Email Recommendations report

The report shows how shoppers engage with email recommendations, and it measures the recommendations' impact on conversion and order value.

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 a 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.

Influenced Revenue

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.

Thus, if the total revenue in the summary table (at the bottom of the report) 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

In 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 "Search" button at the top of the page and use the tabs along the top to include or exclude terms. 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

Total Views (Image renders)

This table provides information about the total number of views of email recommendations.

Total Clicks

This visualization displays the total number of clicks on email recommendations.

Click-through Rate (CTR)

This number shows the percentage click-through rate for email recommendations.

Revenue

This visualization shows the total effective revenue (unique transactions) attributed to email recommendations for the selected date range. It will likely be lower than the sum of influenced revenue shown in the Email Recommendations Summary table below.

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 high-level overview of performance of each email profile used for recommendations.

Profile Name

The column in this table shows the name of the email profile.

Tag

The column displays the tag 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 profile, such as abandoned cart, welcome notice, or another type.

Viewed

The column displays the numbers of views for the selected email profile.

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.

AOV

The column displays the average order value (AOV) attributed to the selected email profile. The AOV considers all the products in the transaction, and this calculation is based on a 24-hour window. It includes both campaign- and category-related products and any other products purchased in the same transaction.

Note: Revenue only counts products that were interacted with through the campaign/category. Because of this difference, AOV can be higher than revenue in some cases.

Influenced Revenue

The column displays the influenced revenue attributed to the selected email profile.