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J·BJon BishopIndependent growth marketer

Free trials · Analytical model of pricing and network effects

Freemium as an Optimal Strategy for Market Dominant Firms

Marketing Science · 2019

Zijun (June) Shi, Kaifu Zhang, Kannan Srinivasan

Summary

Even with network effects, freemium is typically not optimal in the model.

For your marketing

Possible founder application

A counterpoint to blanket advice that free plans always accelerate network growth. Ask whether added free users create greater value for premium users and whether that value can be captured.

Reported result

What the study found

Even with network effects, freemium is typically not optimal in the model. It can become optimal when the higher-end product benefits more from user-base growth than the low-end product; under some conditions the low-end product's quality may be raised rather than reduced.

Research question

What the authors investigated

When should a firm offer a free low-end product when users' adoption creates network effects?

Design

Analytical screening model examining pricing and product quality with symmetric or asymmetric network effects.

Sample and setting

Theory paper; it does not analyze a firm-level empirical sample.

Scope and transfer

Limitations to keep in view

Conclusions are conditional on the model's assumptions about screening, products, and network effects; the paper does not estimate which SaaS firms should use freemium empirically.

Research sources

INFORMS publisher abstract retrieved with Firecrawl; theoretical claims only, no empirical causal effect implied.

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