 102, Renewals: 97
The median CAC
per $1 of upsells
is $0.28, or about
24% of CAC to
acquire each
new customer
dollar. The CAC
for renewals is
$0.13, or 11% of
the CAC to
acquire each
new customer
dollar.
Comparison with
Previous Surveys
The cost of upsells ($.28)
has increased from the
$.18 reported in 2014,
while the cost of renewals
remains almost identical.
25th percentile
75th percentile
Median
20
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Field Sales Inside Sales Channel Internet Sales
<$0.25 $0.25 - $0.50 $0.50 - $0.75 $0.75 - $1.00 $1.00 - $1.25
$1.25 - $1.50 $1.50 - $2.00 $2.00 - 3.00 >$3.00
CAC Spend by Primary Mode of Distribution
Respondents: Field sales: 63, Inside sales: 56, Channel sales: 12, Internet sales: 20 (includes Companies <$2.5MM in revenue)
Comparison with
Previous Surveys
All modes have shown
increases except Internet,
which is down from $0.54
to $0.42.
As expected,
field sales has
the most
expensive CAC
at $1.14, followed
by inside sales at
$0.90. Channel
and online
distribution have
significantly
lower CACs at
$0.66 and $0.42,
respectively.
Median ≈ $0.66 Median ≈ $0.42Median ≈ $1.14 Median ≈ $0.90
21
75%
62%
35%
25%
38%
65%
Field Sales Inside Sales Internet Sales
69%
31%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Overall
%ofCACSales&MarketingSpend
CAC Composition: Sales vs. Marketing Cost % of CAC
Overall, the
median company
devotes 31% of
their CAC to
Marketing
expenses, with
the remaining
69% allocated to
Sales. However,
Inside Sales- and
Internet Sales-
driven
companies have
a much greater
reliance on
Marketing, with
38% and 65% of
their CAC
budgets devoted
to Marketing,
respectively.
Respondents: 290; Field Sales: 93; Inside Sales: 64; Internet Sales: 28
Note: Overall group also includes Channel Sales and Mixed Strategy dominated companies not shown on graph
75%
62%
35%
25%
38%
65%
Field sales Inside sales Internet sales
Sales Marketing
22
20
39
26
23
16
43
24
10
19
8
6
16
9
7
5
0
5
10
15
20
25
30
35
40
45
50
<3 mos. 3-5 mos. Approx.
6 mos.
7-9 mos. 9-11
mos.
Approx.
1 year
13-15
mos.
15-17
mos.
Approx.
18 mos.
19-21
mos.
21-23
mos.
Approx.
2 years
2.0 - 2.5
years
2.5-3.0
years
>3 years
#ofRespondents
CAC Payback Period
CAC Payback Period (Gross Margin Basis)
271 respondents
For the first time
we asked about
CAC payback
period (defined
as # of months of
subscription
gross profit it
takes to recover
the fully loaded
cost of acquiring
the customer).
Respondents
reported a
median CAC
payback of ~12
months, though
we note a wide
distribution of
responses.
Median ≈ 12 months
23
Median CAC Payback Period by Primary Mode of Distribution
Respondents: All Companies: Field sales: 84, Inside sales: 61, Channel sales: 15, Internet sales: 24, Mixed: 83 (includes Companies <$2.5MM
in revenue)
Respondents (>$2.5MM Revenue): Field sales: 60, Inside sales: 33, Internet sales: 7, Channel sales: 7, Mixed: 44
13.4
12.0
7.3
8.0
12.0
14.5
12.0
10.0
14.0
12.0
0
2
4
6
8
10
12
14
16
Field sales Inside sales Internet sales Channel Mixed
CACPaybackPeriod(months)
Distribution Type
All Companies Excluding Companies <$2.5MM in Revenue
Field Sales-
dominated
companies have
20% longer CAC
payback periods
than those
primarily using
Inside Sales,
which in turn
have
approximately
20% longer CAC
payback periods
than those
relying primarily
on Internet Sales.
24
11%
15%
14%
17%
21%
16%
32%
28%
0%
5%
10%
15%
20%
25%
30%
35%
<$1.25M $1.25MM -
$2.5MM
$2.5MM -
$5MM
$5MM -
$15MM
$15MM -
$25MM
$25MM -
$40MM
$40MM -
$75MM
>$75MM
%NewACVfromUpsells
2014 GAAP Revenue
What Percentage of New ACV is from Upsells to Existing
Customers?
Respondents: <$1.25MM: 71, $1.25MM-$2.5MM: 19, $2.5MM-$5MM: 23, $5MM-$15MM: 35, $15MM-25MM: 22, $25MM-$40M: 15,
$40MM-$75M: 17, >75MM: 15
Median ≈ 16%
Comparison with
Previous Surveys
Largely consistent with
prior years’ results.
The median
respondent gets 16%
of new ACV sales
from upsells; larger
companies rely more
heavily on upsells.
25
9%
8%
18%
15%
16%
13%
27%
13%
18%
17%
23% 23%
25%
37%
0%
5%
10%
15%
20%
25%
30%
35%
40%
<$2.5MM $2.5MM to
$5MM
$5MM to
$10MM
$10MM to
$15MM
$15MM to
$25MM
$25MM to
$40MM
>$40MM
%NewACVfromUpsells
2014 GAAP Revenue
Bottom 50% Growers Top 50% Growers
Are the Fastest Growing Companies Relying More on
Upsells?… Yes
Median ≈ 16%
Almost across
the board, the
fastest growers
tended to have
noticeably more
reliance on
upsells.
Respondents: <$2.5MM: 86, $2.5MM-$5MM: 23, $5MM-$10MM: 23, $10MM-$15MM: 12, $15MM-25MM: 22 $25MM-$40M: 15, >$40MM: 32
Comparison with
Previous Surveys
2014 showed a similar
result for companies
above $10MM but not
below. Now the fastest
growing smaller
companies are also
focusing on upsells.
What Percentage of New ACV is from Upsells to Existing Customers?
26
7
5
7
3
16
15
10
16
8
7
16
18
0 10 20
< (25%)
(15%)-(25%)
(5%)-(15%)
(1%)-(5%)
0%
0-10%
10-20%
20-25%
25-30%
30-40%
40-50%
>50%
45
35
21
12
5
5
1
2
0 10 20 30 40 50
0-10%
10-25%
25-50%
50-75%
75-100%
100-150%
150-200%
>200%
Professional Services Impact on Go-to-Market
(Excluding Companies <$2.5MM in Revenue)
126 and 128 respondents, respectively
Professional Services
(as % of 1st year ACV)
Professional Services Margin
Median ≈ 20%
Professional
services play a
minor role for
most, with the
median company
booking P.S.
revenues on new
deals equivalent
to 18% of first
year subscription
contract value.
Median P.S.
margins are
approx. 20%.
Comparison with
Previous Surveys
Median attach rates are
up, from 13% in the 2014
survey to 18% this year.
Margins are unchanged.
Median ≈ 18%
27
26%
18% 18%
11%
0%
5%
10%
15%
20%
25%
30%
Enterprise SMB VSB Mixed
ProfessionalServices%of1stYearACV
Target Customer
Professional Services (% of 1st Year ACV) as a Function of
Target Customer
(Excluding Companies <$2.5MM in Revenue)
Median ≈ 18%
Respondents: Enterprise: 52, SMB: 27, VSB: 3, Mixed: 40
As expected,
companies
which are
focused mainly
on enterprise
sales have
higher levels of
professional
services.
Comparison with
Previous Surveys
Attach rates ticked up
significantly across the
board (2014 survey:
Enterprise 18%, SMB 8%,
VSB 6%, Mixed 9%).
28
15
5
11
16
18
29
39
42
29
32
0 5 10 15 20 25 30 35 40 45
<50%
50-55%
55-60%
60-65%
65-70%
70-75%
75-80%
80-85%
85-90%
>90%
Subscription Gross Margins
“What is your gross profit margin on just subscription/SaaS revenues?”
236 respondents
Median
subscription
gross margins
are 78% (nearly
identical when
removing the
smallest
companies from
the group).
Median ≈ 78%
>90%
<50%
Comparison with
Previous Surveys
Virtually unchanged from
the 2014, 2013 and 2012
results.
29
None
0-10%
10-25%
> 25%
73%
13%
5%
9%
None
0-10%
10-50%
> 50%
Freemium / “Try Before You Buy”
“Freemium”
Expected New ACV in 2014 from
“Freemium” Leads
“Try Before You Buy”
Expected New ACV in 2014 from
“Try Before You Buy” Leads
255 and 281 respondents, respectively
Comparison with
Previous Surveys
Very consistent results
with previous years.
Approximately
30% of
companies
derive some
amount of new
ACV from
“freemium”
strategies,
though virtually
no one drives
their business on
it. “Try Before
You Buy” is
much more
commonly used:
60% derive
revenues through
this strategy, and
30% derive the
majority of their
new ACV
through “Try
Before You Buy”.
New ACV
New ACV
New ACV
New ACV
New ACV
New ACV
New ACV
39%
13%
19%
30%
New ACV
30
6 5
20
16
9
25
30
49
28
12
6
20
6
23
0
10
20
30
40
50
60
0-1% 1-3% 3-5% 5-6% 6-7% 7-8% 8-9% 9-10% 10-11% 11-12% 12-13% 13-15% 15-17% 17+%
NumberofRespondents
Sales Commission (As % of ACV)
Sales Commissions
255 Respondents
Median Commission Paid ≈ 9%
Comparison with
Previous Surveys
Overall consistent with
2014, 2013 and 2012
results, though granular
bucketing of potential
survey responses this
year resulted in additional
detail.
The median
reported sales
commission rate
for the group is
approx. 9% of
ACV.
31
0
1
12
8
3
6
13
24
13
7
3
10
1
10
1
2
5 5
3
9
12 12
7
1
2
7
3 3
0
5
10
15
20
25
30
0-1% 1-3% 3-5% 5-6% 6-7% 7-8% 8-9% 9-10% 10-11% 11-12% 12-13% 13-15% 15-17% 17+%
NumberofRespondents
Sales Commission (As % of ACV)
Field Inside
Sales Commissions by Sales Strategy
Respondents: Field : 111, Inside: 72
Median Inside Commission Paid ≈ 8.9%The survey
results indicate
that median
sales
commission rates
are only slightly
higher for Field
Sales versus
Inside Sales.
Median Field Commission Paid ≈ 9.5%
Comparison with
Previous Surveys
Similar to 2014 survey
results, though granular
bucketing of potential
survey responses this
year resulted in
additional detail.
32
8%
9%
10% 10% 9.5% 9.5%
0%
2%
4%
6%
8%
10%
12%
<$1K $1K-$5K $5K-$25K $25K-$100K $100K-$250K >$250k
MedianSalesCommission
Median Contract Size (ACV)
Sales Commissions as a Function of Median
Contract Size
Respondents: <$1K: 8, $1K-$5K: 34, $5K-$25K: 64, $25K-$100K: 59, $100K-$250K: 21, >$250K: 13
Median ≈ 9%
Comparison with
Previous Surveys
In 2014, “Elephant
hunters” (>$250k median
ACV) had materially lower
commission rates (7%).
We note that the 2015
results are consistent with
results from two years
ago.
There was a high
degree of
consistency in
commission rates
across contract
sizes.
33
Additional Commission for
Extra Years on Initial Contract

