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Dawn of the Data Age Lecture Series
Interpreting Data Like a Pro
Hi. I’m Luciano Pesci, Phd …
Founder & CEO, EMPERITAS
● Team of economists and data scientists delivering bi-weekly Customer Lifetime Value
intelligence so our clients can beat their competitors for the best customers.
Founder & Director, Utah Community Research Group, Univ. of Utah
● Teach microeconomics, data science, applied research, & American economic history.
2
Today’s Lecture Outline
● Teach the benefits of mapping customer touchpoints.
● Show a touchpoint map using the customer journey.
● Explain how to start mapping your customer touchpoints.
3
4Benefits of Touchpoint Mapping
Single Touchpoint Utopia
● Amazon Dash reduces the touchpoint for
buying to a single push of the button.
● Amazon’s patent on one-click buying just
expired but it won’t hurt their growth.
○ Always been a customer experience focused
company (one-click patent was filed in 1999).
5
*Amazon’s One-Click Patent Expires: goo.gl/eDaQKw
Fluidity Warning
6
● Terminology is imprecise - touchpoints,
journeys, lifecycle, channels, personas, profiles, ...
● Developed within different departmental silos:
■ Marketing
■ Product UX
■ Customer Experience
Defining Touchpoints
● “Before, during, and after a purchase.”*
○ Physical or digital, # of touchpoints increasing.
● Touchpoints should be discovered while
journeys are mapped (iterative process).
○ They are mostly microinteractions.
7
*Survey Monkey’s Definition of touchpoints: goo.gl/8WcqQQ
Unsucking The Touchpoints*
● The most useful touchpoints, and the ones
you should examine first, are always:
○ Appropriate - “context + culture”
○ Relevant - “meeting needs/functional”
○ Meaningful - “importance/purpose”
○ Endearing - “subtle, playful, creating delight”
● Touchpoint data needs to flow freely.
8
*Unsucking The Touchpoints: goo.gl/3eYcsv
Customer Journeys
9
● It’s a framework for understanding stages of the
process from before they’re a customer till churn.
○ You can follow customers beyond churn, but don’t stalk.
● The journey’s level of precision depends on
how detailed your customer profiles are
and the customer data that’s available.*
*Creating Data-Driven Customer Profiles: goo.gl/o1v972
The Need To Know
● Today customers have more touchpoints than
ever with brands (there’s more data now too).
○ Partly result of rising volume of business.
○ Partly result of specialization within organization.
● A single bad experience can churn a customer.*
○ 9 out of 10 B2C from a bad experience.
○ 7 out of 10 B2B from a bad experience.
10
*How Touchpoint Mapping Works: goo.gl/ynm9Yt
CX Depends On It
11
● 1 in 26 voice a complaint about a bad experience.*
○ Most problems are avoidable with the right insight driven action.
● Customer satisfaction is still the main driver of
word-of-mouth growth & for reducing churn.
○ A 5% increase in retention can lead to a 75%
increase in profitability (not revenue, but PROFIT).*
*Evolution of Customer Service Metrics: goo.gl/MeciPw
Benefits Of Knowing Your Touchpoints
● It’s what innovative companies are doing
right now to beat their competitors.
● It reduces churn & increases lifetime value.
● It provides actionable insights for everyone
in your company by utilizing your data.
12
Another Way To Look At It
● The bar is being set by all customer experiences,
not just those within your own industry.
● More details about this emerging pattern
are laid out in my recent article.*
13
*Data-Differentiating Your CX Strategy: goo.gl/VHfAZx
14Touchpoints & Journey Mapping
Customer’s Shoes
● The most important step in mapping
touchpoints across the customer journey is
understanding the customer’s perspective.
○ Internal audits are insufficient, but they are necessary.
● This should be your main focus and you should
learn: Goals, Needs, Barriers, & Expectations.
15
Beyond Your Control
16
● Some of the touchpoints you have with
customers are beyond your view or reach.
○ Word-of-mouth is one example - you can’t hear
every conversation involving your brand.*
● This means you should leverage as much of
the information you do have visibility of.
