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J·BJon BishopIndependent growth marketer

Buyer behavior · Field-data empirical study of explicit recommendation sets, with behavioral indicators and simulation.

Product set granularity and consumer response to recommendations

Journal of the Academy of Marketing Science · 2020

Dimitrios Tsekouras, Benedict G. C. Dellaert, Bas Donkers, Gerald Häubl

Summary

Finer-grained recommendation sets reduced response despite better products; effect was stronger for more engaged consumers.

For your marketing

Possible founder application

Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.

Reported result

What the study found

Finer-grained recommendation sets reduced response despite better products; effect was stronger for more engaged consumers.

Research question

What the authors investigated

How does similarity/granularity within recommended product sets affect response?

Design

Field-data empirical study of explicit recommendation sets, with behavioral indicators and simulation.

Sample and setting

Online recommendation/product-search setting; real-world field data and consumer engagement heterogeneity.

Scope and transfer

Limitations to keep in view

Field setting and recommendation type are specific; simulation is illustrative rather than a new causal experiment.

Research sources

Publisher full text says the study uses real-world field data and reports lower response for fine-grained sets and moderation by engagement. Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses the publisher abstract/metadata and does not claim independent review of unavailable full text.

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