The double-counting trap: when summed partner credit exceeds 100% of revenue
A quiet but common pathology: a company adds up partner-sourced revenue, partner-influenced revenue, and direct revenue, and the total exceeds actual booked revenue — sometimes by a wide margin. This is not arithmetic error; it is the predictable result of overlapping soft-credit, and it corrodes every downstream decision.
How the over-count accumulates:
— Overlapping influence claims. Two partners and the direct team each log a touch on the same deal; each function reports the full deal value as 'influenced.' Three reports, one deal.
— Soft credit by design. Influence metrics are intentionally non-exclusive (multiple parties can influence one deal), so summing them is a category error — yet dashboards sum them anyway.
— Incentive to over-attribute. Every team is measured on influenced pipeline, so every team claims every deal it plausibly touched.
The diagnostic is simple and rarely run: sum all attributed-revenue lines and divide by actual revenue. A ratio meaningfully above 1.0 means soft credit is being treated as hard credit somewhere in reporting.
The discipline: maintain exactly one hard-credit ledger where credit sums to 100% of revenue (used for commissions and finance), and a separate soft-credit/influence layer explicitly labeled non-additive (used only for directional insight). Never present them in the same total.
Implications: if your partner contribution percentages can't reconcile to total revenue, you are deciding budgets on inflated numbers. Run the divide-by-actual check before the next planning cycle.
Open questions: what is a healthy influenced-to-booked ratio for your motion, and at what point does it signal attribution inflation rather than genuine multi-partner deals?
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The double-counting trap: when summed partner credit exceeds 100% of revenue
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