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© 2016 Flashtalking. Confidential and may not be shared without permission.
25% 15% 30% 15% 15%
Keys to Successful Attribution
Steve Latham, Head of Analytics
May 2017
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 2
The customer journey is increasingly complex
Fractional Attribution
…Highlighting the need for accurate attribution
© 2016 Flashtalking. Confidential and may not be shared without permission.
><
The problem with “old” attribution
Last-touch (100%)
• Penalizes upper funnel ads
• Rewards low-funnel ads
• Encourages bad behavior (cookie bombing)
Even weighted
• Gives credit to every ad – regardless of impact
• Penalizes quality ads and rewards cookie bombing
First touch (100%)
• Rewards ads that may not have been noticed
• Penalizes middle and lower funnel
Time Decay
• Rewards most recent ads – regardless of impact
• Penalizes upper funnel ads
Display Imp: #1
Paid
Visit
#1
Display Imp: #4 Display Imp: #3
Display Imp: #2
Paid
Visit
#2
Non-
Paid
Visit
Display Imp: #5 Conversion
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 4
Bad attribution can do more harm than good
Fractional Attribution
30-50% of
Last-Touch
Signals are
WRONG
© 2016 Flashtalking. Confidential and may not be shared without permission.
><
Solution: algorithmic fractional attribution
Approach
• Unify customer journey (across platforms)
• Use validated, machine learning models to measure
contribution of each touchpoint
• Allocate fractional credit to each channel, placement,
creative and keyword
• Use those insights to optimize spend
Benefits:
• Accurate insights: cross-channel / full-funnel
• Transparency + confidence
• Higher returns from digital media
Display Imp: #1
Paid
Visit
#1
Display Imp: #4 Display Imp: #3
Display Imp: #2
Paid
Visit
#2
Non-
Paid
Visit
Display Imp: #5 Conversion
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 6
5 Keys to Successful Attribution
FRACTIONAL ATTRIBUTION
1. Unified data
2. Validated models
3. Intuitive reporting
4. Actionable recommendations
5. Ecosystem friendly
© 2016 Flashtalking. Confidential and may not be shared without permission.
><
7
Requirement #1: Comprehensive, unified data
FRACTIONAL ATTRIBUTION
Desktop
Impression
CONVERSION PATH ASSEMBLY
Non-Paid
Click
Conversion
Desktop Click
In-App
Impression
Desktop
Impression
In-App
Impression
Mobile Web
Impression
In-App
Impression
VISUALIZATION
DATA INPUTS
In-App Ads
Desktop Ads
Mobile Ads
Conversions
AD SERVER
ALGORITHMIC
MODELING
No redundant tagging.
No discrepancies.
Better data.
Better insights.
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 8
Requirement #2: Validated Models
FRACTIONAL ATTRIBUTION
Split the data into two representative groups: Training and Holdout
Run model(s) against the Training group
Validate the outputs against a holdout group to determine the predictive accuracy
Machine Learning Validation
Models must be validated. Validate predictions against a holdout group
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 9
Requirement #3: Intuitive reporting
FRACTIONAL ATTRIBUTION
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 10
Requirement #4: Actionable recommendations
FRACTIONAL ATTRIBUTION
© 2016 Flashtalking. Confidential and may not be shared without permission.
><
Fractional Attribution
11
FRACTIONAL ATTRIBUTION
Dynamic Ad Serving
Cookieless tracking
Delivery
Programmatic
Creative
Data and Reporting
Standard Ad Serving
Verification & Fraud
Cross-Device
Offline Sales
DMP Segments
Requirement #5: Ecosystem friendly (frictionless)
© 2016 Flashtalking. Confidential and may not be shared without permission.© 2016 Flashtalking. Confidential and may not be shared without permission.
