Improving Platform Efficiency: Evidence from a large e-commerce

Last registered on February 12, 2025

Pre-Trial

Trial Information

General Information

Title
Improving Platform Efficiency: Evidence from a large e-commerce
RCT ID
AEARCTR-0015343
Initial registration date
February 05, 2025

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
February 12, 2025, 9:28 AM EST

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

Locations

Region

Primary Investigator

Affiliation
UC Berkeley

Other Primary Investigator(s)

PI Affiliation
Brown University
PI Affiliation
University of Chicago

Additional Trial Information

Status
In development
Start date
2024-10-15
End date
2025-05-15
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Governments and international institutions are actively investing in programs and initiatives to build the foundation for a thriving digital economy in developing countries. Central to these efforts is the belief that embracing digital solutions can drive economic growth. A key technology in this space are e-commerce platforms, which have the potential to boost trade across Africa. However, despite their rapid expansion, there is limited empirical evidence on the role these platforms play in facilitating trade, promoting firm growth, and enhancing customer welfare. The goal of this work is to understand the role e-commerce platforms play and identify ways to improve their effectiveness. To achieve this, the research team partnered with a major e-commerce platform in Africa to study an A/B test they ran examining the impact of enhancing the platform’s effectiveness.
External Link(s)

Registration Citation

Citation
Gregory, Lane, Erin Kelley and Matthew Pecenco. 2025. "Improving Platform Efficiency: Evidence from a large e-commerce ." AEA RCT Registry. February 12. https://doi.org/10.1257/rct.15343-1.0
Experimental Details

Interventions

Intervention(s)
The company launched an A/B test with the product category as the unit of analysis.
Intervention Start Date
2024-10-15
Intervention End Date
2025-02-19

Primary Outcomes

Primary Outcomes (end points)
Products (Inventory), Purchases, and Interactions (Views and Clicks)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The company launched an A/B test with the product category as the unit of analysis.
Experimental Design Details
Not available
Randomization Method
Randomization using a computer in an office
Randomization Unit
Product
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Strata are created by country and the rate of de-duplication
Sample size: planned number of observations
11,500 products
Sample size (or number of clusters) by treatment arms
11,500 products
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
University of Chicago
IRB Approval Date
2022-10-10
IRB Approval Number
IRB22-1409
Analysis Plan

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