No Additional
Commission
32%
 Nominal Kicker 26%
 Full Commission 20%
% of Respondents Paying:
Upsells
8%
% of Respondents
Paying Full
Commission(1)
45%
Median
Commission Rate
on Upsells
Renewals
2%
% of Respondents
Paying 0-1%
on Renewals
42%
Median
Commission Rate
on Renewals
Commissions for Renewals, Upsells and Multi-Year Deals
(1) Same rate (or higher) than new sales commissions
Respondents: Renewals: 224, Upsells: 233, Extra Years on Initial Contract: 216
Comparison with
Previous Surveys
The most significant
changes this year include:
1) Upsells: this year just
45% paid full commission
rates on upsells, vs. 58%
in last year’s group;
2) This year just 32% paid
no additional commission
on longer term contracts
vs. 42% in last year’s
group.
Not surprisingly,
commissions on
renewals are
typically deeply
discounted, with
a median rate of
2%. Upsells
command a
median rate of
8%, and nearly
half of the
companies pay
full commissions
on upsells.
34
6%
3%
8%
6%
8%
7%
0%
1%
2%
3%
4%
5%
6%
7%
8%
0-1% 1-3% 3-5% 5-7% 7-9% >9%
GrossDollarChurn%
Commissions on Renewals
Effect of Renewal Commission Rates on Gross Dollar
Churn
(Excluding Companies <$2.5MM in Revenue)
(1) The difference in medians compared to pg. 52 is due to different samples.
Respondents: 0-1%: 35, 1-3%: 35, 3-5%: 13, 5-7%: 10, 7-9%: 5, >9%: 8
Median ≈ 6%(1)
One natural
question to ask is
whether
companies which
pay higher
commissions on
renewals
experience lower
churn. The
following chart
suggests that
there is little
correlation
between
commissions on
renewals and
gross churn.
35
33%
38%
27%
33%
57%
0%
10%
20%
30%
40%
50%
60%
70%
0-1% 1-3% 3-5% 5-7% >7%
2014RevenueGrowth
Commissions on Renewals
Median Growth Rate as a Function of Commissions
on Renewals
(Excluding Companies <$2.5MM in Revenue)
Median ≈ 35%
Respondents: 0-1%: 52, 1-3%: 43, 3-5%: 15, 5-7%: 11, >7%: 15
Companies
offering 7% or
greater
commissions on
renewals have
experienced the
highest growth
rate.
36
OPERATIONAL ASPECTS
37
Self-
Managed
Servers
37%
Amazon
Web
Services
(AWS)
40%
Salesforce1
5%
Azure
3%
Other Third
Party
16%
Self-
Managed
Servers
35%
Amazon
Web
Services
(AWS)
44%
Salesforce1
4%
Azure
6%
Other Third
Party
11%
How is Your SaaS Application Delivered?
Respondents: Now: 282 respondents, 3 Years from Now: 280 respondents
Now 3 Years from Now
We asked
participants to
provide information
on their primary
application delivery
method (in-house
or third-party) and
how they expect
that to change over
the next three
years. Over 60%
already use 3rd
parties
predominantly (two-
thirds of which is
AWS); expectations
for the future show
little change.
Comparison with
Previous Surveys
The trend toward using 3rd
party public cloud is huge
– self-managed is down
from 52% last year to 37%
this year!
38
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Less than
$1.25MM
$1.25MM to
$2.5MM
$2.5MM to
$5MM
$5MM to
$10MM
$10MM to
$15MM
$15MM to
$25MM
$25MM to
$40MM
Greater than
$40MM
Self-Managed Servers Amazon Web Services (AWS) Salesforce1 Microsoft Azure Other Third Party
SaaS Application Delivery Method(1) as a Function
of Size of Company
(1): Defined as “predominant” mode of delivery
Respondents: Less than $1.25MM: 96, $1.25MM-$2.5MM: 27, $2.5MM-$5MM: 34, $5MM-$10MM: 30, $10MM-$15MM: 14,
$15MM-$25MM: 25, $25MM-$40MM: 17, Greater than $40MM: 36, respectively
When filtered by
company size,
smaller
respondents
reported more
frequent use of
third-party
providers as their
primary
application
delivery method,
while the largest
companies were
more likely to use
self-managed
servers.
Comparison with
Previous Surveys
We see a shift away from
self-managed at every
level.
39
60%
23%
38%
31% 32%
43%
33%
82%
67%
68%
36%
28%
33%
52%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
<$2.5MM $2.5MM to
$5MM
$5MM to
$10MM
$10MM to
$15MM
$15MM to
$25MM
$25MM to
$40MM
>$40MM
2014RevenueGrowthRate
2014 GAAP Revenue
Self Managed Third-Party
Comparison of Growth Rates for Companies Managing
Their Own Servers vs. Using 3rd Parties
Respondents: <$2.5MM: 24 and 92, $2.5MM-$5MM: 11 and 23, $5MM-$10MM: 14 and 16, $10MM-$15MM: 6 and 8, $15MM-$25MM: 13 and
12, $25MM-$40MM: 8 and 9, >$40MM: 26 and 10, respectively
Companies that
delivered their
applications
through third -
party managed
servers generally
experienced
faster growth
rates (in some
cases
considerably
faster)
Self-Managed
Median ≈ 32%
Third-Party
Median ≈ 47%
40
6% 6%
16%
4%
5%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
Self-Managed
Servers
Amazon Web
Services (AWS)
Salesforce1 Microsoft Azure Other Third Party
2014ApplicationDeliveryCostas%ofRevenue
What Are Your Operational Costs to Deliver the SaaS
Application?
Respondents: Self-Managed: 86, AWS: 101, Salesforce1: 10, Microsoft Azure: 8, Others: 38
Median ≈ 6%
Respondents
relying primarily
on self-managed
servers reported
a median
delivery cost of
6% of sales,
comparable to
those primarily
using AWS. The
median cost of
delivery for
respondents on
Salesforce1 was
considerably
higher at 16%.
Comparison with
Previous Surveys
Largely consistent with
2014 results.
Significantly more expensive, but
see following analysis suggesting
comparable overall costs
41
77% 78%
83%
90%
79%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Self-Managed
Servers
Amazon Web
Services (AWS)
Salesforce1 Microsoft Azure Other Third Party
2014SubscriptionGrossMargin
Subscription Gross Margin as a Function of SaaS
Application Delivery Method
Respondents: Self-Managed: 90, AWS: 87, Salesforce1: 12, Microsoft Azure: 5, Others: 35
Median ≈ 78%
Interestingly,
despite the
aforementioned
differences in
estimated
operational
costs, median
subscription
gross margins
were much more
closely aligned
when filtered by
SaaS application
delivery method.
(Azure aberration
is likely due to
sparse data).
42
8%
11%
7%
5%
9%
11%
6%
10%
4%
10%
6% 6%
8%
11%
0%
2%
4%
6%
8%
10%
12%
<$2.5MM $2.5MM to
$5MM
$5MM to
$10MM
$10MM to
$15MM
$15MM to
$25MM
$25MM to
$40MM
>$40MM
2014ApplicationDeliveryCostasa%ofRevenue
2014 GAAP Revenue
Self-Managed Third-Party
Operational Costs as a Function of SaaS Application
Delivery, Grouped by Size Tiers
Somewhat
surprisingly,
among
respondents, a
company’s size
has little impact
on delivery costs
as a percentage
of revenues.
Third-Party
Median ≈ 9%
Respondents: <$2.5MM: 22 and 56, $2.5MM-$5MM: 8 and 19, $5MM-$10MM: 10 and 14, $10MM-$15MM: 5 and 5, $15MM-$25MM: 13 and 11,
$25MM-$40MM: 5 and 9, >$40MM: 20 and 8, respectively
Self-
Managed
Median ≈ 7%
Comparison with
Previous Surveys
In 2014, companies
deploying self-managed
servers generally faced
greater operational
costs.
43
COST STRUCTURE
44
2015E Median "At Scale"(1)
Median
Gross Margin 74% 79%
Operating Expense Margins:
Sales & Marketing 32% 27%
R&D 24% 19%
G&A 16% 13%
EBITDA 1% 17%
FCF 3% 17%
YoY Growth Rate 31% 25%
Cost Structure and Future Expected Operating Leverage
(Excluding Companies <$2.5MM in Revenue)
(1): Note – Survey describes scale as “$100 million in revenues or higher.”
Respondents: 2015E Median: 134, “At Scale” Median: 130, <$2.5MM Median: 95
Comparison with
Previous Surveys
Very similar results to last
year’s survey.
The median numbers
reflect respondents’
beliefs that the most
operating leverage will
come from
improvements in gross
margin, S&M and R&D.
45
Median Cost Structure by Size
(Includes Only Companies with >$2.5MM in ACV)
Note that numbers do not add due to the fact that medians were calculated for each metric separately and independently
(1): Annual Contract Value (ACV) is defined as total annualized recurring SaaS revenues, excluding professional services, perpetual licenses
and related maintenance
Respondents: $2.5MM-$5MM: 21, $5MM-$10MM: 26, $10MM-$15MM: 16, $15MM-25MM: 21, $25MM-$40MM: 12, >$40MM: 52
All Size of Company (ACV)
(1)
2014 Respondents $2.5-$5M $5-$10M $10-$15M $15-$25M $25-$40M >$40M
Total Gross Margin 71% 81% 83% 64% 69% 61% 70%
Subscription 79% 83% 83% 74% 76% 77% 76%
Professional Services 15% 32% 17% 23% 14% 0% 15%
Operating Expense Margins:
Sales & Marketing 33% 23% 31% 37% 46% 36% 36%
R&D 25% 28% 26% 31% 29% 26% 22%
G&A 16% 17% 16% 22% 17% 14% 16%
EBITDA Margin (5%) 5% 4% (23%) (13%) (20%) (3%)
46
Total Revenue Run-Rate
~$25MM ~$50MM ~$100MM
Median Values
Gross Margin 63% 64% 67%
Sales & Marketing 47% 44% 44%
Research & Development 23% 19% 19%
G & A 17% 16% 15%
EBIT Margin (29%) (17%) (6%)
FCF Margin (10%) (5%) (2%)
YoY Revenue Growth Rate
(1)
120% 67% 44%
For Comparison: Historical Results of Selected
Public SaaS Companies
(1): YoY Revenue Growth compares against previous year’s revenue of the companies at the time
Note: Excludes stock-based compensation (SBC)
Median includes ALRM, AMBR, APPF, ATHN, BCOV, BNFT, BOX, BV, CNVO, COVS, CRM, CSOD, CTCT, CVT, DMAN, DWRE, ECOM,
EOPN, ET, FLTX, HUBS, LOGM, MB, MKTG, MKTO, MRIN, N, NEWR, NOW, OPWR, PAYC, PCTY, PFPT, QLYS, RNG, RNOW, RP, SFSF,
SHOP, SPSC, SQI, TLEO, TXTR, VEEV, VOCS, WDAY, WK, XTLY, YDLE and ZEN
~$25M median excludes BNFT, COVS, CVT, FLTX, PAYC, PCTY, QLYS, RNG, RP, VEEV and WDAY
~$50M median excludes RP and TXTR
~$100M median excludes AMBR, APPF, BCOV, DMAN, DWRE, ECOM, EOPN, MB, MKTO, MRIN, PCTY, QLYS, SPSC, SQI, TXTR and
XTLY
47
33%
24%
28%
27%
28%
26%
41%
38%
41% 42%
43%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
<10% 10-15% 15-20% 20-25% 25-30% 30-35% 35-40% 40-50% 50-60% 60-80% >80%
Median2014Sales&MarketingSpendas%ofRevenue
2014 Growth Rate
Sales & Marketing Spend vs. Growth Rate
(Excluding Companies <$2.5MM in Revenue)
Median ≈ 32%
Respondents: <10%: 9, 10-15%: 9, 15-20% : 9, 20-25%: 14, 25-30%: 15, 30-35%: 10, 35-40%: 8, 40-50%: 11, 50-60%: 10,
60-80%: 19, >80%: 19
Comparison with
Previous Surveys
Very similar results to last
year’s survey.
Not surprisingly,
companies which
spend more on sales
& marketing (as a %
of revenue) grew at a
faster rate than those
which spend less. It
is interesting to see a
step function at 35%
growth, and not much
increase in sales &
marketing spend
required for higher
growth rates.
48
CONTRACTING & PRICING
49
12
36
50
24
40
27
18
18
2
0 20 40 60
Less than $1,000
$1k-$5k
$5k-$15k
$15k-$25k
$25k-$50k
$50k-$100k
$100k-$250k
$250k-$1MM
Greater than $1MM
Median Annual Contract Size (ACV) of a Customer
227 respondents
Median ≈ $21K
Comparison with
Previous Surveys
These results are in-line
with previous survey
medians of $21K, $20K
and $24K in 2014, 2013
and 2012, respectively.
The median
initial annual
contract size
(subscription
component only)
for the group was
$21K per year.
50
Monthly
36%
Quarterly
11%
Quarterly
to <1 Year
9%
1 Year
43%
1-2+ Years
1%
Month to
month
11%
Less than
1 year
10%
1 to 2
years
51%
2 to 3
years
16%
3 years or
more
12%
Median / Typical Contract Terms for the Group
Respondents: Average Contract Length: 240, Average Billing Period: 239
Median ≈ 1.5 years Median ≈ 6 months
Average Contract Length Average Billing Period
Comparison with
Previous Surveys
Essentially the same
median contract length as
in the 2014 survey, while
the group has shown
slightly more aggressive
(longer forward) billing
(median of 6 months vs. 3
months last year).
The median
average contract
length is 1.5
years; and the
median billing
term is six
months in
advance.
51
Contract Length as a Function of Contract Size
Respondents: <$1K: 12, $1K-$5K: 36, $5K-$25K: 74, $25K-$100K: 67, $100K-$250K: 18, >$250K: 20
Comparison with
Previous Surveys
Companies in the
"elephant hunter" group
are booking longer term
contracts. Respondents
with >$250K ACV book
35% of their contracts at 3
years or longer (compared
to only 5% in the 2014
group).
The phenomenon
of longer contract
terms for larger
contracts is
pretty clear.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
<$1k $1k-$5k $5k-$25k $25k-$100k $100k-$250k >$250k
AverageContractLength
Median Contract Value (ACV)
Month to month Less than 1 year 1 to 2 years 2 to 3 years 3 years or more
52
Seats
34%
Usage or
transactions
24%
Sites
8%
Total
employees
6%
Database
size
5%
Other
23%
What is Your Primary Pricing Metric?
“Other” includes: Data usage, number of apps being tested, email volume, customer devices and amount of content
240 respondents
Comparison with
Previous Surveys
These results are largely
in-line with 2014, 2013
and 2012 results.
53
26
19
15
36
39
0 10 20 30 40
1-3%
4-6%
7-9%
10-15%
> 15%
AnnualUnitChurn
Annual Unit Churn(1)
(Excluding Companies <$2.5MM in Revenue)
Median ≈ 10%
(1): Percentage churn of # of paid customers at year-end 2013 that were still customers at year-end 2014
135 respondents
Comparison with
Previous Surveys
This result is slightly
higher than the 2014 and
2013 results of 8%.
Reported median
annual unit churn
(by customer
count) is 10% for
the group.
54
52
39
13
11
13
0 10 20 30 40 50 60
<5%
5-10%
10-15%
15-20%
>20%
AnnualGrossDollarChurn
Annual Gross Dollar Churn
(Excluding Companies <$2.5MM in Revenue)
“What percentage of total ACV on a dollar basis churns in a given year?”(1)
(1): Excluding the benefit of upsells
128 respondents
Median ≈ 7%
Comparison with
Previous Surveys
This result is in the same
range as earlier results
(6% in 2014, 8% in 2013,
5% in 2012).
Median annual
gross dollar
churn (without
the benefit of
upsells) is 7%.
The results were
virtually the same
when including
companies
<$2.5MM in
revenues.
55
8%
12%
7%
4%
3%
3%
0%
2%
4%
6%
8%
10%
12%
14%
Month to month 1 year or less 1 to 2 years 2 years 3 years 4+ years
Average Contract Length
Annual Gross Dollar Churn as a Function of
Contract Length
(Excluding Companies <$2.5MM in Revenue)
Respondents: Month to Month: 5, Less than 1 year: 30, 1 to 2 years: 49, 2 years: 15, 3 years: 19; 4+ years: 10
Median ≈ 7%
Comparison with
Previous Surveys
Results are consistent
with those from last year;
the exception being
companies using month to
month contracts, which
show significantly lower
churn rates in this year’s
survey (8% vs. 13% in the
2014 survey).
Not surprisingly,
companies with
very long term
contracts (2+
years) have the
lowest annual
dollar churn. As
expected,
companies with
short-term
contracts (<1
year) tend to
experience
higher churn.
56
8.8%
9.2%
6.3%
10.8%
7.4%
4.4%
3.1%
3.4%
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
1 to 2 years 2 years 3 years 4+ years
Contract Length
Non-Renewals Annualized Gross Churn
Close-Up: Annual Non-Renewal Rates(1) vs. Gross Churn
for Companies with Long-Term Contracts
(Excluding Companies <$2.5MM in Revenue)
(1) Annual non-renewal rate is based on only contracts up for renewal in a particular year
Respondents: 1 to 2 years: 49, 2 years: 15, 3 years: 19; 4+ years: 10
Non-Renewal
Median for the
LT Contract
Group ≈ 8.3%
The respondent
data would
suggest that
companies with
contract lengths
of greater than
one year actually
experience
equivalent, if not
greater, non-
renewal rates
when only
considering
dollars up for
renewal
compared to its
peers preferring
sub-annual
contracts
57
13%
8%
8%
5%
4%
5%
0%
2%
4%
6%
8%
10%
12%
14%
<$1K $1K-$5K $5K-$25K $25K-$100K $100K-$250K >$250K
GrossDollarChurn
Median Contract Size (ACV)
Annual Gross Dollar Churn as a Function of
Contract Size
(Excluding Companies <$2.5MM in Revenue)
Respondents: <$1K: 4, $1K-$5K: 15, $5K-$25K: 36, $25K-$100K: 36, $100K-$250K: 19, >$250K: 10
Comparison with
Previous Surveys
Very similar to previous
results.
As contract sizes
increase, gross
dollar churn
generally trended
downwards
(mostly related to
longer term
contracts,
presumably).
58
5%
11%
8%
4%
8%
0%
5%
10%
15%
Field Sales Inside Sales Internet Sales Channel Mixed
AnnualGrossDollarChurn
Annual Gross Dollar Churn as a Function of Primary
Distribution Mode
(Excluding Companies <$2.5MM in Revenue)
Respondents: Field Sales: 55, Inside Sales: 24, Internet Sales: 4, Channel Sales: 7, Mixed: 38
Median ≈ 7%
Comparison with
Previous Surveys
Largely consistent with
previous survey results.
Those
companies
employing
primarily field
sales had lower
churn rates than
those employing
primarily inside
sales or mixed
distribution.
59
11
9
8
19
39
30
37
38
29
0 20 40 60
<80%
80-90%
90-95%
95-100%
~100%
100-105%
105-110%
110-120%
>120%
Annual Net Dollar Retention from Existing Customers
Median ≈ 104%
“How much do you expect your ACV from existing customers to change,
including the effect of both churn and upsells?”(1)
100%+NetRetention
(Upsellsgreater
thanchurn)
NetChurn
(Churngreater
thanupsells)
(1): We define this as the “net dollar retention rate”
220 respondents
Comparison with
Previous Surveys
Nominally higher than
2014 (103%) and 2013
(101%) and 2 percentage
points lower than 2012
(106%).
The median
annual net dollar
retention rates,
including churn,
but also including
the benefit of
upsells, is 104%.
The result does
not change
materially when
removing the
smallest
companies
(<$2.5MM in
revenue) from
the group (likely
due to longer
contracting).
60
Unit Economic
Leaders
( Subscription GM > 80%; CAC All
< $1.50; and Net $ Retention > 100%) Others
Business and HQ
Vertical 44% 25%
End Customer 44% Enterprise 50% Enterprise
Revenue
Median 2014 Revenue $9MM $23MM
% of Companies >$25MM 17% 47%
Median Growth Rate 31% 35%
Revenue per FTE $138K $151K
Primary Distribution Mode
- Field Sales Dominated 71% 53%
- Inside Sales Dominated 18% 22%
Application Delivery
- 3rd Party Managed (e.g. AWS, Salesforce, etc.) 53% 48%
Median ACV Per Customer $28K $30K
Billing
- % Companies Billing 1 Year or More in Advance 47% 44%
% New ACV from Upsells 26% 19%
Comparison of Unit Economic Leaders to All Other
Companies
(Excluding Companies <$5MM in Revenue)
Respondents: Unit Economic Leaders: 18, All Others: 114
Superior unit
economics – high
lifetime value of
customer (LTV)
and low CAC –
are critical
success factors.
We compared
companies with
the strongest
metrics used to
derive LTV and
CAC with
everyone else,
and found some
interesting
patterns.
Comparison with
Previous Surveys
Among the Unit Economic
Leaders we see: smaller
companies, more field
dominated selling, more
vertical market SaaS
companies; smaller
component Enterprise end
customers; and higher
component of upsells.
61
CAPITAL REQUIREMENTS
62
39
17
18
22
29
10 15 20 25 30 35 40 45
Less than $5MM
$5MM to $15MM
$15MM to $25MM
$25MM to $50MM
Greater than $50MM
Equity Capital Raised So Far
Median ≈ $19MM
Respondents; Everybody: 125; >$2.5M: 91
Comparison with
Previous Surveys
Well above the 2014 and
2013 results of $8MM in
raised capital. However,
these results are similar to
the $23MM in capital
raised by participants in
the 2012 and survey.
Companies in the
survey group
have raised a
median of
roughly $19MM
in primary equity
capital so far
(excluding
secondary stock
sales). If we
exclude
companies
<$2.5MM, the
median jumps up
to $32MM.
Median ≈ $32MM
(excluding <$2.5MM)
63
Median
Amount No. of 2014 GAAP 2015E
Raised to Date Respondents Revenue Growth
Less than $5MM 35 $2MM 55%
$5MM to $15MM 16 $11MM 31%
$15MM to $25MM 18 $19MM 33%
$25MM to $50MM 22 $20MM 31%
Greater than $50MM 29 $40MM 33%
Analysis of Companies by Equity Capital Raised
120 respondents
Comparison with
Previous Surveys
The 2015 respondents
have much greater
revenue traction per
dollars raised than
previous years’ groups.
64
All Participants Excluding Companies <$2.5MM in Revenue
Years Investment Years Investment
Target Required Required Required Required
$1MM ACV 2 $3MM 2 $3MM
$5MM ACV 3 $6MM 4 $6MM
$15MM ACV 5 $10MM 6 $13MM
$40MM ACV 7 $17MM 8 $24MM
Capital Efficiency Expectations – Median Levels for the
Group
Actual/expected time and investment required to reach:
207 and 115 respondents, respectively
Comparison with
Previous Surveys
Very similar to 2014 and
2013 survey results.
65
% Using Median Debt Median Debt-to-MRR
2014 Revenue Range Debt(1)
Level(2)
Ratio
Less than $5MM 15% $1MM 2.0x MRR
$5MM to $10MM 58% $4MM 2.5x MRR
$10MM to $15MM 88% $4MM 3.2x MRR
$15MM to $25MM 90% $8MM 2.9x MRR
$25MM to $40MM 92% $9MM 2.8x MRR
Greater than $40MM 100% $20MM 3.6x MRR
Use of Debt Capital Among Private SaaS Companies
(1) % of companies with at least $1MM of debt
(2) Median among companies with at least $1MM of debt; includes debt outstanding plus availability under existing lines
Respondents: Less than $5MM: 43; $5MM to $10MM: 9; $10MM to $15MM: 8; $15MM to $25MM: 20; $25MM to $40MM: 13; Greater than
$40MM: 22
66
ACCOUNTING POLICIES
67
55%
46% 48%
60%
28%
32%
33%
20%
17%
21% 19% 20%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Whole Group 0-25% 25-75% >75%
Professional Services Attach Rate
Within a week or two of signing Within a month of signing A few months or more after signing
Subscription Revenue Recognition Policies
“When do you typically begin recognizing subscription revenues on a new contract
with a new customer?”
Respondents: 0-25%: 108, 25-75%: 42, >75%: 15
Approximately 55% of
the respondents
indicated that they
begin recognition very
soon (within a week or
two) after signing new
contracts. It’s
interesting to see that
many companies with
significant services
were still able to start
subscription revenue
recognition quickly.
Comparison with
Previous Surveys
Largely unchanged from
previous years’ results.
68
As the
services are
provided
68%
Deferred over
the expected
life of the
customer
6%
Deferred over
the term of the
contract
26%
Professional Services Revenue Recognition Policies
203 respondents
“What is the predominant mode for recognizing professional services revenues?”
The clear
majority of
respondents
offering
professional
services
indicated that
they recognize
that revenue as
the services are
provided.
69
Deferred
recognition
28%
Recognized
upfront
72%
Sales Commission Cost Recognition Policies
214 respondents
“How do you recognize sales commission costs (deferred or recognized upfront)?”
We also inquired
as to the
recognition of
sales
commission
costs. We found
two-thirds of
respondents
indicating that
they recognize
commission
costs up-front.
Comparison with
Previous Surveys
5% increase in
“recognized upfront” from
last year’s 67%.
70
Subscription Revenue Recognition Professional Services Recognition Sales Commission Recognition
Auditor
Within a week or
two of signing
Within a month
of signing
A few months or
more after signing
As the service
is provided
Deferred over
life of customer
Deferred over
contract term
Deferred
recognition
Recognized
upfront
Deloitte 57% 36% 7% 62% 15% 23% 31% 69%
E&Y 59% 27% 14% 68% 0% 32% 15% 85%
KPMG 59% 27% 14% 57% 0% 43% 30% 70%
PWC 53% 24% 24% 75% 8% 17% 44% 56%
BDO 64% 18% 18% 63% 13% 25% 30% 70%
Other 52% 30% 18% 67% 7% 27% 25% 75%
Total 55% 29% 17% 66% 6% 28% 27% 73%
Accounting Policies Across Selected Accounting Firms
Respondents: Deloitte: 14, E&Y: 24, KPMG: 25, PWC: 18, BDO: 11, Other: 117
71
2011-2015 YTD Software and SaaS IPOs
Rank Firm Deals Value ($MM)
1 Pacific Crest Securities 38 $5,809.5
2 Morgan Stanley 30 5,787.4
3 J.P. Morgan 23 4,316.7
4 Goldman Sachs 21 3,830.4
5 Credit Suisse 21 2,930.4
6 Cannaccord 19 3,135.3
7 Raymond James 18 2,493.2
8 Deutsche Bank 17 2,757.7
9 JMP Securities 17 2,624.8
10 Stifel Nicolaus Weisel 17 2,155.4
11 UBS 14 2,956.2
12 William Blair & Co 14 1,400.5
13 Needham & Co 12 1,183.4
14 Barclays 10 1,733.2
15 RBC Capital Markets 10 1,206.7
16 Bank of America 9 1,270.3
17 Wells Fargo 7 1,856.3
18 Allen & Co 6 1,442.5
19 Piper Jaffray & Co 6 792.3
20 Oppenheimer & Co 6 591.9
21 Cowen & Co 5 1,376.4
22 BMO 5 879.4
23 Citi 4 834.2
24 Lazard Capital Markets 4 446.2
25 First Analysis 3 299.7
has been acquired by
PCS Leadership in SaaS and Software – Selected Recent
Transaction Experience
Corporate Finance Advisory
$100,100,000
MINDBODY
(MB)
Initial Public Offering
$150,535,000
Shopify
(SHOP)
Initial Public Offering
$201,250,000
Box
(BOX)
Initial Public Offering
$115,000,000
Hortonw orks
(HDP)
Initial Public Offering
$143,750,000
HubSpot
(HUBS)
Initial Public Offering
$114,999,993
Zendesk
(ZEN)
Initial Public Offering
$114,626,250
Paycom Softw are
(PAYC)
Initial Public Offering
$133,073,876
2U
(TWOU)
Initial Public Offering
$110,503,887
Amber Road
(AMBR)
Initial Public Offering
$300,035,000
Veeva Systems
(VEEV)
Initial Public Offering
$135,240,000
Cvent
(CVT)
Initial Public Offering
$732,550,000
Workday
(WDAY)
Initial Public Offering
$104,535,000
Qualys
(QLYS)
Initial Public Offering
$241,155,000
ServiceNow
(NOW)
Initial Public Offering
has been acquired by has been acquired by
has been acquired by
has been acquired by has been acquired by has been acquired by
has received an
investment from
has received an
investment from
has been acquired by
has divested the
Progress Apama Solution to
has been acquired by
has received an
investment from
has been acquired byhas been recapitalized by
$85,560,000
AppFolio
(APPF)
Initial Public Offering
72
Disclosures
Important Disclosures:
This report has been prepared by Pacific Crest Securities, a division of KeyBanc Capital Markets Inc., herein known as “PCS”. The
material contained herein is based on data from sources considered to be reliable; however, PCS does not guarantee or warrant the
accuracy or completeness of the information. It is published for informational purposes only and should not be used as the primary basis
of investment decisions. Neither the information nor any opinion expressed constitutes an offer, or the solicitation of an offer, to buy or
sell any security. The opinions and estimates expressed reflect the current judgment of PCS and are subject to change without notice.
This report may contain forward-looking statements, which involve risk and uncertainty. Actual results may differ significantly from the
forward-looking statements. This report is not intended to provide personal investment advice and it does not take into account the
specific investment objectives, financial situation and the specific needs of any person or entity.
Pacific Crest’s specific disclosures can be seen here: http://www.pacific-crest.com/disclosures/
Pacific Crest’s privacy policy can be seen here: http://www.pacific-crest.com/privacy-policy/
Survey respondents participated anonymously and confidentially. Responses were received through online surveys taken in June-July
2015. Pacific Crest cannot verify accuracy of responses. Observations and commentary contained herein relate solely to the survey
results and cannot necessarily be applied elsewhere.
About Pacific Crest:
Pacific Crest Securities provides premier investment banking services for technology, operating at the leading edge, where global
connectivity is fueling an unprecedented expansion cycle. We apply our knowledge of the drivers of value creation and global network of
relationships to technology — high-growth sectors, such as Cloud and big data, SaaS, global internet, mobility, next-gen infrastructure
and communications, and industrial and energy technology. As a result, our clients — technology’s foremost institutional investors and
market leading companies — rely on us to achieve superior returns and gain competitive advantage from the seismic shifts occurring in
technology. Pacific Crest Securities is the technology specialist division of KeyBanc Capital Markets Inc., a FINRA registered broker-
dealer. Our sector bankers and transactional specialists collaborate to help clients identify and implement the right course of action,
whether a financing, M&A or alternative event. Our software clients include Box, Cvent, Eloqua, ExactTarget, FireEye, Fleetmatics,
Guidewire Software, Hortonworks, MindBody, Plex, Proofpoint, ServiceNow, SevOne, Splunk, Tableau Software, Veeva Systems,
Workday and Zendesk, among others. Pacific Crest Securities has offices in Boston, Charlotte, New York, Portland, San Francisco,
Seattle, Stamford, as well as the Beijing Representative Office and Pacific Crest Securities UK, Ltd, London.
If you have questions or comments, please contact David Spitz, Managing Director:
dspitz@pacific-crest.com; Twitter @dspitz

