Tag: cohort analysis

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 …

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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 …

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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 …

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Analyze how your holiday customer behavior was different

Ah, September. This has been one of the longest and one of the shortest years ever. Now would be a good time to start to analyze the customer behavior of last year’s holiday shoppers. Did you have a lot of one-time buyers from the holidays? How many stuck around and bought again? Are they still …

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Cohort Reports now include all historic customer purchasing behavior

When I first built the Cohort Report for Repeat Customer Insights, I was limited by the amount of data I could show. Due to Shopify’s design for embedded apps, large pages would get chopped off and become messy. Since moving the app outside of Shopify’s admin area, I’ve been able to update the design and …

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How broken habits might be hurting your Shopify store’s sales

Though we are all unique individuals, the majority of our activities are driven by habits. If your customers habits are to reorder after they run out of your product and you can see that, it’s reasonable then to predict when they’ll be buying again. Even the best habits get broken though. External and internal events …

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