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Mastering CRM Analytics
Email & CRM Marketing Meetup
October 11, 2018
SmartData.MarketingExpertise.Connected
Sharing some of my go-to’s
when it comes to CRM analytics
SmartData.MarketingExpertise.Connected
4
Why
What
When
5
EFFECTIVENESS
ENGAGEMENT EFFICIENCY
BUSINESS
KPIs
DIAGNOSTIC
METRICS
CHANNEL
METRICS
Market Share
Revenue Growth
Sales Growth
ROI/ROMI
Churn Reduction
Net Promoter Score
Repeat Purchase
Adherence
Customer Lifetime Value (CLV)
Customer satisfaction score
Cost per sale
Cost per leadCost per response
Traffc Sources
Keyword Performance
Engagement duration
First call resolution
Lead conversion
Basket composition
Site visit
Bounce rate
Call Volume
Open Rate
Click-through-rate
Sentiment
# Followers
Reach
# Opt-in
Page per visit
Time on site
Call disposition
Agent quality score
OPTIMIZATION
OPTIMIZATION
OPTIMIZATION
Analysis Purposes
Understand why you are doing
the analysis is key to getting
meaningful outcome.
5
6
SEMI-ANNUAL /
ANNUAL
Review channel performance and category
research for roadmap planning
MONTHLY /
QUARTERLY
Deep dive into specifc program areas for
ongoing optimization
WEEKLY /
MONTHLY
Track KPI and diagnostic metrics from
multiple sources for short-term adjustments
POST LAUNCH
Monitor results of new initiatives to ensure
they function as required QUALITY CONTROL
INITIATIVE PLANNING
BUSINESS PLANNING
Analysis Frequency
Templated
Ad hoc
7
Prototype
8
Quick
Prototypes
With features e.g. Google
Analytics and API integration,
prototypes can be built easily
in tools like Google Sheets,
Excel.
9
Integrated
Measurements
Reports showing results
across channels can provide
richer context to CRM
performance.
10
Audience
Preferences
Mockups and prototypes are easy ways to gauge if your
audience fnds it easy to consume the information presented.
Some may prefer no graphical visualization at all!
11
Reporting
Architecture
A centralized data mart may be useful
when:
●
Data / tactics don’t change frequently
●
Team managing the data mart can
react quickly to change
●
Resources are available to maintain
and QA data
It often is a hybrid.
sources Reports
Data martsources Reports
vs
12
Visualize
...
Or Not
13
Niche Engaging
Noise Open Bait
Open Rate
Click-to-OpenorClickthroughRate
Benchmark or past performance
Email Insights
MapTM
This grid is my favourite
diagnostic tool for email
performance.
14
Niche Engaging
Noise Open Bait
Open Rate
Click-to-OpenorClickthroughRate
Benchmark or past performance
Email Insights
MapTM
The 2x2 provides an easy way
to spot any trends by type of
campaign.
Campaigns can be grouped by
any features – ofers,
language, segments, ... that
are coded using colours and
shapes.
15
Contest
No Contest
+15% likely
-5% likely
Likelihood Of Contest Segment To Further Engage
Beware of
complex visuals
However, most audience
prefer a simpler
interpretation of the results
vs the raw diagnostics.
16
Benchmark
17
Benchmark
DistilleryTM
Developed in conjunction with RI,
this methodology collects and
distills benchmarks from diferent
sources to produces the most
applicable benchmark for
comparison.
Benchmarks
Benchmarks
Benchmarks
Benchmarks
Most applicable benchmarks
18
Benchmark DistilleryTM
Find diferent benchmarks based on industry, batch vs triggered
email, content of emails, geography, target audience, etc.
BATCH EMAILS – INFORMATIONAL
Min Most Applicable Max
Unique Open Rate 8.0% 24.0% 35.3%
Unique Clickthrough Rate 1.1% 3.7% 11.1%
Source Get Response Global Industry Benchmarks –
Retail
BATCH EMAILS – ECOMMERCE
Min Most Applicable Max
Unique Open Rate 8.0% 33.1% 35.3%
Unique Clickthrough Rate 1.1% 3.2% 11.1%
Source Epsilon 2017 Q1 Specialty Retail – Broadcast
19
Open Rate
0%
5%
10%
15%
20%
25%
Maximum across
benchmarks
Minimum across
benchmarks
Most applicable
across benchmarks
Benchmark
DistilleryTM
Can compare results against:
●
“most applicable”; or
●
min/max range
Ultimately, the most
important is to improve
against our previous!
