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The Innovation Lifecycle
A Disruptive Innovation Thought Exercise
Disclaimers
This presentation involves several premises used in the context of
Disruptive Innovation
This deck reflects my own take on Disruptive Innovation
Most of the useful work in Disruptive Innovation is done by Innosight LLC. I
am not a part of Innosight, LLC.
The ideas in this deck center on consumer goods and services and may
not be relevant to commodities et al
The presentation is very general. One can find counterexamples to every
statement made. No investment advice intended except, perhaps, “be
careful and do your homework.”

2014 John Boddie

1
Low End Disruption

A common form of disruptive innovation
Here, a product or service marches upmarket over time by
peeling successive layers of “low value” customers [i.e..
customers that will not pay top dollar for fully featured goods]
away from sector leaders in a given market.
This new product or service offers a differently-featured
substitute with new value proposition that is appealing to these
disaffected customers

2014 John Boddie

2
The concept was developed at Harvard
Business School

Photo Taken from onpoint.wbur.org

Prof. Clayton Christensen developed these theories in the 1990’s
2014 John Boddie

3
Disruptive theory stemmed from a
management question

Prof. Christensen looked at innovative companies with
great technology, capable staff and strong mangers, and
noticed that these companies were losing market share
despite doing everything right.

2014 John Boddie

4
What do we mean by “Doing everything right?”
By taking all of the steps required to become a world class company…

Identify your
best customers

Improve
operational
efficiency

Develop higher
margin
products

Drop
underperforming
parts of your
portfolio

You narrow the range of customers whose needs you can address

…and lose the ability to respond to new market entrants

2014 John Boddie

5
Let’s look at a hypothetical example

2014 John Boddie

6
Suppose that your firm has developed a new
good that serves a new and interesting market

The Butterfly Labs Bitcoin Miner
Runs a decryption algorithm in
order to “mine” bitcoins

2014 John Boddie

7
The big break has finally happened and your
product is attracting notice

… You are now one of a few leading players in
the market. You see regular (if small) profits
and sheer survival is less of a struggle.
2014 John Boddie

8
… lessons learned during the struggle to
develop a profitable product drive all four of
you to compete over similar features
Hashing speed
Plug and play
High security

2014 John Boddie

9
… going forward, you (and your competitors) try
to grow sales volume through similar channels

… these channels give each of you great data on
very similar customers, improving your forecasts
while driving common customer segmentations
2014 John Boddie

10
Obtaining data from similar channels, the
major players in your space begin to cluster
consumers in similar ways
Secure comm
8%

Gold Farming in
MMORPGS
2%

1GH to 250GH
17%

below1GH
2%

Over 1TH
1%

USB Stick
9%
Home
Hardware
25%

Currency
Mining
90%

Hosted
Hardware
34%

Cloud Based
12%

250 to 500 GH
80%

You need to grow quickly to carve out lasting
positions in these rich markets
2014 John Boddie

11
In order to gain more money for expansion,
you grow your investor pool

We have 35% of
this market

We expect 20% sector
growth this year and we
are releasing 3 new
products that should
capture an additional
10% of the sector…

…so, given our
margins, investors
should see 5% to 6%
profit growth over the
last quarter

Investors love your projection-friendly
market cycle
2014 John Boddie

12
Over time, your market saturates and it
becomes more expensive to reach new
customers

2014 John Boddie

13
But you’ve been able to entice your core
customers with improved products, allowing
you to maintain profitability…

Faster
Can be run in parallel
Cloud management software

You remain innovative but you’ve
started to focus on improvements
rather than new product lines
2014 John Boddie

14
At some point a competitor will start invading
your customer base by driving down prices.

Pricing for new features begins to flatten out
quickly while old features are commoditized
250 to 500
GH/Second

2010

USD 4,000

Hosting
services

Exclusive
mining
pools

250 to 500 TH/
second and low
power

2012

USD 1,000

Solve for all 10
established
currencies

Manage
Derivatives

Banking services

2020

USD 500

2025

USD 200-400

Adapted from http://www.marketingtechblog.com/history-mobile-phone-cost/
2014 John Boddie

15
At the same time…
Sales peak in accepted consumer segments, making
it even harder to find “new growth” customers

Cryptocurrency mining
service subscriptions
per 1000 people

2014-2023

2014

2015

2014 John Boddie

2016

2017

2018

2019

2020

2021

2022

2023

16
Despite these challenges, investors expect
consistent quarterly earnings forecasts

2014 John Boddie

17
It starts to look tough when things were finally
supposed to become easy
You start to worry

2014 John Boddie

18
You start to look for growth within the existing
market rather than outside
I need to lower prices

I need to take customers
from the competition
Lower production costs!

Remove low margin products
and standardize components

Create internal cost savings
initiatives for production
managers
Enter large volume contracts
at better prices with bigger
supply chain partners
2014 John Boddie

19
You might improve profitability by reducing
overhead costs
Combine jobs and reduce
headcount. Focus on
terminating underperformers
I need to reduce my
overhead costs
Let’s identify pipeline products that
really help the bottom line and shelve
those that don’t promise good returns

Set higher productivity metrics
for my departments and
pressure managers to succeed

2014 John Boddie

20
Sales and distribution may also contribute
Who is the best at selling my
high-margin goods?
I should focus on developing
better deals with my top 5
distribution and sales
partners…..
Who has the best
geographic reach?