*Some Apps Were Listening To You: goo.gl/ndNY4z
Visually Un-Optional
● There are many touchpoints for all possible
journeys. This creates lots of permutations.
○ Use personas to group permutations.
○ Make order from the chaos with visualizations.
● Overwhelming majority of people are visual
learners, and it’s (probably) a much faster
way of sharing the journey & touchpoints.*
17
*The 60,000 Fallacy: goo.gl/xFKA9Z
Touchpoint Map Example*
18
*Touchpoint Matrix: brandtouchpointmatrix.com
Touchpoint Map Example*
19
*Ecommerce Journey Map: goo.gl/M3vtou
Touchpoint Map Example*
20
*Journey Decision Pathways: goo.gl/kUVVru
21Start Mapping the Journey
Inventory 2-Step
22
● Touchpoint Inventory - starts broad as a list
but ends with specific KPIs, a DRI and visuals.
● Includes a data audit & exploratory data
analysis (EDA) to identify KPIs worth tracking.
○ This is an internal process, and can’t be skipped.
DRIs & Biz Purpose
● You need to identify directly responsible
individuals (DRIs) for every touchpoint.
● You should also make a list of the purpose
for every touchpoint visible to your team.
23
*What Is a Customer Touchpoint & Map: goo.gl/gfAV5V
Breaking Down Silos
● Your data needs a central environment
with clear governance & user management.
○ It can start with loose rules, but nothing will scale
until this environment works for all stakeholders.
● Typical Silos: Marketing, Sales/Finance,
Product/Ops, Customer Experience, IT, ...
24
Relationship Status Matters
25
● What stage are they in their customer journey?
○ Where are you in your product life cycle?*
● Requires different approaches because of the
varying data available over the entire journey.
*Product Lifecycle: hbr.org/1965/11/exploit-the-product-life-cycle
Identifying The Right KPIs
26
● CSAT and NPS are not the whole picture.
○ Sentiment analysis requires unstructured data
but offers deeper insight than survey scales.
● You’ll have massive amounts of data for
each touchpoint, so you have to figure out
which metrics matter. EDA does this.
High-Level Leap Of Faith
27
● This is a new problem for most companies,
but the benefits of having a better customer
experience than competitors are huge.
● Ease into it with high-level exercises.
○ Brand Touchpoint Matrix is a great place to start.*
*Brand Touchpoint Matrix: brandtouchpointmatrix.com
Ending In The Data Weeds
● Your customer journey map needs to get
more precise every day across touchpoints.
● Inventory of all touchpoints with DRIs,
business purpose, KPIs, and their trends
needs to be fully mapped & visualized.
28
GOAL #1 = Reduce Friction
● Should be trying to minimize the total
number of touchpoints with customers.
● Amazon Dash is the perfect example.
○ Built on amazing data (so much data they started
selling their MARGINAL server space as AWS)*
■ $17.5BN in revenue in 2017.
29
*History of AWS: goo.gl/gLU7kG
GOAL #2 = Personalize
● Personalization constantly ranks as a major
component of good customer experience.
● This requires a lot of data, good predictive
models & testing/validating.
○ Should be done before any personalization
program is released into the wild.
30
GOAL #3 = Know CLV
● All touchpoints should be optimized for
providing a profitable product.
● Customer Lifetime Value (CLV) ensures
actions at all touchpoints are profitable.
○ Because it shows you how to provide real value.
31
32What We Covered Today
What We Covered Today...
● The benefits of mapping touchpoints.
● A touchpoint map and the customer journey.
● How to start mapping touchpoints.
33
34Required Reading
You Should Read - [Evolution of Customer Service Metrics]*
Authored by Brad Birnbaum, CEO of Kustomer.
Cliff Notes: methods of customer service are outdated and
need to evolve with the rapidly changing market. Data,
especially about lifetime value, is critical to success but
any information you get will be partial and requires very
careful interpretation following deep analytics (like NLP).
35
*Evolution of Customer Service Metrics: goo.gl/MeciPw
36At The Next Lecture...
