There are several ways in which you can compare the performance of recommendation schemes and optimize your campaigns. You can also measure the performance of recommendations after a campaign is completed. 

A/B Tests

After you configure recommendation schemes, you can run A/B tests to compare the performance of two or more schemes. 

Create two templates, A and B, which use different recommendation schemes and run an A/B test.

  • See how the click through rate on a creative differs depending upon the recommendation algorithm.
  • For email templates, view the template click heat map to find out which recommendation scheme has a better conversion rate.

Insights: Campaign Performance Reports

Impact of including recommendations

Create an Insights > Campaign Performance report to measure campaign performance with and without recommendations. Group by ‘uses recommendations’.

Usage and Impact of AI Dashboard

The Usage and Impact of AI dashboard provides you with an analysis of how AI features like recommendations and send time optimization impacted your campaign metrics and business goals. You can use this information to optimize your campaigns and increase revenue. 

For more information, see Insights reports.

Insights: Recommended Items Reports

Most recommended items

Create an Insights > Recommended Items report to find the recommended items and the recommendation blocks with the highest sends, clicks, and click through rate. You can further dissect this information based on channel, campaigns, segments, templates, recommendation schemes, recommendation blocks, and so on.

For more information, see Insights reports.

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