Who is offering the
best customer
incentive programs?

Who will help me I reduce
my service costs?

Who offers the best data?

2014 John Boddie

21
Whew! After some struggle, you’re able to confidently
project quarter-to-quarter earnings growth
You are able to meet your targets
You have some great core product variations in your
pipeline… you are innovative
You might be able to do this for years

But there is a small, low end company on the horizon
2014 John Boddie

22
A (Hypothetical) large-scale,
distributed computing approach to
cryptocurrency mining. Uses mobile
phone processors. No separate
hardware component. Users get
fractions of mined currency.

2014 John Boddie

23
At first...

Nope, too busy
engineering this
new processor

Hey, have
any of you
heard about
bitcrowd?

I’ll ask our
marketing
partners

Yeah, but I
wouldn’t take
distributed
computing too
seriously. You can’t
do much with it.

Software, not
hardware. Not
my problem.

2014 John Boddie

24
Then...
Hey,
bitcrowd has
over 1 m
users

We don’t know
mobile phones.
You’d need to
give us $$ for a
new team.

We are making a
ton of money from
our new services
software. I can’t
afford to lose focus
Yeah, but that 1m
would never be
our customers
anyway
I’m going all out here.
I’d need a command
from the top to shift
resources

2014 John Boddie

25
Eventually...

We really
need to kill
bitcrowd..

We have specs from
software. We can do the
chips and get them into
production in the next year
Our software team has put
together something similar
called Bitsource. Given
Bitcrowd’s apparent
market we should make a
kajillion dollars.
I will press our
channel partners
to push it once it is
ready to go
We have a mobile
phone partner who
may be willing to install
the chips

2014 John Boddie

26
We needed to spend extra time
debugging our next gen platform.
We lowered our projections for the
mobile phone chip volumes
anyway so this was the correct
approach.

Finally...

The software was good but
marketing couldn’t design
a user friendly interface
that attracted customers

I told our
investors
that we’d win
this. What
happened?

Don’t blame us. It
tested well with our
current customers. Our
channel partners hate
it anyway.

I couldn’t get them to
prioritize production of
the new mobile
phones
2014 John Boddie

27
It seems that the drive to grow within a mature
market often comes with a cost
Remove low margin products
and standardize components

The company sets a new, higher bar for product
margins, making it more difficult to experiment
with products that don’t project great returns

Enter large volume contracts
at better prices with bigger
supply chain partners

It becomes harder to set up small product test
runs and large scale suppliers may be less able
to help with custom work.

Create internal cost savings
initiatives for production
managers

2014 John Boddie

Managers may respond by pressuring staff
members to focus solely on products that
support the current bottom line. There will be
less time for experimentation.
28
Combine jobs and reduce
headcount. Focus on
terminating underperformers

Identify pipeline products that
really help the bottom line and
shelve those that don’t promise
good returns

Set higher productivity metrics
for my departments and
pressure managers to succeed

2014 John Boddie

Average workloads rise and employees have
less time to experiment with new ideas.
Employees that do try new things need to create
outsized justifications for side work, setting
impossible benchmarks for side projects.

This favors products with the best, most airtight
market data (i.e., those in existing markets).
Managers inflate returns beyond all reason in
order to preserve projects, raising the risk that
they will be killed prematurely.

Managers will resist any new initiatives that
might risk their KPI’s; understanding that it is
safer to promote similar products using known
suppliers through proven sales and distribution
channels.
29
Who is the best at selling my
high-margin goods?

These partners may be far less willing to sell a
mix of goods or experiment with lower-margin
goods

Who has the best
geographic reach?

Who will help me I reduce
my service costs?

These partners may offer great prices and
incentives but may make aftermarket service
problematic, alienating customers that were best
served by older (essentially de-featured) product
models.

Who is offering the
best customer
incentive programs?

Who offers the best data?

2014 John Boddie

Even if you get the best, most airtight data for
existing products, this data is often only useful
for similar/ next square products. The quality of
the data, however, may increase the perceived
risk of the unknown.
30
To Summarize So Far…
After a period of often desperate competition, a few small
companies will finally figure out how to profitably bring a new
good or service to a new customer base, opening a new market
These few companies will grow rapidly, often pursuing customers
through similar channels. Data from these channels drives
common, highly-trusted, customer segmentations
Companies grow their investor base in order to expand their
reach. Investors love the steady sales growth and the profits
Eventually the market will mature. New growth will slow and
pricing will flatten, leading companies to compete for an
increased share of existing customers
This struggle to preserve profit growth within a mature market will
drive increased focus on efficiency, reducing the flexibility and
responsiveness required for out of category competition
2014 John Boddie

These companies
become more
vulnerable to disruption
31
Companies remain innovative, but much of
this innovation focuses on variations
around a core product line
Total
Sales
Volume

Time
2014 John Boddie

32
Many of the improvements boil down to
better data, better margins, better efficiency
The need for
better market
projections

