The Customer details page in Repeat Customer Insights shows what data the app has on a specific customer and how the analyses come out.
Customer data
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.
Consent tracking
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.
Segment your customers to find the diamonds in the rough
Not all customers are equal but it is difficult to dig through all of your data to find the best customers.
Repeat Customer Insights will automatically analyze your Shopify customers to find the best ones. With over 150 segments applied automatically, it gives your store the analytics power of the big stores but without requiring a data scientist on staff.