A guide based on experience building a data capabilities inside of Jane.com, one of the fastest growing ecommerce marketplaces. This provides many helpful tools to improve a companies analytical capabilities. Topics covered:
Why is data so important right now?
How should I think about data?
How can I prioritize the right data?
What data projects am I missing?
Bonus: How can I build a data team?
2. I am Jeff Potter
Former Director of Analytics at Jane.com
Currently Building an Analytics Consulting Firm
Hello!
2
3. “
Pragmatic:
dealing with things sensibly and
realistically in a way that is based
on practical rather than
theoretical considerations.
3
4. 4
Overview
1. Why is data so important right now?
2. How should I think about data?
3. How can I prioritize the right data?
4. What data projects am I missing?
18. 18
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Produce:
Track user behavior and
business events in
applications and send for
collection
19. 19
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Collect:
Collect accurate,
comprehensive behavioral
data from users and systems
20. 20
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Process:
Sessionize, stitch identities,
classify users, and
technology
21. 21
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Model:
Categorize traffic, connect
external data sources,
prepare for detailed analysis
22. 22
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Analyze:
Dashboards, analysis,
anomaly detection
23. 23
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Optimize:
Segmentation, A/B Testing,
marketing automation
24. 24
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
AI:
Machine learning and AI to
predict future events
26. 26
Overview of Process
1. Identify your Data Sources
2. Implement an Analytics Framework
3. Identify your Key Business Events
4. Identify primary business Questions
5. Integrate your Data
6. Create Actions and Measure outcome
29. Kora Fitness - Data Sources
29
Shopify
Google
Analytics
Zendesk
Instagram Facebook Adwords
Google
Business
Harvest
Bamboo
HR
SlackSurvey
Monkey
Trello
31. “
Mental models (or framework) can
help shape behaviour and set an
approach to solving problems and
doing tasks
31
32. Pirate Metrics Framework
(AARRR)
32
Phase Function
Acquisition Generate attention through a variety of activities
Activation Turn interest into users who are using your product or service
Retention Convince user to come back repeatedly, exhibiting sticky
behavior
Revenue Business outcomes (purchases, clicks, content created,
subscription)
Referral Viral and word-of-mouth invitations to other potential users
33. Pirate Metrics Framework
(AARRR)
33
Phase Function
Acquisition Generate attention through a variety of activities
Activation Turn interest into users who are using your product or service
Retention Convince user to come back repeatedly, exhibiting sticky
behavior
Revenue Business outcomes (purchases, clicks, content created,
subscription)
Referral Viral and word-of-mouth invitations to other potential users
34. Pirate Metrics Framework
(AARRR)
34
Phase Function
Acquisition Generate attention through a variety of activities
Activation Turn interest into users who are using your product or service
Retention Convince user to come back repeatedly, exhibiting sticky
behavior
Revenue Business outcomes (purchases, clicks, content created,
subscription)
Referral Viral and word-of-mouth invitations to other potential users
35. Pirate Metrics Framework
(AARRR)
35
Phase Function
Acquisition Generate attention through a variety of activities
Activation Turn interest into users who are using your product or service
Retention Convince user to come back repeatedly, exhibiting sticky
behavior
Revenue Business outcomes (purchases, clicks, content created,
subscription)
Referral Viral and word-of-mouth invitations to other potential users
36. Pirate Metrics Framework
(AARRR)
36
Phase Function
Acquisition Generate attention through a variety of activities
Activation Turn interest into users who are using your product or service
Retention Convince user to come back repeatedly, exhibiting sticky
behavior
Revenue Business outcomes (purchases, clicks, content created,
subscription)
Referral Viral and word-of-mouth invitations to other potential users
38. 38
Process Applied
1. Identify your Data Sources
2. Implement an Analytics Framework
3. Identify your Key Business Events
39. Kora Fitness - Data Sources
39
Shopify
Google
Analytics
Zendesk
Instagram Facebook Adwords
Google
Business
Harvest
Bamboo
HR
SlackSurvey
Monkey
Trello
40. Kora Fitness - Data Sources
