One key analysis in Repeat Customers Insights is the new timing around repeat orders for new customers. The system is analyzing your one-to-two order timing, new customer buying behavior, and figuring out which of your new customers should be ordering again soon. Only a percentage of these customers will order...
Getting your one-time customers to buy a second time takes proper timing. Send marketing messages too soon and you'll disengage customers. Send them too late and you'll miss other customers who ordered elsewhere. This is especially important if your products are consumable or otherwise refillable. If someone orders a 30...
I've warned about how some analysis systems hype what they do. You've probably seen it too with those venture-based AI-everything companies that come out every month now. A little while back Shopify released a Predicted spend tier analysis for a merchant's customers. This rated the customer as a High, Medium,...
The US economy has been stumbling a bit. Might be a recession. Might not be. But it's clear that a lot of people are businesses are struggling, especially the smaller ones. Getting your Shopify store through a downturn is a dual-edged sword. On one hand you want to reduce your...
When you start working on your repeat customers, first figure out your ratio of new-to-repeat customers. As the example above says, above a 30% ratio is healthy. That means out of ten customers, three will be repeat customers. If you're under 30%, much of your beginning work will be on...
When you're trying to build up your repeat customers, improving your 1-to-2 customer behavior can have the biggest impact on your profit. 1-to-2 customer behavior is the process around new customers with one order placing their second order. This is the pivotal point where new customers can become repeat customers....
Once you start measuring your most loyal customers (like the VIPs and Above Average customers), you're able to do a lot with the metrics you collect. One that I find useful is to graph how many loyal customers you have over-time. This lets you easily see trends and loyalty problems....
Last year I started to take photos of specific areas of the garden every month. I've been saving them up and finally yesterday, I put them all together into a photo album website. I can now look at where things stood at a specific time (e.g. how was last August?)...
Knowing how many orders your average customer places is a valuable piece of information when running a loyalty program. Once you calculate it or have Repeat Customer Insights do it for you, many program decisions can become easier to make. Let's say customers place 5.8 orders with your store on...
Ordering frequency is another predictor of customer loyalty. RFM measures this with the middle component, Frequency. That means customers with a score of 4 or 5 there are more likely to be loyal but there's another method I also include in Repeat Customer Insights. First, find out your Average Orders...