With the recent release, Repeat Customer Insights now includes 10 different cohort reports. Sadly, in my rush to get them into customers' hands I haven't written much about them at all. It's time to change that. Cohort reports can be very information dense, especially if you're not familiar with their...
Detecting defecting customers is a valuable step in optimizing a Shopify store's revenue. If you can find and predict when a customer decides to buy from your competitor, you can try to preempt that and bring them back to your store. Even capturing a small percentage of those customers can...
One way to approach customer segments is to define your segments and then give each one a purpose. First create a segment of customers based on some common behavior behavior. Then reflect and think about their behavior by putting yourself in their place. What do they want? What do you...
A Repeat Customer Insights customer was asking about how the RFM model adapts to changes in the products offered as the store moves to more subscriptions: So all of these [RFM scores] are relative to each other based on the ratings into 20% categories. Does this mean that if we...
Recently Richard asked how to find their best 1% customers in Repeat Customer Insights. In the majority of the sources I've researched, Recency is the most valuable measurement followed by Recency/Frequency. Some ignore the Monetary one completely, but it has many uses. The big question to start with is, what's...
Recently a Repeat Customer Insights customer was asking about how to get started segmenting. Long story short, I'm having a little trouble with next steps on what to do with this data and what is the best approach for each segment. The first thing that you need to do is...
The other day I wrote about my buying experience when ordered a new set of running sandals. They arrived yesterday and while looking them over, I released how much the design has changed in the past few years. That prompted me to take a look back at my order history....
Evaluating how a single cohort behaves can draw some useful conclusions, but it's even more valuable to compare different cohorts. You can compare cohorts: For the same time after the first order, by using the vertical column For the same calendar month, by looking for diagonals that go from the...
Using your Customer Purchase Latency is a good way to detect defecting customers but it has its drawbacks. Especially with products that are very durable and have long buying cycles. An example I've used in the past are my running sandals. Unlike regular running shoes, they have lasted for years...
This past weekend I was ordering some new running sandals. The important things with running sandals are: thickness weight grip I've bought some in the past that were too thin and thus a pain in the feet to run with. I've also bought some that were too heavy and the...
Each tip includes a way to improve your store: customer analysis, analytics, customer acquisition, CRO... plus plenty of puns and amazing alliterations.