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 …
Tag: kb repeat customer insights
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 …
How is a Shopify customer assigned automatic segments?
Recently a subscriber was asking how the Customer Grid in Repeat Customer Insights knows which segments to give to each customer. There are three Customer Grids in the app: Recency-Frequency (RF) Grid Frequency-Monetary (FM) Grid Recency-Monetary (RM) Grid Each grid combines two parts of the RFM scores. One score is for the vertical columns, one …
How RFM is used by the Customer Grid to segment customers into behavior groups
A Repeat Customer Insights customer was asking how the app creates the 2-D customer grid and the customer segments. The app uses RFM to score each customer from 1 to 5 across three different criteria: Recency, Frequency, and Monetary. The Customer Grid takes two of each of those criteria and lays them out in a …
Find what percentage of customers reorder in a time frame
A Repeat Customer Insights customer was asking if it was possible to find the percentage of customers who purchase for a second time within four months. The Cohort report lists various metrics for the customers who first buy in a given month (their cohort month). It also tracks their behavior month-by-month over time. Each row …
Detailed customer cohort information for Shopify stores
Repeat Customer Insights now has details for each customer Cohort. Previously it would report on all of your cohorts across one dimension of metrics (number of customers, revenue, or AOV). While this is great for finding time-based trends like seasonality or responses to campaigns, it wasn’t great for see how a specific cohort of customers …
An ACME catalog of customer segmenting options
There are an infinite number of ways to segment customers. Repeat Customer Insights includes a few of the more effective ones. Which methods you use will depend on your goals and to a lesser extent, your brand. Here’s a few off the top of my head that cover: how recently they’ve ordered how many orders …
Finding which customers are active and spending the most with your Shopify store
Last month a Repeat Customer Insights customer was asking about who their top 40 active customers were based on total spend. Both of those segments can be found in the RFM analysis. Active would use the Recency portion and spending would use the Monetary. These customers would be highlighted by a high Recency and high …
Using your customer behavior to improve unpaid traffic channels
Recently a Repeat Customer Insights customer was asking about which reports help with unpaid traffic: We heard of Repeat Customer Insights from our web dev team, who has another client who has worked with you previously. They use these lists primarily for paid advertising, creating lookalike audiences, etc. That’s all great but not quite where …