Attribution measures credit; incrementality measures causation. Partner budgets need the second.

Attribution measures credit; incrementality measures causation. Partner budgets need the second.

The most consequential confusion in partner analytics is treating attributed revenue as caused revenue. Attribution divides credit for deals that happened. Incrementality estimates which deals would not have happened without the partner. For commission and budget decisions, only the second is defensible — and they often diverge sharply.

Why the gap is large in B2B:

— Self-selection. Partners work accounts they judge winnable. The attributed deals include accounts that would have closed anyway, inflating apparent partner contribution.
— Last-touch capture. A partner's referral link captures a buyer who had already decided via other channels — fully attributed, zero incremental.

How to measure incrementality despite long cycles:

— Geo or segment holdouts. Withhold partner activity from a comparable market and compare closed-won, accepting the long lag.
— Staggered rollout / difference-in-differences. Launch a partner motion in waves and read the delta, controlling for secular trends.
— Account-level randomization where ethics and contracts permit — the cleanest, rarely feasible.

The practical obstacle is patience: a clean B2B incrementality test must run at least one full sales cycle, often two, before it yields signal. Programs that won't wait fall back on attribution and overstate causal impact.

Implications: use attribution for operational reporting; require an incrementality read before scaling partner spend or restructuring commissions. The two answer different questions and frequently disagree.

Open questions: when partners self-select accounts, can any observational method recover causation, or is a holdout the only honest option?