Buy Baits and Consumer Sophistication: Field Evidence from Instant Rebates

Last registered on March 29, 2024

Pre-Trial

Trial Information

General Information

Title
Buy Baits and Consumer Sophistication: Field Evidence from Instant Rebates
RCT ID
AEARCTR-0005830
Initial registration date
May 10, 2020

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
May 13, 2020, 3:47 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
March 29, 2024, 9:49 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
Bocconi University

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2020-05-11
End date
2020-10-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
Are consumers in the marketplace aware of their cognitive limitations? Which limitations can be profitably exploited by firms? I answer these questions in the context of a ubiquitous form of price discrimination: "instant rebates" that require active redemption at the point of sale. I show theoretically how to recover consumers’ subjective beliefs about their cognitive limitations---that prevent them from redeeming the rebate---from aggregate demand responses to rebates, redemption reminders, and a simple discount that does not require redemption. In a large-scale field experiment with a major online retailer, I find that consumers correctly increase demand when the firm offers a redemption reminder, but they fail to reduce demand when the firm increases the hassle required to redeem. Structural estimates reveal that, while consumers are fully sophisticated about the probability of forgetting to redeem instant rebates, they vastly underestimate the \textit{hassle} of redeeming it by 20 EUR per consumer. Exploiting this misperception more than doubles the profitability of rebates.
External Link(s)

Registration Citation

Citation
Rodemeier, Matthias. 2024. "Buy Baits and Consumer Sophistication: Field Evidence from Instant Rebates." AEA RCT Registry. March 29. https://doi.org/10.1257/rct.5830-2.0
Experimental Details

Interventions

Intervention(s)
See pre-analysis plan.
Intervention Start Date
2020-05-11
Intervention End Date
2020-05-24

Primary Outcomes

Primary Outcomes (end points)
For a detailed description and justification of each outcome variable see pre-analysis plan.
- The probability to purchase at the shop.
- The probability to redeem the rebate conditional on purchasing at the shop.

The main analysis will be restricted to the first purchase of each subject in the experimen-
tal period.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
- Revenue and profit per transaction.
- Quantities purchased by each product category.
- Total quantities purchased (all categories pooled together).

Dynamic effects will also be reported. The outcome variables are:
- Probability to buy again at the shop within the experimental period.
- Probability to redeem the rebate on the second and third purchase.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
See pre-analysis plan.
Experimental Design Details
Randomization Method
By computer.
Randomization Unit
The randomization unit is the HTTP-Cookie of the website visitor.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Approximately 593,280 individually identified website visitors and 16,600 transactions.
Sample size: planned number of observations
Approximately 593,280 individually identified website visitors and 16,600 transactions.
Sample size (or number of clusters) by treatment arms
Approximately 74,160 website visitors and 2,075 transactions for each of the 8 experimental groups.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See pre-analysis plan.
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Münster
IRB Approval Date
2019-07-18
IRB Approval Number
N/A
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials