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J·BJon BishopIndependent growth marketer

Referrals · Analytical model of referral incentives

Optimal Referral Bonuses with Asymmetric Information: Firm-Offered and Interpersonal Incentives

Marketing Science · 2010

Laura J. Kornish, Qiuping Li

Summary

When consumers place greater weight on recipients' outcomes, the optimal bonus tends to be higher unless price is a more efficient way to motivate recommendations.

For your marketing

Possible founder application

Helps frame referral incentives as a joint decision about product price, bonus design, and the recipient's benefit. Use the model to generate hypotheses, then test program economics locally.

Reported result

What the study found

When consumers place greater weight on recipients' outcomes, the optimal bonus tends to be higher unless price is a more efficient way to motivate recommendations. In some cases, the optimal bonus is zero and the product price is lower.

Research question

What the authors investigated

How should firms set referral bonuses when customers differ in information and care about the people they refer?

Design

Analytical model of firm-offered and interpersonal incentives under asymmetric information.

Sample and setting

Theory paper; no empirical sample.

Scope and transfer

Limitations to keep in view

Results depend on the model's assumptions about consumer information, interpersonal concern, and incentive response; they are not estimates of an average referral-program lift.

Research sources

INFORMS publisher abstract retrieved with Firecrawl; summary is explicitly theoretical.

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