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REMIX SUMMIT-Daniel Waisberg, Analytics Advocate, Google
REMIX Day 2- Data the New Oil-Daniel Waisberg, Analytics Advocate, Google
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REMIX SUMMIT-Daniel Waisberg, Analytics Advocate, Google
- 1. Make The Most OutOf Your Data Google Confidential and Proprietary 1
- 2. Back in thedays… Google Confidential and Proprietary 2
- 3. Google Confidential andProprietary 3
- 4. Now! Google Confidential andProprietary 4
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- 12. We look atthis challenge through three lenses of measurement Holistic Measurement Full Credit Measurement Active Measurement Google Confidential and Proprietary 12
- 13. Holistic Measurement Google Confidentialand Proprietary 13
- 14. Google Confidential andProprietary 14
- 15. Non-linear and unpredictable Awareness Advocacy Consideration Purchase Evaluation GoogleConfidential and Proprietary 15
- 16. Multi-Device insights How muchof last summer’s ticket purchase on desktop originated from a mobile or tablet search? What is the total value across multiple touch-points of an acquired user? Is there a big overlap of my mobile and desktop user base? Google Confidential and Proprietary 16
- 17. Full Credit Measurement GoogleConfidential and Proprietary
- 18. Google Confidential andProprietary
- 19. The Customer Journeyto Online Purchase Google Confidential and Proprietary
- 20. The Customer Journeyto Online Purchase goo.gl/wmcaYP Google Confidential and Proprietary
- 21. Attribution helps solvetwo key problems Display Email Search Conversion Generic Search Brand Search Brand Search Conversion Google Confidential and Proprietary
- 22. Rule based attributionmodels Google Confidential and Proprietary
- 23. Data-Driven attribution model(premium) Google Confidential and Proprietary
- 24. Active Measurement Google Confidentialand Proprietary
- 25. Breaking through datasilos More complete measurement Inventory Ad Buying Smarter campaigns Conversions Offline Customer Data Google Confidential and Proprietary
- 26. More holistic view ofyour audience Cross-platform integration Attribution model Google Confidential and Proprietary
- 27. We can help! GoogleConfidential and Proprietary
- 28. Universal Analytics Google Confidentialand Proprietary
- 29. Session-based analytics Unique Visitor1 Discovery Unique Visitor 2 First Purchase Return Purchase Unique Visitor 3 Loyal Purchase Google Confidential and Proprietary 29
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- 31. Sequential Screening Google Confidentialand Proprietary 31
- 32. Sequential Screening Google Confidentialand Proprietary 32
- 33. Sequential Screening Google Confidentialand Proprietary 33
- 34. Measurement Protocol: NewData Collection Google Confidential and Proprietary
- 35. From website andmobile app analytics Desktop Website Mobile Web & App Google Confidential and Proprietary 35
- 36. To any otherdigital touch points Desktop Website Desktop Website TV Set-Top Box Mobile Web & App Point of Sale Google Confidential and Proprietary 36
- 37. Loves Data -www.youtube.com/watch?v=C27yMQOS8n0 Google Confidential and Proprietary 37
- 38. Dimension widening: moredata to GA Google Confidential and Proprietary 38
- 39. Dimension widening: moredata to GA Google Confidential and Proprietary 39
- 40. Upload Cost Data:Centralized Marketing Google Confidential and Proprietary 40
- 41. Google Confidential andProprietary 41
- 42. Google Confidential andProprietary 42
- 43. goo.gl/M8vEbk Google Confidential andProprietary 43
- 44. Three Takeaways 1. Usesegmentation to understand your customers’ path Google Confidential and Proprietary 44
- 45. Three Takeaways 1. Usesegmentation to understand your customers’ path 2. Check different Attribution Models applied to your data Google Confidential and Proprietary 45
- 46. Three Takeaways 1. Usesegmentation to understand your customers’ path 2. Check different Attribution Models applied to your data 3. Get started with Universal Analytics Google Confidential and Proprietary 46
- 47. Thank you andHappy Analyzing! +Daniel Waisberg @danielwaisberg Google Confidential and Proprietary