Hi all,
I just wanted to double check something that we learned from the Product Roadmap session yesterday. (which was fantastic, by the way)
Just want to confirm that the Continuous Revenue Metric recently released will be used by Adobe's ML to Train the model on the Revenue metric, and that we're able to view results in Analytics.
Those were the Notes I wrote down when that was presented, but just wanted to confirm.
Thanks,
Lisa
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Hello! Thank you for the feedback on last week's roadmap presentation. We are always happy to hear when customers are getting value from listening in.
To answer your question, yes! You can now choose metrics based on continuous events (Revenue per Visitor, Average Order Value, Total Sales, Orders etc) when using A4T and Adobe's ML models in Auto-Allocate and Auto-Target activities. You can view results in Adobe Analytics with all the same analysis and integration benefits.
Links from release notes "Optimized A4T metrics..."
https://experienceleague.adobe.com/docs/target/using/release-notes/release-notes.html?lang=en
Docs on Success Metrics:
https://experienceleague.adobe.com/docs/target/using/activities/success-metrics/success-metrics.html...
-Brent
Hello! Thank you for the feedback on last week's roadmap presentation. We are always happy to hear when customers are getting value from listening in.
To answer your question, yes! You can now choose metrics based on continuous events (Revenue per Visitor, Average Order Value, Total Sales, Orders etc) when using A4T and Adobe's ML models in Auto-Allocate and Auto-Target activities. You can view results in Adobe Analytics with all the same analysis and integration benefits.
Links from release notes "Optimized A4T metrics..."
https://experienceleague.adobe.com/docs/target/using/release-notes/release-notes.html?lang=en
Docs on Success Metrics:
https://experienceleague.adobe.com/docs/target/using/activities/success-metrics/success-metrics.html...
-Brent
Brent, thank you so much for confirming! We loved the roadmap session - so informative! Thank you, thank you!
-Lisa
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