Profitability
pressures raise
new product risks

Favors well
defined markets

Drives a focus on
value

Favoring batter
market projects
and lower costs

And makes it
hard to see
emerging
customer
segments

2014 John Boddie

Competition for
existing
customers

Forcing
companies to
preserve profits
by reducing
internal costs

Leading
companies to
double down on
existing product
lines

33
This cycle feels inescapable, a bit like the
product lifecycle
Sales
Volume

Development

Growth

Maturity

Decline

Levitt’s Product
Lifecycle

Time

2014 John Boddie

34
It is worth thinking about an innovation
lifecycle that leads a product lifecycle
High

Resources
allocated to
innovation
work that can
impact the
trajectory of a
firm

Development

Targeted
Innovation

In-Category
Innovation

Stagnation

Low
Time

2014 John Boddie

35
Companies are often highly innovative when
developing new products for new markets

Development

• Innovation work speeds up after the
company is able to get money
• Actively searching for customers
• Profitability is enough- willing to live with
low margins
• Products are refined continually in order
to find the best possible customer fit
• The company is small so it behaves like
one big team with constant
communication

Time

2014 John Boddie

36
They can do their best work once a direction
is established

Targeted
Innovation

• The company knows it’s customers and
how to reach them
• Innovations are increasingly focused on
performance breakthroughs that make life
easier for these customers
• The company is larger and decisions are
more formalized. This often free
engineers and market testers to do their
best work

Time

2014 John Boddie

37
Eventually the desire for low risk, profitable
goods and services drives a company to
focus on “variations on a theme”

In-Category
Innovation

• Market projections are
overweighted, favoring
existing customer data
• The company is big and
investors expect returns
• It becomes safer to release
differentiated core products
than to investigate
fundamentally new product
lines
• Engineers adopt incategory tech
breakthroughs quickly

Time

2014 John Boddie

38
Eventually the company focuses on cutting
costs while struggling to respond to new
market pressures
• Sales volumes and profits begin to drop
• Underserved customers and finding substitute
goods that offer a better fit
• Innovation increasingly focuses on cost
reductions

Stagnation

Time

2014 John Boddie

39
Companies can remain profitable even while losing
the ability to drive non-core innovations
Are there any metrics to suggest that a company is
on the far side of the innovation lifecycle?

2014 John Boddie

40
What have we surmised so far?
Common customer
segmentations

This is a bit tricky to quantify. For consumer goods, check to see whether
Amazon et al have distich product categories. For more opaque items,
check industry surveys.

A Mature Market

Again, this requires a bit of judgment. Is the majority of the market held by
a handful of major competitors?, Are each of the competitors making
similar breakthroughs and offering similar new features on their flagship
products? Does pricing seem to flatten out? Is geographic growth
slowing?

Price pressure/
Rapid
Commoditization

Internally, companies may try to standardize new product features as
quickly as possible, making the COGS appear to spike with each product
release and then fall. Similarly, Gross Profit margins may spike then fall.

A drive toward
efficiency to
preserve profits

Revenue per employee may rise as headcounts are trimmed and
efficiency drives are launched. Similarly, the operating margins should
rise.

Erstwhile happy
investors

Stock prices should remain steady or rise.

2014 John Boddie

41
A warning and a reminder
This presentation talks about conditions that may leave companies within a sector
open for disruption. This does not mean that these companies will invariably be
disrupted
These are only theories, drawn from common observations about problems that
face companies in mature markets. As we will see on the next pages, associated
key financial measurements are problematic at best.
Every company deals with challenges using its own mix of approaches. In larger
companies, weakness in a product line may be entirely hidden.
Even if metrics are refined and a more exacting approach evolves, guidance will
never reach beyond “it’s time to pay attention to small, emerging companies in a
space.” Anyone who buys or sells stock or options based solely on the listed metrics
is an idiot

2014 John Boddie

42
Sample Troublesome Data
Some potential problems:
1) Data prior to 1995 can be
difficult to obtain.
Remove low margin products
and standardize components

Operating Margins Rise
Create internal cost savings
initiatives for production
managers

Set higher productivity metrics
for my departments and
pressure managers to succeed

Combine jobs and reduce
headcount. Focus on
terminating underperformers
2014 John Boddie

Revenue per
employee rises

2) It may be difficult to separate a
natural growth in revenue per
employee (the result of common
technological advances) from
revenue growth driven by cost
cutting measures.

3) Large companies have a
variety of products across several
divisions. Data within a particular
product division is normally
unavailable. It may be hard to
detect changes within a particular
product division at a large
company.
4) Mature markets often undergo
a round of M&A, making it more
difficult to track individual
company performance
43
Example: Mahindra enters the US tractor
market in 1994 and is 4th largest mfr. by 2005
Ford 7810- 6 cyl, 90 hp,
81 L fuel tank

John Deere 6900- 6 cyl,
130 hp, 264 cm wheelbase,
5391 kg, 250 L fuel tank

New Holland 9880- 6 cyl,
400 hp

In 1994, Mahindra
launched M&M USA with
a 45HP consumer grade
tractor.

We are interested in the
tractor market between
1990 and 1998 or so,
when companies finally
began responding to
pressure in the consumer
segment.

