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Get an email and quick summary every time a video is released: https://data.mergeyourdata.com/90-day-youtube-sprint
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Original YouTube video: https://youtu.be/YYbJCFCNPko
Attribution vs. Signals: Comparing Methods for Better Marketing Insights | Day 12 of 90-Day YouTube Sprint
In Day 12 of the 90-Day YouTube Sprint, Dan Saavedra of MergeYourData discusses the evolving debate between attribution and signals in marketing analytics. He explores the strengths and limitations of both methods, revealing how they can be used together to improve customer journey mapping, conversion rates, and marketing efficiency. Ideal for teams involved in revenue operations, marketing, or sales, this video aims to enhance data-driven decision-making by clarifying when to use attribution or signals for optimal results.
00:00 Introduction to Attribution vs. Signals
01:06 Who Should Watch This Video
03:11 Understanding Attribution
05:34 Limitations of Attribution
06:44 Introduction to Signals
11:32 Comparing Attribution and Signals
13:47 Practical Tips and Conclusion
Get an email and quick summary every time a video is released: https://data.mergeyourdata.com/90-day-youtube-sprint
or book a call with the team www.mergeyourdata.com
Original YouTube video: https://youtu.be/YYbJCFCNPko
Attribution vs. Signals: Comparing Methods for Better Marketing Insights | Day 12 of 90-Day YouTube Sprint
In Day 12 of the 90-Day YouTube Sprint, Dan Saavedra of MergeYourData discusses the evolving debate between attribution and signals in marketing analytics. He explores the strengths and limitations of both methods, revealing how they can be used together to improve customer journey mapping, conversion rates, and marketing efficiency. Ideal for teams involved in revenue operations, marketing, or sales, this video aims to enhance data-driven decision-making by clarifying when to use attribution or signals for optimal results.
00:00 Introduction to Attribution vs. Signals
01:06 Who Should Watch This Video
03:11 Understanding Attribution
05:34 Limitations of Attribution
06:44 Introduction to Signals
11:32 Comparing Attribution and Signals
13:47 Practical Tips and Conclusion