Tag: analysis

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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The Customer Predicted Spend Tier: clear as mud

I’ve warned about how some analysis systems hype what they do. You’ve probably seen it too with those venture-based AI-everything companies that come out every month now. A little while back Shopify released a Predicted spend tier analysis for a merchant’s customers. This rated the customer as a High, Medium, or Low based on four …

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Let a computer do the boring analysis

My kiddo plays a game where you have to guess the five-letter word of the day called Wordle. You have six guesses to get it right. Yesterday she saw the dictionary on the bookshelf and asked if it would be cheating if she used that to look for every five-letter word. We then had a …

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Strong models are universal

A few months back I adapted Repeat Customer Insights so it can analyze itself. Meaning for my custom “store”, instead of using Shopify for the data it uses it’s own data for analysis. It’s not a perfect match as ecommerce has different customer behavior than SaaS but the majority of the analyses and insights worked …

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Getting analytics systems to match up

Now and then I’ll get a Repeat Customer Insights customer trying to reconcile their Shopify data to the app. Or a Shopify store trying to compare Google Analytics traffic to Shopify’s Acquisition reports. It never goes well for the person comparing. Every analytics systems has its own way of collecting and measuring the metrics. Any …

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Common customer analysis circumstances Shopify stores run into

Awhile back a Shopify store using Repeat Customer Insights asked me for advice about where to start with the analyses. I wrote them back a few ideas to get them started and planned to come back around to the question in more depth for you. I kept putting it off though because there are so …

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What stories are your metrics from last year telling you?

With the start of a New Year, now is the perfect time to finalize how your Shopify store performed last year. You’ll want to review a lot of metrics and measurements. From the regulars like total sales to the advanced like Repeat Purchase Rate. Spend some time exploring them and noting down patterns or oddities …

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Using patterns to find answers in data

I’ve been teaching my daughter multiplication the past two weeks. Instead of memorizing the 12-by-12 chart, I’m teaching her patterns that she can use with any number (2 * a number is just doubling a number, 4 * is just doubling 2 *, etc). Once she learns the patterns she can use them all over …

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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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Taking on a too narrow view of your Shopify data

The other day I was reading some advice from Google about spotting traffic drops and one part caught my eye: Change the date range to include 16 months. This will help you analyze the traffic drop in context and make sure it’s not a drop that happens every year as a result of a holiday …

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