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CONTEXT MATTERS
SHIFTING FROM REPORTING TO ANALYSIS
Josh Moe, Senior Digital Analyst
HealthPartners
ABOUT ME
• Background in Digital Marketing, Web
Development, Analytics
• Recently married
• College Football fanatic
• Passion Areas:
– Marketing Technology/Infrastructure
– Web Performance
– Digital Privacy
– Netsec/Infosec
DIGITAL ANALYTICS EVOLUTION AT HEALTHPARTNERS
• 04/16 – Single analytics contractor
• 04/18 – Digital Analytics team
• Migration from Google Analytics Premium >
Adobe Analytics
• Merge web + internal data sources
• Automated, Serverless ETL Application
• Shifting to analysis
KEY CONSIDERATIONS
• Upfront efforts pay dividends
• Partnership is required
• Simple, not easy
But there is a lot of
noise
Listening
is great…
There are lots of hay stacks and very few
needles…
REPORTING VS. ANALYSIS
REPORTING VS. ANALYSIS
Reporting: Organizing data into informational
summaries; providing static metrics in isolation
Analysis: Process of exploring data, typically from
multiple sources, in order to extract meaning,
insights, and ultimately, to provide
recommendations and value to end consumers
EXAMPLE REPORTING
• Isolated, static metrics
• Not actionable
• No context
• No insights or recommendations
EXAMPLE ANALYSIS
• Multiple data sources
• Calculated Metrics
• Derived meaning
• Actionable next steps
Channel
Cost per
New Visitor
Conversions
Cost per
Conversion
SEM $2.60 14 $106
Social $3.84 5 $280
Display $4.50 12 $75
Goal: Drive new visitors to
the blog & generate new
email subscribers
Finding Action
SEM was most effective
at driving new traffic
Shift Social budget to SEM for
top of funnel
Display had the lowest
cost per conversion
Determine which
tactics/targeting performed best
“IT’S ALMOST LIKE SOME ORGANIZATIONS RUN OUT OF
GAS AFTER THE INITIAL SET-UP-RELATED ACTIVITIES
AND DON’T MAKE IT TO THE ANALYSIS STAGE. IN ADDITION,
SOMETIMES THE LINES BETWEEN REPORTING AND
ANALYSIS CAN BLUR – WHAT FEELS LIKE ANALYSIS IS
REALLY JUST ANOTHER FLAVOR OF REPORTING.”
– BRENT DYKES, ADOBE
REPORTING VS. ANALYSIS
REPORTING VS. ANALYSIS
Reporting Tasks
• Building
• Configuring
• Cleaning
• Organizing
• Summarizing
Analysis Tasks
• Examining
• Segmenting
• Questioning
• Comparing
• Interpreting
REPORTING VS. ANALYSIS
Reporting Distribution
• Passive
• Reports
• Dashboards
• Alerts
Analysis Distribution
• Active
• Annotated reports/dashboards
• Discussions
• Action
*Technology can enable you to
scale reporting without people
resources
*Analysis does not scale without
people resources
COMMON SCENARIOS
COMMON SCENARIOS
“Forgot to email you when
we launched - We’ve been
running this campaign for a
few weeks now, how are we
doing?”
- Marketer
COMMON SCENARIOS
- Analyst
COMMON SCENARIOS
“We need to build a new
landing page for this
campaign, can we get
some data?”
- Marketer
COMMON SCENARIOS
- Analyst
COMMON SCENARIOS
“We’ve been sending paid
and organic social traffic
to the blog for a year now,
tell us how awesome we
are!”
- Marketer
COMMON SCENARIOS
- Analyst
SHIFTING TO ANALYSIS
5 STEPS TO A SUCCESSFUL ANALYSIS
Execute
P
D
E
Purpose
A Analyze
P Package
Design
PDEAP IN ACTION
1- Purpose
2-
Design
3- Execute
4- Analyze
5-
Package
• Analytics Implementation
• Campaign Implementation
• Monitoring
Goals & Objectives Data & Insights are packaged,
explained, and distributed to
stakeholders
Analysts make sense of the
data• Attribution
• Requirements
TECHNICAL STAGE
INSIGHT
STAGE
Insights & recommendations
provide continuous improvements
1. PURPOSE
WHY ARE WE DOING THIS?
1. PURPOSE
How do we define success? What are we trying to do?
What do we need to track?
What decisions do we plan to
make with the analysis?
When do we need to report
results?
When & how are we going to
take action based on the
insights?
