Tag: kb repeat customer insights

Customer Grid to visualize how customer segments are behaving

The Customer Grids are a 2-D view of your customers scored with RFM. Their intersection tells you a bit of a story about how their buying behavior compares to the rest of your customer base. They might be ordering very frequently, but spending very little. Three different grids based on RFM There are three different …

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Customer Segmenting to know which customers are the best customers

The Customer Segmenting in Repeat Customer Insights ties together various segmenting models into one place: RFM: Recency Frequency Monetary Customer Grading: A-F letter grades Automatic Segments Customer analysis Each customer is listed with their various analyses: Customer Grade When they last ordered How many orders they have (excluding cancelled orders) How much they’ve spent so …

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Product Analysis uncovers which products and variants create repeat customers

The Product Analysis looks at what products a customer orders to see how those products contribute to becoming a repeat customer. Just as different marketing channels will determine different customer behavior, some products tend to create different customer behavior. Some are more likely to create repeat customers and some are likely to create your best …

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Focus on getting one-time customers to buy a second time

The 1-to-2 Focus Page in Repeat Customer Insights is focused on finding new customers who are prime candidates for making their second order and becoming repeat customers. It combines multiple analyses from the app into one page to let you see who these customers are. New-to-Repeat or 1-to-2 customers are a huge deal for ecommerce …

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Focus on which customers are loyal

The Who Are Loyal Focus Page in Repeat Customer Insights is focused on showing you which customers are showing signs of loyalty. It combines multiple analyses from the app into one page to let you see who your loyal customers are. Focusing on loyal customer is more efficient Knowing who your loyal customers are is …

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Guidance – common analytical objectives for Shopify stores

The Guidance section of Repeat Customer Insights lists common objectives Shopify stores might have for an analytical app and provides advice on them. It acts as an index or table of contents for the app. Using it you can quickly find a problem you’ve noticed in your store and what reports might have an answer …

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Linked Accounts to connect multiple Shopify stores

Linked Accounts lets you connect two or more Repeat Customer Insights accounts together. You can think of them as a quick account switcher, where you don’t have to logout and re-login to each account. Paired accounts Each account link connects a pair of accounts. When logged into one of those accounts, you’ll be able to …

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Monday Morning Metrics: reviewing your last week’s customer behavior

Monday Morning Metrics is a week-by-review report that shows what’s happened in your store last week. It’s emailed out every Monday morning (around 7 am Pacific Time) and you can have it sent to multiple people automatically. It lists how many orders were from new customers compared to how many were from repeat customers, including …

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Store Analysis to measure how your Shopify store is performing

The Store Analysis looks at your store as a whole to calculate various metrics. It’s useful if you want to see the overall direction you’re heading towards or if you need overall metrics for decision-making. Drill-down options Many of the metrics also able to be drilled down into and graphed. They also show up in …

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