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How to Pick the Right Metrics with Josh Vincent of Transparent Partners
Connect With Us
LinkedIn:
www.linkedin.com/
school/promotable
Website:
www.promotable.io
Instagram:
@promotable_io
Twitter:
@promotable_io
Who Are We
At Promotable, we are closing the data skills gap and helping you
take your career to the next level.
INSTRUCTORS FROM TOP COMPANIES
Promotable’s instructors work at top companies and combine real-world experience
with people-focused skills.
Upcoming Events
● Sept 18: Data to Insights with Gogo's Lead Data
Scientist
● Oct. 2: Demystifying Data for Marketers
● Oct. 9: Top 3 Skills for Product Managers with TD
Ameritrade’s Sr. PM
Upcoming Classes
Data Analytics: Data to Insights (5 hrs/wk for 8 Weeks)
● September 24 (2 Spots Left)
Product Management (5 hrs/wk for 6 Weeks)
● October 8 (3 Spots Left)
How To Pick the Right Metrics
September 12th, 2019
Promotable Event
More Innovation | Less Complication 8
It’s great to be here
Josh Vincent
Partner of Data, Technology
and Analytics
Transparent Partners
Twitter: @JoshVincent
More Innovation | Less Complication 9
THE POWER
OF DATA
PROOF
PROMISEPARADOX
More Innovation | Less Complication 1
Different names and flavors
over time describe the
same fundamental thing.
More Innovation | Less Complication 1
More Innovation | Less Complication 1
Responsibilities and expectations in a data role are daunting
Jack of all trades, master of data
Understand the industry
Understand the business Models, methods, technology
Data capture and wrangle
Visualize and CommunicateDefine objectives
INSPIRE ACTION & PROVE IMPACT
More Innovation | Less Complication 1
YOUR CHALLENGE AND OPPORTUNITY:
Gain a unique view from data to
answer questions, solve problems and
guide the business.
More Innovation | Less Complication 1
Metrics are fundamental to this challenge.
More Innovation | Less Complication 1
Topics for Today
1. Start with the business and strategic objectives
1. Create a plan on which metrics will be used for
what purpose
1. Think practically about and classify your
available metrics to guide usage
1. Drive learning with a process
1. Collaborate and integrate with the business:
work well with your partners
More Innovation | Less Complication 16
Topics for Today
1. Start with the business and strategic objectives
1. Create a plan on which metrics will be used for
what purpose
1. Think practically about and classify your
available metrics to guide usage
1. Drive learning with a process
1. Collaborate and integrate with the business:
work well with your partners
More Innovation | Less Complication 17
The volume of raw data is expanding
More Innovation | Less Complication 18
The volume and complexity of metrics expands with it
This can overwhelm and distract
More Innovation | Less Complication 19
Smashing all your data and metrics together doesn’t help
More Innovation | Less Complication 20
Create focus by documenting your business and strategic objectives to ground your efforts in what’s really
important
Grow Profit
Increase Sales
Acquire
New
Customers
Drive
Awareness
Retain
Existing
Customers
Expand e-commerce sales
Increase
site Traffic
Increase
Basket Size
Increase
Conversion
Rate
Example Business
and Marketing
Objectives for Retail:
Drive
Cross-
Sales
More Innovation | Less Complication 21
Example
business and
strategic
objectives
Walmart 2019 Annual Report Boeing 2018 Annual Report
More Innovation | Less Complication 22
Topics for Today
1. Start with the business and strategic objectives
1. Create a plan on which metrics will be used for
what purpose
1. Think practically about and classify your
available metrics to guide usage
1. Drive learning with a process
1. Collaborate and integrate with the business:
work well with your partners
More Innovation | Less Complication 23
Planning the action of how you will use each metric is the most useful way to classify
SUCCESS
metrics
OPTIMIZATION
metrics
CONTEXTUAL
metrics
Represents how well the stated
objective of the effort was achieved.
Prompts action based on the values
of this metric. There should ideally
be a proven or understood
relationship with the success
metrics.
Metrics that provide context around
the effort and larger environment.