Common Question Making the Shift
1. PURPOSE
4 Key Considerations
1. Collaborative
2. Actionable!
3. Timely
4. Progress not perfection
1. PURPOSE
1. PURPOSE – PREVIOUS STATE
1. PURPOSE – CURRENT STATE
OBJECTIVE GROWTH
Goals
Acquire new visitors to the blog
Push new blog traffic into services-related content sections
KPIs
% return rate for new visitors
Number of non-blog pageviews per visit
Metrics
Average time spent on the blog & non-blog pages
% organic search for return visitors
Segments
1st time visitors to the site
Return visitors acquired through the blog
Targets 25% return rate for new visitors acquired through blog
BUT, BUT WHAT ABOUT BOUNCE RATE?!
OK, FINE, BUT WHAT ABOUT SCROLLING?!
OK, FINE, BUT WHAT ABOUT SCROLLING?!
100% Scroll
Rate
2. DESIGN
HOW ARE WE GOING TO DO THIS?
2. DESIGN
• Business Requirements
– What is required?
• Solutions Design Requirements
– How do we structure it?
• URL Tagging specifications
• Data Sources
Design documentation translates the
purpose into a set of prescriptive, tactical
criteria
2. DESIGN – PREVIOUS STATE
70+ requirements for
one application
redesign
2. DESIGN – CURRENT STATE
Category Name Action (if the
user…)
Capture (data to
collect)
Notes
Business Requirements
Solutions Design Requirements/Data Dictionary
Category Event Description eVar Prop Classifications
2. DESIGN – CURRENT STATE Digital Grid (URL Tagging)
• Consistency
• Governance
• Segmentation
2. DESIGN – CURRENT STATE
Automated, Serverless ETL: Data
aggregation for the masses
• Source sources
• Keys to map
• Individual
metrics/dimensions
3. EXECUTE
LET’S DO THIS!
3. EXECUTE
3. EXECUTE
Self-service dashboards & alerts
(“reporting”) can be invaluable assets for
quick insights before an analysis is
necessary
4. ANALYZE
WHAT DOES THIS MEAN?
4. ANALYZE
• Always go back to purpose & initial requirements
• Let your curiosity roam
• Find ways to challenge you & your data
• Don’t take things at face value
4. ANALYZE – PREVIOUS STATE
4. ANALYZE – CURRENT STATE
5. PACKAGE FOR ACTION
HERE’S WHAT WE’RE GOING TO DO
5. PACKAGE
Discuss it Show it Share itExplain it
5. PACKAGE – PREVIOUS STATE
Less than $2/pageview
Kids get $10 prescriptions for fruits and veggies
Get your kids ready for school sports
Is joint replacement surgery right for you?
Two great ways to help manage stress
Sitting too much?
6 tips to de-germ your home
Breast cancer is the most commonly diagnosed
cancer in women after skin cancer
9 things to know about Alzheimer’s Disease
What back-to-school immunizations does my
child need?
Preparing for your first mammogram
Exchange your Halloween candy for fresh fruits
and veggies
Spend
Pageviews
5. PACKAGE – CURRENT STATE
75,000
First time visitors to
healthpartners.com via a Healthy Living
blog post
15,000
20% of visitors
returned to HP.com
after finding us via the
blog
5,000
Returned to do something else
(find a doctor, find care,
etc.)
10,000
Returned to read
another blog post
Finding: 33% of return
visitors end up on service-
oriented content pages
5. PACKAGE – CURRENT STATE
Recommendation: Continue
to optimize for search so our
top-of-funnel/awareness
channels, like social, are as
effective as possible
0
200
400
600
800
1000
1200
1400
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb
Visits
Organic Search Traffic to the Blog
Organic Traffic
Finding: 3x more users find us through organic
search after initially finding us via the blog
5. PACKAGE – CURRENT STATE
Finding Action
Simple finding Actionable recommendation
Simple finding Actionable recommendation
Simple finding Actionable recommendation
One-pager
BRINGING IT ALL TOGETHER
5 STEPS TO A SUCCESSFUL ANALYSIS
Execute
P
D
E
Purpose
A Analyze
P Package
Design
RESOURCES
Email me – Joshua.d.moe@gmail.com
Simo Ahava – https://www.simoahava.com
Jan Exner - https://webanalyticsfordevelopers.com
Jeff Sauer - https://www.jeffalytics.com (Analytics Course, DemandQuest, UST)
Luna Metrics Blog - https://www.lunametrics.com/blog
MinneAnalytics - http://minneanalytics.org
YOU GET A RESOURCE, YOU GET A RESOURCE, EVERYONE GETS A
RESOURCE!
