Cross Sell Analysis

In Shopify, most merchandising decisions about bundles and recommended products are made on instinct rather than on what shoppers actually buy together. Cross Sell Analysis replaces that guesswork with the co-purchase patterns sitting in your order history, so you promote pairings that already convert instead of ones that simply feel related.

Lifting the number of items per order is one of the cheapest ways to grow revenue, because the traffic and the checkout are already paid for. Knowing which products reliably travel together lets the team place the right offer at the cart, on the product page and in post-purchase upsells, raising average order value without spending more on acquisition.

Sync your Shopify orders and line items into your warehouse and compute the co-purchase pairs in KPI Tree, then link the result to average order value and cart conversion rate inside a metric tree so you can see how each bundle moves basket size. KPI Tree keeps the analysis refreshed as new orders land, so the ranking reflects current buying behaviour rather than a one-off export.

Assign RACI ownership in KPI Tree to a merchandising or growth lead who owns the bundle and recommendation strategy, with the analytics owner responsible for the data. Set a monthly review cadence to retire pairings that have gone stale and promote new ones, tying each change back to its effect on order value.