Mahindra 575- 4 cyl, 45 hp,
194 cm wheelbase, 1876
kg, 35 L fuel tank.
2014 John Boddie

44
Let’s look at the tractor market in the
US in the 1990s
Was the majority of the market held by a
handful of major competitors in 1990 to
1995?
Were each of the competitors making similar
breakthroughs and approaching similar
customers with similar new features?
Did pricing seem to flatten out?
Was geographic growth slowing?

2014 John Boddie

Highly fragmented (150 companies) but
fewer than 10 owned 80% of the market

Most of the market targeted big farms,
innovations focused on horsepower, cab
comfort, electronics
Old features were quickly commoditized.
Companies seemed to price in similar
horsepower bands
Strong round of M&A in India, China etc.
in the 1990’s, suggesting maturing
overseas markets

45
Competitors focused on in-category
innovation while losing consumer market
share
Mahindra vs John Deere
new product
launches by horsepower 1992-1998

HP
High Power Tractor
Segment
Consumer
Tractor
Segment

2014 John Boddie

46
In 2004, John Deere overhauled their marketing
department in order to fight for the consumer sector

[1]

They were developing products and then trying to
find consumers
John Deere’s
marketing
director
identified 3
interesting
problems

They were basing market research on current
customers rather than potential customers

They were hiring too many people internally, failing
to diversify their talent base
[1] marketingsherpa.com. Jan 19th 2004 How John Deere Increased Mass Consumer Market Share by Revamping its Market Research Tactics

2014 John Boddie

47
AGCO (purchased Massey Ferguson in 1995),
and John Deere COGS and Gross Profit
Margins* 1992 to 1999
Gross Profit Margins
and COGS were
cyclic, suggesting
price pressure and
commoditization of
new tractor features.

*charts generated by Ycharts, Data unavailable for Harvester, Case,
Moline, Oliver, Allis Chambers. Tractor breakout unavailable for Ford.
2014 John Boddie

48
AGCO and John Deere Rev/Employee and
Operating Margins 1992 to 1999
Revenue per employee
rises for Deere but
remains flat for ACGO.
Operating margins seem
cyclic, within a rough 7%
variation

2014 John Boddie

49
AGCO and John Deere Stock
prices 1992 to 1999

Investors seem happy with Deere and AGCO until 2H 1998

2014 John Boddie

50
So, was it helpful?

The Good

John Deere showed the cyclic COGS and Gross Profit margins that
we’d expect in a mature market where new products are rapidly
commoditized. They also showed rising revenue per employee, which
suggests that operations were being streamlined and becoming more
efficient. Last, investors, as is their wont, seemed to love both Deere
and AGCO until 1998, when they suddenly pulled away.

The Bad

The case is much less clear with AGCO. COGS seems cyclic but
muted while gross profit margins seem to hover around 20%. Revenue
per employee falls after 1995 while operating margins for both Deere
and AGCO seem to hover between 8% and 15%

Conclusion

COGS and Revenue per employee seem to be modestly promising
indicators. Operating margins and gross margins seem to be less useful

2014 John Boddie

51
Example: The mobile phone market looks
mature
There are only a handful of major competitors?

AAPL, SSNLF, Motorola
(Stock info for HTC, LG
unavailable)

Are each of the competitors making similar
breakthroughs and offering similar new features
on their flagship products?

4G LTE, better screens, more
memory, faster processors

Does pricing seem to flatten out?

Old features are quickly
commoditized. Companies
seem to price in similar bands

Is geographic growth slowing?

Penetration is slowing in most
countries though many
consumers are purchasing
better and better phones

2014 John Boddie

52
AAPL, SNSFL, SNE, MSI: COGS and Gross
Profit Margins June 2007 to present
Gross Profit Margins
and COGS are cyclic,
suggesting price
pressure and
commoditization of
new mobile phone
features.

*charts generated by Ycharts, Data unavailable for Harvester, Case,
Moline, Oliver, Allis Chambers. Tractor breakout unavailable for Ford.
2014 John Boddie

53
AAPL, SNSFL, SNE, MSI: Rev/Employee and
Operating Margins June 2007 to Present
Revenue per employee
has risen annually for
Apple and Samsung but
has remained steady for
Sony and Motorola

At the same time,
operating margins have
shown a slight climb for
Apple, Samsung and
Motorola over the last
two years while
remaining steady for
Sony

2014 John Boddie

54
AAPL, SNSFL, SNE, MSI: Stock Price
June 27 to present
Apple and Samsung electronics have both
done very well, while Sony and Motorola
have remained relatively flat

2014 John Boddie

55
So, is this useful

The Good

AAPL, MSI and SSNLF data seems to suggest that the phone market
has matured and that new features are being commoditized. All three
have also become slightly more efficient since 2011, suggesting that
they may be losing some flexibility.

The Bad

Three of the four companies are very large, with multiple product lines.
It is difficult to attribute any change in key data to maturation of the
mobile handset market.

Conclusion

Again, it seems as if companies in mobile handsets are facing
commoditization pressure. It is hard to tell whether they are trying to
support profits by becoming more efficient. They may do this in 2014
given the apparent downside risk of a missed profit forecast.

