WISEPIM mines your order history to find which products customers buy together, scores every pair by confidence and lift, and ranks the bundles most likely to raise your average order value.
Most merchants pick cross-sells by instinct, similar category, matching price point, or whatever the supplier recommended last quarter. The problem is that shoppers don't buy the way you expect. Market basket analysis reads your actual order data to find the pairs customers choose together, not the ones you assume they would.
WISEPIM calculates co-occurrence count, confidence and lift for every product pair in your catalogue. Confidence tells you how often buying A leads to buying B. Lift tells you whether that relationship is genuinely meaningful or just a coincidence driven by volume. Together they filter noise and surface only the bundles worth acting on.
Because bundle opportunity rank sits next to your AI content scores, you can see immediately whether the products in your top pairs are well described enough to convert when you promote them together, and fix the copy in the same workflow.
From connected order data to a launched bundle in four steps.
Link Shopify, WooCommerce, Magento, Lightspeed and more. Order-line data flows in automatically so WISEPIM has the basket history it needs.
Browse every co-occurrence pair sorted by lift, confidence or revenue potential. Filter by category, brand or minimum order count to focus on statistically reliable signals.
Zoom out to see which category combinations over-index together, useful for landing-page bundles and campaign targeting before you go SKU by SKU.
Select your top pairs, check their content quality scores and enrich weak listings in one click, then push the bundle to your storefront or feed directly from WISEPIM.
Stop guessing which products belong in a bundle.
Which product pairs are bought together most often across my orders?
What is the confidence and lift score for my top cross-sell candidates?
Which bundle opportunities have the highest estimated revenue potential?
Which categories show the strongest affinity for cross-category bundles?
Are the products in my top pairs well described enough to convert when bundled?
Where could a frequently-bought-together widget on my product page lift AOV today?
Market basket analysis pays off the first time a data-backed bundle outperforms your instinct pick.
Pick cross-sells on lift and confidence, not category instinct or supplier suggestions.
Surface the pairs that genuinely drive customers to add a second item to their cart.
Go from insight to live bundle without leaving WISEPIM, enrichment and export in one workflow.
Step-by-step guides, best practices and worked examples for every WISEPIM report.
Keep exploring the WISEPIM intelligence suite, every report turns raw data into a decision you can act on today.
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