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HOW TO MEASURE DIGITAL MARKETING DMM 2016
THE Data explosion
The EXPONENTIAL growth of data
THE Data explosion
BETTER BUSINESS DECISIONS, RIGHT?
THE DATA EXPLOSION
SHOW what HAS HAPPENED?
  The rate of change and volumes and type of data has increased exponentially.
  The level and complexity required to understand and action business data has increased significantly.
  Understanding your marketing data is HARD, but it’s hard for everybody!
Effectiveness in web analytics
FAST, FLEXIBLE & SIMPLE (BUT NOT TOO SIMPLE!)
“Everything should be made as simple as possible, but no simpler”


Albert Einstein
THE DATA EXPLOSION
Our approach
  Simplify marketing and campaign measurement.

  Making marketing data accessible and meaningful.

  Empowering better media and marketing decisions.
WHAT’S THE RIGHT COMBINATION OF METRICS TO MEASURE
DIGITAL CUSTOMER EXPERIENCE ?
WHAT COMBINATION OF METRICS?
The short answer
  What constitutes a digital customer experience and what gives a digital customer experience value to a business?

  What models and metrics are available to meaningfully measure these experiences and attribute value to them?
Two KEY QUESTIONS
… It depends!
WHAT CONSTITUTES A DIGITAL CUSTOMER EXPERIENCE?
A DEFINITION
WHAT CONSTITUTES A DIGITAL CUSTOMER EXPERIENCE?
  Huge amount of different metrics from a range of campaign types. 
  Additional layers of website measurement & website interactions.
  Assigning value to all these different interactions.
  Justification for media and marketing investment.
  Making informed decisions based on interactions.
ISSUES & CHALLENGES
VALUING DIGITAL CUSTOMER EXPERIENCE
ISSUES & CHALLENGES
VALUING DIGITAL CUSTOMER EXPERIENCE
THE CONSUMER PATHWAY MODEL
Pre-Purchase & Purchase Stages!
Post-Purchase Stages!
Media or Campaign Layer!
Website Layer!
Marketing Automation & CRM
Layer!
VALUING DIGITAL CUSTOMER EXPERIENCE
Conversion metrics - ECOMMERCE
Ecommerce!
(Transactions,
Revenue, & Avg.
Order Value)
VALUING DIGITAL CUSTOMER EXPERIENCE
Conversion metrics - GOALS
Goal Completions!
Ecommerce!
(Transactions,
Revenue, & Avg.
Order Value)
Goal Value ($)*!
(Ave Sale Rev. x Goal-Sale
Rate = Ave Goal Value)
Page Value ($)!
Assisted Click Value ($)!
First Click Value ($)!
Goal Completions %!
Goal Abandonment
Rate%!
VALUING DIGITAL CUSTOMER EXPERIENCE
ENGAGEMENT METRICS
Goal Completions!
Ecommerce!
(Transactions,
Revenue, & Avg.
Order Value)
Goal Value ($)*!
(Ave Sale Rev. x Goal-Sale
Rate = Ave Goal Value)
Page Value ($)!
Assisted Click Value ($)!
First Click Value ($)!
Goal Completions %!
Goal Abandonment
Rate%!
Bounce Rate%!
VALUING DIGITAL CUSTOMER EXPERIENCE
ATTRACTION METRICS
Goal Completions!
Ecommerce!
(Transactions,
Revenue, & Avg.
Order Value)
Goal Value ($)*!
(Ave Sale Rev. x Goal-Sale
Rate = Ave Goal Value)
Page Value ($)!
Assisted Click Value ($)!
First Click Value ($)!
Goal Completions %!
Goal Abandonment
Rate%!
Bounce Rate%!
Click Thru Rate!
(CTR%)!
Impressions!
VALUING DIGITAL CUSTOMER EXPERIENCE
AWARENESS METRICS
Goal Completions!
Ecommerce!
(Transactions,
Revenue, & Avg.
Order Value)
Goal Value ($)*!
(Ave Sale Rev. x Goal-Sale
Rate = Ave Goal Value)
Page Value ($)!
Assisted Click Value ($)!
First Click Value ($)!
Goal Completions %!
Goal Abandonment
Rate%!
Bounce Rate%!
Click Thru Rate!
(CTR%)!
Impressions!
EXTENDED METRICS & MEASUREMENT
EXTENDING YOUR GOOGLE ANALYTICS METRICS BEYOND THE DEFAULT
  UTM-tracking non-Adwords campaigns, enable you to track email, social and other campaign types in Google Analytics.
  Cost-data import will allow you to get all your non-AW; Impression, click and campaign cost data into Google Analytics.
  Calculated Metrics will enable you to define additional metrics e.g. ‘cost per goal conversion’ and report on cost-per-
conversion, against all campaigns.
  Develop a weighted scorecard to define the relative values of each of your key campaign metrics.
  Use Supermetrics Data Grabber tool to automate non-AW data import into GA.
THANKS YOU & HAPPY ANALYSING!