20
Connect
The
Dots
21
Link Email To
Other Sources
Getting data to track in the
appropriate system can be
complex.
Beware of on-going operational
impact to campaign setup.
Embed tracking codes in link to pass
information to websites
http://example.com/page/?
cmp=brand:promo:source:email:link:type&
utm_source=brand&utm_medium=email&
utm_campaign=campaign&utm_content=link
Embed tracking codes in link to pass
information to websites
http://example.com/page/?
cmp=brand:promo:source:email:link:type&
utm_source=brand&utm_medium=email&
utm_campaign=campaign&utm_content=link
Embed image pixel to pass information to
external servers e.g. Litmus, ad servers, DMP
<img src=...>
Embed image pixel to pass information to
external servers e.g. Litmus, ad servers, DMP
<img src=...>
Embed additional data for ESP
<a href=”link” _label=”Top_CTA”>
Embed additional data for ESP
<a href=”link” _label=”Top_CTA”>
22
Always Remember GIGO!
23
Insights
Vs
Action
24
Actionable
Insights
Interesting facts don’t always
equate to actionable
optimization.
Interesting Facts Actionable Insights
Those who haven’t interacted
with any emails in 8 weeks
won’t interact with us at all.
●
Reduce / stop emails to
reduce CPM.
●
Switch users to re-
engagement stream.
●
Experiment with
content in frst 8 weeks
to gauge interest.
25
Actionable
Insights
And never forget to keep
asking WHY?
Interesting Facts Actionable Insights
Regardless of recency of
purchase, users are equally
engaged with new product
launch information.
●
Continue sending new
product launch
announcement to all
users.
●
What does
“engagement” mean?
26
Automated
Measures
27
All A/B test
vs
Seg A A/B test
Seg B A/B test
Automated
A/B Tests
When you use automated A/B
test feature, consider how
variables that can afect the
test results can be taken into
consideration by the
automation system.
28
Email A Email B
Continue
Drip Campaign
A/B Tests
A/B tests can be incorporated as part
of the design of drip campaigns.
This is especially useful when
audience size is small.
29
Winning
Version
Winning
Version
Continue
Drip Campaign
A/B Tests
All test streams can use the same
winning version when test is not
being run. This preserves the
mechanism to launch new tests
quickly.
30
Old Dog
New Tricks
31
Accessible
Analytics
Open source analytics platforms e.g. R & Python, and cheap
computing power, makes it possible to do more advanced analysis
on your laptop for free.
Have a favourite CRM analytics tip?
Let’s connect: margaret.ngai@connector42.com | @letsfika
SmartData.MarketingExpertise.Connected

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Mastering CRM Analytics

  • 1. Mastering CRM Analytics Email & CRM Marketing Meetup October 11, 2018 SmartData.MarketingExpertise.Connected
  • 2. Sharing some of my go-to’s when it comes to CRM analytics SmartData.MarketingExpertise.Connected
  • 4. 5 EFFECTIVENESS ENGAGEMENT EFFICIENCY BUSINESS KPIs DIAGNOSTIC METRICS CHANNEL METRICS Market Share Revenue Growth Sales Growth ROI/ROMI Churn Reduction Net Promoter Score Repeat Purchase Adherence Customer Lifetime Value (CLV) Customer satisfaction score Cost per sale Cost per leadCost per response Traffc Sources Keyword Performance Engagement duration First call resolution Lead conversion Basket composition Site visit Bounce rate Call Volume Open Rate Click-through-rate Sentiment # Followers Reach # Opt-in Page per visit Time on site Call disposition Agent quality score OPTIMIZATION OPTIMIZATION OPTIMIZATION Analysis Purposes Understand why you are doing the analysis is key to getting meaningful outcome. 5
  • 5. 6 SEMI-ANNUAL / ANNUAL Review channel performance and category research for roadmap planning MONTHLY / QUARTERLY Deep dive into specifc program areas for ongoing optimization WEEKLY / MONTHLY Track KPI and diagnostic metrics from multiple sources for short-term adjustments POST LAUNCH Monitor results of new initiatives to ensure they function as required QUALITY CONTROL INITIATIVE PLANNING BUSINESS PLANNING Analysis Frequency Templated Ad hoc
  • 7. 8 Quick Prototypes With features e.g. Google Analytics and API integration, prototypes can be built easily in tools like Google Sheets, Excel.
  • 8. 9 Integrated Measurements Reports showing results across channels can provide richer context to CRM performance.
  • 9. 10 Audience Preferences Mockups and prototypes are easy ways to gauge if your audience fnds it easy to consume the information presented. Some may prefer no graphical visualization at all!
