<b>Enterprise referral programs and the adverse-selection problem</b>

<b>Enterprise referral programs and the adverse-selection problem</b>

Referral programs assume your happiest customers refer the best prospects. The economics are more complicated, and adverse selection runs in both directions.

<b>On the referrer side:</b> the customers most willing to refer for a cash incentive are not always your highest-value advocates. Incentive-motivated referrers may refer broadly and indiscriminately; genuinely high-status advocates often refer rarely but with high precision, and sometimes resist cash precisely because it cheapens their endorsement. A 2010s body of word-of-mouth research found that reward structure shifts who refers and what they say — money can crowd out intrinsic advocacy.

<b>On the referred side:</b> a referred prospect inherits the referrer's context. Referrals from a price-sensitive customer skew price-sensitive; referrals from a power user skew toward fit. The referral channel does not produce random high-quality leads — it reproduces the characteristics of your existing base, including its weaknesses.

<b>Two corrections that hold up:</b>

— Reward the outcome (referred account reaches a value milestone), not the act (form submission), to filter indiscriminate referring.
— Segment referral performance by referrer cohort, because lead quality is conditional on who referred, not on the program existing.

<b>Implications:</b> referral lead quality is endogenous to your customer base. A referral program is a mirror, and it amplifies whatever your ICP already is.

<b>Open question:</b> can non-cash recognition out-perform cash for high-status referrers without collapsing overall participation?