Tag: kb repeat customer insights misc

About the new Repeat Customer Insights API

A brand-new feature introduced in the new Repeat Customer Insights account is the API (Application Programming Interface). This will allow you to write code to access the data in your account. Specifically the customer and customer analysis data in this first release. Any API requires a programmer or programming experience to really use well. It’s …

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An easy way to start with your store analysis is to look at last week

One report in Repeat Customer Insights is highly recommended for new accounts. That’s the Monday Morning Metrics. This report is emailed out every Monday to account subscribers (plus a web version you can review). It summarizes key metrics for your store over the last week. New order totals Number of customers who ordered Number and …

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New period comparison insights added to Repeat Customer Insights

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 …

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Keep your key Shopify performance indicators easy to find

I was working with a friend on a metrics dashboard for his business. He wanted to have a better idea about a handful of key indicators he was watching. They measured how well his next two weeks would be and then overall how his business has been doing so far. Pretty basic stuff in the …

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Average LTV is now calculated in Repeat Customer Insights

This week I released a new metric for Repeat Customer Insights, your store’s Average LTV. While it can be misused, it is a good metric to watch so you have an idea about how valuable each customer is on average. In the app it’s also segmented by acquisition source. That means you can compare how …

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How the time period works in Repeat Customer Insights

A Repeat Customer Insights customer was asking about how the time period works and why shorter periods had lower repeat purchases. In order for a customer to be considered a repeat customer, they need to have made at least two purchases within the selected period. All-time means they’ll just need to have made two purchases …

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Filtering and combining customer segments for further analysis

A Repeat Customer Insights customer was asking how to filter the exported customer list to find specific segments for their analysis. In Google Sheets: Load the customer export into a new spreadsheet or sheet Use Data > Create a Filter on the columns Then click the filter icon on the top of the column named …

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Key performance indicators for single-purchase products

Repeat Customer Insights focuses on repeat customer metrics but one customer was asking about what to look for with new customers: This may seem like a strange question but do you have any suggestions for an app/methodology/dashboard to capture New Customer Insights? Traffic and conversion metrics are going to be very important to you, at …

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