Más contenido relacionado

La actualidad más candente

SME trade: the next frontier?
SME trade: the next frontier?SME trade: the next frontier?
SME trade: the next frontier?Stephen Tapp
 
Latest Economic Report from the Rocket Performance Group
Latest Economic Report from the Rocket Performance GroupLatest Economic Report from the Rocket Performance Group
Latest Economic Report from the Rocket Performance GroupIan Howell
 
ib-pulse-check-executive-summary
ib-pulse-check-executive-summaryib-pulse-check-executive-summary
ib-pulse-check-executive-summaryEoghan Trehy
 
Báo cáo xu hướng kinh doanh cho các SMBs
Báo cáo xu hướng kinh doanh cho các SMBs Báo cáo xu hướng kinh doanh cho các SMBs
Báo cáo xu hướng kinh doanh cho các SMBs MarketingTrips
 
The State of Marketplaces - March 2020
The State of Marketplaces - March 2020The State of Marketplaces - March 2020
The State of Marketplaces - March 2020Battery Ventures
 
SMB Business Outlook and Spending Plans
SMB Business Outlook and Spending PlansSMB Business Outlook and Spending Plans
SMB Business Outlook and Spending PlansBredin, Inc.
 
"What is Different This Time Around" at SaaStr Annual 2016
"What is Different This Time Around" at SaaStr Annual 2016"What is Different This Time Around" at SaaStr Annual 2016
"What is Different This Time Around" at SaaStr Annual 2016saastr
 
SMB Purchase Intent and Process
SMB Purchase Intent and ProcessSMB Purchase Intent and Process
SMB Purchase Intent and ProcessBredin, Inc.
 
Citi Hildebrandt 2015 Client Advisory
Citi Hildebrandt 2015 Client AdvisoryCiti Hildebrandt 2015 Client Advisory
Citi Hildebrandt 2015 Client AdvisoryCognia Law
 
Entrepreneur Survey Data 2016
Entrepreneur Survey Data 2016Entrepreneur Survey Data 2016
Entrepreneur Survey Data 2016Jason Caplain
 
Stats for business salse stats in florida
Stats for business salse stats in floridaStats for business salse stats in florida
Stats for business salse stats in floridaMichael Shea PA
 
Apf 3q-2016-earnings-call-11092016-v2
Apf 3q-2016-earnings-call-11092016-v2Apf 3q-2016-earnings-call-11092016-v2
Apf 3q-2016-earnings-call-11092016-v2advancepierre2017ir
 
2017 BCVP Entrepreneur Survey
2017 BCVP Entrepreneur Survey2017 BCVP Entrepreneur Survey
2017 BCVP Entrepreneur SurveyJason Caplain
 
Management tools & trends 2013
Management tools & trends 2013Management tools & trends 2013
Management tools & trends 2013Juris Cernavskis
 

La actualidad más candente (19)

SME trade: the next frontier?
SME trade: the next frontier?SME trade: the next frontier?
SME trade: the next frontier?
 