2014 John Boddie

56
Next steps
More research. Additional key metrics should be tested on markets
where disruptive product trajectories have injured one or more major
players.
Better data. Baseline growth in revenue per employee should be
separated out. It is worth looking at data within a particular division or
product line (if possible).
Test the idea of a bellwether company. It appears that Deere and
Apple may rely enough on their core product categories (tractors and
phones) to act as effective signals that a market is suitably mature and
that company (or divisions) within a market may not be able to address
disruptive entrants.
Move beyond disruption. By characterizing the innovation cycle and
winnowing out the nest associated metrics, it may be possible to give
companies the tools needed to explain forays into new markets and lowermargin products despite enjoying record profits from established customers.

2014 John Boddie

57

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The Innovation Lifecycle

  • 1. Bio-X Title slide The Innovation Lifecycle A Disruptive Innovation Thought Exercise
  • 2. Disclaimers This presentation involves several premises used in the context of Disruptive Innovation This deck reflects my own take on Disruptive Innovation Most of the useful work in Disruptive Innovation is done by Innosight LLC. I am not a part of Innosight, LLC. The ideas in this deck center on consumer goods and services and may not be relevant to commodities et al The presentation is very general. One can find counterexamples to every statement made. No investment advice intended except, perhaps, “be careful and do your homework.” 2014 John Boddie 1
  • 3. Low End Disruption A common form of disruptive innovation Here, a product or service marches upmarket over time by peeling successive layers of “low value” customers [i.e.. customers that will not pay top dollar for fully featured goods] away from sector leaders in a given market. This new product or service offers a differently-featured substitute with new value proposition that is appealing to these disaffected customers 2014 John Boddie 2
  • 4. The concept was developed at Harvard Business School Photo Taken from onpoint.wbur.org Prof. Clayton Christensen developed these theories in the 1990’s 2014 John Boddie 3
  • 5. Disruptive theory stemmed from a management question Prof. Christensen looked at innovative companies with great technology, capable staff and strong mangers, and noticed that these companies were losing market share despite doing everything right. 2014 John Boddie 4
  • 6. What do we mean by “Doing everything right?” By taking all of the steps required to become a world class company… Identify your best customers Improve operational efficiency Develop higher margin products Drop underperforming parts of your portfolio You narrow the range of customers whose needs you can address …and lose the ability to respond to new market entrants 2014 John Boddie 5
  • 7. Let’s look at a hypothetical example 2014 John Boddie 6
  • 8. Suppose that your firm has developed a new good that serves a new and interesting market The Butterfly Labs Bitcoin Miner Runs a decryption algorithm in order to “mine” bitcoins 2014 John Boddie 7
  • 9. The big break has finally happened and your product is attracting notice … You are now one of a few leading players in the market. You see regular (if small) profits and sheer survival is less of a struggle. 2014 John Boddie 8
  • 10. … lessons learned during the struggle to develop a profitable product drive all four of you to compete over similar features Hashing speed Plug and play High security 2014 John Boddie 9
  • 11. … going forward, you (and your competitors) try to grow sales volume through similar channels … these channels give each of you great data on very similar customers, improving your forecasts while driving common customer segmentations 2014 John Boddie 10
  • 12. Obtaining data from similar channels, the major players in your space begin to cluster consumers in similar ways Secure comm 8% Gold Farming in MMORPGS 2% 1GH to 250GH 17% below1GH 2% Over 1TH 1% USB Stick 9% Home Hardware 25% Currency Mining 90% Hosted Hardware 34% Cloud Based 12% 250 to 500 GH 80% You need to grow quickly to carve out lasting positions in these rich markets 2014 John Boddie 11
  • 13. In order to gain more money for expansion, you grow your investor pool We have 35% of this market We expect 20% sector growth this year and we are releasing 3 new products that should capture an additional 10% of the sector… …so, given our margins, investors should see 5% to 6% profit growth over the last quarter Investors love your projection-friendly market cycle 2014 John Boddie 12
  • 14. Over time, your market saturates and it becomes more expensive to reach new customers 2014 John Boddie 13
  • 15. But you’ve been able to entice your core customers with improved products, allowing you to maintain profitability… Faster Can be run in parallel Cloud management software You remain innovative but you’ve started to focus on improvements rather than new product lines 2014 John Boddie 14
  • 16. At some point a competitor will start invading your customer base by driving down prices. Pricing for new features begins to flatten out quickly while old features are commoditized 250 to 500 GH/Second 2010 USD 4,000 Hosting services Exclusive mining pools 250 to 500 TH/ second and low power 2012 USD 1,000 Solve for all 10 established currencies Manage Derivatives Banking services 2020 USD 500 2025 USD 200-400 Adapted from http://www.marketingtechblog.com/history-mobile-phone-cost/ 2014 John Boddie 15
  • 17. At the same time… Sales peak in accepted consumer segments, making it even harder to find “new growth” customers Cryptocurrency mining service subscriptions per 1000 people 2014-2023 2014 2015 2014 John Boddie 2016 2017 2018 2019 2020 2021 2022 2023 16
  • 18. Despite these challenges, investors expect consistent quarterly earnings forecasts 2014 John Boddie 17
  • 19. It starts to look tough when things were finally supposed to become easy You start to worry 2014 John Boddie 18
  • 20. You start to look for growth within the existing market rather than outside I need to lower prices I need to take customers from the competition Lower production costs! Remove low margin products and standardize components Create internal cost savings initiatives for production managers Enter large volume contracts at better prices with bigger supply chain partners 2014 John Boddie 19
