Recently a subscriber asked me how other merchants use Repeat Customer Insights:
I would be interested to know how your customers use your app specifically? I know the data is valuable but what you do with the data is always the key.
Here are some specific examples I've heard of stores using the information.
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Store Analysis and metrics: monitor store health, investor updates/pitches, and plugging into formulas for operations and marketing (e.g. how much to budget for per-customer acquisition). Comparing the Monday Morning Metrics week-over-week to make sure the right metrics are growing.
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Customer Segmenting: using RFM, customer grading, and cohorts to send offers to groups of customers. Usually using email marketing or marketing automation (e.g. Klaviyo). The customer tags integration I build last fall makes this much easier now.
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Monday Morning Metrics best customers: contacting those customers by hand to thank them for buying again.
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Average Latency: timing marketing automation campaigns
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Product analysis: find which products should be promoted in more visible spots. Finding products to cut.
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Report exports: do additional analysis like customer segmenting but only customers with at least two orders in the past 12 months.
I'm probably forgetting some use cases but these are ones I hear coming up again and again.
Eric Davis
Start noticing seasonal spikes in customer behavior
Cohort reports let you detect seasonal spikes as well as long-term retention cycles. Repeat Customer Insights can automatically create cohorts for your Shopify store, going back to your very first order.