Datapods
Use Case

Decide assortment and price on real demand.

What people actually buy, in which combination and at what price: from orders, e-receipts and searches across retailers. You see which categories react to promotions, where demand goes unserved, and what a threshold like a free-shipping minimum does to the basket.

From what was really in the basket. Not from a remembered willingness to pay.

Promotion sensitivity · categories

Which categories react most to price promotions?

Supplements41%
Hair care33%
Cleaning26%
Baby food12%

Basket uplift in promo weeks · real purchases · 12 months · n = 2,480 households

How it works

From behavior to answers. And back.

01

Read demand in real purchases

Which items and categories actually get bought, how often, and in which combination. Across retailers, not only in your own numbers.

02

Find the gap between demand and range

Where people search with you and buy elsewhere: topics with high demand and thin presence on your shelf.

03

Measure price and threshold effects

How baskets react to promotions, multipacks, subscriptions and shipping thresholds. Before and after the change, in the same panel.

A question you could ask tomorrow

Which categories react most to promotions, and which ones bring in new customers?

What you get

Basket structure

Revenue, units and category mix per order, comparable across retailers.

Basket co-occurrence

Which categories are bought together and which stay consistently separate.

Demand gaps

Search terms with strong demand and weak presence in your range, benchmarked against competitors.

Price thresholds and promotions

How promotions, large sizes, subscriptions and shipping thresholds move the basket.

Why our data wins here
7.4B+

Amazon events: orders, searches and carts at item level.

E-receipts

Receipts and order confirmations from the inbox, beyond the marketplaces too.

Search

Pre-purchase searches reveal demand that no sales report can show.

Powered by the Datapods app
25,000+people in the panel, verified through connected accounts
11B+behavioral data points across 12 platforms
100%opt-in: every share is a conscious, paid decision
GDPRnative & EU-hosted. Never used to train open models.

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