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
Refine your automated marketing campaigns with better timing
When building any automated marketing campaign that sends messages over time, you need to know how long the campaign should be and how long to delay the messages. The Customer Purchase Latency metrics calculated by Repeat Customer Insights can help you figure out that timing.