Thursday May 24th, 2018
emperitas.com/lecture

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Data Mapping Customer Touchpoints - Dawn of the Data Age Lecture Series

  • 1. Dawn of the Data Age Lecture Series Interpreting Data Like a Pro
  • 2. Hi. I’m Luciano Pesci, Phd … Founder & CEO, EMPERITAS ● Team of economists and data scientists delivering bi-weekly Customer Lifetime Value intelligence so our clients can beat their competitors for the best customers. Founder & Director, Utah Community Research Group, Univ. of Utah ● Teach microeconomics, data science, applied research, & American economic history. 2
  • 3. Today’s Lecture Outline ● Teach the benefits of mapping customer touchpoints. ● Show a touchpoint map using the customer journey. ● Explain how to start mapping your customer touchpoints. 3
  • 5. Single Touchpoint Utopia ● Amazon Dash reduces the touchpoint for buying to a single push of the button. ● Amazon’s patent on one-click buying just expired but it won’t hurt their growth. ○ Always been a customer experience focused company (one-click patent was filed in 1999). 5 *Amazon’s One-Click Patent Expires: goo.gl/eDaQKw
  • 6. Fluidity Warning 6 ● Terminology is imprecise - touchpoints, journeys, lifecycle, channels, personas, profiles, ... ● Developed within different departmental silos: ■ Marketing ■ Product UX ■ Customer Experience
  • 7. Defining Touchpoints ● “Before, during, and after a purchase.”* ○ Physical or digital, # of touchpoints increasing. ● Touchpoints should be discovered while journeys are mapped (iterative process). ○ They are mostly microinteractions. 7 *Survey Monkey’s Definition of touchpoints: goo.gl/8WcqQQ
  • 8. Unsucking The Touchpoints* ● The most useful touchpoints, and the ones you should examine first, are always: ○ Appropriate - “context + culture” ○ Relevant - “meeting needs/functional” ○ Meaningful - “importance/purpose” ○ Endearing - “subtle, playful, creating delight” ● Touchpoint data needs to flow freely. 8 *Unsucking The Touchpoints: goo.gl/3eYcsv
  • 9. Customer Journeys 9 ● It’s a framework for understanding stages of the process from before they’re a customer till churn. ○ You can follow customers beyond churn, but don’t stalk. ● The journey’s level of precision depends on how detailed your customer profiles are and the customer data that’s available.* *Creating Data-Driven Customer Profiles: goo.gl/o1v972
  • 10. The Need To Know ● Today customers have more touchpoints than ever with brands (there’s more data now too). ○ Partly result of rising volume of business. ○ Partly result of specialization within organization. ● A single bad experience can churn a customer.* ○ 9 out of 10 B2C from a bad experience. ○ 7 out of 10 B2B from a bad experience. 10 *How Touchpoint Mapping Works: goo.gl/ynm9Yt
  • 11. CX Depends On It 11 ● 1 in 26 voice a complaint about a bad experience.* ○ Most problems are avoidable with the right insight driven action. ● Customer satisfaction is still the main driver of word-of-mouth growth & for reducing churn. ○ A 5% increase in retention can lead to a 75% increase in profitability (not revenue, but PROFIT).* *Evolution of Customer Service Metrics: goo.gl/MeciPw
  • 12. Benefits Of Knowing Your Touchpoints ● It’s what innovative companies are doing right now to beat their competitors. ● It reduces churn & increases lifetime value. ● It provides actionable insights for everyone in your company by utilizing your data. 12
  • 13. Another Way To Look At It ● The bar is being set by all customer experiences, not just those within your own industry. ● More details about this emerging pattern are laid out in my recent article.* 13 *Data-Differentiating Your CX Strategy: goo.gl/VHfAZx
  • 15. Customer’s Shoes ● The most important step in mapping touchpoints across the customer journey is understanding the customer’s perspective. ○ Internal audits are insufficient, but they are necessary. ● This should be your main focus and you should learn: Goals, Needs, Barriers, & Expectations. 15
  • 16. Beyond Your Control 16 ● Some of the touchpoints you have with customers are beyond your view or reach. ○ Word-of-mouth is one example - you can’t hear every conversation involving your brand.* ● This means you should leverage as much of the information you do have visibility of. *Some Apps Were Listening To You: goo.gl/ndNY4z
  • 17. Visually Un-Optional ● There are many touchpoints for all possible journeys. This creates lots of permutations. ○ Use personas to group permutations. ○ Make order from the chaos with visualizations. ● Overwhelming majority of people are visual learners, and it’s (probably) a much faster way of sharing the journey & touchpoints.* 17 *The 60,000 Fallacy: goo.gl/xFKA9Z
  • 18. Touchpoint Map Example* 18 *Touchpoint Matrix: brandtouchpointmatrix.com
  • 19. Touchpoint Map Example* 19 *Ecommerce Journey Map: goo.gl/M3vtou
  • 20. Touchpoint Map Example* 20 *Journey Decision Pathways: goo.gl/kUVVru
  • 22. Inventory 2-Step 22 ● Touchpoint Inventory - starts broad as a list but ends with specific KPIs, a DRI and visuals. ● Includes a data audit & exploratory data analysis (EDA) to identify KPIs worth tracking. ○ This is an internal process, and can’t be skipped.
