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J·BJon BishopIndependent growth marketer

Reviews · Empirical analysis joining Airbnb reviews with official crime data in five cities; counterfactual simulations of review visibility.

Safety Reviews on Airbnb: An Information Tale

Marketing Science · 2025

Aron Culotta, Ginger Zhe Jin, Yidan Sun, Liad Wagman

Summary

Safety reviews and personal safety experiences reduced bookings; removing vicinity-safety reviews could increase Airbnb reservation revenue under unchanged beliefs, but highlighting/removing effects reverse under rational updating; review–crime correlation is stronger in low-income/minority neighborhoods.

For your marketing

Possible founder application

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

Reported result

What the study found

Safety reviews and personal safety experiences reduced bookings; removing vicinity-safety reviews could increase Airbnb reservation revenue under unchanged beliefs, but highlighting/removing effects reverse under rational updating; review–crime correlation is stronger in low-income/minority neighborhoods.

Research question

What the authors investigated

How does visibility of vicinity-safety reviews affect bookings, revenue and neighborhood sorting?

Design

Empirical analysis joining Airbnb reviews with official crime data in five cities; counterfactual simulations of review visibility.

Sample and setting

Airbnb listings/reviews and official crime data in five major U.S. cities.

Scope and transfer

Limitations to keep in view

Evidence is limited to five major U.S. cities and model-based counterfactuals; the publisher reports conditional outcomes depending on belief updating and learning.

Research sources

Publisher abstract states the five-city Airbnb/crime-data merge and conditional counterfactual results. Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses publisher metadata/abstract and does not claim independent review of unavailable full text.

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