  • 10. 11 Reporting Architecture A centralized data mart may be useful when: ● Data / tactics don’t change frequently ● Team managing the data mart can react quickly to change ● Resources are available to maintain and QA data It often is a hybrid. sources Reports Data martsources Reports vs
  • 12. 13 Niche Engaging Noise Open Bait Open Rate Click-to-OpenorClickthroughRate Benchmark or past performance Email Insights MapTM This grid is my favourite diagnostic tool for email performance.
  • 13. 14 Niche Engaging Noise Open Bait Open Rate Click-to-OpenorClickthroughRate Benchmark or past performance Email Insights MapTM The 2x2 provides an easy way to spot any trends by type of campaign. Campaigns can be grouped by any features – ofers, language, segments, ... that are coded using colours and shapes.
  • 14. 15 Contest No Contest +15% likely -5% likely Likelihood Of Contest Segment To Further Engage Beware of complex visuals However, most audience prefer a simpler interpretation of the results vs the raw diagnostics.
  • 16. 17 Benchmark DistilleryTM Developed in conjunction with RI, this methodology collects and distills benchmarks from diferent sources to produces the most applicable benchmark for comparison. Benchmarks Benchmarks Benchmarks Benchmarks Most applicable benchmarks
  • 17. 18 Benchmark DistilleryTM Find diferent benchmarks based on industry, batch vs triggered email, content of emails, geography, target audience, etc. BATCH EMAILS – INFORMATIONAL Min Most Applicable Max Unique Open Rate 8.0% 24.0% 35.3% Unique Clickthrough Rate 1.1% 3.7% 11.1% Source Get Response Global Industry Benchmarks – Retail BATCH EMAILS – ECOMMERCE Min Most Applicable Max Unique Open Rate 8.0% 33.1% 35.3% Unique Clickthrough Rate 1.1% 3.2% 11.1% Source Epsilon 2017 Q1 Specialty Retail – Broadcast
  • 18. 19 Open Rate 0% 5% 10% 15% 20% 25% Maximum across benchmarks Minimum across benchmarks Most applicable across benchmarks Benchmark DistilleryTM Can compare results against: ● “most applicable”; or ● min/max range Ultimately, the most important is to improve against our previous!
  • 20. 21 Link Email To Other Sources Getting data to track in the appropriate system can be complex. Beware of on-going operational impact to campaign setup. Embed tracking codes in link to pass information to websites http://example.com/page/? cmp=brand:promo:source:email:link:type& utm_source=brand&utm_medium=email& utm_campaign=campaign&utm_content=link Embed tracking codes in link to pass information to websites http://example.com/page/? cmp=brand:promo:source:email:link:type& utm_source=brand&utm_medium=email& utm_campaign=campaign&utm_content=link Embed image pixel to pass information to external servers e.g. Litmus, ad servers, DMP <img src=...> Embed image pixel to pass information to external servers e.g. Litmus, ad servers, DMP <img src=...> Embed additional data for ESP <a href=”link” _label=”Top_CTA”> Embed additional data for ESP <a href=”link” _label=”Top_CTA”>
  • 23. 24 Actionable Insights Interesting facts don’t always equate to actionable optimization. Interesting Facts Actionable Insights Those who haven’t interacted with any emails in 8 weeks won’t interact with us at all. ● Reduce / stop emails to reduce CPM. ● Switch users to re- engagement stream. ● Experiment with content in frst 8 weeks to gauge interest.
  • 24. 25 Actionable Insights And never forget to keep asking WHY? Interesting Facts Actionable Insights Regardless of recency of purchase, users are equally engaged with new product launch information. ● Continue sending new product launch announcement to all users. ● What does “engagement” mean?
  • 26. 27 All A/B test vs Seg A A/B test Seg B A/B test Automated A/B Tests When you use automated A/B test feature, consider how variables that can afect the test results can be taken into consideration by the automation system.
  • 27. 28 Email A Email B Continue Drip Campaign A/B Tests A/B tests can be incorporated as part of the design of drip campaigns. This is especially useful when audience size is small.
  • 28. 29 Winning Version Winning Version Continue Drip Campaign A/B Tests All test streams can use the same winning version when test is not being run. This preserves the mechanism to launch new tests quickly.
  • 30. 31 Accessible Analytics Open source analytics platforms e.g. R & Python, and cheap computing power, makes it possible to do more advanced analysis on your laptop for free.
  • 31. Have a favourite CRM analytics tip? Let’s connect: margaret.ngai@connector42.com | @letsfika SmartData.MarketingExpertise.Connected