Schmitt, Skiera, Van den Bulte 2011 (JoM) — referred customers ≥16% higher LTV than matched non-referred; retention persists, margin decays
Claim: Schmitt, Skiera, and Van den Bulte (2011), "Referral Programs and Customer Value," tracked ~10,000 customers of a German retail bank for ~33 months and found that referred customers had:
- Higher contribution margins, with the advantage eroding over time
- Higher retention rates, with the advantage persisting
- Higher lifetime value — at least 16% higher than matched non-referred customers
- Substantial variation across segments — private-banking referrals 36% higher value; some retail-bank segments minimal or zero difference
Won the 2011 MSI/H. Paul Root Award.
Source: Schmitt, P., Skiera, B., & Van den Bulte, C. (2011). "Referral Programs and Customer Value." Journal of Marketing 75(1), 46–59.
Confidence: Verified (banking context). Cross-domain mapping to trades is Directional but theory-consistent.
For Candid — uncomfortable translation: A strong-tie referral from a fellow contractor doesn't just convert better at the front end; it produces a longer-retained client because the referring relationship continues to police the engagement. The referrer is exposed to reputation cost if the referred relationship goes poorly — that exposure works on both sides.
Mechanism decomposition: [[van-den-bulte-2018-better-matching-social-enrichment]].
Referenced by (3)
- reference Van den Bulte, Bayer, Skiera, Schmitt 2018 (JMR) — referred-customer LTV decomposes into "better matching" (temporary) + "social enrichment" (persistent) depends-on
- reference Expectation transfer + retention by tie strength — strong-tie referrals carry expectation specificity + active social-enrichment retention; weak-tie referrals churn at near-baseline rates depends-on
- rule R1 — Network membership precedes referral-program design; "we have a referral program" is not a strategy until "we are in the network" is true depends-on