From the Outside In
From the Outside InFrom the Outside In
From the Outside In
 
Economic report june 2017
Economic report   june 2017Economic report   june 2017
Economic report june 2017
 
Latest Economic Report from the Rocket Performance Group
Latest Economic Report from the Rocket Performance GroupLatest Economic Report from the Rocket Performance Group
Latest Economic Report from the Rocket Performance Group
 
ib-pulse-check-executive-summary
ib-pulse-check-executive-summaryib-pulse-check-executive-summary
ib-pulse-check-executive-summary
 
RENT Report
RENT ReportRENT Report
RENT Report
 
It’s No More BRICs as Usual
It’s No More BRICs as UsualIt’s No More BRICs as Usual
It’s No More BRICs as Usual
 
Báo cáo xu hướng kinh doanh cho các SMBs
Báo cáo xu hướng kinh doanh cho các SMBs Báo cáo xu hướng kinh doanh cho các SMBs
Báo cáo xu hướng kinh doanh cho các SMBs
 
The State of Marketplaces - March 2020
The State of Marketplaces - March 2020The State of Marketplaces - March 2020
The State of Marketplaces - March 2020
 
SMB Business Outlook and Spending Plans
SMB Business Outlook and Spending PlansSMB Business Outlook and Spending Plans
SMB Business Outlook and Spending Plans
 
"What is Different This Time Around" at SaaStr Annual 2016
"What is Different This Time Around" at SaaStr Annual 2016"What is Different This Time Around" at SaaStr Annual 2016
"What is Different This Time Around" at SaaStr Annual 2016
 
SMB Purchase Intent and Process
SMB Purchase Intent and ProcessSMB Purchase Intent and Process
SMB Purchase Intent and Process
 
Citi Hildebrandt 2015 Client Advisory
Citi Hildebrandt 2015 Client AdvisoryCiti Hildebrandt 2015 Client Advisory
Citi Hildebrandt 2015 Client Advisory
 
Investor deck q2 2017
Investor deck q2 2017Investor deck q2 2017
Investor deck q2 2017
 
Entrepreneur Survey Data 2016
Entrepreneur Survey Data 2016Entrepreneur Survey Data 2016
Entrepreneur Survey Data 2016
 
Stats for business salse stats in florida
Stats for business salse stats in floridaStats for business salse stats in florida
Stats for business salse stats in florida
 
Apf 3q-2016-earnings-call-11092016-v2
Apf 3q-2016-earnings-call-11092016-v2Apf 3q-2016-earnings-call-11092016-v2
Apf 3q-2016-earnings-call-11092016-v2
 
2017 BCVP Entrepreneur Survey
2017 BCVP Entrepreneur Survey2017 BCVP Entrepreneur Survey
2017 BCVP Entrepreneur Survey
 
Management tools & trends 2013
Management tools & trends 2013Management tools & trends 2013
Management tools & trends 2013
 

Destacado

Canones y módulo por Raúl Estrada y Humberto Quiñonez
Canones y módulo por Raúl Estrada y Humberto QuiñonezCanones y módulo por Raúl Estrada y Humberto Quiñonez
Canones y módulo por Raúl Estrada y Humberto QuiñonezFabiola Aranda
 
Villanova University Award June2010
Villanova University Award June2010Villanova University Award June2010
Villanova University Award June2010Melanie Elmquist
 
AFP-Walther-offshore-subsea-fluid-connector-technologies
AFP-Walther-offshore-subsea-fluid-connector-technologiesAFP-Walther-offshore-subsea-fluid-connector-technologies
AFP-Walther-offshore-subsea-fluid-connector-technologiesMartin Kerrigan
 
Hospital regional rio gallegos mauricio
Hospital regional rio gallegos  mauricioHospital regional rio gallegos  mauricio
Hospital regional rio gallegos mauriciomauricio_17
 
Le marché média en Allemagne - 2012 / Media Market Germany 2012
Le marché média en Allemagne - 2012 / Media Market Germany 2012Le marché média en Allemagne - 2012 / Media Market Germany 2012
Le marché média en Allemagne - 2012 / Media Market Germany 2012camembert
 
Taller De Vida Familiar
Taller De Vida FamiliarTaller De Vida Familiar
Taller De Vida FamiliarUNASP
 
Facebook:Guia para Profesores
Facebook:Guia para Profesores Facebook:Guia para Profesores
Facebook:Guia para Profesores German Chapeta
 
Cong ngh-truy-nhp-trong-mng-ngn
Cong ngh-truy-nhp-trong-mng-ngnCong ngh-truy-nhp-trong-mng-ngn
Cong ngh-truy-nhp-trong-mng-ngnduyhau_85
 
Património cultural Museu Ibérico da Máscara e do Traje e Museu Abade de Baç...
Património cultural  Museu Ibérico da Máscara e do Traje e Museu Abade de Baç...Património cultural  Museu Ibérico da Máscara e do Traje e Museu Abade de Baç...
Património cultural Museu Ibérico da Máscara e do Traje e Museu Abade de Baç...Artur Filipe dos Santos
 
Tutorial sobre el Comunio
Tutorial sobre el ComunioTutorial sobre el Comunio
Tutorial sobre el Comuniochenche_18
 

Destacado (20)

HoTEL OEB case EFQUEL
HoTEL OEB case EFQUELHoTEL OEB case EFQUEL
HoTEL OEB case EFQUEL
 
Le client HTTP PHP5
Le client HTTP PHP5Le client HTTP PHP5
Le client HTTP PHP5
 
Canones y módulo por Raúl Estrada y Humberto Quiñonez
Canones y módulo por Raúl Estrada y Humberto QuiñonezCanones y módulo por Raúl Estrada y Humberto Quiñonez
Canones y módulo por Raúl Estrada y Humberto Quiñonez
 
Proyecto
ProyectoProyecto
Proyecto
 
email signature Alet
email signature Aletemail signature Alet
email signature Alet
 
Dios te dice
Dios te diceDios te dice
Dios te dice
 
Villanova University Award June2010
Villanova University Award June2010Villanova University Award June2010
Villanova University Award June2010
 
Occhio cases 02
Occhio cases 02Occhio cases 02
Occhio cases 02
 
Communiqué de presse AppSec Forum 2011
Communiqué de presse AppSec Forum 2011Communiqué de presse AppSec Forum 2011
Communiqué de presse AppSec Forum 2011
 
AFP-Walther-offshore-subsea-fluid-connector-technologies
AFP-Walther-offshore-subsea-fluid-connector-technologiesAFP-Walther-offshore-subsea-fluid-connector-technologies
AFP-Walther-offshore-subsea-fluid-connector-technologies
 
Hospital regional rio gallegos mauricio
Hospital regional rio gallegos  mauricioHospital regional rio gallegos  mauricio
Hospital regional rio gallegos mauricio
 
RPOHIRE
RPOHIRERPOHIRE
RPOHIRE
 
Le marché média en Allemagne - 2012 / Media Market Germany 2012
Le marché média en Allemagne - 2012 / Media Market Germany 2012Le marché média en Allemagne - 2012 / Media Market Germany 2012
Le marché média en Allemagne - 2012 / Media Market Germany 2012
 
Taller De Vida Familiar
Taller De Vida FamiliarTaller De Vida Familiar
Taller De Vida Familiar
 
Memoria 2006
Memoria 2006Memoria 2006
Memoria 2006
 
Facebook:Guia para Profesores
Facebook:Guia para Profesores Facebook:Guia para Profesores
Facebook:Guia para Profesores
 
Cong ngh-truy-nhp-trong-mng-ngn
Cong ngh-truy-nhp-trong-mng-ngnCong ngh-truy-nhp-trong-mng-ngn
Cong ngh-truy-nhp-trong-mng-ngn
 
Património cultural Museu Ibérico da Máscara e do Traje e Museu Abade de Baç...
Património cultural  Museu Ibérico da Máscara e do Traje e Museu Abade de Baç...Património cultural  Museu Ibérico da Máscara e do Traje e Museu Abade de Baç...
Património cultural Museu Ibérico da Máscara e do Traje e Museu Abade de Baç...
 
8 things to check before you send that
8 things to check before you send that8 things to check before you send that
8 things to check before you send that
 
Tutorial sobre el Comunio
Tutorial sobre el ComunioTutorial sobre el Comunio
Tutorial sobre el Comunio
 

Similar a Matrix Partners Northzone Pacific Crest SaaS Survey 2015

2014 SaaS Metrics Report
2014 SaaS Metrics Report2014 SaaS Metrics Report
2014 SaaS Metrics ReportTotango
 
Edison Partners 2018 Growth Index
Edison Partners 2018 Growth IndexEdison Partners 2018 Growth Index
Edison Partners 2018 Growth IndexKelly Ford Buckley
 
2016 SaaS Metrics Report
2016 SaaS Metrics Report2016 SaaS Metrics Report
2016 SaaS Metrics ReportTotango
 
3 Findings that Can Get Your Customer Revenue Back on the Path to Growth [Inf...
3 Findings that Can Get Your Customer Revenue Back on the Path to Growth [Inf...3 Findings that Can Get Your Customer Revenue Back on the Path to Growth [Inf...
3 Findings that Can Get Your Customer Revenue Back on the Path to Growth [Inf...ServiceSource
 
SEVEN STEPS TO CUSTOMER SUCCESS AT SCALE
SEVEN STEPS TO CUSTOMER SUCCESS AT SCALESEVEN STEPS TO CUSTOMER SUCCESS AT SCALE
SEVEN STEPS TO CUSTOMER SUCCESS AT SCALETotango
 
Hampshire First Bank Business First Survey
Hampshire First Bank Business First SurveyHampshire First Bank Business First Survey
Hampshire First Bank Business First SurveyHampshireFirstBank
 
Rapport sur le Sales Development (SDR/BDR) 2021
Rapport sur le Sales Development (SDR/BDR) 2021Rapport sur le Sales Development (SDR/BDR) 2021
Rapport sur le Sales Development (SDR/BDR) 2021Elric Legloire
 
SaaS Sales Compensation Survey 2020
SaaS Sales Compensation Survey 2020SaaS Sales Compensation Survey 2020
SaaS Sales Compensation Survey 2020Viola Group
 
WebSummit 2018 - The SaaS Business Model & Metrics
WebSummit 2018 - The SaaS Business Model & MetricsWebSummit 2018 - The SaaS Business Model & Metrics
WebSummit 2018 - The SaaS Business Model & MetricsDavid Skok
 
The CMO Survey - Highlights and Insights Report - Feb 2020
The CMO Survey - Highlights and Insights Report - Feb 2020The CMO Survey - Highlights and Insights Report - Feb 2020
The CMO Survey - Highlights and Insights Report - Feb 2020christinemoorman
 
2015 SaaS Industry Survey Results for Marketers
2015 SaaS Industry Survey Results for Marketers2015 SaaS Industry Survey Results for Marketers
2015 SaaS Industry Survey Results for MarketersMatthew Howard
 
Winning in the SaaS Economy
Winning in the SaaS EconomyWinning in the SaaS Economy
Winning in the SaaS EconomySaaStock
 
ND MEP Market Analysis
ND MEP Market AnalysisND MEP Market Analysis
ND MEP Market AnalysisRandy Schwartz
 
Sales Compensation in SaaS Companies Annual Survey 2018
Sales Compensation in SaaS Companies Annual Survey 2018Sales Compensation in SaaS Companies Annual Survey 2018
Sales Compensation in SaaS Companies Annual Survey 2018Viola Group
 
McKinsey Survey: UK B2B decision maker response to COVID-19 crisis
McKinsey Survey: UK B2B decision maker response to COVID-19 crisisMcKinsey Survey: UK B2B decision maker response to COVID-19 crisis
McKinsey Survey: UK B2B decision maker response to COVID-19 crisisMcKinsey on Marketing & Sales
 
McKinsey Survey: UK B2B decision maker response to COVID-19 crisis
McKinsey Survey: UK B2B decision maker response to COVID-19 crisisMcKinsey Survey: UK B2B decision maker response to COVID-19 crisis
McKinsey Survey: UK B2B decision maker response to COVID-19 crisisMcKinsey on Marketing & Sales
 
McKinsey Survey: British B2B decision maker response to COVID-19 crisis
McKinsey Survey: British B2B decision maker response to COVID-19 crisisMcKinsey Survey: British B2B decision maker response to COVID-19 crisis
McKinsey Survey: British B2B decision maker response to COVID-19 crisisMcKinsey on Marketing & Sales
 

Similar a Matrix Partners Northzone Pacific Crest SaaS Survey 2015 (20)

2014 SaaS Metrics Report
2014 SaaS Metrics Report2014 SaaS Metrics Report
2014 SaaS Metrics Report
 
Edison Partners 2018 Growth Index
Edison Partners 2018 Growth IndexEdison Partners 2018 Growth Index
Edison Partners 2018 Growth Index
 
2016 SaaS Metrics Report
2016 SaaS Metrics Report2016 SaaS Metrics Report
2016 SaaS Metrics Report
 
2013 CEO Compensation Study
2013 CEO Compensation Study2013 CEO Compensation Study
2013 CEO Compensation Study
 
3 Findings that Can Get Your Customer Revenue Back on the Path to Growth [Inf...
3 Findings that Can Get Your Customer Revenue Back on the Path to Growth [Inf...3 Findings that Can Get Your Customer Revenue Back on the Path to Growth [Inf...
3 Findings that Can Get Your Customer Revenue Back on the Path to Growth [Inf...
 
SEVEN STEPS TO CUSTOMER SUCCESS AT SCALE
SEVEN STEPS TO CUSTOMER SUCCESS AT SCALESEVEN STEPS TO CUSTOMER SUCCESS AT SCALE
SEVEN STEPS TO CUSTOMER SUCCESS AT SCALE
 
Hampshire First Bank Business First Survey
Hampshire First Bank Business First SurveyHampshire First Bank Business First Survey
Hampshire First Bank Business First Survey
 
Managing Your Data to Improve Results - Scott Upfield & George Robertson
Managing Your Data to Improve Results - Scott Upfield & George RobertsonManaging Your Data to Improve Results - Scott Upfield & George Robertson
Managing Your Data to Improve Results - Scott Upfield & George Robertson
 
Rapport sur le Sales Development (SDR/BDR) 2021
Rapport sur le Sales Development (SDR/BDR) 2021Rapport sur le Sales Development (SDR/BDR) 2021
Rapport sur le Sales Development (SDR/BDR) 2021
 
SaaS Sales Compensation Survey 2020
SaaS Sales Compensation Survey 2020SaaS Sales Compensation Survey 2020
SaaS Sales Compensation Survey 2020
 
WebSummit 2018 - The SaaS Business Model & Metrics
WebSummit 2018 - The SaaS Business Model & MetricsWebSummit 2018 - The SaaS Business Model & Metrics
WebSummit 2018 - The SaaS Business Model & Metrics
 
The CMO Survey - Highlights and Insights Report - Feb 2020
The CMO Survey - Highlights and Insights Report - Feb 2020The CMO Survey - Highlights and Insights Report - Feb 2020
The CMO Survey - Highlights and Insights Report - Feb 2020
 
2015 SaaS Industry Survey Results for Marketers
2015 SaaS Industry Survey Results for Marketers2015 SaaS Industry Survey Results for Marketers
2015 SaaS Industry Survey Results for Marketers
 
Winning in the SaaS Economy
Winning in the SaaS EconomyWinning in the SaaS Economy
Winning in the SaaS Economy
 
ND MEP Market Analysis
ND MEP Market AnalysisND MEP Market Analysis
ND MEP Market Analysis
 
Sales Compensation in SaaS Companies Annual Survey 2018
Sales Compensation in SaaS Companies Annual Survey 2018Sales Compensation in SaaS Companies Annual Survey 2018
Sales Compensation in SaaS Companies Annual Survey 2018
 
McKinsey Survey: UK B2B decision maker response to COVID-19 crisis
McKinsey Survey: UK B2B decision maker response to COVID-19 crisisMcKinsey Survey: UK B2B decision maker response to COVID-19 crisis
McKinsey Survey: UK B2B decision maker response to COVID-19 crisis
 
McKinsey Survey: UK B2B decision maker response to COVID-19 crisis
McKinsey Survey: UK B2B decision maker response to COVID-19 crisisMcKinsey Survey: UK B2B decision maker response to COVID-19 crisis
McKinsey Survey: UK B2B decision maker response to COVID-19 crisis
 
McKinsey Survey: British B2B decision maker response to COVID-19 crisis
McKinsey Survey: British B2B decision maker response to COVID-19 crisisMcKinsey Survey: British B2B decision maker response to COVID-19 crisis
McKinsey Survey: British B2B decision maker response to COVID-19 crisis
 
Revenue Diversification at The Dallas Morning News: Roundtable 2014 Jim Mor...
Revenue Diversification at The Dallas Morning News: Roundtable 2014   Jim Mor...Revenue Diversification at The Dallas Morning News: Roundtable 2014   Jim Mor...
Revenue Diversification at The Dallas Morning News: Roundtable 2014 Jim Mor...
 

