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 SMS campaigns. It provides insights into shopper engagement, click behavior, and revenue attributed to these personalized messages. You can see a quick demo of the report here.
Note: SMS messages don’t always display images; they mainly include a link to the product or page. Because of this, the page link is the primary action tracked rather than the image link.
Use this report to understand how well your SMS-driven product recommendations are performing and to identify areas to optimize for engagement or revenue.
Note: Historical data is available dating back to 2025-01-21.
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 SMS 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.
Visualizations
Revenue
This number shows the total revenue generated by SMS recommendations.
Total Clicks
This visualization displays the total number of clicks on SMS recommendations.
Total Image Renders
This visualization provides information about the total number of views of SMS recommendations.
Weekly Revenue Trend
This visualisation shows the week-over-week trend for revenue generated by SMS recommendations.
Weekly Clicks Trend
This visualisation shows the week-over-week trend for clicks on SMS recommendations.
Weekly Image Render Trend
This visualisation shows the week-over-week trend for the total number of views of SMS recommendations.
Daily Profile Click Interactions chart
This chart shows the product clicks generated by SMS recommendations for the selected date range.
Total Revenue by Date chart
This chart shows the total revenue attributed to SMS recommendations for the selected date range.
SMS Recommendations Summary table
The Summary table gives a high-level overview of performance of each SMS profile used for recommendations.
Label
The column in this table shows the name (label) of the SMS profile.
Tag
The column displays the tag (an internal identifier) for the SMS profile.
Recommendation Type
The column displays the SMS profile's recommendation type, such as personal, trending, or custom.
Type
The column displays the type of the SMS profile, such as abandoned cart, welcome notice, promotion, or another type.
Viewed
The column displays the number of times an SMS recommendation image was seen for the selected SMS profile.
Products Clicked
The column displays the number of products clicked from the selected SMS profile.
CTR
The column displays the click-through rate (CTR) for the selected SMS profile.
Conversion
The column displays the conversion rate for the selected SMS profile — the percentage of clicks that resulted in a purchase.
AOV
The column displays the average order value (AOV) for products that the shopper viewed in the selected SMS profile.
Revenue
The column displays the total revenue attributed to the selected SMS campaign.
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