Offers Insights
The Rewards/Offers page offers valuable insights into the performance of your various offers, empowering you to pinpoint top-performing initiatives and refine your promotional strategies for maximum effectiveness.
Things to Know
You must have Admin or Marketing Manager role permissions to view Rewards/Offers Insights.
You must first apply the required filters to view your results. The minimum required Rewards/Offers Insights filters are Month and at least 1 store location.

1. Filter Your Results
To view relevant data on the Offers page, all three filters below are required:
Start Date — Select any date in the past. This filters purchase, visit, and member event data based on the selected start date.
End Date — Select any date in the past, up to 31 days after the chosen Start Date. This defines the end of the filter range for all applicable data.
Store Locations — Select one or more active store locations. Purchase and visit data will be limited to the locations selected.
Note, there is a “No store” option which in some cases occurs when a member is imported without a favorite store preference.
Purchase, visit, and offer usage data is attributed to the local store time where the event took place. Whereas, any member profile data – such as their first association with your brand will be based in Coordinated Universal Time (UTC).
2. Download CSV Report
You can download the visible report as a comma-separated values (CSV) file to perform your own reporting or view the raw data for further analysis. Learn more about Download CSV Reports.
3. View Rewards & Offers Data Table
Earned — The number of a specific offer earned/issued within the time period.
Used — The number of a specific offer which was used before it expired.
Redemption Rate — The percentage of offers that were actually used. It is calculated by dividing the number of offers used by the total number of offers earned.
Members Converted — The number of members who used the specific offer. Note, a member can use the offer multiple times if they earned it more than once.