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How to Measure Digital Marketing

  • 1. HOW TO MEASURE DIGITAL MARKETING DMM 2016
  • 2. THE Data explosion The EXPONENTIAL growth of data
  • 3. THE Data explosion BETTER BUSINESS DECISIONS, RIGHT?
  • 4. THE DATA EXPLOSION SHOW what HAS HAPPENED?   The rate of change and volumes and type of data has increased exponentially.   The level and complexity required to understand and action business data has increased significantly.   Understanding your marketing data is HARD, but it’s hard for everybody!
  • 5. Effectiveness in web analytics FAST, FLEXIBLE & SIMPLE (BUT NOT TOO SIMPLE!) “Everything should be made as simple as possible, but no simpler” Albert Einstein
  • 6. THE DATA EXPLOSION Our approach   Simplify marketing and campaign measurement.   Making marketing data accessible and meaningful.   Empowering better media and marketing decisions.
  • 7. WHAT’S THE RIGHT COMBINATION OF METRICS TO MEASURE DIGITAL CUSTOMER EXPERIENCE ?
  • 8. WHAT COMBINATION OF METRICS? The short answer   What constitutes a digital customer experience and what gives a digital customer experience value to a business?   What models and metrics are available to meaningfully measure these experiences and attribute value to them? Two KEY QUESTIONS … It depends!
  • 9. WHAT CONSTITUTES A DIGITAL CUSTOMER EXPERIENCE? A DEFINITION
  • 10. WHAT CONSTITUTES A DIGITAL CUSTOMER EXPERIENCE?   Huge amount of different metrics from a range of campaign types.   Additional layers of website measurement & website interactions.   Assigning value to all these different interactions.   Justification for media and marketing investment.   Making informed decisions based on interactions. ISSUES & CHALLENGES
  • 11. VALUING DIGITAL CUSTOMER EXPERIENCE ISSUES & CHALLENGES
  • 12. VALUING DIGITAL CUSTOMER EXPERIENCE THE CONSUMER PATHWAY MODEL Pre-Purchase & Purchase Stages! Post-Purchase Stages! Media or Campaign Layer! Website Layer! Marketing Automation & CRM Layer!
  • 13. VALUING DIGITAL CUSTOMER EXPERIENCE Conversion metrics - ECOMMERCE Ecommerce! (Transactions, Revenue, & Avg. Order Value)
  • 14. VALUING DIGITAL CUSTOMER EXPERIENCE Conversion metrics - GOALS Goal Completions! Ecommerce! (Transactions, Revenue, & Avg. Order Value) Goal Value ($)*! (Ave Sale Rev. x Goal-Sale Rate = Ave Goal Value) Page Value ($)! Assisted Click Value ($)! First Click Value ($)! Goal Completions %! Goal Abandonment Rate%!
  • 15. VALUING DIGITAL CUSTOMER EXPERIENCE ENGAGEMENT METRICS Goal Completions! Ecommerce! (Transactions, Revenue, & Avg. Order Value) Goal Value ($)*! (Ave Sale Rev. x Goal-Sale Rate = Ave Goal Value) Page Value ($)! Assisted Click Value ($)! First Click Value ($)! Goal Completions %! Goal Abandonment Rate%! Bounce Rate%!
  • 16. VALUING DIGITAL CUSTOMER EXPERIENCE ATTRACTION METRICS Goal Completions! Ecommerce! (Transactions, Revenue, & Avg. Order Value) Goal Value ($)*! (Ave Sale Rev. x Goal-Sale Rate = Ave Goal Value) Page Value ($)! Assisted Click Value ($)! First Click Value ($)! Goal Completions %! Goal Abandonment Rate%! Bounce Rate%! Click Thru Rate! (CTR%)! Impressions!
  • 17. VALUING DIGITAL CUSTOMER EXPERIENCE AWARENESS METRICS Goal Completions! Ecommerce! (Transactions, Revenue, & Avg. Order Value) Goal Value ($)*! (Ave Sale Rev. x Goal-Sale Rate = Ave Goal Value) Page Value ($)! Assisted Click Value ($)! First Click Value ($)! Goal Completions %! Goal Abandonment Rate%! Bounce Rate%! Click Thru Rate! (CTR%)! Impressions!
  • 18. EXTENDED METRICS & MEASUREMENT EXTENDING YOUR GOOGLE ANALYTICS METRICS BEYOND THE DEFAULT   UTM-tracking non-Adwords campaigns, enable you to track email, social and other campaign types in Google Analytics.   Cost-data import will allow you to get all your non-AW; Impression, click and campaign cost data into Google Analytics.   Calculated Metrics will enable you to define additional metrics e.g. ‘cost per goal conversion’ and report on cost-per- conversion, against all campaigns.   Develop a weighted scorecard to define the relative values of each of your key campaign metrics.   Use Supermetrics Data Grabber tool to automate non-AW data import into GA.
  • 19. THANKS YOU & HAPPY ANALYSING!