First-order revenue is not payback

Acquisition spend is recovered by contribution after refunds, fees, fulfilment, and discounts, not by gross transaction value.

For a cohort, payback is the first age when cumulative contribution covers assigned acquisition cost.

Govern customer identity and spend attribution

Duplicate accounts across channels and mixed paid and organic touchpoints change who counts as new.

Declare identity windows, attribution rules, and unassigned spend; keep broad brand cost separate or show alternative allocations.

Compare cohorts at equal maturity

A new cohort with 30 days of history cannot be compared directly with one that had six months to repeat.

Align by age and show 30-, 60-, and 90-day contribution together with the immature share.

Payback is not a lifetime-value guarantee

Historical repeat behavior supports scenarios, not certainty. Product, channel, price, and promotion changes can invalidate extrapolation.

Leave long-tail cohorts as ranges or not-yet-recovered rather than forcing a precise future date.

Accept with spend-to-order reconciliation

Sample advertising invoices, customer identity, orders, refunds, and fulfilment, checking cohort age and cost conservation.

BI0 can be assessed for marketing economics; identity resolution, attribution, spend ingestion, and lifetime modeling depend on available data.

Define cohort payback from cumulative contribution

For a first-purchase cohort, accumulate net revenue less product, fulfilment, platform, payment, discount, and variable service cost. Payback is the first cohort age where contribution covers assigned acquisition spend.

Define qualified new customers after identity, refund, and test-account rules. If the curve has not crossed cost, report not recovered rather than forcing a future date.

Govern identity and attribution

People can appear through several accounts. Preserve match source and confidence, and define whether an offline customer first buying online is enterprise-new or channel-new.

Attribution allocates cost; it does not prove causality. State the window and model, keep unassigned and brand spend visible, and use experiments where incrementality matters.

Compare cohorts at equal maturity

Align cohorts by days since first purchase and report customers still observable, open refund tails, and maturity. A current cohort cannot be compared directly with one that had six months to repeat.

Longer horizons increase uncertainty. Use ranges from mature cohorts and control small samples instead of spreading a few high-value customers across everyone.

Use payback as a budget boundary, not the only goal

Fast payback can come from deep discount and weak retention, while slower cohorts may create durable contribution. Review scale, curve, refund, repeat, cash, and uncertainty together.

Do not assume CAC remains constant as spend scales. Set evidence thresholds and use incrementality tests for consequential budget moves.

Reconcile evidence and verify BI0 scope

Trace invoices through campaign, identity, orders, refunds, and fulfilment. Recompute at historical cutoffs and ensure cohort contribution reconciles to order detail and the operating profit bridge.

BI0 may be evaluated for marketing economics. Identity resolution, attribution, spend ingestion, contribution cost, and lifetime modeling depend on available data. It cannot turn untraceable spend into certain payback.

Public references

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