I've written about how the new Average Customer feature from Repeat Customer Insights can be used to make customer acquisition more data-driven but there are a handful of other uses for it.
- Creating customer personas, e.g. Sally is an above-average customer, Rob is average.
- Timing marketing campaigns.
- Repositioning out of your current market and comparing how your current customers compare.
- Planning how many sales/promotions to fit in a year based on customer lifetimes and latencies.
There are a couple of other analyses I'm looking at adding to this dashboard, specially around products.
If you're not a customer yet, you can try out the demo with sample data, or sign-up for the 14-day free trial.
Eric Davis
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.