40
Shopify
Google
Analytics
Zendesk
Instagram Facebook Adwords
Google
Business
Harvest
Bamboo
HR
SlackSurvey
Monkey
Trello
41. 41
Data Sources Key Business Processes Framework Phase
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
Facebook Campaign Run Acquisition
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
42. 42
Data Sources Key Business Processes Framework Phase
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
Facebook Campaign Run Acquisition
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
43. 43
Data Sources Key Business Processes Framework Phase
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
Facebook Campaign Run Acquisition
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
44. 44
Data Sources Key Business Processes Framework Phase
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
Facebook Campaign Run Acquisition
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
45. 45
Data Sources Key Business Processes Framework Phase
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
Facebook Campaign Run Acquisition
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
46. 46
Data Sources Key Business Processes Framework Phase
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
Facebook Campaign Run Acquisition
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
47. 47
Data Sources Key Business Processes Framework Phase
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
Facebook Campaign Run Acquisition
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
48. 48
Data Sources Key Business Processes Framework Phase Priority
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Low
Low
High
High
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
High
High
High
Facebook Campaign Run Acquisition Medium
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
Low
Low
49. 49
Data Sources Key Business Processes Framework Phase Priority
Google Analytics New Visitor
Product Page Viewed
Item Added to Cart
Order Created
Acquisition
Activation
Activation
Revenue
Low
Low
High
High
Shopify Order Created
Return Created
Customer Created
Revenue
Revenue (Contra)
Activation
High
High
High
Facebook Campaign Run Acquisition Medium
Zendesk Ticket Created
Ticket Resolved
Retention
Retention
Low
Low
50. 50
Process Applied
1. Identify your Data Sources
2. Implement an Analytics Framework
3. Identify your Key Business Processes
4. Identify primary business Questions
51. 51
Unsolved Business Questions
1. Am I spending my marketing dollars wisely?
2. How long are customers staying with me?
3. How is my onboarding experience?
4. Which products are my best?
5. How long until I need to reorder?
52. 52
Process Applied
1. Identify your Data Sources
2. Implement an Analytics Framework
3. Identify your Key Business Processes
4. Identify primary business Questions
5. Integrate data and refine data
53. 53
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Shopify Data:
Does a lot of this for you
but if you want to
export the data you will
lose several layers
54. 54
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Shopify Data:
Exportable Shopify Data
is at this stage of the
hierarchy
56. 56
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Integrated Data:
Model the data into
more accessible table
using SQL, reformat
dates, and lookup
enrichment data.
57. 57
Process Applied
1. Identify your Data Sources
2. Implement an Analytics Framework
3. Identify your Key Business Processes
4. Identify primary business Questions
5. Integrate data and refine data
6. Create actions and measure outcome
58. 58
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Integrated Data:
1. Setup basic
visualization tool to
speed up analysis.
2. Conduct analysis
based on onboarding
question
59. 59
Data Hierarchy of Needs
Produce
Collect
Process
Model
Analyze
Optimize
AI
Integrated Data:
Create an A/B test to
improve onboarding
rate X%
82. 82
Overview
1. Why is data so important right now?
2. How should I think about data?
3. How can I prioritize the right data?
4. What data projects am I missing?
83. Any questions ?
You can find me at
◉ LinkedIn: Jeff Potter
◉ jeff.potter6@gmail.com
Thanks!
83
85. Analytics Maturity Model
85
Phase Questions
Foundations Is the data correct?
Descriptive Analytics What is happening?
Diagnostic Analytics Why did this happen?
Predictive Analytics What will happen?
90. Analytics
Defines and monitors
metrics, and crafts
narratives around
data.
Data Science Paths
90
Algorithms
Builds and interprets
algorithms that
power products.
Inference
Establishes causal
relationships with
statistics