How Shopify stores use Repeat Customer Insights

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.

• 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.

• 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.

• Monday Morning Metrics best customers: contacting those customers by hand to thank them for buying again.

• Average Latency: timing marketing automation campaigns

• Product analysis: find which products should be promoted in more visible spots. Finding products to cut.

• 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