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© 2016 Flashtalking. Confidential and may not be shared without permission.
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Making Cross Device Attribution Work
Robert Foulkes, Monarch Airlines
Steve Latham, Flashtalking
March 2017
© 2016 Flashtalking. Confidential and may not be shared without permission.
><
In-AppIn-App Mobile Web Search
Applying cross-device to attribution
Using Tapad’s Device Graph and fTrack to unify the customer journey…
Pre-roll video Dynamic Creative
Static
…we can attribute credit where it’s due
© 2016 Flashtalking. Confidential and may not be shared without permission.
><
3
Cross device attribution case study
Key Insights
• 38% of visitor IDs were cookie rejecters
• 42% of converters were matched to Tapad device graph
• 61% of matched converting IDs were bridged (2.0 per User)
• 30% of users visited website(s) on more than 1 device
• Unifying data resulted in a 35% lift in Display ROI*
(not all vendors benefited)
38%
Reject
Cookies
42%
Match Rate
61%
Bridge Rate
Takeaways:
• Cross-device insights are becoming increasingly important
• Cookieless tracking enables higher match & bridge rates
2.0
IDs per User
35%
Display ROI
Lift*
*Overall lift was 9% on 26% of converters. When extrapolated to 100% of converters, lift would be 35%
30%
> 1 Device
© 2016 Flashtalking. Confidential and may not be shared without permission.
>< 4
Understanding cross device behaviour
• Industry standard booking %’s - but data
is needed back up assumptions
• Cross device data illuminates mobile’s
role in the customer journey

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Deck 4.5 Case Study: Cross Device Attribution

  • 1. © 2016 Flashtalking. Confidential and may not be shared without permission. 25% 15% 30% 15% 15% Making Cross Device Attribution Work Robert Foulkes, Monarch Airlines Steve Latham, Flashtalking March 2017
  • 2. © 2016 Flashtalking. Confidential and may not be shared without permission. >< In-AppIn-App Mobile Web Search Applying cross-device to attribution Using Tapad’s Device Graph and fTrack to unify the customer journey… Pre-roll video Dynamic Creative Static …we can attribute credit where it’s due
  • 3. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 3 Cross device attribution case study Key Insights • 38% of visitor IDs were cookie rejecters • 42% of converters were matched to Tapad device graph • 61% of matched converting IDs were bridged (2.0 per User) • 30% of users visited website(s) on more than 1 device • Unifying data resulted in a 35% lift in Display ROI* (not all vendors benefited) 38% Reject Cookies 42% Match Rate 61% Bridge Rate Takeaways: • Cross-device insights are becoming increasingly important • Cookieless tracking enables higher match & bridge rates 2.0 IDs per User 35% Display ROI Lift* *Overall lift was 9% on 26% of converters. When extrapolated to 100% of converters, lift would be 35% 30% > 1 Device
  • 4. © 2016 Flashtalking. Confidential and may not be shared without permission. >< 4 Understanding cross device behaviour • Industry standard booking %’s - but data is needed back up assumptions • Cross device data illuminates mobile’s role in the customer journey