Report: Personalized Recommendations

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This report provides metrics for Searchspring's Personalized Recommendations product offering. 

The Product Recommendations report uses Searchspring’s recommendations tracking data to provide you with metrics that explain how shoppers are interacting with recommendations on your site. You can use this report to learn which recommendation profiles are being viewed by shoppers and understand whether the recommended products are driving engagement and conversion.

This report uses IntelliSuggest and Beacon Tracking to generate metrics based on shopper engagement with recommendations. If you do not have tracking enabled, please contact support to ensure it is set up for your site.

Date Range

The date selector at the top right of the page is used to change the range of dates for which you'd like to view details of this report. When you select a date range by clicking on the blue calendar icon, the chart will update with the revenue trend attributed to recommendations during the date range selected.

Currency

Use the drop-down menu to select which currency to use. The system will load data for the first currency when a default value isn't available.

Revenue Chart

The chart is a trend of revenue attributed to recommendations over the date range selected.

Report Highlights

At the side of the chart, you will find some key metrics for an “at-a-glance” indicator of recommendations performance. The highlighted metrics are:

  • Revenue: The total value of recommended products sold.
  • Total Views: The total number of times recommendations have been viewed on your site.
  • Click Through Rate: Percent of recommended profiles that were clicked by a shopper.
  • Impression Rate: Percent of times that recommendations loaded on the page were viewed by shoppers.

Recommendations Profiles

Beneath the chart, you will find a table that breaks down the performance of each recommendations profile. This will allow you to measure recommendations performance based on the type of recommendation or the page placement, so that you can understand how engagement differs based on the stage of the shopper journey.

A Recommendations Profile is a single recommendation type deployed in a specific location on your site. Pages can contain one or more recommendations profiles, depending on your strategy. See Creating a New Profile for more information on how recommendation profiles work.

Report Metrics

Name

This column displays the name of the recommendations profile.

Placement

This column shows the page on your site where the recommendations profile is implemented. This placement is set when the recommendations profile is created. If that profile was implemented using a different placement than what’s in the profile, the report will match what is set in the profile.

Type

This column displays the type of recommendation used by the profile. For more details on recommendation types, see Creating a New Profile.

Viewed

This column shows the number of times the profile has been viewed by a shopper. The shopper has to physically scroll to the profile to count as a view.

Impression Rate

This column displays the percentage of times a rendered recommendations profile was viewed by a shopper after being loaded on the page. It is intended to let the user measure whether customers have scrolled to view the recommendations placed on a page.

Why is this important? If recommendations are poorly positioned on the page, it can have a negative impact on metrics further down the conversion funnel.

Products Clicked

This column shows the number of times that a recommended product was clicked by a shopper.

CTR (Click-through Rate)

This represents the % of times a shopper clicked a profile that was recommended to them. It is intended to measure shopper engagement with recommended products.

Why is this important? This allows users to measure recs engagement separate from the order funnel. It’s possible that there are reasons unrelated to recommendations that might cause a shopper to not purchase a recommended product that interests them, such as shipping fees or a poor checkout experience.

Conversion Rate

This column represents the percentage of times a shopper ordered a product that they viewed in recommendations, regardless of whether or not they clicked on the product in recommendations. For example, if a shopper happened to see replacement strings suggested as a cross-sell recommendation on an acoustic guitar PDP, but ended up clicking and purchasing the same product from a category page later in their session, we would still consider the order as an “impression conversion” (or “view-thru conversion.”)

Why is this important? While it’s not as direct as a click, seeing a product in recommendations is still expected to have an impact on a shopper’s buying decision. This allows merchandisers to capture the indirect impact of products viewed from recommendations on their overall conversion rate.

AOV

This column shows the average order value (AOV) for orders containing products that the shopper viewed in this profile.

Revenue

This column shows the total monetary value of recommended products sold after they were viewed by a shopper, per the selected currency for this report. Revenue is attributed to recommendations when a shopper orders a product that they saw recommended to them within the same session or within 24 hours of the impression event. 

Here is what would be included in reporting for revenue:

  • If a shopper viewed the product in recommendations but did not click on it before ordering
  • If a shopper viewed the product as the result of multiple recommendations profiles, revenue (as well as other key metrics) will be attributed to the profile they engaged with last

Here is what would not be included in reporting for revenue:

  • Does not include orders if an order and the impression are not in the same session
  • Does not include orders if a session lasts for longer than 24 hours and there is more than a day between when the shopper clicked or viewed the product and their order of that product 

Table Tools

The table has some additional tools that allow you to easily navigate the data:

  • Search the table: You can filter the table to only show rows that contain certain terms by searching in the box at the top right.
  • Export: Clicking an export button at the top right allows you to save a CSV file of this table.
  • Drill-down into a profile: Clicking the Profile Name allows you to filter the report to show data for that specific profile and view trends over time.

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