More Innovation | Less Complication 24
Use a Measurement Framework to establish:
Measurement Platforms and Metric Usage Detailed Metric By Tactic
Timeline of Metric Availability and Action
More Innovation | Less Complication 25
Benchmarks and goals
provide context
• Start with industry standards
• Build up data on past performance to refine
benchmarks
• Determine goals based on strategic objectives
OR improve on past performance
• Recalibrate as needed
More Innovation | Less Complication 26
Topics for Today
1. Start with the business and strategic objectives
1. Create a plan on which metrics will be used for
what purpose
1. Think practically about and classify your
available metrics to guide usage
1. Drive learning with a process
1. Collaborate and integrate with the business:
work well with your partners
More Innovation | Less Complication 27
Attributes of your metrics to consider
More Innovation | Less Complication 28
What is the metric directly measuring?
A point in the journey
OR
An outcome
OR
A measure of value
McKinsey
Consumer Decision Journey
Descriptive Diagnostic Predictive
Prescriptiv
e
Descriptive
OR
Modeled
More Innovation | Less Complication 29
What is the bias?
Marketing Mix
Models
• Short term impact only
• Factors in place vs innovations
• Large scale tactics only
• Brand impact limited
Multi-Touch
Attribution
• Measurable touchpoints only
• Time to conversion varies
• Brand impact limited
Controlled
Experimental
Survey
• Excludes natural factors
• Sample bias
• Sample bias
• Acquiescence
• Question order
• Social desirability
More Innovation | Less Complication 30
What relationships exist between your metrics?
Leading Lagging Causality
US GDP
• Use leading metrics as a proxy
for what you care about
• Often useful for optimization
• Be aware of other factors that
diminish the relationship
• Captured and reported well
after occurrence
• Often is the outcome you care
about
• Use leading metrics as a way to
predict and optimize
• Correlation does not equal
causation
• Causality is often assumed
More Innovation | Less Complication 31
When do your metrics become available?
IMMEDIATE LAGGING
BRANDSALES
DELIVERY
PLATFORM
METRICS
CROSS-DEVICE
IDENTITY
MANAGEMENT
SALES
LIFT STUDIES
REACH
MEASUREMENT
LOCATION
MEASUREMENT &
ATTRIBUTION
MARKETING MIX
MODELS
MULTI-TOUCH
ATTRIBUTION
MODELS
BRAND
LIFT STUDIES
BRAND
TRACKING*
AVAILABILITY
BUSINESSOUTCOMES
SITE ANALYTICS
VIEWABILITY,
VERIFICATION &
FRAUD
SOCIAL
LISTENING*
IN-STORE POS
AND ECOM
SALES DATA
(ad-server, search,
social, DSP, etc.)
More Innovation | Less Complication 32
How does the metric move?
Slow or Fast
Noisy
Diminishing Returns
When it stops
The need to recalibrate
• Brand metrics move slowly
• Sales can move fast
• Click through rate
Examples
• Impact of advertising spend
• Reaching statistical significance
• Consumer privacy changes to
web browsers (ITP, Chrome
Samesite, Firefox Updates, etc.)
More Innovation | Less Complication 33
What is the granularity? Is it sufficient?
People
Time
Campaign
GRANULARITY EXAMPLES
Product
mass Individual
year month day hour second
campaign channel tactic placement
As precision increases so does the importance of data governance and consistency of taxonomy
category product name product variants
More Innovation | Less Complication 34
Is your metric a composite of other metrics?
Rates
Creative Combinations
• CTR (Click through rate)
• CPM (Cost per one thousand impressions)
• ROAS (Return on Ad Spend)
• vCPM
• eCPM
More Innovation | Less Complication 35
How should your metrics be best visualized and
represented?
Visualization Distribution vs Single Number
Source: National Hurricane Center
Range of Potential Hurricane Impact
More Innovation | Less Complication 36
Are you chasing vanity metrics? Are there unintended
consequences to your
optimization metrics?
Source: Vanity Metrics vs. Actionable Metrics – by Eric Ries, 2009
traffic conversion
Mirror, mirror on the wall: Who’s the fairest one of all?
Image: Snow White and the Seven Dwarfs; Disney 1937
Vanity Metrics: “Metrics that make you feel good but
don’t offer clear guidance for what to do.”