  • 21. You might improve profitability by reducing overhead costs Combine jobs and reduce headcount. Focus on terminating underperformers I need to reduce my overhead costs Let’s identify pipeline products that really help the bottom line and shelve those that don’t promise good returns Set higher productivity metrics for my departments and pressure managers to succeed 2014 John Boddie 20
  • 22. Sales and distribution may also contribute Who is the best at selling my high-margin goods? I should focus on developing better deals with my top 5 distribution and sales partners….. Who has the best geographic reach? Who is offering the best customer incentive programs? Who will help me I reduce my service costs? Who offers the best data? 2014 John Boddie 21
  • 23. Whew! After some struggle, you’re able to confidently project quarter-to-quarter earnings growth You are able to meet your targets You have some great core product variations in your pipeline… you are innovative You might be able to do this for years But there is a small, low end company on the horizon 2014 John Boddie 22
  • 24. A (Hypothetical) large-scale, distributed computing approach to cryptocurrency mining. Uses mobile phone processors. No separate hardware component. Users get fractions of mined currency. 2014 John Boddie 23
  • 25. At first... Nope, too busy engineering this new processor Hey, have any of you heard about bitcrowd? I’ll ask our marketing partners Yeah, but I wouldn’t take distributed computing too seriously. You can’t do much with it. Software, not hardware. Not my problem. 2014 John Boddie 24
  • 26. Then... Hey, bitcrowd has over 1 m users We don’t know mobile phones. You’d need to give us $$ for a new team. We are making a ton of money from our new services software. I can’t afford to lose focus Yeah, but that 1m would never be our customers anyway I’m going all out here. I’d need a command from the top to shift resources 2014 John Boddie 25
  • 27. Eventually... We really need to kill bitcrowd.. We have specs from software. We can do the chips and get them into production in the next year Our software team has put together something similar called Bitsource. Given Bitcrowd’s apparent market we should make a kajillion dollars. I will press our channel partners to push it once it is ready to go We have a mobile phone partner who may be willing to install the chips 2014 John Boddie 26
  • 28. We needed to spend extra time debugging our next gen platform. We lowered our projections for the mobile phone chip volumes anyway so this was the correct approach. Finally... The software was good but marketing couldn’t design a user friendly interface that attracted customers I told our investors that we’d win this. What happened? Don’t blame us. It tested well with our current customers. Our channel partners hate it anyway. I couldn’t get them to prioritize production of the new mobile phones 2014 John Boddie 27
  • 29. It seems that the drive to grow within a mature market often comes with a cost Remove low margin products and standardize components The company sets a new, higher bar for product margins, making it more difficult to experiment with products that don’t project great returns Enter large volume contracts at better prices with bigger supply chain partners It becomes harder to set up small product test runs and large scale suppliers may be less able to help with custom work. Create internal cost savings initiatives for production managers 2014 John Boddie Managers may respond by pressuring staff members to focus solely on products that support the current bottom line. There will be less time for experimentation. 28
  • 30. Combine jobs and reduce headcount. Focus on terminating underperformers Identify pipeline products that really help the bottom line and shelve those that don’t promise good returns Set higher productivity metrics for my departments and pressure managers to succeed 2014 John Boddie Average workloads rise and employees have less time to experiment with new ideas. Employees that do try new things need to create outsized justifications for side work, setting impossible benchmarks for side projects. This favors products with the best, most airtight market data (i.e., those in existing markets). Managers inflate returns beyond all reason in order to preserve projects, raising the risk that they will be killed prematurely. Managers will resist any new initiatives that might risk their KPI’s; understanding that it is safer to promote similar products using known suppliers through proven sales and distribution channels. 29
  • 31. Who is the best at selling my high-margin goods? These partners may be far less willing to sell a mix of goods or experiment with lower-margin goods Who has the best geographic reach? Who will help me I reduce my service costs? These partners may offer great prices and incentives but may make aftermarket service problematic, alienating customers that were best served by older (essentially de-featured) product models. Who is offering the best customer incentive programs? Who offers the best data? 2014 John Boddie Even if you get the best, most airtight data for existing products, this data is often only useful for similar/ next square products. The quality of the data, however, may increase the perceived risk of the unknown. 30
  • 32. To Summarize So Far… After a period of often desperate competition, a few small companies will finally figure out how to profitably bring a new good or service to a new customer base, opening a new market These few companies will grow rapidly, often pursuing customers through similar channels. Data from these channels drives common, highly-trusted, customer segmentations Companies grow their investor base in order to expand their reach. Investors love the steady sales growth and the profits Eventually the market will mature. New growth will slow and pricing will flatten, leading companies to compete for an increased share of existing customers This struggle to preserve profit growth within a mature market will drive increased focus on efficiency, reducing the flexibility and responsiveness required for out of category competition 2014 John Boddie These companies become more vulnerable to disruption 31
