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J·BJon BishopIndependent growth marketer

Paid media and measurement · Quasi-experimental retargeting field study followed by scenario-based online experiment.

The Importance of Trust for Personalized Online Advertising

Alexander Bleier, Maik Eisenbeiss (2015). The Importance of Trust for Personalized Online Advertising. Journal of Retailing. https://doi.org/10.1016/j.jretai.2015.04.002.

Journal of Retailing · 2015DOI: 10.1016/j.jretai.2015.04.002 ↗

Plain-English take

Greater personalization depth increased click-through only for a more trusted retailer and reduced it for a less trusted retailer; trust also shaped usefulness/reactance in the lab. For your marketing: Use to shape a locally controlled channel or message test; account for audience, timing and attribution limits before reallocating budget.

How much weight to give this

3.5/5 Moderate evidence for a specific setting

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 · 2/2

Quasi-experimental retargeting field study followed by scenario-based online experiment.

Sample · 0.5/1

Consumers exposed to retargeting banners from retailers; real-world field data plus lab participants.

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

Does retailer trust moderate the effectiveness and privacy/reactance consequences of personalized retargeting?

Design

Quasi-experimental retargeting field study followed by scenario-based online experiment.

Sample and setting

Consumers exposed to retargeting banners from retailers; real-world field data plus lab participants.

Reported result

What the study found

Greater personalization depth increased click-through only for a more trusted retailer and reduced it for a less trusted retailer; trust also shaped usefulness/reactance in the lab.

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

Quasi-experimental field data cannot fully establish random causal effects; scenario experiment and retailer-specific trust limit generalization.

Possible founder application

Use to shape a locally controlled channel or message test; account for audience, timing and attribution limits before reallocating budget.

Evidence access

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

Publisher abstract explicitly reports the quasi-experimental field study, lab design, and trust-dependent click-through result. 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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