Note: You must have the messaging recommendations feature enabled to access the Email Recommendations report/SMS Recommendations report in the Analytics menu. If you do not see the Email or SMS Recommendations report in the menu, reach out to your customer success manager.
This report tracks the performance of product recommendations delivered through email campaigns. It provides insights into shopper engagement, click behavior, and revenue attributed to these personalized emails.
Use this report to understand how well your email-driven product recommendations are performing and to identify areas to optimize for engagement or revenue.
You can see a quick demo of the report here.
Note: Historical data is available dating back to 2024-12-12.
Note: Visualizations (widgets) are sorted in descending order.
To see more about general report functionality, such as date ranges, scheduling, and downloads, click here.
All-touch Attribution
This report uses an "all touch" model for reporting logic. Whenever a shopper views or clicks a product within an email recommendation profile, that profile gets credit for the sale of the product, even if the shopper saw that product in more than one profile.
Attribution occurs when a shopper sees a product in a recommendation profile and then purchases that product within 24 hours.
Under "last touch" attribution, revenue would be attributed only to "bottom of funnel" profiles that were last seen by the shopper, which would skew the numbers in the report. The "all touch" model allows merchants to see how each profile placement has influenced the shopper's buying decision.
Note: Because every profile gets 100% attribution for the products that were viewed in that profile and purchased within 24 hours, the numbers do not sum up to the total Transaction Revenue – the sum of the Influenced Revenue values in the summary table (at the bottom of the report) will likely be higher than the Revenue metric at the top of the report.
For example, a shopper buys a $100 pair of shoes after seeing the shoes in the "Customers Also Viewed" profile first and in the "Side cart" profile second.
| Attribution type | Last-touch Attribution | All-touch Attribution | Revenue (top of report) |
| Customers Also Viewed profile | $0 | $100 | $100 |
| Side Cart profile | $100 | $100 | $100 |
Thus, if the total revenue in the Profile Breakdown looks higher than your actual site sales, this represents "influenced revenue", and because a single user touched multiple profiles, the revenue is attributed to both profiles to reflect that influence.
The Revenue total at the top of the report shows the actual money collected from unique transactions. However, the Summary Table uses an "all-touch" model to show influence. For example, if a customer sees recommendations from both Profile A and Profile B and then makes a $50 purchase, both profiles will show $50 in the summary table because they both helped drive the sale.
Visualization and report options
Within any visualization on the report, click the kebab menu (three dots) at the top right. Select "Download" to choose between an .xlsx or .csv export, or choose "Present" to view the visualization in full-screen mode.
The top right corner of the report has a separate kebab menu that offers "Download" and "Present" along with the options to create or manage schedules for sending this report.
Searching the report
By default, the report includes filter data for all refinements and categories. However, you may click the "Profile (Select)" button at the top of the page. A new "Search" window will appear and allow you to type in a search term and apply it to the report.
You may also search for specific keywords within this report; simply click the "Search" button at the top of the report. Search for the desired term and click "Apply" to save this refinement. The report will update to display your selected search.
To remove the applied search term, click the "Search" button again and un-check the search term, then click "Apply". The report will reset to its original state.
You may also click the "Show unfiltered values" toggle at the bottom of the search window. By default, values selected in other filters limit the values shown in this filter; enable the toggle to show all values. For example, if you choose "Country" as "U.S.", you will see only U.S. cities in the "City" filter. In this scenario, you would flip the toggle on (enabled) to see a list of all cities.
Visualizations
Total Views (Image renders)
This visualization provides the total number of views of email recommendations. These reference all images renders that are part of the email recommendation.
Note: When the email is opened, all images inside it render at the same time. Because of that, each image is counted separately. So if the email contains four recommended products, these will count as four views, not one. This is different from how on-site recommendations work; in on-site recommendations, even if a profile contains four products, we count the whole profile as one view, not four.
Total Clicks
This visualization displays the total number of product clicks on email recommendations.
Click-through Rate (CTR)
This number shows the percentage of product clicks (the click-through rate) on email recommendations.
Note: Because email recommendations count every image separately, the click-through rate will look lower than in personalized recommendations, where views are counted as one for the profile.
Revenue
This number shows the total revenue generated by email recommendations.
Note: If a customer makes a transaction within 24 hours of an email interaction, and the SKU, user_id, and email profile match, then we attribute revenue to it in this report.
Weekly Views Trend
This visualization shows the week-over-week trend for views of email recommendations.
Weekly Clicks Trend
This visualization shows the week-over-week trend for clicks on email recommendations.
Weekly CTR Trend
This visualization shows the week-over-week trend for the click-through rate on email recommendations.
Weekly Revenue Trend
This visualization shows the week-over-week trend for revenue generated by email recommendations.
Daily Profile Click Interactions chart
This chart shows the product clicks generated by email recommendations for the selected date range.
Total Revenue by Date chart
This chart shows the total revenue attributed to email recommendations for the selected date range.
Email Recommendations Summary table
The Summary table gives a detailed breakdown of the performance of each email profile used for recommendations. This will allow you to measure recommendations performance based on the type of recommendation so you can understand how engagement differs.
Label
The column in this table shows the name (label) of the email profile.
Tag
The column displays the tag (an Internal identifier) for the email profile.
Recommendation Type
The column displays the email profile's recommendation type, such as personal, trending, or custom.
Type
The column displays the type of the email, such as a newsletter.
Viewed
The column displays the number of times the selected email recommendation was seen.
Products Clicked
The column displays the number of products clicked from the selected email profile.
CTR
The column displays the click-through rate (CTR) for the selected email profile.
Conversion
The column displays the conversion rate for the selected email profile. This represents the percentage of times a shopper ordered a product that they viewed in recommendations.
AOV
The column displays the average order value (AOV) attributed to the selected email profile.
Revenue
The column displays the total revenue attributed to the selected email campaign.
Comments
0 comments
Article is closed for comments.