  • 33. Companies remain innovative, but much of this innovation focuses on variations around a core product line Total Sales Volume Time 2014 John Boddie 32
  • 34. Many of the improvements boil down to better data, better margins, better efficiency The need for better market projections Profitability pressures raise new product risks Favors well defined markets Drives a focus on value Favoring batter market projects and lower costs And makes it hard to see emerging customer segments 2014 John Boddie Competition for existing customers Forcing companies to preserve profits by reducing internal costs Leading companies to double down on existing product lines 33
  • 35. This cycle feels inescapable, a bit like the product lifecycle Sales Volume Development Growth Maturity Decline Levitt’s Product Lifecycle Time 2014 John Boddie 34
  • 36. It is worth thinking about an innovation lifecycle that leads a product lifecycle High Resources allocated to innovation work that can impact the trajectory of a firm Development Targeted Innovation In-Category Innovation Stagnation Low Time 2014 John Boddie 35
  • 37. Companies are often highly innovative when developing new products for new markets Development • Innovation work speeds up after the company is able to get money • Actively searching for customers • Profitability is enough- willing to live with low margins • Products are refined continually in order to find the best possible customer fit • The company is small so it behaves like one big team with constant communication Time 2014 John Boddie 36
  • 38. They can do their best work once a direction is established Targeted Innovation • The company knows it’s customers and how to reach them • Innovations are increasingly focused on performance breakthroughs that make life easier for these customers • The company is larger and decisions are more formalized. This often free engineers and market testers to do their best work Time 2014 John Boddie 37
  • 39. Eventually the desire for low risk, profitable goods and services drives a company to focus on “variations on a theme” In-Category Innovation • Market projections are overweighted, favoring existing customer data • The company is big and investors expect returns • It becomes safer to release differentiated core products than to investigate fundamentally new product lines • Engineers adopt incategory tech breakthroughs quickly Time 2014 John Boddie 38
  • 40. Eventually the company focuses on cutting costs while struggling to respond to new market pressures • Sales volumes and profits begin to drop • Underserved customers and finding substitute goods that offer a better fit • Innovation increasingly focuses on cost reductions Stagnation Time 2014 John Boddie 39
  • 41. Companies can remain profitable even while losing the ability to drive non-core innovations Are there any metrics to suggest that a company is on the far side of the innovation lifecycle? 2014 John Boddie 40
  • 42. What have we surmised so far? Common customer segmentations This is a bit tricky to quantify. For consumer goods, check to see whether Amazon et al have distich product categories. For more opaque items, check industry surveys. A Mature Market Again, this requires a bit of judgment. Is the majority of the market held by a handful of major competitors?, Are each of the competitors making similar breakthroughs and offering similar new features on their flagship products? Does pricing seem to flatten out? Is geographic growth slowing? Price pressure/ Rapid Commoditization Internally, companies may try to standardize new product features as quickly as possible, making the COGS appear to spike with each product release and then fall. Similarly, Gross Profit margins may spike then fall. A drive toward efficiency to preserve profits Revenue per employee may rise as headcounts are trimmed and efficiency drives are launched. Similarly, the operating margins should rise. Erstwhile happy investors Stock prices should remain steady or rise. 2014 John Boddie 41
  • 43. A warning and a reminder This presentation talks about conditions that may leave companies within a sector open for disruption. This does not mean that these companies will invariably be disrupted These are only theories, drawn from common observations about problems that face companies in mature markets. As we will see on the next pages, associated key financial measurements are problematic at best. Every company deals with challenges using its own mix of approaches. In larger companies, weakness in a product line may be entirely hidden. Even if metrics are refined and a more exacting approach evolves, guidance will never reach beyond “it’s time to pay attention to small, emerging companies in a space.” Anyone who buys or sells stock or options based solely on the listed metrics is an idiot 2014 John Boddie 42
  • 44. Sample Troublesome Data Some potential problems: 1) Data prior to 1995 can be difficult to obtain. Remove low margin products and standardize components Operating Margins Rise Create internal cost savings initiatives for production managers Set higher productivity metrics for my departments and pressure managers to succeed Combine jobs and reduce headcount. Focus on terminating underperformers 2014 John Boddie Revenue per employee rises 2) It may be difficult to separate a natural growth in revenue per employee (the result of common technological advances) from revenue growth driven by cost cutting measures. 3) Large companies have a variety of products across several divisions. Data within a particular product division is normally unavailable. It may be hard to detect changes within a particular product division at a large company. 4) Mature markets often undergo a round of M&A, making it more difficult to track individual company performance 43
  • 45. Example: Mahindra enters the US tractor market in 1994 and is 4th largest mfr. by 2005 Ford 7810- 6 cyl, 90 hp, 81 L fuel tank John Deere 6900- 6 cyl, 130 hp, 264 cm wheelbase, 5391 kg, 250 L fuel tank New Holland 9880- 6 cyl, 400 hp In 1994, Mahindra launched M&M USA with a 45HP consumer grade tractor. We are interested in the tractor market between 1990 and 1998 or so, when companies finally began responding to pressure in the consumer segment. Mahindra 575- 4 cyl, 45 hp, 194 cm wheelbase, 1876 kg, 35 L fuel tank. 2014 John Boddie 44