Más de Business of Software Conference

BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your JobBoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your JobBusiness of Software Conference
 
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...Business of Software Conference
 
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & EngineeringBoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & EngineeringBusiness of Software Conference
 
BoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
BoSON23 | Tim Wilkinson | Making First Hire Product Managers WorkBoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
BoSON23 | Tim Wilkinson | Making First Hire Product Managers WorkBusiness of Software Conference
 
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing EngineBoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing EngineBusiness of Software Conference
 
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote CompaniesBoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote CompaniesBusiness of Software Conference
 
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the WorldBoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the WorldBusiness of Software Conference
 
BoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
BoSEU24 | Imogen Wethered | How to Sell a Business in a DecadeBoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
BoSEU24 | Imogen Wethered | How to Sell a Business in a DecadeBusiness of Software Conference
 
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the DyingBoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the DyingBusiness of Software Conference
 
BoSEU24 | Claire Suellentrop | How to Operationalise JTBD
BoSEU24 | Claire Suellentrop | How to Operationalise JTBDBoSEU24 | Claire Suellentrop | How to Operationalise JTBD
BoSEU24 | Claire Suellentrop | How to Operationalise JTBDBusiness of Software Conference
 
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem ShootingBoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem ShootingBusiness of Software Conference
 
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdfBoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdfBusiness of Software Conference
 

Más de Business of Software Conference (20)

BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your JobBoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
 
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
 
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & EngineeringBoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
 
BoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
BoSON23 | Tim Wilkinson | Making First Hire Product Managers WorkBoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
BoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
 
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing EngineBoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
 
BoSON23 | Mark Gibson | Better B2B Sales
BoSON23 | Mark Gibson | Better B2B SalesBoSON23 | Mark Gibson | Better B2B Sales
BoSON23 | Mark Gibson | Better B2B Sales
 
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote CompaniesBoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
 
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the WorldBoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
 
BoSEU24 | Ninnu Campbell | How to Make People Fail
BoSEU24 | Ninnu Campbell | How to Make People FailBoSEU24 | Ninnu Campbell | How to Make People Fail
BoSEU24 | Ninnu Campbell | How to Make People Fail
 
BoSEU24 | Joe Leech | Seven Traits of the Modern CEO
BoSEU24 | Joe Leech | Seven Traits of the Modern CEOBoSEU24 | Joe Leech | Seven Traits of the Modern CEO
BoSEU24 | Joe Leech | Seven Traits of the Modern CEO
 
BoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
BoSEU24 | Imogen Wethered | How to Sell a Business in a DecadeBoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
BoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
 
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the DyingBoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
 
BoSEU24 | Claire Suellentrop | How to Operationalise JTBD
BoSEU24 | Claire Suellentrop | How to Operationalise JTBDBoSEU24 | Claire Suellentrop | How to Operationalise JTBD
BoSEU24 | Claire Suellentrop | How to Operationalise JTBD
 
BoSEU24 | Bruce McCarthy | Aligning Executive Teams
BoSEU24 | Bruce McCarthy | Aligning Executive TeamsBoSEU24 | Bruce McCarthy | Aligning Executive Teams
BoSEU24 | Bruce McCarthy | Aligning Executive Teams
 
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem ShootingBoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
 
BoSEU24 | Bill Thompson | Talk From Another Century
BoSEU24 | Bill Thompson | Talk From Another CenturyBoSEU24 | Bill Thompson | Talk From Another Century
BoSEU24 | Bill Thompson | Talk From Another Century
 
BoSUSA22 | Mikey Trafton | Finding Your Super Powers
BoSUSA22 | Mikey Trafton | Finding Your Super PowersBoSUSA22 | Mikey Trafton | Finding Your Super Powers
BoSUSA22 | Mikey Trafton | Finding Your Super Powers
 
BoSON22 | Tony Ulwick | The ‘JTBD Needs’ Framework
BoSON22 | Tony Ulwick | The ‘JTBD Needs’ FrameworkBoSON22 | Tony Ulwick | The ‘JTBD Needs’ Framework
BoSON22 | Tony Ulwick | The ‘JTBD Needs’ Framework
 
BoSON22 | Rita McGrath | Discovery Driven Planning
BoSON22 | Rita McGrath | Discovery Driven PlanningBoSON22 | Rita McGrath | Discovery Driven Planning
BoSON22 | Rita McGrath | Discovery Driven Planning
 
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdfBoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
 

Último

How To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected WorkerHow To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected WorkerThousandEyes
 
DNT_Corporate presentation know about us
DNT_Corporate presentation know about usDNT_Corporate presentation know about us
DNT_Corporate presentation know about usDynamic Netsoft
 
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AISyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AIABDERRAOUF MEHENNI
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comFatema Valibhai
 
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...gurkirankumar98700
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Modelsaagamshah0812
 
Professional Resume Template for Software Developers
Professional Resume Template for Software DevelopersProfessional Resume Template for Software Developers
Professional Resume Template for Software DevelopersVinodh Ram
 
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️anilsa9823
 
Salesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantSalesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantAxelRicardoTrocheRiq
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsJhone kinadey
 
TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providermohitmore19
 
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdfThe Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdfkalichargn70th171
 
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...soniya singh
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsAlberto González Trastoy
 
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfLearn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfkalichargn70th171
 
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...stazi3110
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionSolGuruz
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVshikhaohhpro
 

Último (20)

Exploring iOS App Development: Simplifying the Process
Exploring iOS App Development: Simplifying the ProcessExploring iOS App Development: Simplifying the Process
Exploring iOS App Development: Simplifying the Process
 
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected WorkerHow To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
 
DNT_Corporate presentation know about us
DNT_Corporate presentation know about usDNT_Corporate presentation know about us
DNT_Corporate presentation know about us
 
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AISyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
SyndBuddy AI 2k Review 2024: Revolutionizing Content Syndication with AI
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.com
 
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
(Genuine) Escort Service Lucknow | Starting ₹,5K To @25k with A/C 🧑🏽‍❤️‍🧑🏻 89...
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Models
 
Professional Resume Template for Software Developers
Professional Resume Template for Software DevelopersProfessional Resume Template for Software Developers
Professional Resume Template for Software Developers
 
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online  ☂️
CALL ON ➥8923113531 🔝Call Girls Kakori Lucknow best sexual service Online ☂️
 
Salesforce Certified Field Service Consultant
Salesforce Certified Field Service ConsultantSalesforce Certified Field Service Consultant
Salesforce Certified Field Service Consultant
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial Goals
 
TECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service providerTECUNIQUE: Success Stories: IT Service provider
TECUNIQUE: Success Stories: IT Service provider
 
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdfThe Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
 
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
Russian Call Girls in Karol Bagh Aasnvi ➡️ 8264348440 💋📞 Independent Escort S...
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
 
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS LiveVip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
 
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdfLearn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
Learn the Fundamentals of XCUITest Framework_ A Beginner's Guide.pdf
 
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with Precision
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTV
 

