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J·BJon BishopIndependent growth marketer

Free trials · Peer-reviewed empirical study or research synthesis

Optimal Software Free Trial Strategy: The Impact of Network Externalities and Consumer Uncertainty

Information Systems Research, 23(2), 488-504 · 2012

Hsing Kenneth Cheng, Yipeng Liu

Summary

The value and optimal form of a free trial depend on network effects and uncertainty; a one-size-fits-all trial policy is not optimal. Founder-use interpretation: Use to frame trial-design experiments; do not infer that longer, unlimited, or time-locked trials universally win for SaaS.

For your marketing

Possible founder application

Use to frame trial-design experiments; do not infer that longer, unlimited, or time-locked trials universally win for SaaS.

Reported result

What the study found

The value and optimal form of a free trial depend on network effects and uncertainty; a one-size-fits-all trial policy is not optimal.

Research question

What the authors investigated

How do network effects and consumer uncertainty affect the optimal free-trial strategy for software?

Design

Formal analytical model of software free-trial strategy incorporating network externalities and consumer uncertainty; compares time-locked, limited-version, and related trial choices.

Sample and setting

Formal analytical model of software free-trial strategy incorporating network externalities and consumer uncertainty; compares time-locked, limited-version, and related trial choices.

Scope and transfer

Limitations to keep in view

Model assumptions rather than a randomized field trial; parameter/results require calibration to a product's network effects, uncertainty, and conversion economics.

Research sources

Publisher article page directly retrieved with Firecrawl (reference 01a122bc-5847-70bb-b862-8e17fb054692). The annotation follows the retrieved title/abstract or landing-page record; full methods and correction notices were not independently reviewed.

Additional research source ↗

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