  • 46. Let’s look at the tractor market in the US in the 1990s Was the majority of the market held by a handful of major competitors in 1990 to 1995? Were each of the competitors making similar breakthroughs and approaching similar customers with similar new features? Did pricing seem to flatten out? Was geographic growth slowing? 2014 John Boddie Highly fragmented (150 companies) but fewer than 10 owned 80% of the market Most of the market targeted big farms, innovations focused on horsepower, cab comfort, electronics Old features were quickly commoditized. Companies seemed to price in similar horsepower bands Strong round of M&A in India, China etc. in the 1990’s, suggesting maturing overseas markets 45
  • 47. Competitors focused on in-category innovation while losing consumer market share Mahindra vs John Deere new product launches by horsepower 1992-1998 HP High Power Tractor Segment Consumer Tractor Segment 2014 John Boddie 46
  • 48. In 2004, John Deere overhauled their marketing department in order to fight for the consumer sector [1] They were developing products and then trying to find consumers John Deere’s marketing director identified 3 interesting problems They were basing market research on current customers rather than potential customers They were hiring too many people internally, failing to diversify their talent base [1] marketingsherpa.com. Jan 19th 2004 How John Deere Increased Mass Consumer Market Share by Revamping its Market Research Tactics 2014 John Boddie 47
  • 49. AGCO (purchased Massey Ferguson in 1995), and John Deere COGS and Gross Profit Margins* 1992 to 1999 Gross Profit Margins and COGS were cyclic, suggesting price pressure and commoditization of new tractor features. *charts generated by Ycharts, Data unavailable for Harvester, Case, Moline, Oliver, Allis Chambers. Tractor breakout unavailable for Ford. 2014 John Boddie 48
  • 50. AGCO and John Deere Rev/Employee and Operating Margins 1992 to 1999 Revenue per employee rises for Deere but remains flat for ACGO. Operating margins seem cyclic, within a rough 7% variation 2014 John Boddie 49
  • 51. AGCO and John Deere Stock prices 1992 to 1999 Investors seem happy with Deere and AGCO until 2H 1998 2014 John Boddie 50
  • 52. So, was it helpful? The Good John Deere showed the cyclic COGS and Gross Profit margins that we’d expect in a mature market where new products are rapidly commoditized. They also showed rising revenue per employee, which suggests that operations were being streamlined and becoming more efficient. Last, investors, as is their wont, seemed to love both Deere and AGCO until 1998, when they suddenly pulled away. The Bad The case is much less clear with AGCO. COGS seems cyclic but muted while gross profit margins seem to hover around 20%. Revenue per employee falls after 1995 while operating margins for both Deere and AGCO seem to hover between 8% and 15% Conclusion COGS and Revenue per employee seem to be modestly promising indicators. Operating margins and gross margins seem to be less useful 2014 John Boddie 51
  • 53. Example: The mobile phone market looks mature There are only a handful of major competitors? AAPL, SSNLF, Motorola (Stock info for HTC, LG unavailable) Are each of the competitors making similar breakthroughs and offering similar new features on their flagship products? 4G LTE, better screens, more memory, faster processors Does pricing seem to flatten out? Old features are quickly commoditized. Companies seem to price in similar bands Is geographic growth slowing? Penetration is slowing in most countries though many consumers are purchasing better and better phones 2014 John Boddie 52
  • 54. AAPL, SNSFL, SNE, MSI: COGS and Gross Profit Margins June 2007 to present Gross Profit Margins and COGS are cyclic, suggesting price pressure and commoditization of new mobile phone features. *charts generated by Ycharts, Data unavailable for Harvester, Case, Moline, Oliver, Allis Chambers. Tractor breakout unavailable for Ford. 2014 John Boddie 53
  • 55. AAPL, SNSFL, SNE, MSI: Rev/Employee and Operating Margins June 2007 to Present Revenue per employee has risen annually for Apple and Samsung but has remained steady for Sony and Motorola At the same time, operating margins have shown a slight climb for Apple, Samsung and Motorola over the last two years while remaining steady for Sony 2014 John Boddie 54
  • 56. AAPL, SNSFL, SNE, MSI: Stock Price June 27 to present Apple and Samsung electronics have both done very well, while Sony and Motorola have remained relatively flat 2014 John Boddie 55
  • 57. So, is this useful The Good AAPL, MSI and SSNLF data seems to suggest that the phone market has matured and that new features are being commoditized. All three have also become slightly more efficient since 2011, suggesting that they may be losing some flexibility. The Bad Three of the four companies are very large, with multiple product lines. It is difficult to attribute any change in key data to maturation of the mobile handset market. Conclusion Again, it seems as if companies in mobile handsets are facing commoditization pressure. It is hard to tell whether they are trying to support profits by becoming more efficient. They may do this in 2014 given the apparent downside risk of a missed profit forecast. 2014 John Boddie 56
  • 58. Next steps More research. Additional key metrics should be tested on markets where disruptive product trajectories have injured one or more major players. Better data. Baseline growth in revenue per employee should be separated out. It is worth looking at data within a particular division or product line (if possible). Test the idea of a bellwether company. It appears that Deere and Apple may rely enough on their core product categories (tractors and phones) to act as effective signals that a market is suitably mature and that company (or divisions) within a market may not be able to address disruptive entrants. Move beyond disruption. By characterizing the innovation cycle and winnowing out the nest associated metrics, it may be possible to give companies the tools needed to explain forays into new markets and lowermargin products despite enjoying record profits from established customers. 2014 John Boddie 57