Guide
How to Identify Inactive Customers
A step-by-step guide to finding inactive customers in your order history: the data you need, measuring days since last purchase, segmenting, and avoiding common mistakes.
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Practical Guides to Customer Retention and Revenue Recovery
Clear, hands-on explanations for business owners and teams who want to understand their customers from purchase data: who is drifting away, what it may cost, and what to do next.
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Guide
How to Calculate Revenue at Risk
Learn what revenue at risk means, how it differs from lost revenue, and how to estimate it from historical transactions with a worked example.
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How to Identify At-Risk Customers
How to spot customers who are drifting away using recency, frequency and historical value, and how to decide who deserves attention first.
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How to Analyze Customer Churn
A practical guide to defining and measuring churn in non-subscription businesses using transaction data, cohorts and repeat-purchase metrics.
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How to Reactivate Inactive Customers
Choose which lapsed customers to contact, write relevant outreach, follow up sensibly and measure whether your reactivation work is paying off.
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How to Prepare Customer Data
Get your CSV or Excel export ready for customer analysis: required columns, identifiers, dates, revenue values and the formatting mistakes to fix first.
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Customer Retention Metrics Explained
Clear definitions and examples of retention rate, repeat purchase rate, purchase frequency, inactivity, customer value and at-risk revenue.
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