Context Matters - Shifting from Reporting to Analysis

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Context Matters - Shifting from Reporting to Analysis

  • 1. CONTEXT MATTERS SHIFTING FROM REPORTING TO ANALYSIS Josh Moe, Senior Digital Analyst HealthPartners
  • 2. ABOUT ME • Background in Digital Marketing, Web Development, Analytics • Recently married • College Football fanatic • Passion Areas: – Marketing Technology/Infrastructure – Web Performance – Digital Privacy – Netsec/Infosec
  • 3. DIGITAL ANALYTICS EVOLUTION AT HEALTHPARTNERS • 04/16 – Single analytics contractor • 04/18 – Digital Analytics team • Migration from Google Analytics Premium > Adobe Analytics • Merge web + internal data sources • Automated, Serverless ETL Application • Shifting to analysis
  • 4. KEY CONSIDERATIONS • Upfront efforts pay dividends • Partnership is required • Simple, not easy
  • 5. But there is a lot of noise Listening is great… There are lots of hay stacks and very few needles…
  • 7. REPORTING VS. ANALYSIS Reporting: Organizing data into informational summaries; providing static metrics in isolation Analysis: Process of exploring data, typically from multiple sources, in order to extract meaning, insights, and ultimately, to provide recommendations and value to end consumers
  • 8. EXAMPLE REPORTING • Isolated, static metrics • Not actionable • No context • No insights or recommendations
  • 9. EXAMPLE ANALYSIS • Multiple data sources • Calculated Metrics • Derived meaning • Actionable next steps Channel Cost per New Visitor Conversions Cost per Conversion SEM $2.60 14 $106 Social $3.84 5 $280 Display $4.50 12 $75 Goal: Drive new visitors to the blog & generate new email subscribers Finding Action SEM was most effective at driving new traffic Shift Social budget to SEM for top of funnel Display had the lowest cost per conversion Determine which tactics/targeting performed best
  • 10. “IT’S ALMOST LIKE SOME ORGANIZATIONS RUN OUT OF GAS AFTER THE INITIAL SET-UP-RELATED ACTIVITIES AND DON’T MAKE IT TO THE ANALYSIS STAGE. IN ADDITION, SOMETIMES THE LINES BETWEEN REPORTING AND ANALYSIS CAN BLUR – WHAT FEELS LIKE ANALYSIS IS REALLY JUST ANOTHER FLAVOR OF REPORTING.” – BRENT DYKES, ADOBE REPORTING VS. ANALYSIS
  • 11. REPORTING VS. ANALYSIS Reporting Tasks • Building • Configuring • Cleaning • Organizing • Summarizing Analysis Tasks • Examining • Segmenting • Questioning • Comparing • Interpreting
  • 12. REPORTING VS. ANALYSIS Reporting Distribution • Passive • Reports • Dashboards • Alerts Analysis Distribution • Active • Annotated reports/dashboards • Discussions • Action *Technology can enable you to scale reporting without people resources *Analysis does not scale without people resources
  • 14. COMMON SCENARIOS “Forgot to email you when we launched - We’ve been running this campaign for a few weeks now, how are we doing?” - Marketer
  • 16. COMMON SCENARIOS “We need to build a new landing page for this campaign, can we get some data?” - Marketer
  • 18. COMMON SCENARIOS “We’ve been sending paid and organic social traffic to the blog for a year now, tell us how awesome we are!” - Marketer
  • 21. 5 STEPS TO A SUCCESSFUL ANALYSIS Execute P D E Purpose A Analyze P Package Design
  • 22. PDEAP IN ACTION 1- Purpose 2- Design 3- Execute 4- Analyze 5- Package • Analytics Implementation • Campaign Implementation • Monitoring Goals & Objectives Data & Insights are packaged, explained, and distributed to stakeholders Analysts make sense of the data• Attribution • Requirements TECHNICAL STAGE INSIGHT STAGE Insights & recommendations provide continuous improvements
  • 23. 1. PURPOSE WHY ARE WE DOING THIS?
  • 24. 1. PURPOSE How do we define success? What are we trying to do? What do we need to track? What decisions do we plan to make with the analysis? When do we need to report results? When & how are we going to take action based on the insights? Common Question Making the Shift
  • 25. 1. PURPOSE 4 Key Considerations 1. Collaborative 2. Actionable! 3. Timely 4. Progress not perfection
  • 27. 1. PURPOSE – PREVIOUS STATE
  • 28. 1. PURPOSE – CURRENT STATE OBJECTIVE GROWTH Goals Acquire new visitors to the blog Push new blog traffic into services-related content sections KPIs % return rate for new visitors Number of non-blog pageviews per visit Metrics Average time spent on the blog & non-blog pages % organic search for return visitors Segments 1st time visitors to the site Return visitors acquired through the blog Targets 25% return rate for new visitors acquired through blog
  • 29. BUT, BUT WHAT ABOUT BOUNCE RATE?!
  • 30. OK, FINE, BUT WHAT ABOUT SCROLLING?!