April, 2019
CPA
Cost Per Acquisition
CLV
Customer Lifetime Valuevs
More Innovation | Less Complication 37
Topics for Today
1. Start with the business and strategic objectives
1. Create a plan on which metrics will be used for
what purpose
1. Think practically about and classify your
available metrics to guide usage
1. Drive learning with a process
1. Collaborate and integrate with the business:
work well with your partners
More Innovation | Less Complication 38
Establish a learning agenda
The Learning Agenda
Identify
✓ Identify
knowledge gaps,
questions, and
problems
✓ Categorize into
themes
Prioritize Solutions
✓ Determine the
best approaches
and solutions to
address the
questions and
problems
✓ Estimate the
required
resources such
as level of effort,
data, timing
considerations
Roadmap
✓ Create an action
plan of what
solutions will be
implemented
when and who
owns the
solutions
Implement
✓ Carry out the
roadmap and
adjust as needed
✓ Improve your
strategy,
planning, and
media
implementation
and optimizations
with learnings
✓How would we
use the
information?
✓What decisions
would it support?
✓What value could
we drive?
Example Learning Agenda Items:
✓ Who are our most valuable
customers?
✓ How does brand marketing work
with shopper marketing and what is
my optimal marketing mix?
✓ Is our message resonating with
consumers?
More Innovation | Less Complication 39
Topics for Today
1. Start with the business and strategic objectives
1. Create a plan on which metrics will be used for
what purpose
1. Think practically about and classify your
available metrics to guide usage
1. Drive learning with a process
1. Collaborate and integrate with the business:
work well with your partners
More Innovation | Less Complication 40
Collaborate and integrate with the business
Know Yourself
Know Your Audience
Continuously Improve
BUILD
MEASURELEARN
More Innovation | Less Complication 41
1.Start with the business and strategic objectives
2.Create a plan on which metrics will be used for what purpose
3.Think practically about and classify your available metrics to guide usage
4.Drive learning with a process
5.Collaborate and integrate with the business: work well with your partners
There is no silver bullet to measurement and metrics
Harnessing the power of data is a great challenge and responsibility. It is up to all of us!
Key Take Aways: How to pick the right metrics
More Innovation | Less Complication 42
Questions?
More Innovation | Less Complication 43
Thank you!
Get in touch!
Josh Vincent
Partner of Data, Technology and Analytics
Transparent Partners
Twitter: @JoshVincent
Email: Josh.Vincent@Transparent.Partners
LinkedIn: www.linkedin.com/in/joshvincent1/
More Innovation | Less Complication 44
Appendix
More Innovation | Less Complication 45
A metric is one type of data
More Innovation | Less Complication 46
https://news.ycombinator.com/
More Innovation | Less Complication 47
Connect With Us
LinkedIn:
www.linkedin.com/
school/promotable
Website:
www.promotable.io
Instagram:
@promotable_io
Twitter:
@promotable_io

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How to Pick the Right Metrics with Josh Vincent of Transparent Partners

  • 3. Who Are We At Promotable, we are closing the data skills gap and helping you take your career to the next level.
  • 4. INSTRUCTORS FROM TOP COMPANIES Promotable’s instructors work at top companies and combine real-world experience with people-focused skills.
  • 5. Upcoming Events ● Sept 18: Data to Insights with Gogo's Lead Data Scientist ● Oct. 2: Demystifying Data for Marketers ● Oct. 9: Top 3 Skills for Product Managers with TD Ameritrade’s Sr. PM
  • 6. Upcoming Classes Data Analytics: Data to Insights (5 hrs/wk for 8 Weeks) ● September 24 (2 Spots Left) Product Management (5 hrs/wk for 6 Weeks) ● October 8 (3 Spots Left)
  • 7. How To Pick the Right Metrics September 12th, 2019 Promotable Event
  • 8. More Innovation | Less Complication 8 It’s great to be here Josh Vincent Partner of Data, Technology and Analytics Transparent Partners Twitter: @JoshVincent
  • 9. More Innovation | Less Complication 9 THE POWER OF DATA PROOF PROMISEPARADOX
  • 10. More Innovation | Less Complication 1 Different names and flavors over time describe the same fundamental thing.
  • 11. More Innovation | Less Complication 1
  • 12. More Innovation | Less Complication 1 Responsibilities and expectations in a data role are daunting Jack of all trades, master of data Understand the industry Understand the business Models, methods, technology Data capture and wrangle Visualize and CommunicateDefine objectives INSPIRE ACTION & PROVE IMPACT
  • 13. More Innovation | Less Complication 1 YOUR CHALLENGE AND OPPORTUNITY: Gain a unique view from data to answer questions, solve problems and guide the business.
  • 14. More Innovation | Less Complication 1 Metrics are fundamental to this challenge.
