Customer behavior and adoption · Difference-in-differences analysis of a retailer's app launch, modeling purchase frequency, quantity, monetary value and returns; app-use time, location and features provide descriptive mechanism evidence.
Mobile App Introduction and Online and Offline Purchases and Product Returns
Unnati Narang, Venkatesh Shankar (2019). Mobile App Introduction and Online and Offline Purchases and Product Returns. Marketing Science. https://doi.org/10.1287/mksc.2019.1169
Plain-English take
After launch, adopters bought 33% more frequently, 34% more items and spent 37% more, but returned 35% more frequently, 35% more items and 41% more in value; net monetary value was 36% higher.
How much weight to give this
2/5 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.
Difference-in-differences analysis of a retailer's app launch, modeling purchase frequency, quantity, monetary value and returns; app-use time, location and features provide descriptive mechanism evidence.
Large retailer customer/purchase data spanning online and offline channels; adopters compared with nonadopters around the app introduction.
Review the paper for comparison conditions and analysis.
Publisher record checked; detailed methods were not verified.
Double-blind? Blinding was not established from the publisher page.
Research question
What the authors investigated
What does mobile app introduction and online and offline purchases and product returns show about customer behavior or marketing outcomes?
Design
Difference-in-differences analysis of a retailer's app launch, modeling purchase frequency, quantity, monetary value and returns; app-use time, location and features provide descriptive mechanism evidence.
Sample and setting
Large retailer customer/purchase data spanning online and offline channels; adopters compared with nonadopters around the app introduction.
Reported result
What the study found
After launch, adopters bought 33% more frequently, 34% more items and spent 37% more, but returned 35% more frequently, 35% more items and 41% more in value; net monetary value was 36% higher.
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
The authors' abstract does not state a formal limitations section; conservative inference: observational adoption and one retailer limit causal generalization beyond the launch setting despite the difference-in-differences design. Full-text methods and correction history were not independently checked.
Possible founder application
Use this study as a bounded example related to mobile app introduction and online and offline purchases and product returns; evaluate whether its customers, intervention and outcome match your own context.
Evidence access
Publisher page; full-text availability varies and was not established.
Study metadata and reported results were cross-checked against a direct publisher-page retrieval; detailed full-text methods were not reviewed.
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.