Cross-Shop & Basket Affinity Analyzer

Example output

Cross-shop affinity read — Halcyon Oat Milk, 90-day window

Data recap
Base: ~22,000 Halcyon Oat Milk buyers, 90-day loyalty history, one regional grocery chain. Observed cross-shop rates: plant-based creamer 38%, cold brew coffee 29%, granola 24%. Treat these three as your strongest observed signals; anything below this in your data is likely a longer tail worth a second look but not the lead candidate for a single spring campaign.

Ranked cross-shop categories

1. Plant-based creamer (38% overlap)
Read: the highest overlap, and the most adjacent use-case — a shopper already comfortable with plant-based dairy alternatives for one occasion (drinking) is highly likely to use one for another (coffee whitening). This is likely more habit-and-identity driven than occasion-driven, which makes it a strong but less "campaign-able" pairing — these shoppers may already consider themselves a plant-based household broadly, rather than being newly recruited by a pairing message.

2. Cold brew coffee (29% overlap)
Read: a genuine occasion pairing — oat milk and cold brew share a morning-routine moment. This is the strongest candidate for a spring co-marketing campaign specifically because it is occasion-based rather than identity-based: a "cold brew + oat milk morning" message can plausibly recruit trial in both directions, not just describe an existing habit.

3. Granola (24% overlap)
Read: a breakfast-occasion adjacency, weaker than cold brew because the day-part fit is looser (granola spans breakfast and snacking) and the overlap rate is the lowest of the three. Worth a secondary mention in bundle creative but not the lead partner category.

Household-level overlap notes
A 38% overlap on plant-based creamer suggests just over a third of your Halcyon base is buying into a broader plant-based-dairy pattern, not a single-product habit — useful context for messaging beyond this campaign, since it implies category-level loyalty rather than brand-specific loyalty alone. Confirm whether your data can also show whether these are the SAME plant-based creamer brand repeatedly or a mix, since that changes whether a specific creamer brand is a strong single co-marketing partner or whether the opportunity is more "plant-based creamer as a category."

Strategic implications
- Lead candidate: a cold brew coffee brand or category co-marketing partnership for the spring campaign — the occasion fit is real and the overlap is strong enough to act on.
- Bundle idea: a "cold brew + oat milk" in-store or digital pairing, timed to when cold brew sales typically pick up seasonally.
- Media targeting: if your media platform supports interest-based or purchase-based targeting, cold brew and coffee-adjacent audiences are a reasonable lookalike pool for Halcyon media, given the observed overlap.

Assumptions to validate
- These are correlational overlaps from one 90-day window at one retailer; confirm the pattern holds across a second time window or retailer before committing meaningful co-marketing budget.
- The direction of the relationship (oat milk drives cold brew purchase, or vice versa, or both driven by a third factor like a broader wellness routine) is not established by this data alone.

Want me to draft the co-marketing pitch angle for a cold brew partner, or run this same analysis for a second time window to confirm the pattern holds?