<b>Lead volume and lead quality are negatively correlated in most partner programs — by design</b>

<b>Lead volume and lead quality are negatively correlated in most partner programs — by design</b>

A recurring finding across partner-economy surveys: when programs pay per lead or per MQL, lead volume rises and downstream conversion-to-opportunity falls. This is not partner laziness; it is a predictable response to the incentive surface.

<b>The mechanism (Goodhart, applied):</b> any metric you pay on stops measuring what it measured. Pay per MQL and partners optimize for the MQL definition — form fills, gated-content downloads, low-intent registrations — not for revenue.

Observed pattern across mid-market SaaS programs:

— Cost-per-lead programs: high volume, opportunity-conversion frequently in the low single digits.
— Cost-per-opportunity (SQL-gated) programs: 40–70% lower volume, but 2–4x higher opportunity-to-close.
— Revenue-share programs: lowest volume, highest per-lead economics, but slowest partner ramp.

The trade-off is real and unavoidable: moving the payout deeper into the funnel improves quality and worsens volume and partner liquidity (partners wait longer to get paid, so fewer participate). The right point on that curve depends on your gross margin and how much pipeline coverage you actually need.

<b>A measured recommendation:</b> instrument a lead-quality score (fit + intent + engagement) before changing payout terms, then pay on a blended trigger — a base bounty at SQL plus a multiplier at closed-won. This dampens the volume collapse while still pricing quality.

<b>Implications:</b> 'more leads' is rarely the constraint; 'leads finance will recognize as pipeline' usually is.

<b>Open questions:</b> can a quality score be made partner-visible without becoming the next gamed metric?