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Understanding Signal Analytics: Beyond the Basics (Day 22 of the 90-Day YouTube Sprint)
Join Dan Saavedra from MergeYourData on day 22 of the 90-day YouTube sprint as he delves deeper into the world of signal analytics. In this episode, Dan explores a comprehensive graphic to discuss the four key aspects of signal analytics: attribution, unit economics, dimensional data, and conversion optimization. He also presents two metaphors to illustrate the importance of setting up a strong foundation and using signal analytics as a roadmap for business success. Don’t miss out on expert insights into optimizing revenue growth and achieving your business goals with accurate data signals.
00:00 Introduction to Signal Analytics
00:48 Deep Dive into Signal Analytics Graphic
01:35 Understanding Attribution and Unit Economics
02:38 Exploring Dimensional Data
04:08 Conversion Optimization Insights
05:54 Building a Foundation for Signal Analytics
14:07 Signal Analytics as a Map
17:11 Conclusion and Next Steps
Get the free B2B SIGNAL CONSTRUCTOR here: https://data.mergeyourdata.com/90-day-youtube-sprint
or book a call with the team www.mergeyourdata.com
Understanding Signal Analytics: Beyond the Basics (Day 22 of the 90-Day YouTube Sprint)
Join Dan Saavedra from MergeYourData on day 22 of the 90-day YouTube sprint as he delves deeper into the world of signal analytics. In this episode, Dan explores a comprehensive graphic to discuss the four key aspects of signal analytics: attribution, unit economics, dimensional data, and conversion optimization. He also presents two metaphors to illustrate the importance of setting up a strong foundation and using signal analytics as a roadmap for business success. Don’t miss out on expert insights into optimizing revenue growth and achieving your business goals with accurate data signals.
00:00 Introduction to Signal Analytics
00:48 Deep Dive into Signal Analytics Graphic
01:35 Understanding Attribution and Unit Economics
02:38 Exploring Dimensional Data
04:08 Conversion Optimization Insights
05:54 Building a Foundation for Signal Analytics
14:07 Signal Analytics as a Map
17:11 Conclusion and Next Steps