  • 31. OK, FINE, BUT WHAT ABOUT SCROLLING?! 100% Scroll Rate
  • 32. 2. DESIGN HOW ARE WE GOING TO DO THIS?
  • 33. 2. DESIGN • Business Requirements – What is required? • Solutions Design Requirements – How do we structure it? • URL Tagging specifications • Data Sources Design documentation translates the purpose into a set of prescriptive, tactical criteria
  • 34. 2. DESIGN – PREVIOUS STATE 70+ requirements for one application redesign
  • 35. 2. DESIGN – CURRENT STATE Category Name Action (if the user…) Capture (data to collect) Notes Business Requirements Solutions Design Requirements/Data Dictionary Category Event Description eVar Prop Classifications
  • 36. 2. DESIGN – CURRENT STATE Digital Grid (URL Tagging) • Consistency • Governance • Segmentation
  • 37. 2. DESIGN – CURRENT STATE Automated, Serverless ETL: Data aggregation for the masses • Source sources • Keys to map • Individual metrics/dimensions
  • 40. 3. EXECUTE Self-service dashboards & alerts (“reporting”) can be invaluable assets for quick insights before an analysis is necessary
  • 41. 4. ANALYZE WHAT DOES THIS MEAN?
  • 42. 4. ANALYZE • Always go back to purpose & initial requirements • Let your curiosity roam • Find ways to challenge you & your data • Don’t take things at face value
  • 43. 4. ANALYZE – PREVIOUS STATE
  • 44. 4. ANALYZE – CURRENT STATE
  • 45. 5. PACKAGE FOR ACTION HERE’S WHAT WE’RE GOING TO DO
  • 46. 5. PACKAGE Discuss it Show it Share itExplain it
  • 47. 5. PACKAGE – PREVIOUS STATE Less than $2/pageview Kids get $10 prescriptions for fruits and veggies Get your kids ready for school sports Is joint replacement surgery right for you? Two great ways to help manage stress Sitting too much? 6 tips to de-germ your home Breast cancer is the most commonly diagnosed cancer in women after skin cancer 9 things to know about Alzheimer’s Disease What back-to-school immunizations does my child need? Preparing for your first mammogram Exchange your Halloween candy for fresh fruits and veggies Spend Pageviews
  • 48. 5. PACKAGE – CURRENT STATE 75,000 First time visitors to healthpartners.com via a Healthy Living blog post 15,000 20% of visitors returned to HP.com after finding us via the blog 5,000 Returned to do something else (find a doctor, find care, etc.) 10,000 Returned to read another blog post Finding: 33% of return visitors end up on service- oriented content pages
  • 49. 5. PACKAGE – CURRENT STATE Recommendation: Continue to optimize for search so our top-of-funnel/awareness channels, like social, are as effective as possible 0 200 400 600 800 1000 1200 1400 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Visits Organic Search Traffic to the Blog Organic Traffic Finding: 3x more users find us through organic search after initially finding us via the blog
  • 50. 5. PACKAGE – CURRENT STATE Finding Action Simple finding Actionable recommendation Simple finding Actionable recommendation Simple finding Actionable recommendation One-pager
  • 51. BRINGING IT ALL TOGETHER
  • 52. 5 STEPS TO A SUCCESSFUL ANALYSIS Execute P D E Purpose A Analyze P Package Design
  • 53. RESOURCES Email me – Joshua.d.moe@gmail.com Simo Ahava – https://www.simoahava.com Jan Exner - https://webanalyticsfordevelopers.com Jeff Sauer - https://www.jeffalytics.com (Analytics Course, DemandQuest, UST) Luna Metrics Blog - https://www.lunametrics.com/blog MinneAnalytics - http://minneanalytics.org
  • 54. YOU GET A RESOURCE, YOU GET A RESOURCE, EVERYONE GETS A RESOURCE!

Hinweis der Redaktion

  1. where the industry is with reporting vs analysis, leadership buy-in, analysis is only one input input the decision
  2. analysis is more strategic and not templated
  3. hyperbole of ai/machine learning
  4. true story – basis for the examples in upcoming slides
  5. these all must happen in order for the best results – you can overcome missteps but it makes it more difficult for the analysts
  6. back to social/blog example - value of returning users based on high new user rate from social promotion to the blog. what happens when/if they return?
  7. governance across enterprise for UTM tagging
  8. tells us what happened but not why
  9. stick to requirements, avoid vanity metrics, beware of analysis paralysis, hypothesis model – find all the ways in which your assumption is false – challenge your data know when the analysis is complete
  10. 88% of return traffic to the blog is via Facebook and 6.7% is organic search 63% of return traffic to non-blog content is social vs. 17.5% organic
  11. these all must happen in order for the best results – you can overcome misteps but it makes it more difficult for the analysts