Matrix Partners Northzone Pacific Crest SaaS Survey 2015

  • 1. 1 2015 Pacific Crest Private SaaS Company Survey Results October 16, 2015
  • 2. 2 Pacific Crest 2015 Private SaaS Company Survey: Summary of Results  This report provides an analysis of the results of a survey of private SaaS companies which Pacific Crest’s software investment banking team conducted in June-July 2015 – Represents the sixth such survey Pacific Crest has completed – The survey results include responses from senior executives of 305 companies. Special thanks to our partners at Matrix Partners, who helped solicit participants through the forEntrepeneurs blog  Broad diversity of SaaS companies participated. Representative statistics on the participant pool: – $4MM median revenues, with 133 companies >$5MM and 57 >$25MM – 47 median full-time employees (range of 2 to 1,200) – Median customer count of approximately 300; 28% of respondents have >1,000 customers – 70% of participants headquartered in the U.S. – $21K median annual contract value (ACV), with 21% of participants below $5K and 17% above $100K. Good mix of field sales (41% use as predominant mode), inside sales (21%), as well as Internet, channel, and mixed modes Our goal is to provide useful operational and financial benchmarking data to executives and investors in SaaS companies
  • 3. 3 Survey Participant Geography (HQ) U.S. Regions Northern California – Silicon Valley 48 Southern California 14 Boston / New England 35 Pacific Northwest 13 New York Metropolitan Area 19 Washington DC 11 Southeast U.S. 26 Midwest / Chicago 23 Colorado / Utah 6 Texas 10 Other U.S. 6 TOTAL U.S. : 211 Other Locations Canada 19 Europe 40 Middle East / Africa 3 Latin America 6 Australia / New Zealand 13 Asia 13 TOTAL Non-U.S. : 94 13 13 6 211 40 3 19 305 respondents Comparison with Previous Surveys 31% international, up from 21% last year.
  • 4. 4 62 40 28 30 24 19 26 25 26 22 0 10 20 30 40 50 60 70 <15 15-25 25-35 35-50 50-75 75-100 100-150 150-250 250-500 500+ NumberofCompanies Full-Time Equivalent Employees 74 59 35 32 18 26 17 14 12 12 0 10 20 30 40 50 60 70 80 <$750k $750k- $2.5MM $2.5MM- $5MM $5MM- $10MM $10MM- $15MM $15MM- $25MM $25MM- $40MM $40MM- $60MM $60MM- $100MM Greater than $100MM NumberofCompanies 2014 Revenue Survey Participant Size Distribution 299 and 302 respondents, respectively Median ≈ $4MM Median ≈ 47 Revenue FTEs
  • 5. 5 Less than $100k $125k $125k $129k $164k $143k $143k $188k $230k $0k $50k $100k $150k $200k $250k <$2.5MM $2.5MM- $5MM $5MM- $10MM $10MM- $15MM $15MM- $25MM $25MM- $40MM $40MM- $60MM $60MM- $100MM Greater than $100MM Median2014GAAPRevenueperFTE Sized Company (2014 Revenue) Revenue per FTE Efficiency Respondents: <$750k: 74; $750k-$2.5MM: 59; $2.5MM-$5MM: 35; $5MM-$10MM: 32; $10MM-$15MM: 17; $15MM-$25MM: 26; $25MM-$40MM: 17; $40MM-$60MM: 13; $60MM-$100MM: 12; >$100MM: 12 Median ≈ $112K (Excl. <$2.5MM) Median ≈ $142K
  • 7. 7 2 17 44 45 32 18 13 30 23 69 3 10 35 48 36 20 23 23 19 72 0 10 20 30 40 50 60 70 80 <0% 0%-10% 10%-20% 20%-30% 30%-40% 40%-50% 50%-60% 60%-80% 80%-100% >100% NumberofCompanies 2014 GAAP Revenue Growth 2015E GAAP Revenue Growth How Fast Did / Will You Grow GAAP Revenues? 293 and 289 respondents, respectively Median 2014 GAAP Rev Growth ≈ 44% Median 2015E GAAP Rev Growth ≈ 46% Comparison with Previous Surveys These results are markedly up from medians of 37% and 42% growth for 2013 and 2014E, respectively, reported in last year’s survey, and closer to the 2013 survey results (41% and 47% for 2012 and 2013E growth, respectively). The median revenue growth achieved by survey respondents in 2014 was 44%, while the median projected growth for 2015 is 46%.
  • 8. 8 0 10 27 34 23 12 10 24 8 21 1 7 23 36 28 12 17 14 9 19 0 5 10 15 20 25 30 35 40 <0% 0%-10% 10%-20% 20%-30% 30%-40% 40%-50% 50%-60% 60%-80% 80%-100% >100% NumberofCompanies 2014 GAAP Revenue Growth 2015E GAAP Revenue Growth How Fast Did / Will You Grow GAAP Revenues? (Excluding Companies <$2.5MM in Revenue) 169 and 166 respondents, respectively Median 2014 GAAP Rev Growth ≈ 36% Median 2015E GAAP Rev Growth ≈ 36% As expected, many of the fastest growers are among the smallest companies. Eliminating them brings median growth rates down approximately 10% points.
  • 9. 9 43% 70% 36% 29% 31% 36% 35% 31% 0% 10% 20% 30% 40% 50% 60% 70% 80% $2.5MM- $5MM $5MM- $7.5MM $7.5MM- $10MM $10MM- $15MM $15MM- $25MM $25MM- $40MM $40MM- $75MM >$75MM 2014RevenueGrowthRate 2014 GAAP Revenue Median Growth Rate as a Function of Size of Company (Excluding Companies <$2.5MM in Revenue) Respondents: $2.5MM-$5MM: 35, $5MM-$7.5MM: 18, $7.5MM-$10MM: 14, $10MM-$15MM: 17, $15MM-25MM: 26, $25MM- $40MM: 18, $40MM-$75MM: 19, >$75MM: 20 Median ≈ 36% The results indicate that companies in the $5-$7.5MM range are among the fastest growers – with the median much greater than the median of companies half their size. Comparison with Previous Surveys We saw a similar phenomenon of a bump- up last year for companies at this size, although our data was not as finely segregated (the bump-up group was $5-$10MM).
  • 10. 10 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% $2.5MM - $5MM $5MM- $7.5MM $7.5MM- $10MM $10MM- $15MM $15MM- $25MM $25MM- $40MM $40MM- $75MM >$75MM 2014RevenueGrowthRate 2014 GAAP Revenue Median Growth Rate as a Function of Size of Company – Middle Third Group (Excluding Companies <$2.5MM in Revenue) 87% 84% 38% 38% 52% 43% 27% 61% 23% 24% 26% 21% Highlighted range represents the 33rd-67th percentile of data Respondents: $2.5MM-$5MM: 35, $5MM-$7.5MM: 18, $7.5MM-$10MM: 14, $10MM-$15MM: 17, $15MM-25MM: 26, $25MM- $40MM: 18, $40MM-$75MM: 19, >$75MM: 20 Median ≈ 36% Looking at the middle third of respondents in each size group suggests that the $2.5-$5MM companies are also among the fastest growers. 73% 23% 46% 27%
  • 11. 11 33% 36% 33% 33% 38% 62% 37% 0% 10% 20% 30% 40% 50% 60% 70% <$5K $5K-$15K $15K-$25K $25K-$50K $50K-$100K $100K-$250K >$250K 2014RevenueGrowth Median Contract Size (ACV)(1) Median Growth Rate as a Function of Contract Size (Excluding Companies <$2.5MM in Revenue) (1): Annual Contract Value (ACV) is defined as annualized monthly run rate in recurring SaaS revenues, excluding professional services, perpetual licenses and related maintenance (2): Discrepancy from 35% median on slide 7; smaller set of respondents who answered both questions Respondents: <$5K: 20, $5K-$25K: 24, $25K-$100K: 44, $100K-$250K: 14, >$250K: 16 Median ≈ 36%(2) There appears to be no relationship between median contract size and growth other than a bump-up for the $100K- $250K group (though this could be skewed by sparse data in that group). Comparison with Previous Surveys Last year, the bump-up occurred for companies in the ranges encompassing $5K-$100K ACV.
  • 12. 12 31% 37% 23% 65% 43% 0% 10% 20% 30% 40% 50% 60% 70% Field sales Inside sales Internet sales Channel Sales (VARs, OEMs, etc) Mixed 2014GrowthRate Primary Mode of Distribution(1) Median Growth Rate as a Function of Sales Strategy (Excluding Companies <$2.5MM in Revenue) (1): Primary Mode of Distribution – At least 50% of new ACV bookings from new customers in 2015E come from designated distribution channel; “Mixed” defined as respondents who didn’t select at least 50% for any designated distribution channel Respondents: Field: 66, Inside:35, Internet: 8, Channel: 8, Mixed: 46 Median ≈ 35% We found that median growth among field sales dominated companies slightly lagged inside sales dominated companies (by 6% points), but led internet sales by 8% points. Channel sales dominated companies grew significantly faster, though the data is sparse. Mixed also performed well. Comparison with Previous Surveys Field sales lagged inside sales by a greater amount this year (6% in 2015 vs. an insignificant 2% difference in 2014).
  • 13. 13 63% 43% 38% 57% 28% 33% 33% 48% 0% 10% 20% 30% 40% 50% 60% 70% VSB SMB Enterprise Mixed 2014GrowthRate All Companies Excluding Companies <$2.5MM in Revenue Median Growth Rate as a Function of Target Customer(1) (1): Target Customer – At least 50% of revenues come from designated customer base; “Mixed” defined as respondents who didn’t select at least 50% for any designated customer base VSB customers defined as <20 employees, SMB as ~100-1,000 employees, and enterprise as >1,000 Respondents: VSB: 18 and 7, SMB: 67 and 36, Enterprise: 97 and 68, Mixed: 105 and 53, respondents, respectively Median Revenue Growth ≈ 44% Median Revenue Growth (excl. <$2.5MM Revenue) ≈ 36% Companies with mixed/balanced target customer strategies are growing the fastest. Otherwise, at least for companies >$2.5MM in revenues, there aren’t significant differences. Comparison with Previous Surveys A big change for the “mixed” group. Last year’s survey showed no advantage for mixed / balanced target customer companies.
  • 15. 15 Primary Mode of Distribution Primary Mode of Distribution – At least 50% of new ACV bookings from new customers in 2015E come from designated distribution channel; “Mixed” defined as respondents who didn’t select at least 50% for any designated distribution channel 292 and 163 respondents, respectively Comparison with Previous Surveys Results were very similar to last year, with a slight shift away from inside sales strategies towards mixed distribution models. All Companies Excluding Companies <$2.5MM in Revenue Field sales remains the most popular way to sell, with 41% of participants employing it as their primary mode of distribution (32% if we exclude companies with <$2.5MM in revenues). Field Sales 32% Inside Sales 22% Internet Sales 10% Channel 6% Mixed 30% Field Sales 41% Inside Sales 21% Internet Sales 5% Channel 5% Mixed 28%
  • 16. 16 8% 11% 13% 17% 45% 52% 77% 62% 15% 27% 45% 34% 24% 7% 46% 19% 10% 3% 3% 4% 8% 8% 10% 3% 5% 5% 8% 23% 35% 23% 41% 24% 37% 18% 31% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% <$1k $1k-$5k $5k-$15k $15k-$25k $25k-$50k $50k-$100k $100k-$250k >$250k Median Contract Size (ACV) Field Inside Internet Channel Mixed Primary Mode of Distribution as a Function of Median Initial Contract Size Note: Initial ACV of a contract 2015 Respondents: <$1K: 13, $1K-$5K: 37, $5K-$15K: 40, $15K-$25K: 29, $25K-$50K: 38, $50K-$100K: 27, $100K-$250K: 22, >$250K: 13 Comparison with Previous Surveys Results are very similar to last year, except for companies with median ACVs over $250K, where in this year’s results, we see noticeably more companies using inside sales. Analyzed by contract value, field sales dominates for companies with median deals over $50K and more or less disappears when median deal sizes are below $15K. There’s meaningful bifurcation among the $15K- $25K and $25K- $50K groups.
  • 17. 17 $15K-$50K Median Contract Size Field-Dominated Inside-Dominated Revenue $20MM $11MM Growth Rate 28% 29% Revenue per FTE $117K $131K Annual Gross Dollar Churn(1) 7% 12% Net Dollar Retention Rate(1) 106% 115% CAC(1) $1.09 $1.04 S&M % of Revenue 41% 41% Distribution Strategy – Analysis of Field vs. Inside Sales in Key Crossover Deal Size Tiers (Excluding Companies <$2.5MM in Revenue) (1) See definitions described later in this presentation Respondents: Field-Dominated: 11; Inside-Dominated: 9 Among companies selling $15K-$50K ACV, we compared those favoring field vs. inside and found: (1) larger companies tended to favor field; (2) inside sales driven companies had slightly higher efficiency, as reflected in $/FTE, however CAC, S&M expense ratios and growth were virtually identical; and (3) gross churn was higher for inside, but net dollar retention was also higher, suggesting more success with “land-and-expand”.
  • 18. 18 6 15 19 14 23 24 17 15 9 0 5 10 15 20 25 30 Less than $0.25 $0.25-$0.50 $0.50-$0.75 $0.75-$1.00 $1.00-$1.25 $1.25-$1.50 $1.50-$2.00 $2.00-$3.00 Over $3.00 CAC(1): How Much Do You Spend for $1 of New ACV from a New Customer? (Excluding Companies <$2.5MM in Revenues) “How much do you spend on a fully-loaded sales & marketing cost basis to acquire $1 of new ACV from a new customer?” Median ≈ $1.18 (1): Includes the fully-loaded amount spent on sales & marketing for the win, over multiple periods, if necessary. 142 respondents Respondents (excluding the smallest companies) spent a median of $1.18 to acquire each dollar of new ACV from a new customer. The result drops to $1.06 if we include companies with <$2.5MM in revenues. Comparison with Previous Surveys The median result is notably higher than the $1.07 and $0.92 reported in the 2014 and 2013 surveys, respectively.
  • 19. 19 $0.68 $0.11 $0.07 $0.55 $0.33 $1.18 $0.28 $0.13 $0.00 $0.25 $0.50 $0.75 $1.00 $1.25 $1.50 New ACV from New Customer Upsell to Existing Customer Renewals CAC on New Customers vs. Upsells vs. Renewals (Excluding Companies <$2.5MM in Revenues) Respondents: New ACV from New Customer: 142, Upsell to Existing Customer: 102, Renewals: 97 The median CAC per $1 of upsells is $0.28, or about 24% of CAC to acquire each new customer dollar. The CAC for renewals is $0.13, or 11% of the CAC to acquire each new customer dollar. Comparison with Previous Surveys The cost of upsells ($.28) has increased from the $.18 reported in 2014, while the cost of renewals remains almost identical. 25th percentile 75th percentile Median
  • 20. 20 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Field Sales Inside Sales Channel Internet Sales <$0.25 $0.25 - $0.50 $0.50 - $0.75 $0.75 - $1.00 $1.00 - $1.25 $1.25 - $1.50 $1.50 - $2.00 $2.00 - 3.00 >$3.00 CAC Spend by Primary Mode of Distribution Respondents: Field sales: 63, Inside sales: 56, Channel sales: 12, Internet sales: 20 (includes Companies <$2.5MM in revenue) Comparison with Previous Surveys All modes have shown increases except Internet, which is down from $0.54 to $0.42. As expected, field sales has the most expensive CAC at $1.14, followed by inside sales at $0.90. Channel and online distribution have significantly lower CACs at $0.66 and $0.42, respectively. Median ≈ $0.66 Median ≈ $0.42Median ≈ $1.14 Median ≈ $0.90
  • 21. 21 75% 62% 35% 25% 38% 65% Field Sales Inside Sales Internet Sales 69% 31% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Overall %ofCACSales&MarketingSpend CAC Composition: Sales vs. Marketing Cost % of CAC Overall, the median company devotes 31% of their CAC to Marketing expenses, with the remaining 69% allocated to Sales. However, Inside Sales- and Internet Sales- driven companies have a much greater reliance on Marketing, with 38% and 65% of their CAC budgets devoted to Marketing, respectively. Respondents: 290; Field Sales: 93; Inside Sales: 64; Internet Sales: 28 Note: Overall group also includes Channel Sales and Mixed Strategy dominated companies not shown on graph 75% 62% 35% 25% 38% 65% Field sales Inside sales Internet sales Sales Marketing
  • 22. 22 20 39 26 23 16 43 24 10 19 8 6 16 9 7 5 0 5 10 15 20 25 30 35 40 45 50 <3 mos. 3-5 mos. Approx. 6 mos. 7-9 mos. 9-11 mos. Approx. 1 year 13-15 mos. 15-17 mos. Approx. 18 mos. 19-21 mos. 21-23 mos. Approx. 2 years 2.0 - 2.5 years 2.5-3.0 years >3 years #ofRespondents CAC Payback Period CAC Payback Period (Gross Margin Basis) 271 respondents For the first time we asked about CAC payback period (defined as # of months of subscription gross profit it takes to recover the fully loaded cost of acquiring the customer). Respondents reported a median CAC payback of ~12 months, though we note a wide distribution of responses. Median ≈ 12 months
  • 23. 23 Median CAC Payback Period by Primary Mode of Distribution Respondents: All Companies: Field sales: 84, Inside sales: 61, Channel sales: 15, Internet sales: 24, Mixed: 83 (includes Companies <$2.5MM in revenue) Respondents (>$2.5MM Revenue): Field sales: 60, Inside sales: 33, Internet sales: 7, Channel sales: 7, Mixed: 44 13.4 12.0 7.3 8.0 12.0 14.5 12.0 10.0 14.0 12.0 0 2 4 6 8 10 12 14 16 Field sales Inside sales Internet sales Channel Mixed CACPaybackPeriod(months) Distribution Type All Companies Excluding Companies <$2.5MM in Revenue Field Sales- dominated companies have 20% longer CAC payback periods than those primarily using Inside Sales, which in turn have approximately 20% longer CAC payback periods than those relying primarily on Internet Sales.
  • 24. 24 11% 15% 14% 17% 21% 16% 32% 28% 0% 5% 10% 15% 20% 25% 30% 35% <$1.25M $1.25MM - $2.5MM $2.5MM - $5MM $5MM - $15MM $15MM - $25MM $25MM - $40MM $40MM - $75MM >$75MM %NewACVfromUpsells 2014 GAAP Revenue What Percentage of New ACV is from Upsells to Existing Customers? Respondents: <$1.25MM: 71, $1.25MM-$2.5MM: 19, $2.5MM-$5MM: 23, $5MM-$15MM: 35, $15MM-25MM: 22, $25MM-$40M: 15, $40MM-$75M: 17, >75MM: 15 Median ≈ 16% Comparison with Previous Surveys Largely consistent with prior years’ results. The median respondent gets 16% of new ACV sales from upsells; larger companies rely more heavily on upsells.