  • 23. DRIs & Biz Purpose ● You need to identify directly responsible individuals (DRIs) for every touchpoint. ● You should also make a list of the purpose for every touchpoint visible to your team. 23 *What Is a Customer Touchpoint & Map: goo.gl/gfAV5V
  • 24. Breaking Down Silos ● Your data needs a central environment with clear governance & user management. ○ It can start with loose rules, but nothing will scale until this environment works for all stakeholders. ● Typical Silos: Marketing, Sales/Finance, Product/Ops, Customer Experience, IT, ... 24
  • 25. Relationship Status Matters 25 ● What stage are they in their customer journey? ○ Where are you in your product life cycle?* ● Requires different approaches because of the varying data available over the entire journey. *Product Lifecycle: hbr.org/1965/11/exploit-the-product-life-cycle
  • 26. Identifying The Right KPIs 26 ● CSAT and NPS are not the whole picture. ○ Sentiment analysis requires unstructured data but offers deeper insight than survey scales. ● You’ll have massive amounts of data for each touchpoint, so you have to figure out which metrics matter. EDA does this.
  • 27. High-Level Leap Of Faith 27 ● This is a new problem for most companies, but the benefits of having a better customer experience than competitors are huge. ● Ease into it with high-level exercises. ○ Brand Touchpoint Matrix is a great place to start.* *Brand Touchpoint Matrix: brandtouchpointmatrix.com
  • 28. Ending In The Data Weeds ● Your customer journey map needs to get more precise every day across touchpoints. ● Inventory of all touchpoints with DRIs, business purpose, KPIs, and their trends needs to be fully mapped & visualized. 28
  • 29. GOAL #1 = Reduce Friction ● Should be trying to minimize the total number of touchpoints with customers. ● Amazon Dash is the perfect example. ○ Built on amazing data (so much data they started selling their MARGINAL server space as AWS)* ■ $17.5BN in revenue in 2017. 29 *History of AWS: goo.gl/gLU7kG
  • 30. GOAL #2 = Personalize ● Personalization constantly ranks as a major component of good customer experience. ● This requires a lot of data, good predictive models & testing/validating. ○ Should be done before any personalization program is released into the wild. 30
  • 31. GOAL #3 = Know CLV ● All touchpoints should be optimized for providing a profitable product. ● Customer Lifetime Value (CLV) ensures actions at all touchpoints are profitable. ○ Because it shows you how to provide real value. 31
  • 33. What We Covered Today... ● The benefits of mapping touchpoints. ● A touchpoint map and the customer journey. ● How to start mapping touchpoints. 33
  • 35. You Should Read - [Evolution of Customer Service Metrics]* Authored by Brad Birnbaum, CEO of Kustomer. Cliff Notes: methods of customer service are outdated and need to evolve with the rapidly changing market. Data, especially about lifetime value, is critical to success but any information you get will be partial and requires very careful interpretation following deep analytics (like NLP). 35 *Evolution of Customer Service Metrics: goo.gl/MeciPw
  • 36. 36At The Next Lecture...
  • 37. Thursday May 24th, 2018 emperitas.com/lecture