How to Measure Shopify Bundle Performance: 8 Key Metrics

A bundle that seems to be a success might in fact be unprofitable, while one that is not active could still be effective.

It is important to keep an eye on the correct metrics. Relying only on revenue can be deceptive since it does not show whether the bundle boosts margin, order value, or conversion, or merely shifts existing sales.

Key Takeaways

• Revenue alone does not indicate a bundle’s effectiveness, as it may hide margin losses or cannibalized sales.
• Metrics specific to individual product bundles, such as the attach rate and the add-to-cart rate, show problems that the general store metrics fail to reveal.
• The clearest single example of a bundle carrying out its role is an increase in the average order value.
• The bundle profit margin has to be kept apart from the total store margin since bundle discounts can slowly reduce it.
• It is essential to regularly review the metrics, not just at the time of launch, since changes in the inventory and in customer behaviour lead to a change in the bundle’s performance.

Why Measuring Shopify Bundle Performance Matters

Product bundling without any measurements is simply a hypothesis that continues without end; a product bundling strategy that is not compared with actual figures can go on for months without making a profit or without outperforming the individual products it was based on.

We need to set up a performance baseline for each Shopify product bundle, for each product bundle and for every variant of product bundle that a store runs, since a single storewide conversion rate doesn’t show which specific Shopify product bundles are actually earning a place on the page and which are only taking up space.

8 Key Metrics for Measuring Shopify Bundle Performance

1. Bundle views: Bundle views indicate whether customers are coming across the offer, which is the first point to consider before looking at any other metric.
2. Bundle add-to-cart rate: The bundle add-to-cart rate shows whether the offer is strong enough to lead to an action after it has been seen, independent of whether it eventually results in a conversion.
3. Bundle conversion rate: The bundle conversion rate shows how many of the people who add items to their cart go on to make a purchase.
4. Bundle revenue contribution: The bundle revenue contribution indicates what proportion of the store’s total revenue is due to bundles as opposed to purchases of individual items.
5. Average order value uplift: Average order value uplift is one of the most clear-cut indicators available since it directly shows whether the bundle is carrying out its main function by comparing the order value with and without the bundle.
6. Bundle attach rate: The rate at which bundles are attached measures how frequently a bundle is added when another item is purchased as opposed to being bought by itself.
7. Units per transaction: The number of units per transaction shows if bundles are actually increasing the size of the customer’s basket or merely substituting for something the customer would have purchased anyway.
8. Bundle profit margin: The bundle profit margin brings all of this together from a financial point of view since pricing decisions regarding bundles and the practice of price bundling which improve the other indicators can still result in failure if they slowly reduce the margin.

Bundle pricing strategy should be evaluated against increase average order value results specifically, not just overall revenue, and the same discipline applies when trying to increase AOV or improve shopify AOV more broadly.

Bundle discounts need to be weighed against shopify revenue and shopify profit together, since a bundle can grow revenue while quietly shrinking shopify profit margin.

Tracking shopify performance at the bundle level, alongside units per transaction and net profit margin, is what separates a bundle program that’s genuinely working from one that just looks busy.

Comparing this against shopify average order value for non-bundle purchases gives the clearest read on whether a specific product bundle or set of shopify product bundles is earning its place, and whether product bundling as a whole is paying off.

How BundleSuite Helps Measure Bundle Performance

Pulling these numbers manually from Shopify’s default analytics means stitching together data that isn’t organized by bundle in the first place. A dedicated shopify bundle app solves this by tracking performance at the bundle level natively.

BundleSuite functions as both a bundle builder and a shopify bundle builder with performance tracking built in, so stores running multiple shopify product bundles can see which ones are actually working without exporting data into a spreadsheet every time.