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J·BJon BishopIndependent growth marketer

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

Product set granularity and consumer response to recommendations

Dimitrios Tsekouras, Benedict G. C. Dellaert, Bas Donkers, Gerald Häubl (2020). Product set granularity and consumer response to recommendations. Journal of the Academy of Marketing Science. https://doi.org/10.1007/s11747-019-00682-6.

Journal of the Academy of Marketing Science · 2020DOI: 10.1007/s11747-019-00682-6 ↗

Plain-English take

Finer-grained recommendation sets reduced response despite better products; effect was stronger for more engaged consumers. For your marketing: Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.

How much weight to give this

2.5/5 Evidence needs cautious interpretation

The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.

Design · 1/2

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

Sample · 0.5/1

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

Comparison · 0.5/1

Judged from the publisher-described design and comparison; inspect the paper for complete analysis.

Can we check it? · 0.5/1

Publisher page and abstract were retrieved directly; full text was not assumed open.

Double-blind? Blinding was not established from the retrieved publisher record.

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.

Reported result

What the study found

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

This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.

Scope and transfer

Limitations to keep in view

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

Possible founder application

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

Evidence access

Publisher record and abstract retrieved; consult the linked paper for full methods and tables.

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.

If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.

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