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
Refine your automated marketing campaigns with better timing
When building any automated marketing campaign that sends messages over time, you need to know how long the campaign should be and how long to delay the messages. The Customer Purchase Latency metrics calculated by Repeat Customer Insights can help you figure out that timing.