Intervention (Hidden)
Design Overview
This study uses a hybrid randomized field experiment across three comparable retail stores over a one-month period from May 10, 2026 to June 10, 2026. The design combines a between-store randomized comparison and a within-store time-block randomization.
Store Assignment
Stores are selected based on similarity in traffic volume and patterns, store format and size, average transaction value, product mix, historical sales trends, and historical share of installment/BNPL purchases. Two stores form the primary matched pair. Within this pair, treatment assignment is determined by randomization: one store is assigned to the treatment condition for the full intervention period, while the other remains in the control condition. A third store is used for within-store time-block randomization.
Treatment Condition
In the treatment condition, sales staff follow a standardized verbal script when a customer considers an installment/BNPL payment option. Staff disclose the immediate payment price, the total installment cost, the absolute overpayment, and the overpayment as a percentage of the immediate payment price. The disclosure is informational and neutral; staff do not use persuasive or evaluative language and do not recommend one payment option over another.
Control condition
In the control condition, stores continue their standard pricing communication and sales process. No additional disclosure of the total installment cost or implied overpayment is introduced beyond existing practice.
Within-Store Randomization
The Store 3 uses a time-slot randomization design. Each day is divided into two half-day blocks. Treatment (double-price disclosure) and control (standard communication) alternate across blocks, with the schedule varied across days of the week to ensure equal coverage of all traffic types and hours. A strict 50/50 ratio of treatment to control time is maintained throughout.
Data Collection
Each transaction is tagged with store ID, date, time block, treatment/control status, payment method, transaction value, product category, and, where available, seller ID. These data allow estimation of both the between-store treatment effect and the within-store time-block treatment effect.
Outcomes
The primary outcome is the share of purchases made using installment/BNPL payment rather than immediate payment. Secondary outcomes include average transaction value, total sales volume, product category composition, and returns where available.
Analytical Approach
The primary between-store analysis uses a difference-in-differences framework with pre-intervention sales data prior to May 10, 2026 to account for baseline differences between stores. The within-store analysis compares treatment and control time blocks within Store 3, controlling for date, half-day block, product category, and other available transaction characteristics.