The Customer details page in Repeat Customer Insights shows what data the app has on a specific customer and how the analyses come out.
First there is the customer data from Shopify including the customer's name, email, what marketing consent they've given, and the ID from Shopify for the customer.
The customer's acquisition source and cohort are listed so you can learn when and where they came from.
Customer segmenting and RFM scores
The customer's segmenting information is listed for each of the analysis models, including their:
- RFM: Recency Frequency Monetary
- Customer Grading: A-F letter grades
- Automatic Segments
The RFM scores of each broken out with labels showing you where this customer's scores would rank them. e.g. are they in the top 20%, bottom 20%, middle 20%, etc.
Order data and analysis
Their ordering data is summarized so you can see when they last ordered, how many orders they have, and how much they've spent so far.
All of the orders are listed in sequence so you can see what their ordering timeline looks like. Cancelled orders listed separately, as they aren't used in any of the analyses.
If a customer removes their consent from your store (e.g. GDPR data deletion request), their data will be redacted and excluded from further analysis.
Find patterns in customer behavior
You don't have to be in the dark when it comes to your customers. Using their existing behavior, Repeat Customer Insights shows you patterns and optimization potential for Shopify stores, leading to more and better repeat customers.