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    Cohort analysis

    Viết bởi PEKO Team.Cập nhật lần cuối: 02/07/2026.

    Cohort analysis groups customers by a shared starting event (usually their first visit month) and tracks how each group's behaviour evolves over time.

    Xuất bản: 01/05/2026

    In F&B, the most useful cohort is the first-visit month. You plot what % of each month's first-time guests are still visiting at month 1, 2, 3, etc. The shape of the curve tells you exactly when most churn happens — usually a steep drop between month 0 and month 1.

    Comparing cohorts before and after a change (new menu, loyalty launch, staff training) is the cleanest way to measure retention impact, because each cohort acts as its own control group.

    Ví dụ thực tế

    January cohort: 100% in month 0, 35% in month 1, 22% in month 3, 15% in month 6. After launching automated win-back, the April cohort tracks at 50% / 38% / 28% — a clear lift attributable to the new flow.

    Câu hỏi thường gặp

    What tools do I need for restaurant cohort analysis?

    Any CRM with POS sync can compute it — PEKO ships cohort retention curves out of the box. Spreadsheets work too if you can export customer + visit data.

    How many cohorts should I compare to trust the result?

    Minimum three consecutive monthly cohorts before a change and three after — fewer than that and seasonality or a single bad week can swing the curve. Six-on-six is the gold standard for attribution decisions.

    What does a healthy F&B cohort retention curve look like?

    A steep drop from month 0 to month 1 (typical: 100% → 30–45%), then a flattening tail that holds 15–25% by month 6. A curve that keeps falling steeply past month 2 signals the post-first-visit experience is the leak, not acquisition.

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