Finding out which months are best for acquiring new customers can help plan your marketing resources. Say for example, you tally up your orders from new customers this year and see this sort of distribution: January 8.8% February 7.9% March 9.2% April 9.5% May 8.8% June 7.3% July 7.3% August 7.1% September 6.4% October 6.9% …
Tag: cohort analysis
Unstick your stuck AOVs
You can make Average Order Value (AOV) more useful by segmenting it. Instead of having one AOV for your store as a whole, you have an AOV for each major traffic source, for each major customer segment, or even for customer cohorts. That’ll give you more visibility into what’s going on with them and let …
Find early repeat purchases with the updated Customer Orders by Cohort report
An update for the Cohort Report in Repeat Customer Insights has been released. This update changes the Customer Orders by Cohort. Previously the first column, Month 0, would show how many new customers bought in the initial month. This is the same as the cohort size as a whole. That data has now been separated …
Forecasting how many new customers your store will attract in the upcoming months
You can do a lot when you have your customers split out to new and repeat customers like what Repeat Customer Insights does for you. One way is to see how many new customers you should expect in November and December. This can help you plan how much swag you need or how much new …
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 …
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 …
Watching Memorial Day weekend to monitor the recovery
With Memorial Day weekend coming up, stores are going to get a preview of how customer behavior has been changed from the pandemic and shutdowns. Some stores and segments might see their usual spike, while others might not notice anything at all. This can be a preview of the remainder of the year and the …
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 …
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 …
Marketing optimizations and patience
I’ve been tweaking a few things to improve my email marketing and opt-ins. That includes trying different formats of opt-in forms and how they are displayed. The first test had about half the opt-ins of the control (statistically significant) but the second test I’m running is now showing 50% higher than the control. It still …