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Our Apps Have Driven
5X AOV | 2X Conversions | $30M+ Additional Revenue
5X AOV | 2X Conversions | $30M+ Additional Revenue
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5.0 (900+ Reviews)
Shopify Apps
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Rating
4.9
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362
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Easy Bundle Builder’s analytics gives you a clear view of how your bundles are performing. You can track revenue, orders, AOV, sessions, conversions, discounts, and customer behavior. Use these insights to spot drop-offs, improve bundle placement, compare bundle types, adjust offers, and encourage repeat purchases. This helps you understand what is working and where your bundles need improvement.
Creating a bundle is only the first step. Once it is live, you need to know whether shoppers are finding it, engaging with it, and completing their purchases. You also need to understand which bundles, products, discounts, and placements are driving the best results.
Easy Bundle Builder is a Shopify bundle app that helps merchants create product bundles and offer different discount options. Its analytics gives you a clearer view of how those bundles perform, from traffic and revenue to conversion and repeat purchases. You can use these insights to identify what is working and decide what to improve next.
Easy Bundle Builder’s analytics brings your key bundle performance data into one place. You can look at overall bundle performance, compare individual bundles, and understand how shoppers move through the purchase journey. These insights give you a starting point for finding strong performers and areas that need attention.
Bundle revenue shows how much revenue your bundles generated during the selected period. You can also see what percentage of your store’s total revenue came from bundles. This helps you understand how much bundles contribute to your overall sales.
Bundle orders show the number of orders containing at least one bundle during the selected period. You can also see the percentage of your total store orders that include bundles. This helps you understand how much order volume your bundles are driving.
Bundle AOV shows the average order value for orders containing bundles. Comparing it with your overall store AOV helps you see whether bundle orders are increasing basket size. Since bundles are designed to encourage multiple-product purchases, bundle AOV should generally be higher than your overall store AOV.
Bundle sessions show the number of store sessions where shoppers interacted with a bundle. It also shows bundle sessions as a percentage of total store sessions. This helps you understand whether shoppers are reaching your bundle offers and how much traffic they receive.
Bundle conversion rate shows the percentage of bundle sessions that result in an order. You can compare it with your overall store conversion rate to understand how effectively bundle traffic converts. A lower rate can help you identify a bundle that needs a closer look.
Average bundle discount shows the average discount applied to orders containing bundles. You can compare this with revenue, orders, AOV, and conversion rate to understand how different discount levels affect performance. This can help you find a discount that is attractive to shoppers without unnecessarily reducing your margins.
Bundle funnel shows how shoppers move through the main stages of the bundle purchase journey. These stages include sessions, add-to-cart, checkout, and completed orders. Looking at each stage helps you see where shoppers are leaving the journey.
Revenue share by bundle shows how your total bundle revenue is distributed across individual bundles. You can use it to identify which bundles contribute the most revenue and which ones contribute less. This gives you a quick way to see where your strongest bundle opportunities are.
Individual bundle performance lets you look at key metrics for each bundle, including views, orders, revenue, AOV, conversion rate, and performance trends. You can compare bundles side by side to see which offers are performing better. This can also help you identify changes in a specific bundle over time.
Bundle type performance helps you compare how different types of bundles perform. Looking at revenue, orders, AOV, and conversion across bundle types can show you which formats are getting better results. You can then use those insights when deciding which bundle types to promote or test further.
Bundle buyer mix shows the proportion of new and returning customers among your bundle buyers. Comparing this with your overall store data helps you understand who is purchasing your bundles. It can also show whether your bundles are attracting new customers or encouraging existing customers to buy more.
Repeat bundle purchase rate shows the percentage of bundle buyers who have previously purchased a bundle. This helps you understand how often customers return for another bundle purchase. It can be particularly useful for products that customers buy regularly.
Customer LTV compares the lifetime value of bundle customers with your overall store customer LTV. It is mainly a comparison metric rather than something you optimize directly. If bundle customers show a stronger LTV, you can look at factors such as repeat purchases and purchase frequency to understand what may be contributing to the difference.
Bundle diagnostics helps you identify potential performance issues with your bundles. Instead of manually reviewing every metric, you can use the available data to spot areas that may need attention. This gives you a faster starting point when deciding what to investigate.
Bundle recommendations help turn performance insights into possible next steps. They can point you toward areas that may be worth reviewing based on your bundle data. Use these recommendations as a starting point alongside your own performance data when deciding what to test.
The most useful way to look at analytics is to connect a performance issue with a possible cause. A low number on its own does not always tell you what is wrong. Compare related metrics, look at the specific bundle or funnel stage, and then test the most likely improvement.
Low bundle sessions mean fewer shoppers are reaching your bundle. Start by checking where the bundle appears across your store, such as your store navigation, product pages, collection pages, or a dedicated bundle page. You can also promote bundles through upsell widgets that appear while shoppers browse or add products to their cart.
Your external traffic sources matter too. For example, ads may send shoppers directly to a bundle page, making paid traffic an important source of bundle sessions. If sessions are low, compare your store placements, upsell placements, and traffic sources to find where you can give the bundle more visibility.
Look at bundle sessions and bundle conversion rate together. If sessions are low, the issue may be that shoppers are not finding the bundle. If sessions are healthy but orders are low, look more closely at the bundle offer and shopping experience.
Check the products, pricing, discount, and placement of the bundle. You should also make sure the bundle is being shown to shoppers who are likely to find the products relevant. This helps you separate a traffic problem from a conversion problem.
A low bundle conversion rate means shoppers are reaching your bundle but are not completing the purchase. Use the bundle funnel to identify where the biggest drop-off occurs, then investigate what could be causing it. The problem may be related to the products, offer, shipping, or bundle experience.
