Gener8 Labs
Purchase Intelligence

Marketing Smarter with Basket Overlap Insights

Published May 30, 2025

Uses eReceipt panel basket overlap for targeting, bundling, and brand partnership strategies.

Shopping basket illustration with crisps and soft drink products connected by overlap percentage lines

Every basket tells a story about what goes with what. Gener8's Purchase Intelligence dataset reads eReceipts from real online purchases to surface which brands and products are typically bought together, and that basket overlap turns out to be one of the richest signals for targeting, messaging, cross-promotion, and partnership strategy that most brands never look at.

Identify cross-category basket overlaps

Across every transaction that included a crisp purchase, 36% also included a soft drink, a strong enough pairing to build a strategy around. Within that overlap, Coca-Cola was the clear winner, showing up in 54% of the transactions that combined the two categories.

Bar chart of soft drink brand distribution within crisp-and-soft-drink baskets, led by Coca-Cola at 54%
36%of crisp purchases also included a soft drink in the same basket, with Coca-Cola capturing 54% of that overlap.

Reveal brand-specific affinities from customer baskets

The overlap isn't uniform across the category. Mainstream names like Doritos and Walkers pair with soft drinks in 32–39% of baskets, while premium brands such as Tyrrells and Kettle Chips sit lower, at 24–26%.

Bar chart comparing soft drink basket overlap rates for mainstream crisp brands versus premium crisp brands

The specific pairings differ too: Kettle Chips shoppers lean toward Pepsi, while Doritos baskets skew toward Fanta, hinting at distinct occasion and audience differences hiding inside a single product category.

Chart of brand-to-brand basket affinity pairings, including Kettle Chips with Pepsi and Doritos with Fanta

How can basket overlap analysis strengthen your marketing strategy?

Audience segmentation and targeting: build lookalike and affinity audiences from real co-purchase behaviour rather than assumed category adjacency. Partnership strategy: identify the specific brand pairings worth co-marketing or co-promoting. Cross-selling and bundling: design bundles around baskets people are already building organically. Product innovation and assortment: let overlap data inform new flavours, formats, or shelf placement. Campaign impact measurement: track whether a campaign shifted basket composition, not just single-item sales.

Framework diagram showing the five basket overlap use cases feeding into a brand's marketing strategy

None of this requires guesswork about what "probably" sells together. It's drawn directly from a consented eReceipt panel, at the level of individual transactions, which means the pairings reflect what shoppers are actually doing rather than what a category plan assumes they're doing.

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