Tag: customer analysis

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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Not rushing the results can create a better outcome

A couple of weeks ago I cut and harvested a couple hundred chickpea plants. After a few of hours work, I had about half of them out of their pods and harvested but it was slow work. I boxed up the rest of them, set them aside, and came back to them last weekend. In …

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Giving discounts to your best repeat customers

A Repeat Customer Insights customer was asking about using loyalty discounts and how that could impact customer behavior. Loyalty is mainly measured by the Frequency score in RFM with the Recency showing a bit of influence too. It makes sense, the more times a customer orders then more likely they are loyal. And the more …

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When to stop marketing to lukewarm customers

One question I hear often is when should a store stop marketing to lukewarm customers. In Repeat Customer Insights I’d recommend using the advice in the automatic segments. It’s recommendations will include recommendations to not market, for example in some of the defected customer segments. But if you don’t have the app, you can still …

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How your customers automatically decay with RFM

RFM scores are built from three components: Recency, Frequency, and Monetary. Though they are scored the same, they act differently. Recency is an odd one and can look the most chaotic for some. That’s because Recency will start to decay from the moment a purchase is made and get lower and lower until the customer …

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How is a Shopify customer assigned automatic segments?

Recently a subscriber was asking how the Customer Grid in Repeat Customer Insights knows which segments to give to each customer. There are three Customer Grids in the app: Recency-Frequency (RF) Grid Frequency-Monetary (FM) Grid Recency-Monetary (RM) Grid Each grid combines two parts of the RFM scores. One score is for the vertical columns, one …

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How often does customer behavior change?

I was asked recently: How often does customer behavior change? Every day. Every day new people can decide to become your customers. Every day current customers can decide they are happy with your products and check back to see what you’re selling. Every day past customers can decide to try out a competitor. Not every …

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Why you want to save historic data for later

The reason to collect and analyze metrics is to help make a decision. No decision, no point in collecting metrics. Sometimes you’ll want to collect metrics ahead of time though. That way when you’re ready to make a decision, you have enough historical data to support you. That’s why every website installs Google Analytics or …

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Find out which marketing campaigns are your keepers

With the holiday rush and any post-holiday orders over, now’s a good time to dig into your results. Ideally you tracked your traffic and orders which will make things easier (e.g. Google’s UTM codes). Even if you didn’t, you might be able to look at the timing of orders to see which campaigns where active. (And …

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Finding your consistent big spenders in Shopify

In Repeat Customer Insights I was asked: What is the best report to determine most consistent highest spenders? You’ll want to use the Customer Segmenting reports for that. You can also use the Customer Grid as it’s a visual view of the same data and will let you drill down into the details for each …

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