  • 25. 25 9% 8% 18% 15% 16% 13% 27% 13% 18% 17% 23% 23% 25% 37% 0% 5% 10% 15% 20% 25% 30% 35% 40% <$2.5MM $2.5MM to $5MM $5MM to $10MM $10MM to $15MM $15MM to $25MM $25MM to $40MM >$40MM %NewACVfromUpsells 2014 GAAP Revenue Bottom 50% Growers Top 50% Growers Are the Fastest Growing Companies Relying More on Upsells?… Yes Median ≈ 16% Almost across the board, the fastest growers tended to have noticeably more reliance on upsells. Respondents: <$2.5MM: 86, $2.5MM-$5MM: 23, $5MM-$10MM: 23, $10MM-$15MM: 12, $15MM-25MM: 22 $25MM-$40M: 15, >$40MM: 32 Comparison with Previous Surveys 2014 showed a similar result for companies above $10MM but not below. Now the fastest growing smaller companies are also focusing on upsells. What Percentage of New ACV is from Upsells to Existing Customers?
  • 26. 26 7 5 7 3 16 15 10 16 8 7 16 18 0 10 20 < (25%) (15%)-(25%) (5%)-(15%) (1%)-(5%) 0% 0-10% 10-20% 20-25% 25-30% 30-40% 40-50% >50% 45 35 21 12 5 5 1 2 0 10 20 30 40 50 0-10% 10-25% 25-50% 50-75% 75-100% 100-150% 150-200% >200% Professional Services Impact on Go-to-Market (Excluding Companies <$2.5MM in Revenue) 126 and 128 respondents, respectively Professional Services (as % of 1st year ACV) Professional Services Margin Median ≈ 20% Professional services play a minor role for most, with the median company booking P.S. revenues on new deals equivalent to 18% of first year subscription contract value. Median P.S. margins are approx. 20%. Comparison with Previous Surveys Median attach rates are up, from 13% in the 2014 survey to 18% this year. Margins are unchanged. Median ≈ 18%
  • 27. 27 26% 18% 18% 11% 0% 5% 10% 15% 20% 25% 30% Enterprise SMB VSB Mixed ProfessionalServices%of1stYearACV Target Customer Professional Services (% of 1st Year ACV) as a Function of Target Customer (Excluding Companies <$2.5MM in Revenue) Median ≈ 18% Respondents: Enterprise: 52, SMB: 27, VSB: 3, Mixed: 40 As expected, companies which are focused mainly on enterprise sales have higher levels of professional services. Comparison with Previous Surveys Attach rates ticked up significantly across the board (2014 survey: Enterprise 18%, SMB 8%, VSB 6%, Mixed 9%).
  • 28. 28 15 5 11 16 18 29 39 42 29 32 0 5 10 15 20 25 30 35 40 45 <50% 50-55% 55-60% 60-65% 65-70% 70-75% 75-80% 80-85% 85-90% >90% Subscription Gross Margins “What is your gross profit margin on just subscription/SaaS revenues?” 236 respondents Median subscription gross margins are 78% (nearly identical when removing the smallest companies from the group). Median ≈ 78% >90% <50% Comparison with Previous Surveys Virtually unchanged from the 2014, 2013 and 2012 results.
  • 29. 29 None 0-10% 10-25% > 25% 73% 13% 5% 9% None 0-10% 10-50% > 50% Freemium / “Try Before You Buy” “Freemium” Expected New ACV in 2014 from “Freemium” Leads “Try Before You Buy” Expected New ACV in 2014 from “Try Before You Buy” Leads 255 and 281 respondents, respectively Comparison with Previous Surveys Very consistent results with previous years. Approximately 30% of companies derive some amount of new ACV from “freemium” strategies, though virtually no one drives their business on it. “Try Before You Buy” is much more commonly used: 60% derive revenues through this strategy, and 30% derive the majority of their new ACV through “Try Before You Buy”. New ACV New ACV New ACV New ACV New ACV New ACV New ACV 39% 13% 19% 30% New ACV
  • 30. 30 6 5 20 16 9 25 30 49 28 12 6 20 6 23 0 10 20 30 40 50 60 0-1% 1-3% 3-5% 5-6% 6-7% 7-8% 8-9% 9-10% 10-11% 11-12% 12-13% 13-15% 15-17% 17+% NumberofRespondents Sales Commission (As % of ACV) Sales Commissions 255 Respondents Median Commission Paid ≈ 9% Comparison with Previous Surveys Overall consistent with 2014, 2013 and 2012 results, though granular bucketing of potential survey responses this year resulted in additional detail. The median reported sales commission rate for the group is approx. 9% of ACV.
  • 31. 31 0 1 12 8 3 6 13 24 13 7 3 10 1 10 1 2 5 5 3 9 12 12 7 1 2 7 3 3 0 5 10 15 20 25 30 0-1% 1-3% 3-5% 5-6% 6-7% 7-8% 8-9% 9-10% 10-11% 11-12% 12-13% 13-15% 15-17% 17+% NumberofRespondents Sales Commission (As % of ACV) Field Inside Sales Commissions by Sales Strategy Respondents: Field : 111, Inside: 72 Median Inside Commission Paid ≈ 8.9%The survey results indicate that median sales commission rates are only slightly higher for Field Sales versus Inside Sales. Median Field Commission Paid ≈ 9.5% Comparison with Previous Surveys Similar to 2014 survey results, though granular bucketing of potential survey responses this year resulted in additional detail.
  • 32. 32 8% 9% 10% 10% 9.5% 9.5% 0% 2% 4% 6% 8% 10% 12% <$1K $1K-$5K $5K-$25K $25K-$100K $100K-$250K >$250k MedianSalesCommission Median Contract Size (ACV) Sales Commissions as a Function of Median Contract Size Respondents: <$1K: 8, $1K-$5K: 34, $5K-$25K: 64, $25K-$100K: 59, $100K-$250K: 21, >$250K: 13 Median ≈ 9% Comparison with Previous Surveys In 2014, “Elephant hunters” (>$250k median ACV) had materially lower commission rates (7%). We note that the 2015 results are consistent with results from two years ago. There was a high degree of consistency in commission rates across contract sizes.
  • 33. 33 Additional Commission for Extra Years on Initial Contract  No Additional Commission 32%  Nominal Kicker 26%  Full Commission 20% % of Respondents Paying: Upsells 8% % of Respondents Paying Full Commission(1) 45% Median Commission Rate on Upsells Renewals 2% % of Respondents Paying 0-1% on Renewals 42% Median Commission Rate on Renewals Commissions for Renewals, Upsells and Multi-Year Deals (1) Same rate (or higher) than new sales commissions Respondents: Renewals: 224, Upsells: 233, Extra Years on Initial Contract: 216 Comparison with Previous Surveys The most significant changes this year include: 1) Upsells: this year just 45% paid full commission rates on upsells, vs. 58% in last year’s group; 2) This year just 32% paid no additional commission on longer term contracts vs. 42% in last year’s group. Not surprisingly, commissions on renewals are typically deeply discounted, with a median rate of 2%. Upsells command a median rate of 8%, and nearly half of the companies pay full commissions on upsells.
  • 34. 34 6% 3% 8% 6% 8% 7% 0% 1% 2% 3% 4% 5% 6% 7% 8% 0-1% 1-3% 3-5% 5-7% 7-9% >9% GrossDollarChurn% Commissions on Renewals Effect of Renewal Commission Rates on Gross Dollar Churn (Excluding Companies <$2.5MM in Revenue) (1) The difference in medians compared to pg. 52 is due to different samples. Respondents: 0-1%: 35, 1-3%: 35, 3-5%: 13, 5-7%: 10, 7-9%: 5, >9%: 8 Median ≈ 6%(1) One natural question to ask is whether companies which pay higher commissions on renewals experience lower churn. The following chart suggests that there is little correlation between commissions on renewals and gross churn.
  • 35. 35 33% 38% 27% 33% 57% 0% 10% 20% 30% 40% 50% 60% 70% 0-1% 1-3% 3-5% 5-7% >7% 2014RevenueGrowth Commissions on Renewals Median Growth Rate as a Function of Commissions on Renewals (Excluding Companies <$2.5MM in Revenue) Median ≈ 35% Respondents: 0-1%: 52, 1-3%: 43, 3-5%: 15, 5-7%: 11, >7%: 15 Companies offering 7% or greater commissions on renewals have experienced the highest growth rate.
  • 37. 37 Self- Managed Servers 37% Amazon Web Services (AWS) 40% Salesforce1 5% Azure 3% Other Third Party 16% Self- Managed Servers 35% Amazon Web Services (AWS) 44% Salesforce1 4% Azure 6% Other Third Party 11% How is Your SaaS Application Delivered? Respondents: Now: 282 respondents, 3 Years from Now: 280 respondents Now 3 Years from Now We asked participants to provide information on their primary application delivery method (in-house or third-party) and how they expect that to change over the next three years. Over 60% already use 3rd parties predominantly (two- thirds of which is AWS); expectations for the future show little change. Comparison with Previous Surveys The trend toward using 3rd party public cloud is huge – self-managed is down from 52% last year to 37% this year!
  • 38. 38 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Less than $1.25MM $1.25MM to $2.5MM $2.5MM to $5MM $5MM to $10MM $10MM to $15MM $15MM to $25MM $25MM to $40MM Greater than $40MM Self-Managed Servers Amazon Web Services (AWS) Salesforce1 Microsoft Azure Other Third Party SaaS Application Delivery Method(1) as a Function of Size of Company (1): Defined as “predominant” mode of delivery Respondents: Less than $1.25MM: 96, $1.25MM-$2.5MM: 27, $2.5MM-$5MM: 34, $5MM-$10MM: 30, $10MM-$15MM: 14, $15MM-$25MM: 25, $25MM-$40MM: 17, Greater than $40MM: 36, respectively When filtered by company size, smaller respondents reported more frequent use of third-party providers as their primary application delivery method, while the largest companies were more likely to use self-managed servers. Comparison with Previous Surveys We see a shift away from self-managed at every level.
  • 39. 39 60% 23% 38% 31% 32% 43% 33% 82% 67% 68% 36% 28% 33% 52% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% <$2.5MM $2.5MM to $5MM $5MM to $10MM $10MM to $15MM $15MM to $25MM $25MM to $40MM >$40MM 2014RevenueGrowthRate 2014 GAAP Revenue Self Managed Third-Party Comparison of Growth Rates for Companies Managing Their Own Servers vs. Using 3rd Parties Respondents: <$2.5MM: 24 and 92, $2.5MM-$5MM: 11 and 23, $5MM-$10MM: 14 and 16, $10MM-$15MM: 6 and 8, $15MM-$25MM: 13 and 12, $25MM-$40MM: 8 and 9, >$40MM: 26 and 10, respectively Companies that delivered their applications through third - party managed servers generally experienced faster growth rates (in some cases considerably faster) Self-Managed Median ≈ 32% Third-Party Median ≈ 47%
  • 40. 40 6% 6% 16% 4% 5% 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% Self-Managed Servers Amazon Web Services (AWS) Salesforce1 Microsoft Azure Other Third Party 2014ApplicationDeliveryCostas%ofRevenue What Are Your Operational Costs to Deliver the SaaS Application? Respondents: Self-Managed: 86, AWS: 101, Salesforce1: 10, Microsoft Azure: 8, Others: 38 Median ≈ 6% Respondents relying primarily on self-managed servers reported a median delivery cost of 6% of sales, comparable to those primarily using AWS. The median cost of delivery for respondents on Salesforce1 was considerably higher at 16%. Comparison with Previous Surveys Largely consistent with 2014 results. Significantly more expensive, but see following analysis suggesting comparable overall costs
  • 41. 41 77% 78% 83% 90% 79% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Self-Managed Servers Amazon Web Services (AWS) Salesforce1 Microsoft Azure Other Third Party 2014SubscriptionGrossMargin Subscription Gross Margin as a Function of SaaS Application Delivery Method Respondents: Self-Managed: 90, AWS: 87, Salesforce1: 12, Microsoft Azure: 5, Others: 35 Median ≈ 78% Interestingly, despite the aforementioned differences in estimated operational costs, median subscription gross margins were much more closely aligned when filtered by SaaS application delivery method. (Azure aberration is likely due to sparse data).
  • 42. 42 8% 11% 7% 5% 9% 11% 6% 10% 4% 10% 6% 6% 8% 11% 0% 2% 4% 6% 8% 10% 12% <$2.5MM $2.5MM to $5MM $5MM to $10MM $10MM to $15MM $15MM to $25MM $25MM to $40MM >$40MM 2014ApplicationDeliveryCostasa%ofRevenue 2014 GAAP Revenue Self-Managed Third-Party Operational Costs as a Function of SaaS Application Delivery, Grouped by Size Tiers Somewhat surprisingly, among respondents, a company’s size has little impact on delivery costs as a percentage of revenues. Third-Party Median ≈ 9% Respondents: <$2.5MM: 22 and 56, $2.5MM-$5MM: 8 and 19, $5MM-$10MM: 10 and 14, $10MM-$15MM: 5 and 5, $15MM-$25MM: 13 and 11, $25MM-$40MM: 5 and 9, >$40MM: 20 and 8, respectively Self- Managed Median ≈ 7% Comparison with Previous Surveys In 2014, companies deploying self-managed servers generally faced greater operational costs.
  • 44. 44 2015E Median "At Scale"(1) Median Gross Margin 74% 79% Operating Expense Margins: Sales & Marketing 32% 27% R&D 24% 19% G&A 16% 13% EBITDA 1% 17% FCF 3% 17% YoY Growth Rate 31% 25% Cost Structure and Future Expected Operating Leverage (Excluding Companies <$2.5MM in Revenue) (1): Note – Survey describes scale as “$100 million in revenues or higher.” Respondents: 2015E Median: 134, “At Scale” Median: 130, <$2.5MM Median: 95 Comparison with Previous Surveys Very similar results to last year’s survey. The median numbers reflect respondents’ beliefs that the most operating leverage will come from improvements in gross margin, S&M and R&D.
  • 45. 45 Median Cost Structure by Size (Includes Only Companies with >$2.5MM in ACV) Note that numbers do not add due to the fact that medians were calculated for each metric separately and independently (1): Annual Contract Value (ACV) is defined as total annualized recurring SaaS revenues, excluding professional services, perpetual licenses and related maintenance Respondents: $2.5MM-$5MM: 21, $5MM-$10MM: 26, $10MM-$15MM: 16, $15MM-25MM: 21, $25MM-$40MM: 12, >$40MM: 52 All Size of Company (ACV) (1) 2014 Respondents $2.5-$5M $5-$10M $10-$15M $15-$25M $25-$40M >$40M Total Gross Margin 71% 81% 83% 64% 69% 61% 70% Subscription 79% 83% 83% 74% 76% 77% 76% Professional Services 15% 32% 17% 23% 14% 0% 15% Operating Expense Margins: Sales & Marketing 33% 23% 31% 37% 46% 36% 36% R&D 25% 28% 26% 31% 29% 26% 22% G&A 16% 17% 16% 22% 17% 14% 16% EBITDA Margin (5%) 5% 4% (23%) (13%) (20%) (3%)
  • 46. 46 Total Revenue Run-Rate ~$25MM ~$50MM ~$100MM Median Values Gross Margin 63% 64% 67% Sales & Marketing 47% 44% 44% Research & Development 23% 19% 19% G & A 17% 16% 15% EBIT Margin (29%) (17%) (6%) FCF Margin (10%) (5%) (2%) YoY Revenue Growth Rate (1) 120% 67% 44% For Comparison: Historical Results of Selected Public SaaS Companies (1): YoY Revenue Growth compares against previous year’s revenue of the companies at the time Note: Excludes stock-based compensation (SBC) Median includes ALRM, AMBR, APPF, ATHN, BCOV, BNFT, BOX, BV, CNVO, COVS, CRM, CSOD, CTCT, CVT, DMAN, DWRE, ECOM, EOPN, ET, FLTX, HUBS, LOGM, MB, MKTG, MKTO, MRIN, N, NEWR, NOW, OPWR, PAYC, PCTY, PFPT, QLYS, RNG, RNOW, RP, SFSF, SHOP, SPSC, SQI, TLEO, TXTR, VEEV, VOCS, WDAY, WK, XTLY, YDLE and ZEN ~$25M median excludes BNFT, COVS, CVT, FLTX, PAYC, PCTY, QLYS, RNG, RP, VEEV and WDAY ~$50M median excludes RP and TXTR ~$100M median excludes AMBR, APPF, BCOV, DMAN, DWRE, ECOM, EOPN, MB, MKTO, MRIN, PCTY, QLYS, SPSC, SQI, TXTR and XTLY
  • 47. 47 33% 24% 28% 27% 28% 26% 41% 38% 41% 42% 43% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% <10% 10-15% 15-20% 20-25% 25-30% 30-35% 35-40% 40-50% 50-60% 60-80% >80% Median2014Sales&MarketingSpendas%ofRevenue 2014 Growth Rate Sales & Marketing Spend vs. Growth Rate (Excluding Companies <$2.5MM in Revenue) Median ≈ 32% Respondents: <10%: 9, 10-15%: 9, 15-20% : 9, 20-25%: 14, 25-30%: 15, 30-35%: 10, 35-40%: 8, 40-50%: 11, 50-60%: 10, 60-80%: 19, >80%: 19 Comparison with Previous Surveys Very similar results to last year’s survey. Not surprisingly, companies which spend more on sales & marketing (as a % of revenue) grew at a faster rate than those which spend less. It is interesting to see a step function at 35% growth, and not much increase in sales & marketing spend required for higher growth rates.
  • 49. 49 12 36 50 24 40 27 18 18 2 0 20 40 60 Less than $1,000 $1k-$5k $5k-$15k $15k-$25k $25k-$50k $50k-$100k $100k-$250k $250k-$1MM Greater than $1MM Median Annual Contract Size (ACV) of a Customer 227 respondents Median ≈ $21K Comparison with Previous Surveys These results are in-line with previous survey medians of $21K, $20K and $24K in 2014, 2013 and 2012, respectively. The median initial annual contract size (subscription component only) for the group was $21K per year.
  • 50. 50 Monthly 36% Quarterly 11% Quarterly to <1 Year 9% 1 Year 43% 1-2+ Years 1% Month to month 11% Less than 1 year 10% 1 to 2 years 51% 2 to 3 years 16% 3 years or more 12% Median / Typical Contract Terms for the Group Respondents: Average Contract Length: 240, Average Billing Period: 239 Median ≈ 1.5 years Median ≈ 6 months Average Contract Length Average Billing Period Comparison with Previous Surveys Essentially the same median contract length as in the 2014 survey, while the group has shown slightly more aggressive (longer forward) billing (median of 6 months vs. 3 months last year). The median average contract length is 1.5 years; and the median billing term is six months in advance.
