One problem with analytics systems like Repeat Customer Insights is knowing where to focus.
The systems can assemble a lot of data, convert it into information, and present it in numbers, charts, or graphs. But going from there to actual business decisions and changes is the gap.
In the app I try to add as much advice as I can around the various reports but it can still be difficult to know where to go first.
When looking at repeat customers, there are a handful of areas to focus on to start:
- Which customers are exhibiting loyal behavior? This is the bread and butter of customer loyalty and customer retention.
- Which new customers have the potential to become loyal customers? These customers are next year's loyal customers and need to be nurtured.
- What acquisition sources are creating repeat customers? Finding out more about where your best customers come from can help you prioritize your resources and effort.
Asking those three questions will go a long way toward using repeat customer analytics successfully. Each question has deep depths but once you start looking, you'll be able to find your way around better.
To simplify solving these questions, I've added Focus reports to Repeat Customer Insights. One for analyzing loyal customers and one for new customers who could turn loyal.
(I also added a third to help Shopify stores having trouble in a down economy)
Understand how your store's customers are behaving and then finding ways to improve can become easier.
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.