Self-reported attribution vs. tracking-based attribution

Self-reported attribution vs. tracking-based attribution

A quietly growing tactic in B2B is the 'How did you hear about us?' field — self-reported attribution (SRA) — as a complement to, or check on, deterministic tracking. The two methods capture different truths and fail in different ways.

Tracking-based attribution is precise about the measurable path.
— Clicks, UTMs, deal-reg records.
— Strong on digital touches it can see; blind to dark-social, word-of-mouth, podcast mentions, and offline conversations that dominate B2B discovery.
— Per repeated practitioner findings, a large share of B2B influence is untracked because it happens in Slack DMs, communities, and live events.

Self-reported attribution captures perceived influence.
— The buyer names what they remember mattering.
— Surfaces the dark-funnel partners tracking misses entirely — the podcast, the peer recommendation, the community.
— Weakness: recency and recall bias; buyers under-credit early touches and over-credit the obvious last one.

The sharpest use is triangulation: when SRA consistently credits a partner that tracking shows as low-volume, you've likely found an under-measured influence channel — not a discrepancy to reconcile away.

Trade-off: Tracking is auditable and machine-readable but structurally blind to the dark funnel. SRA sees the dark funnel but is noisy, biased, and unsuitable for per-dollar payout.

Implications: Pay on tracking, but read SRA as a corrective lens on which partners your instrumentation can't see. Disagreement between the two is signal, not error.

Open question: Which partners would disappear from your dashboard if buyers stopped clearing cookies — and would you still value them?