Tag: customer segmenting

Move beyond date-based promotions and into segmented promotions

Contacting customers for a promotion is a regular tactic in ecommerce. Typically the events are based on the calendar. Black Friday. First day of summer. Back to school. There are more reasons to contact customers than days in the year. There’s a problem with using only date-based events though. Each customer is at a different …

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Combine your customer analysis for the best results and unique insights

A lot of power comes from combining things. Peanut butter and jelly. Hot peppers and vinegar. Bart and Homer. That combining is what make RFM a powerful customer analysis model. By combining three different measurements it can cover a lot of different behavior while still being simple to understand. (Unlike most AI or “fake-AI” systems …

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Customer segmenting is the bedrock of effective marketing personalization

When you first start to think about personalizing your marketing you quickly run into the idea of segmenting your customer base. Basic personalization like adding the customer’s name to an email is useful but it’s not that effective. You often need something more powerful which is where segmenting comes in. Changing what messages and message …

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Before starting any loyalty program, identify who your best customers are

There are lots of tactics for building customer loyalty. The first step missed by stores is identifying who your best customers. That’s required so you can tailor your plans to getting more of those types of customers. RFM and models based on RFM like Repeat Customer Insights’ customer grades are simple to understand while having …

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Digging into customer details to find your best customers

It’s been a busy month for Repeat Customer Insights development with a bunch of new features and analyses getting released. Eagle-eyed customers will notice the New Feature banners but I want to share them in detail. First up is the new customer details page. Every customer in your store will have one of these. You’ll …

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Using Shopify’s Customer segments to find loyal customers

You can use Shopify’s updated customer list to get a rough idea of your loyal customers. First you’ll need to decide how to measure their loyalty. For that you can mimic the RFM model and look at: How recently they ordered: say the last 90 days How frequently they ordered: say 10 times How much …

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Use your data exports to learn how your store evolves

Another benefit of taking regular exports from your Shopify store is that you can look back at the old data and do some data analysis on it. Data changes often over your store’s lifetime and while you might have historic data, sometimes that historic data gets updated over time so it’s impossible to see how …

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Why RFM has no set points that determine a customer’s ranking

Recently a Repeat Customer Insights was asking about what triggers the RFM scores to change, like from Recency 5 to 4. There are no set points or triggers that move customers from one RFM score to another. Rather, RFM ranks each customer against your customer base as a whole and based on where the individual …

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