Bundle analytics

Market basket analysis that reveals your best bundle opportunities

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.

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Per-pair
Confidence & lift scored
Live
Bundle opportunity rank
Why it matters

Why guessing cross-sells leaves revenue on the table

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.

How it works

How to run market basket analysis in WISEPIM

From connected order data to a launched bundle in four steps.

1

Connect your sales channels

Link Shopify, WooCommerce, Magento, Lightspeed and more. Order-line data flows in automatically so WISEPIM has the basket history it needs.

2

Read the product-pair table

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.

3

Review category affinities

Zoom out to see which category combinations over-index together, useful for landing-page bundles and campaign targeting before you go SKU by SKU.

4

Launch the bundle

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.

What you'll learn

Questions this report answers

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?

The payoff

Turn order patterns into launched revenue

Market basket analysis pays off the first time a data-backed bundle outperforms your instinct pick.

Smarter

Bundle selection

Pick cross-sells on lift and confidence, not category instinct or supplier suggestions.

Higher

Average order value

Surface the pairs that genuinely drive customers to add a second item to their cart.

Faster

Bundle launch

Go from insight to live bundle without leaving WISEPIM, enrichment and export in one workflow.

Frequently asked questions about Cross-sell & bundles

What teams usually want to know before switching this report on.

Confidence is the share of orders containing product A that also contain product B. Lift divides that confidence by the baseline purchase rate of B across all orders, a lift above 1 means the pairing is stronger than chance. WISEPIM recalculates both on every sync so the scores reflect your latest order data.

Results improve with volume, but WISEPIM surfaces pairs with meaningful co-occurrence counts even on smaller catalogues. Pairs below a configurable minimum order count are filtered out automatically so you only see statistically grounded recommendations.

Yes. The category affinity breakdown shows which combinations over-index at the category level, and the product-pair table lets you filter by any attribute, brand, supplier, category or price range, to focus the analysis.

Every bundle recommendation sits alongside the AI content quality score for each product in the pair. If a high-lift pair contains a poorly described listing, WISEPIM flags it so you can enrich the copy before you promote the bundle.

Yes. Export the product-pair table or category affinity data to CSV for use in your email platform, advertising tools or merchandising spreadsheets, or push enriched listings directly to your connected sales channels.

Read the analytics docs

Step-by-step guides, best practices and worked examples for every WISEPIM report.

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Related analytics insights

Keep exploring the WISEPIM intelligence suite, every report turns raw data into a decision you can act on today.

Product performance

Best and worst sellers ranked by sales and content quality together.

customer-insights

Revenue & sales

Revenue, orders and average order value with period-over-period trends.

See all analytics insights
The intelligence cockpit

Your cockpit comes with a pilot.

A BI tool and an analyst to run it ≈ €2,000+/mo
Built into WISEPIM
  • Reads your orders, GA4, and Search Console together
  • Checked against what works in your industry
  • Tells you what to fix
  • Fixes it in one click

Built in collaboration with the most data-driven retailers and brands on the planet.

It's expensive to run, and we won't pretend otherwise. Every day it works through every order, every visitor, every conversion rate, and every product, then weighs all of it against your industry. That depth costs real money, and it's the whole point. We haven't seen anything else that goes this deep.

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