  • 51. 51 Contract Length as a Function of Contract Size Respondents: <$1K: 12, $1K-$5K: 36, $5K-$25K: 74, $25K-$100K: 67, $100K-$250K: 18, >$250K: 20 Comparison with Previous Surveys Companies in the "elephant hunter" group are booking longer term contracts. Respondents with >$250K ACV book 35% of their contracts at 3 years or longer (compared to only 5% in the 2014 group). The phenomenon of longer contract terms for larger contracts is pretty clear. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% <$1k $1k-$5k $5k-$25k $25k-$100k $100k-$250k >$250k AverageContractLength Median Contract Value (ACV) Month to month Less than 1 year 1 to 2 years 2 to 3 years 3 years or more
  • 52. 52 Seats 34% Usage or transactions 24% Sites 8% Total employees 6% Database size 5% Other 23% What is Your Primary Pricing Metric? “Other” includes: Data usage, number of apps being tested, email volume, customer devices and amount of content 240 respondents Comparison with Previous Surveys These results are largely in-line with 2014, 2013 and 2012 results.
  • 53. 53 26 19 15 36 39 0 10 20 30 40 1-3% 4-6% 7-9% 10-15% > 15% AnnualUnitChurn Annual Unit Churn(1) (Excluding Companies <$2.5MM in Revenue) Median ≈ 10% (1): Percentage churn of # of paid customers at year-end 2013 that were still customers at year-end 2014 135 respondents Comparison with Previous Surveys This result is slightly higher than the 2014 and 2013 results of 8%. Reported median annual unit churn (by customer count) is 10% for the group.
  • 54. 54 52 39 13 11 13 0 10 20 30 40 50 60 <5% 5-10% 10-15% 15-20% >20% AnnualGrossDollarChurn Annual Gross Dollar Churn (Excluding Companies <$2.5MM in Revenue) “What percentage of total ACV on a dollar basis churns in a given year?”(1) (1): Excluding the benefit of upsells 128 respondents Median ≈ 7% Comparison with Previous Surveys This result is in the same range as earlier results (6% in 2014, 8% in 2013, 5% in 2012). Median annual gross dollar churn (without the benefit of upsells) is 7%. The results were virtually the same when including companies <$2.5MM in revenues.
  • 55. 55 8% 12% 7% 4% 3% 3% 0% 2% 4% 6% 8% 10% 12% 14% Month to month 1 year or less 1 to 2 years 2 years 3 years 4+ years Average Contract Length Annual Gross Dollar Churn as a Function of Contract Length (Excluding Companies <$2.5MM in Revenue) Respondents: Month to Month: 5, Less than 1 year: 30, 1 to 2 years: 49, 2 years: 15, 3 years: 19; 4+ years: 10 Median ≈ 7% Comparison with Previous Surveys Results are consistent with those from last year; the exception being companies using month to month contracts, which show significantly lower churn rates in this year’s survey (8% vs. 13% in the 2014 survey). Not surprisingly, companies with very long term contracts (2+ years) have the lowest annual dollar churn. As expected, companies with short-term contracts (<1 year) tend to experience higher churn.
  • 56. 56 8.8% 9.2% 6.3% 10.8% 7.4% 4.4% 3.1% 3.4% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 1 to 2 years 2 years 3 years 4+ years Contract Length Non-Renewals Annualized Gross Churn Close-Up: Annual Non-Renewal Rates(1) vs. Gross Churn for Companies with Long-Term Contracts (Excluding Companies <$2.5MM in Revenue) (1) Annual non-renewal rate is based on only contracts up for renewal in a particular year Respondents: 1 to 2 years: 49, 2 years: 15, 3 years: 19; 4+ years: 10 Non-Renewal Median for the LT Contract Group ≈ 8.3% The respondent data would suggest that companies with contract lengths of greater than one year actually experience equivalent, if not greater, non- renewal rates when only considering dollars up for renewal compared to its peers preferring sub-annual contracts
  • 57. 57 13% 8% 8% 5% 4% 5% 0% 2% 4% 6% 8% 10% 12% 14% <$1K $1K-$5K $5K-$25K $25K-$100K $100K-$250K >$250K GrossDollarChurn Median Contract Size (ACV) Annual Gross Dollar Churn as a Function of Contract Size (Excluding Companies <$2.5MM in Revenue) Respondents: <$1K: 4, $1K-$5K: 15, $5K-$25K: 36, $25K-$100K: 36, $100K-$250K: 19, >$250K: 10 Comparison with Previous Surveys Very similar to previous results. As contract sizes increase, gross dollar churn generally trended downwards (mostly related to longer term contracts, presumably).
  • 58. 58 5% 11% 8% 4% 8% 0% 5% 10% 15% Field Sales Inside Sales Internet Sales Channel Mixed AnnualGrossDollarChurn Annual Gross Dollar Churn as a Function of Primary Distribution Mode (Excluding Companies <$2.5MM in Revenue) Respondents: Field Sales: 55, Inside Sales: 24, Internet Sales: 4, Channel Sales: 7, Mixed: 38 Median ≈ 7% Comparison with Previous Surveys Largely consistent with previous survey results. Those companies employing primarily field sales had lower churn rates than those employing primarily inside sales or mixed distribution.
  • 59. 59 11 9 8 19 39 30 37 38 29 0 20 40 60 <80% 80-90% 90-95% 95-100% ~100% 100-105% 105-110% 110-120% >120% Annual Net Dollar Retention from Existing Customers Median ≈ 104% “How much do you expect your ACV from existing customers to change, including the effect of both churn and upsells?”(1) 100%+NetRetention (Upsellsgreater thanchurn) NetChurn (Churngreater thanupsells) (1): We define this as the “net dollar retention rate” 220 respondents Comparison with Previous Surveys Nominally higher than 2014 (103%) and 2013 (101%) and 2 percentage points lower than 2012 (106%). The median annual net dollar retention rates, including churn, but also including the benefit of upsells, is 104%. The result does not change materially when removing the smallest companies (<$2.5MM in revenue) from the group (likely due to longer contracting).
  • 60. 60 Unit Economic Leaders ( Subscription GM > 80%; CAC All < $1.50; and Net $ Retention > 100%) Others Business and HQ Vertical 44% 25% End Customer 44% Enterprise 50% Enterprise Revenue Median 2014 Revenue $9MM $23MM % of Companies >$25MM 17% 47% Median Growth Rate 31% 35% Revenue per FTE $138K $151K Primary Distribution Mode - Field Sales Dominated 71% 53% - Inside Sales Dominated 18% 22% Application Delivery - 3rd Party Managed (e.g. AWS, Salesforce, etc.) 53% 48% Median ACV Per Customer $28K $30K Billing - % Companies Billing 1 Year or More in Advance 47% 44% % New ACV from Upsells 26% 19% Comparison of Unit Economic Leaders to All Other Companies (Excluding Companies <$5MM in Revenue) Respondents: Unit Economic Leaders: 18, All Others: 114 Superior unit economics – high lifetime value of customer (LTV) and low CAC – are critical success factors. We compared companies with the strongest metrics used to derive LTV and CAC with everyone else, and found some interesting patterns. Comparison with Previous Surveys Among the Unit Economic Leaders we see: smaller companies, more field dominated selling, more vertical market SaaS companies; smaller component Enterprise end customers; and higher component of upsells.
  • 62. 62 39 17 18 22 29 10 15 20 25 30 35 40 45 Less than $5MM $5MM to $15MM $15MM to $25MM $25MM to $50MM Greater than $50MM Equity Capital Raised So Far Median ≈ $19MM Respondents; Everybody: 125; >$2.5M: 91 Comparison with Previous Surveys Well above the 2014 and 2013 results of $8MM in raised capital. However, these results are similar to the $23MM in capital raised by participants in the 2012 and survey. Companies in the survey group have raised a median of roughly $19MM in primary equity capital so far (excluding secondary stock sales). If we exclude companies <$2.5MM, the median jumps up to $32MM. Median ≈ $32MM (excluding <$2.5MM)
  • 63. 63 Median Amount No. of 2014 GAAP 2015E Raised to Date Respondents Revenue Growth Less than $5MM 35 $2MM 55% $5MM to $15MM 16 $11MM 31% $15MM to $25MM 18 $19MM 33% $25MM to $50MM 22 $20MM 31% Greater than $50MM 29 $40MM 33% Analysis of Companies by Equity Capital Raised 120 respondents Comparison with Previous Surveys The 2015 respondents have much greater revenue traction per dollars raised than previous years’ groups.
  • 64. 64 All Participants Excluding Companies <$2.5MM in Revenue Years Investment Years Investment Target Required Required Required Required $1MM ACV 2 $3MM 2 $3MM $5MM ACV 3 $6MM 4 $6MM $15MM ACV 5 $10MM 6 $13MM $40MM ACV 7 $17MM 8 $24MM Capital Efficiency Expectations – Median Levels for the Group Actual/expected time and investment required to reach: 207 and 115 respondents, respectively Comparison with Previous Surveys Very similar to 2014 and 2013 survey results.
  • 65. 65 % Using Median Debt Median Debt-to-MRR 2014 Revenue Range Debt(1) Level(2) Ratio Less than $5MM 15% $1MM 2.0x MRR $5MM to $10MM 58% $4MM 2.5x MRR $10MM to $15MM 88% $4MM 3.2x MRR $15MM to $25MM 90% $8MM 2.9x MRR $25MM to $40MM 92% $9MM 2.8x MRR Greater than $40MM 100% $20MM 3.6x MRR Use of Debt Capital Among Private SaaS Companies (1) % of companies with at least $1MM of debt (2) Median among companies with at least $1MM of debt; includes debt outstanding plus availability under existing lines Respondents: Less than $5MM: 43; $5MM to $10MM: 9; $10MM to $15MM: 8; $15MM to $25MM: 20; $25MM to $40MM: 13; Greater than $40MM: 22
  • 67. 67 55% 46% 48% 60% 28% 32% 33% 20% 17% 21% 19% 20% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Whole Group 0-25% 25-75% >75% Professional Services Attach Rate Within a week or two of signing Within a month of signing A few months or more after signing Subscription Revenue Recognition Policies “When do you typically begin recognizing subscription revenues on a new contract with a new customer?” Respondents: 0-25%: 108, 25-75%: 42, >75%: 15 Approximately 55% of the respondents indicated that they begin recognition very soon (within a week or two) after signing new contracts. It’s interesting to see that many companies with significant services were still able to start subscription revenue recognition quickly. Comparison with Previous Surveys Largely unchanged from previous years’ results.
  • 68. 68 As the services are provided 68% Deferred over the expected life of the customer 6% Deferred over the term of the contract 26% Professional Services Revenue Recognition Policies 203 respondents “What is the predominant mode for recognizing professional services revenues?” The clear majority of respondents offering professional services indicated that they recognize that revenue as the services are provided.
  • 69. 69 Deferred recognition 28% Recognized upfront 72% Sales Commission Cost Recognition Policies 214 respondents “How do you recognize sales commission costs (deferred or recognized upfront)?” We also inquired as to the recognition of sales commission costs. We found two-thirds of respondents indicating that they recognize commission costs up-front. Comparison with Previous Surveys 5% increase in “recognized upfront” from last year’s 67%.
  • 70. 70 Subscription Revenue Recognition Professional Services Recognition Sales Commission Recognition Auditor Within a week or two of signing Within a month of signing A few months or more after signing As the service is provided Deferred over life of customer Deferred over contract term Deferred recognition Recognized upfront Deloitte 57% 36% 7% 62% 15% 23% 31% 69% E&Y 59% 27% 14% 68% 0% 32% 15% 85% KPMG 59% 27% 14% 57% 0% 43% 30% 70% PWC 53% 24% 24% 75% 8% 17% 44% 56% BDO 64% 18% 18% 63% 13% 25% 30% 70% Other 52% 30% 18% 67% 7% 27% 25% 75% Total 55% 29% 17% 66% 6% 28% 27% 73% Accounting Policies Across Selected Accounting Firms Respondents: Deloitte: 14, E&Y: 24, KPMG: 25, PWC: 18, BDO: 11, Other: 117
  • 71. 71 2011-2015 YTD Software and SaaS IPOs Rank Firm Deals Value ($MM) 1 Pacific Crest Securities 38 $5,809.5 2 Morgan Stanley 30 5,787.4 3 J.P. Morgan 23 4,316.7 4 Goldman Sachs 21 3,830.4 5 Credit Suisse 21 2,930.4 6 Cannaccord 19 3,135.3 7 Raymond James 18 2,493.2 8 Deutsche Bank 17 2,757.7 9 JMP Securities 17 2,624.8 10 Stifel Nicolaus Weisel 17 2,155.4 11 UBS 14 2,956.2 12 William Blair & Co 14 1,400.5 13 Needham & Co 12 1,183.4 14 Barclays 10 1,733.2 15 RBC Capital Markets 10 1,206.7 16 Bank of America 9 1,270.3 17 Wells Fargo 7 1,856.3 18 Allen & Co 6 1,442.5 19 Piper Jaffray & Co 6 792.3 20 Oppenheimer & Co 6 591.9 21 Cowen & Co 5 1,376.4 22 BMO 5 879.4 23 Citi 4 834.2 24 Lazard Capital Markets 4 446.2 25 First Analysis 3 299.7 has been acquired by PCS Leadership in SaaS and Software – Selected Recent Transaction Experience Corporate Finance Advisory $100,100,000 MINDBODY (MB) Initial Public Offering $150,535,000 Shopify (SHOP) Initial Public Offering $201,250,000 Box (BOX) Initial Public Offering $115,000,000 Hortonw orks (HDP) Initial Public Offering $143,750,000 HubSpot (HUBS) Initial Public Offering $114,999,993 Zendesk (ZEN) Initial Public Offering $114,626,250 Paycom Softw are (PAYC) Initial Public Offering $133,073,876 2U (TWOU) Initial Public Offering $110,503,887 Amber Road (AMBR) Initial Public Offering $300,035,000 Veeva Systems (VEEV) Initial Public Offering $135,240,000 Cvent (CVT) Initial Public Offering $732,550,000 Workday (WDAY) Initial Public Offering $104,535,000 Qualys (QLYS) Initial Public Offering $241,155,000 ServiceNow (NOW) Initial Public Offering has been acquired by has been acquired by has been acquired by has been acquired by has been acquired by has been acquired by has received an investment from has received an investment from has been acquired by has divested the Progress Apama Solution to has been acquired by has received an investment from has been acquired byhas been recapitalized by $85,560,000 AppFolio (APPF) Initial Public Offering
  • 72. 72 Disclosures Important Disclosures: This report has been prepared by Pacific Crest Securities, a division of KeyBanc Capital Markets Inc., herein known as “PCS”. The material contained herein is based on data from sources considered to be reliable; however, PCS does not guarantee or warrant the accuracy or completeness of the information. It is published for informational purposes only and should not be used as the primary basis of investment decisions. Neither the information nor any opinion expressed constitutes an offer, or the solicitation of an offer, to buy or sell any security. The opinions and estimates expressed reflect the current judgment of PCS and are subject to change without notice. This report may contain forward-looking statements, which involve risk and uncertainty. Actual results may differ significantly from the forward-looking statements. This report is not intended to provide personal investment advice and it does not take into account the specific investment objectives, financial situation and the specific needs of any person or entity. Pacific Crest’s specific disclosures can be seen here: http://www.pacific-crest.com/disclosures/ Pacific Crest’s privacy policy can be seen here: http://www.pacific-crest.com/privacy-policy/ Survey respondents participated anonymously and confidentially. Responses were received through online surveys taken in June-July 2015. Pacific Crest cannot verify accuracy of responses. Observations and commentary contained herein relate solely to the survey results and cannot necessarily be applied elsewhere. About Pacific Crest: Pacific Crest Securities provides premier investment banking services for technology, operating at the leading edge, where global connectivity is fueling an unprecedented expansion cycle. We apply our knowledge of the drivers of value creation and global network of relationships to technology — high-growth sectors, such as Cloud and big data, SaaS, global internet, mobility, next-gen infrastructure and communications, and industrial and energy technology. As a result, our clients — technology’s foremost institutional investors and market leading companies — rely on us to achieve superior returns and gain competitive advantage from the seismic shifts occurring in technology. Pacific Crest Securities is the technology specialist division of KeyBanc Capital Markets Inc., a FINRA registered broker- dealer. Our sector bankers and transactional specialists collaborate to help clients identify and implement the right course of action, whether a financing, M&A or alternative event. Our software clients include Box, Cvent, Eloqua, ExactTarget, FireEye, Fleetmatics, Guidewire Software, Hortonworks, MindBody, Plex, Proofpoint, ServiceNow, SevOne, Splunk, Tableau Software, Veeva Systems, Workday and Zendesk, among others. Pacific Crest Securities has offices in Boston, Charlotte, New York, Portland, San Francisco, Seattle, Stamford, as well as the Beijing Representative Office and Pacific Crest Securities UK, Ltd, London. If you have questions or comments, please contact David Spitz, Managing Director: dspitz@pacific-crest.com; Twitter @dspitz