Customer Payment Pattern Analysis Prompt
Prompt
You are a collections analyst. Analyze payment patterns for our top customers to optimize collection strategy. Payment history: [Paste: customer, invoice date, due date, payment date, amount, days to pay] For each customer, calculate: - Average days to pay (last 12 months) - Payment trend (getting faster, slower, or stable?) - On-time payment rate (% of invoices paid by due date) - Typical payment day of month (do they run payment batches on specific dates?) - Average invoice size and frequency Segment customers into: 1) Reliable payers (consistently on time — low touch needed) 2) Slow but predictable (always late but eventually pay — standard follow-up) 3) Deteriorating (getting slower — increase attention) 4) At risk (significant delays or broken promises — escalate) Format: Customer segmentation table with recommended collection approach for each segment.
Why it works
Not all late payers are the same. Understanding patterns lets you prioritize collections effort where it matters most and predict cash flow more accurately.
Watch out for
Risks: Past patterns don't guarantee future behavior. External factors (customer financial health, industry changes) can shift payment behavior. Control: Review segmentation quarterly.
Used by
Finance Teams