Repeat Customer Insights has received updates to its data analysis and insights engine. Now the Store Analysis and Customer Purchase Latency reports will automatically compare the various metrics to how they performed in the past. You can select any year or quarter available in your account and the app will analyze the performance compared to …
Tag: kb repeat customer insights
Using cumulative cohort reports to find groups of the best repeat buyers
A Repeat Customer Insights customers was asking about how the cumulative orders in the Cohorts Report work: Why doesn’t the sum of month 1 to n on the cohort customers % match the nth month for the cumulative cohort %? The percentages are based on how many unique customers have bought out of the whole …
Using alternative customer segmenting models when your Shopify store is still growing
The RFM model works really well for large stores. With 125 unique segments, there’s a lot of fine-tuning potential. For smaller stores (and stores that don’t want to fiddle), it might be too much as it is. Say you get 500 orders per month (6,000 per year). That means you’ll have about 4 customers added …
How Average Latency is underused by Shopify stores
Recently I added the Average Latency metric to Repeat Customer Insights. Latency is the time between events for a customer, specially purchases. For example, if Sally placed two orders 10 days apart then their Latency would be 10 days. The app has always reported on the Average Latency in the order sequences, e.g. 10 days on …
Learning when to switch tactics as the results falloff
This morning I planted a few hundred seeds into the garden. Normally I try to grow the seeds into baby plants and then transplant those. They’re stronger and more likely to survive. But with the weather lots of the baby plants aren’t surviving long enough to get transplanted. A good third of the garden has …
More powerful customer grading algorithm to better understand your customer behavior
After months of planning and development, I’m happy to announce that Repeat Customer Insights had a major update to its customer grading. The new version of the customer grading still uses the simple letter grades (A, B, C, D, F) but now the grading algorithm takes into account more factors. It’s based on RFM which …
What cohort reports teach you about your repeat customer behavior
I frequently get questions from Repeat Customer Insights customers about the Cohort reports. It’s one of the most popular reports and for good reason. A well-structured cohort report can answer questions about your customer behavior that no other report can. Basically it’ll show how groups of people (a cohort) behave over-time. In the app, the …
Giving discounts to your best repeat customers
A Repeat Customer Insights customer was asking about using loyalty discounts and how that could impact customer behavior. Loyalty is mainly measured by the Frequency score in RFM with the Recency showing a bit of influence too. It makes sense, the more times a customer orders then more likely they are loyal. And the more …
What to check first if your Shopify store sales have dried up
I’ve been hearing rumors of many Shopify store and ecommerce stores in general starting to see sales dry up. It could be due to COVID changes, economic stagnation, or any number of other factors that impact buying behavior. Checking your sales and order counts is one way to see if you’re impacted but they might …
How different discount strategies can change customer behavior
A Repeat Customer Insights customer was asking about how to combine the automatic segments with a discounting strategy they’re considering: We want to offer larger discounts for vip and loyal customers, smaller more frequent discounts for low aov or average customers etc Discounting can have a major influence on customer behavior and has the potential …