…For those who thought Data and Creativity
could not co-exist…
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 13
Introducing Creative Analytics
Problem: traditional metrics are flawed
• Click-through rates are misleading
• Last-touch favors low funnel (penalizes upper funnel)
• Bias exists among placements and audiences
Solution: Creative Analytics
• Remove underperforming placements
• Cluster Users based on behavior
• Analyze Creatives within each Cluster
using algorithmic models
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 14
Inside Creative Analytics
1. Remove underperforming placements via attribution modeling
2. Cluster Users based on complexity and conversion probability (via Entropy and Turbulence modeling)
3. Analyze creatives within each cluster and Index based on probability of converting
Data Driven approach to measuring creative performance
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 15
Creative Case Study: Fortune 500 Bank
Last-touch: Dynamic ads had 15% higher CPA than Control (Static) group
With Creative Analytics we discovered:
• Dynamic outperformed by 40% (25% lower CPA)
• 38% of Control converters were exposed to Dynamic
Dynamic ads outperformed
Control group on each site
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 16
In Closing…
Multi-touch attribution is no longer a luxury – it’s a necessity
Benefits
• Better insights
• Superior performance
• Less friction
• Higher ROE: Return On Effort
Keys to Success
• Unified data
• Validated models
• Intuitive reporting
• Actionable recommendations
• Ecosystem friendly

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Deck 2: Attribution + Creative Analytics

  • 1. © 2016 Flashtalking. Confidential and may not be shared without permission. 25% 15% 30% 15% 15% Keys to Successful Attribution Steve Latham, Head of Analytics May 2017
  • 2. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 2 The customer journey is increasingly complex Fractional Attribution …Highlighting the need for accurate attribution
  • 3. © 2016 Flashtalking. Confidential and may not be shared without permission. >< The problem with “old” attribution Last-touch (100%) • Penalizes upper funnel ads • Rewards low-funnel ads • Encourages bad behavior (cookie bombing) Even weighted • Gives credit to every ad – regardless of impact • Penalizes quality ads and rewards cookie bombing First touch (100%) • Rewards ads that may not have been noticed • Penalizes middle and lower funnel Time Decay • Rewards most recent ads – regardless of impact • Penalizes upper funnel ads Display Imp: #1 Paid Visit #1 Display Imp: #4 Display Imp: #3 Display Imp: #2 Paid Visit #2 Non- Paid Visit Display Imp: #5 Conversion
  • 4. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 4 Bad attribution can do more harm than good Fractional Attribution 30-50% of Last-Touch Signals are WRONG
  • 5. © 2016 Flashtalking. Confidential and may not be shared without permission. >< Solution: algorithmic fractional attribution Approach • Unify customer journey (across platforms) • Use validated, machine learning models to measure contribution of each touchpoint • Allocate fractional credit to each channel, placement, creative and keyword • Use those insights to optimize spend Benefits: • Accurate insights: cross-channel / full-funnel • Transparency + confidence • Higher returns from digital media Display Imp: #1 Paid Visit #1 Display Imp: #4 Display Imp: #3 Display Imp: #2 Paid Visit #2 Non- Paid Visit Display Imp: #5 Conversion
  • 6. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 6 5 Keys to Successful Attribution FRACTIONAL ATTRIBUTION 1. Unified data 2. Validated models 3. Intuitive reporting 4. Actionable recommendations 5. Ecosystem friendly
  • 7. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 7 Requirement #1: Comprehensive, unified data FRACTIONAL ATTRIBUTION Desktop Impression CONVERSION PATH ASSEMBLY Non-Paid Click Conversion Desktop Click In-App Impression Desktop Impression In-App Impression Mobile Web Impression In-App Impression VISUALIZATION DATA INPUTS In-App Ads Desktop Ads Mobile Ads Conversions AD SERVER ALGORITHMIC MODELING No redundant tagging. No discrepancies. Better data. Better insights.
  • 8. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 8 Requirement #2: Validated Models FRACTIONAL ATTRIBUTION Split the data into two representative groups: Training and Holdout Run model(s) against the Training group Validate the outputs against a holdout group to determine the predictive accuracy Machine Learning Validation Models must be validated. Validate predictions against a holdout group
  • 9. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 9 Requirement #3: Intuitive reporting FRACTIONAL ATTRIBUTION
  • 10. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 10 Requirement #4: Actionable recommendations FRACTIONAL ATTRIBUTION
  • 11. © 2016 Flashtalking. Confidential and may not be shared without permission. >< Fractional Attribution 11 FRACTIONAL ATTRIBUTION Dynamic Ad Serving Cookieless tracking Delivery Programmatic Creative Data and Reporting Standard Ad Serving Verification & Fraud Cross-Device Offline Sales DMP Segments Requirement #5: Ecosystem friendly (frictionless)
  • 12. © 2016 Flashtalking. Confidential and may not be shared without permission.© 2016 Flashtalking. Confidential and may not be shared without permission. …For those who thought Data and Creativity could not co-exist…
  • 13. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 13 Introducing Creative Analytics Problem: traditional metrics are flawed • Click-through rates are misleading • Last-touch favors low funnel (penalizes upper funnel) • Bias exists among placements and audiences Solution: Creative Analytics • Remove underperforming placements • Cluster Users based on behavior • Analyze Creatives within each Cluster using algorithmic models
  • 14. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 14 Inside Creative Analytics 1. Remove underperforming placements via attribution modeling 2. Cluster Users based on complexity and conversion probability (via Entropy and Turbulence modeling) 3. Analyze creatives within each cluster and Index based on probability of converting Data Driven approach to measuring creative performance
  • 15. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 15 Creative Case Study: Fortune 500 Bank Last-touch: Dynamic ads had 15% higher CPA than Control (Static) group With Creative Analytics we discovered: • Dynamic outperformed by 40% (25% lower CPA) • 38% of Control converters were exposed to Dynamic Dynamic ads outperformed Control group on each site
  • 16. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 16 In Closing… Multi-touch attribution is no longer a luxury – it’s a necessity Benefits • Better insights • Superior performance • Less friction • Higher ROE: Return On Effort Keys to Success • Unified data • Validated models • Intuitive reporting • Actionable recommendations • Ecosystem friendly