For example, a product in the bundle may be out of stock, or the products offered at different steps may not complement each other. A discount may not feel compelling enough, or shoppers may expect free shipping. If the bundle includes high-involvement products, clickable product cards can also make it easier for shoppers to view product details before making a choice.
Bundle AOV should be higher than your overall store AOV because bundles encourage shoppers to purchase multiple products together. However, you may still have a target AOV for a particular bundle that you are not reaching. In that case, compare the bundle with your other offers to understand what is different.
Start with the products included in the bundle and how well they complement each other. If the combination does not give shoppers a clear reason to add more products, AOV may remain low. You should also check whether the discount or offer gives customers enough incentive to build a larger bundle.
The stage where shoppers leave can give you a useful clue about what needs attention. If the biggest drop happens between sessions and add-to-cart, review the product mix, pricing, discount, and overall appeal of the bundle. Shoppers may not see enough value in the offer to continue.
If shoppers add the bundle to their cart but do not reach checkout, look for friction such as unexpected costs, shipping concerns, or a confusing bundle experience. If they reach checkout but do not complete the purchase, check factors such as shipping, payment issues, or product availability. Focusing on the specific stage makes it easier to decide what to test.
Bundle placement refers to where shoppers see your bundle across your store. This could be your store navigation, a product detail page, collection page, dedicated bundle page, or an upsell widget. Each placement can reach shoppers at a different point in their buying journey.
Compare sessions, orders, and conversion rates across placements to see which ones perform better. For example, a bundle shown as an upsell on a relevant product page may perform differently from one linked through your main navigation. If one placement consistently gets stronger engagement, consider giving the bundle more visibility there.
If one bundle type is underperforming, compare its revenue, orders, AOV, sessions, and conversion rate with other bundle types. This can help you understand whether the issue is specific to the bundle format or the individual offer. You may find that one type works particularly well for certain products or customers.
Use these comparisons to decide which bundle types deserve more promotion or testing. If one format consistently performs better, consider creating more offers around that format. For weaker formats, review the product mix, discount, placement, and overall customer experience before deciding what to change.
A low repeat bundle purchase rate means fewer bundle buyers are returning for another bundle. Start by checking whether the products are suitable for repeat purchases and whether customers are likely to need them again. The right strategy will depend on how frequently customers naturally use or replace the products.
For products customers regularly replenish, consider enabling subscriptions for the bundle. Adding a subscribe option makes repeat purchases easier and removes the need for customers to manually place every order. This can make sense for consumable or frequently repurchased products.
Compare discount levels with orders, revenue, AOV, and conversion rate to see which tiers perform best. There is no single discount percentage that works for every store, so your own bundle data is a more useful benchmark. Look for the point where the discount encourages more purchases without unnecessarily reducing your margins.
You can also compare different discount tiers across similar bundles. If a deeper discount produces only a small increase in orders, it may not be worth the additional margin loss. These comparisons can help you find a more balanced offer.
Add-ons are optional extras that shoppers can choose within a bundle. If an add-on has a low selection rate, check whether it is relevant to the main products, reasonably priced, and clearly presented. A product that does not add much value to the main bundle is less likely to be selected.
This is different from the performance of the core products in a bundle. Add-on performance tells you which optional extras shoppers choose, while individual bundle performance helps you understand how the overall bundle is performing. Keeping the two separate makes it easier to identify whether the issue is with the main offer or an optional addition.
A change in bundle performance can come from several different metrics. Compare revenue, orders, sessions, AOV, and conversion rate over time to see what is driving the change. Looking at these metrics together gives you more context than looking at revenue alone.
For example, if revenue increases while sessions stay similar, customers may be spending more per order. If sessions remain steady but conversion falls, the issue may be with the bundle offer or buying experience. Use these trends to decide which part of the bundle needs a closer look.
Comparing the current period with the previous period helps you spot changes that may not be obvious from a single snapshot. Look at revenue, orders, sessions, AOV, and conversion rate together to understand what has changed. You can also compare individual bundles to see which ones are driving the overall change.
For example, imagine a bundle generated 500 sessions, a 2% conversion rate, and a $40 AOV last month. If it gets the same 500 sessions but conversion falls to 1%, the issue is unlikely to be traffic, so you can focus on the offer or shopping experience instead. Using the previous period as a baseline gives you a clearer starting point for your next test.
There is no single conversion rate, AOV, or discount level that defines a successful bundle for every Shopify store. Product category, price point, customer intent, traffic source, and purchase frequency can all affect performance. Your own store data is usually a more useful benchmark.
Start by comparing a bundle with your overall store performance, previous periods, and similar bundles. This gives you a more relevant baseline for deciding whether a bundle is performing well or needs attention. Over time, these comparisons can also help you establish your own performance benchmarks.
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Rating
4.9
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362
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Easy Bundles is one of the best Shopify apps for cross-selling. The app enables your online store to build different types of product bundles that can be promoted to online shoppers in lieu of custom savings, discounts and offers. The bundles encourage the shopper to explore other items that can be bought with the product of their interest, enabling the business to sell more during the session - a cross-sell strategy that is proven to work across industries!
This Shopify product bundles app seamlessly integrates with your store UI, giving you the ability to promote the product bundles more naturally to your store visitors.
Features
Bundle Builder: Customizable layouts for unique bundle and box builder
Gifting bundles: Add personal touch with greeting cards, gift boxes, and videos.
Upsell & Cross-sell : Boosts sales via bundle and gift box creation.
Build your own bundles allows customers to discover new products and collections
Customizable UI for bundles: Integrated with your store for consistent branding.
Pricing
Free to install
Paid plans start at $9 per month
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