  • 15. More Innovation | Less Complication 1 Topics for Today 1. Start with the business and strategic objectives 1. Create a plan on which metrics will be used for what purpose 1. Think practically about and classify your available metrics to guide usage 1. Drive learning with a process 1. Collaborate and integrate with the business: work well with your partners
  • 16. More Innovation | Less Complication 16 Topics for Today 1. Start with the business and strategic objectives 1. Create a plan on which metrics will be used for what purpose 1. Think practically about and classify your available metrics to guide usage 1. Drive learning with a process 1. Collaborate and integrate with the business: work well with your partners
  • 17. More Innovation | Less Complication 17 The volume of raw data is expanding
  • 18. More Innovation | Less Complication 18 The volume and complexity of metrics expands with it This can overwhelm and distract
  • 19. More Innovation | Less Complication 19 Smashing all your data and metrics together doesn’t help
  • 20. More Innovation | Less Complication 20 Create focus by documenting your business and strategic objectives to ground your efforts in what’s really important Grow Profit Increase Sales Acquire New Customers Drive Awareness Retain Existing Customers Expand e-commerce sales Increase site Traffic Increase Basket Size Increase Conversion Rate Example Business and Marketing Objectives for Retail: Drive Cross- Sales
  • 21. More Innovation | Less Complication 21 Example business and strategic objectives Walmart 2019 Annual Report Boeing 2018 Annual Report
  • 22. More Innovation | Less Complication 22 Topics for Today 1. Start with the business and strategic objectives 1. Create a plan on which metrics will be used for what purpose 1. Think practically about and classify your available metrics to guide usage 1. Drive learning with a process 1. Collaborate and integrate with the business: work well with your partners
  • 23. More Innovation | Less Complication 23 Planning the action of how you will use each metric is the most useful way to classify SUCCESS metrics OPTIMIZATION metrics CONTEXTUAL metrics Represents how well the stated objective of the effort was achieved. Prompts action based on the values of this metric. There should ideally be a proven or understood relationship with the success metrics. Metrics that provide context around the effort and larger environment.
  • 24. More Innovation | Less Complication 24 Use a Measurement Framework to establish: Measurement Platforms and Metric Usage Detailed Metric By Tactic Timeline of Metric Availability and Action
  • 25. More Innovation | Less Complication 25 Benchmarks and goals provide context • Start with industry standards • Build up data on past performance to refine benchmarks • Determine goals based on strategic objectives OR improve on past performance • Recalibrate as needed
  • 26. More Innovation | Less Complication 26 Topics for Today 1. Start with the business and strategic objectives 1. Create a plan on which metrics will be used for what purpose 1. Think practically about and classify your available metrics to guide usage 1. Drive learning with a process 1. Collaborate and integrate with the business: work well with your partners
  • 27. More Innovation | Less Complication 27 Attributes of your metrics to consider
  • 28. More Innovation | Less Complication 28 What is the metric directly measuring? A point in the journey OR An outcome OR A measure of value McKinsey Consumer Decision Journey Descriptive Diagnostic Predictive Prescriptiv e Descriptive OR Modeled
  • 29. More Innovation | Less Complication 29 What is the bias? Marketing Mix Models • Short term impact only • Factors in place vs innovations • Large scale tactics only • Brand impact limited Multi-Touch Attribution • Measurable touchpoints only • Time to conversion varies • Brand impact limited Controlled Experimental Survey • Excludes natural factors • Sample bias • Sample bias • Acquiescence • Question order • Social desirability
  • 30. More Innovation | Less Complication 30 What relationships exist between your metrics? Leading Lagging Causality US GDP • Use leading metrics as a proxy for what you care about • Often useful for optimization • Be aware of other factors that diminish the relationship • Captured and reported well after occurrence • Often is the outcome you care about • Use leading metrics as a way to predict and optimize • Correlation does not equal causation • Causality is often assumed
  • 31. More Innovation | Less Complication 31 When do your metrics become available? IMMEDIATE LAGGING BRANDSALES DELIVERY PLATFORM METRICS CROSS-DEVICE IDENTITY MANAGEMENT SALES LIFT STUDIES REACH MEASUREMENT LOCATION MEASUREMENT & ATTRIBUTION MARKETING MIX MODELS MULTI-TOUCH ATTRIBUTION MODELS BRAND LIFT STUDIES BRAND TRACKING* AVAILABILITY BUSINESSOUTCOMES SITE ANALYTICS VIEWABILITY, VERIFICATION & FRAUD SOCIAL LISTENING* IN-STORE POS AND ECOM SALES DATA (ad-server, search, social, DSP, etc.)
