Reporting on individual metrics in isolation will only get you so far. Data-driven decision making requires deeper analysis that includes additional context. This context often comes from a variety of data sources, many of which are siloed. Learn about the importance of data context, as well as specific steps on how to provide context across a variety of data sources.
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
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
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
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
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
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
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
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
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
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
where the industry is with reporting vs analysis, leadership buy-in, analysis is only one input input the decision
analysis is more strategic and not templated
hyperbole of ai/machine learning
true story – basis for the examples in upcoming slides
these all must happen in order for the best results – you can overcome missteps but it makes it more difficult for the analysts
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?
governance across enterprise for UTM tagging
tells us what happened but not why
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
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
these all must happen in order for the best results – you can overcome misteps but it makes it more difficult for the analysts