  • 32. More Innovation | Less Complication 32 How does the metric move? Slow or Fast Noisy Diminishing Returns When it stops The need to recalibrate • Brand metrics move slowly • Sales can move fast • Click through rate Examples • Impact of advertising spend • Reaching statistical significance • Consumer privacy changes to web browsers (ITP, Chrome Samesite, Firefox Updates, etc.)
  • 33. More Innovation | Less Complication 33 What is the granularity? Is it sufficient? People Time Campaign GRANULARITY EXAMPLES Product mass Individual year month day hour second campaign channel tactic placement As precision increases so does the importance of data governance and consistency of taxonomy category product name product variants
  • 34. More Innovation | Less Complication 34 Is your metric a composite of other metrics? Rates Creative Combinations • CTR (Click through rate) • CPM (Cost per one thousand impressions) • ROAS (Return on Ad Spend) • vCPM • eCPM
  • 35. More Innovation | Less Complication 35 How should your metrics be best visualized and represented? Visualization Distribution vs Single Number Source: National Hurricane Center Range of Potential Hurricane Impact
  • 36. More Innovation | Less Complication 36 Are you chasing vanity metrics? Are there unintended consequences to your optimization metrics? Source: Vanity Metrics vs. Actionable Metrics – by Eric Ries, 2009 traffic conversion Mirror, mirror on the wall: Who’s the fairest one of all? Image: Snow White and the Seven Dwarfs; Disney 1937 Vanity Metrics: “Metrics that make you feel good but don’t offer clear guidance for what to do.” April, 2019 CPA Cost Per Acquisition CLV Customer Lifetime Valuevs
  • 37. More Innovation | Less Complication 37 Topics for Today 1. Start with the business and strategic objectives 1. Create a plan on which metrics will be used for what purpose 1. Think practically about and classify your available metrics to guide usage 1. Drive learning with a process 1. Collaborate and integrate with the business: work well with your partners
  • 38. More Innovation | Less Complication 38 Establish a learning agenda The Learning Agenda Identify ✓ Identify knowledge gaps, questions, and problems ✓ Categorize into themes Prioritize Solutions ✓ Determine the best approaches and solutions to address the questions and problems ✓ Estimate the required resources such as level of effort, data, timing considerations Roadmap ✓ Create an action plan of what solutions will be implemented when and who owns the solutions Implement ✓ Carry out the roadmap and adjust as needed ✓ Improve your strategy, planning, and media implementation and optimizations with learnings ✓How would we use the information? ✓What decisions would it support? ✓What value could we drive? Example Learning Agenda Items: ✓ Who are our most valuable customers? ✓ How does brand marketing work with shopper marketing and what is my optimal marketing mix? ✓ Is our message resonating with consumers?
  • 39. More Innovation | Less Complication 39 Topics for Today 1. Start with the business and strategic objectives 1. Create a plan on which metrics will be used for what purpose 1. Think practically about and classify your available metrics to guide usage 1. Drive learning with a process 1. Collaborate and integrate with the business: work well with your partners
  • 40. More Innovation | Less Complication 40 Collaborate and integrate with the business Know Yourself Know Your Audience Continuously Improve BUILD MEASURELEARN
  • 41. More Innovation | Less Complication 41 1.Start with the business and strategic objectives 2.Create a plan on which metrics will be used for what purpose 3.Think practically about and classify your available metrics to guide usage 4.Drive learning with a process 5.Collaborate and integrate with the business: work well with your partners There is no silver bullet to measurement and metrics Harnessing the power of data is a great challenge and responsibility. It is up to all of us! Key Take Aways: How to pick the right metrics
  • 42. More Innovation | Less Complication 42 Questions?
  • 43. More Innovation | Less Complication 43 Thank you! Get in touch! Josh Vincent Partner of Data, Technology and Analytics Transparent Partners Twitter: @JoshVincent Email: Josh.Vincent@Transparent.Partners LinkedIn: www.linkedin.com/in/joshvincent1/
  • 44. More Innovation | Less Complication 44 Appendix
  • 45. More Innovation | Less Complication 45 A metric is one type of data
  • 46. More Innovation | Less Complication 46 https://news.ycombinator.com/
  • 47. More Innovation | Less Complication 47