A/B Testing Your Product Bundles: How to Let Data Decide What Sells

Same products. Same audience. Totally different results.

Let’s take Neemli Naturals, a clean beauty brand on Shopify, as an example. They had two similar skincare bundles — both looked great, were well-priced, and had their hero products inside. But one outsold the other by 3x.

The reason? A simple change in bundle title and product image.

That’s the magic of A/B testing — letting real shopper behaviour tell you what works, instead of relying on guesswork.

If you're not A/B testing your bundles, you're probably leaving conversions (and cash) on the table.

In this blog, we’ll break down how you can use A/B testing to:

❇️ What is A/B Testing for Product Bundles?

Let’s break it down — A/B testing sounds technical, but it’s really just a smart way to see what works best by comparing two versions of something.

In the context of product bundles, it means showing two different bundle variations to your shoppers (A vs. B) and seeing which one performs better in terms of clicks, purchases, or engagement.

Example:

Imagine you’re selling a “Glow Essentials Kit” for your skincare brand.

• Version A has a clay mask + toner + sunscreen
• Version B swaps the clay mask for a face washEverything else stays the same — price, design, layout.

Now, instead of guessing which one your shoppers might like more, you run an A/B test and let the data decide. After a week, Version B might show 25% more conversions. Now you know which combo wins!

What Can You Test in a Bundle?

Here are a few elements you can experiment with:

• Product mix (switching one item in or out)
• Bundle titles (“Glow Kit” vs. “Skin Goals Combo”)
• Pricing formats (flat discount vs. percentage off)
• Visuals (flat lay vs. lifestyle shot)
• Call-to-actions (“Shop Now” vs. “Claim Your Bundle”)
• Bundle placement (homepage vs. product page)

❇️ Why A/B Test Your Bundles?

Alright, so you’ve created a product bundle. You love it. Your team loves it. But here's the truth:Your opinion doesn’t matter as much as your shopper’s behaviour.

Your Gut ≠ Your Shopper’s Brain

What you think looks good, makes sense, or feels like a great deal, might not land the same way with your shoppers.

And that’s okay — because A/B testing lets you listen to what your shoppers are actually telling you with their clicks, carts, and conversions.

No more “this should work” strategy.Just clear, data-driven answers.

A Real Scenario: How Brooklinen Uses Testing to Sell Smarter

Brooklinen, a popular DTC home essentials brand on Shopify.

They’re great at bundling products to increase AOV. One of their winning strategies is A/B testing their bundles.Here’s what they tested:

• Bundle A: Standard sheet set with no frills
• Bundle B: Sheet set + pillowcases + a seasonal discount, labeled as a “Luxe Sleep Bundle”.

Even though Bundle B was priced slightly higher, it converted better — thanks to a more appealing name, added value, and urgency.

They realized shoppers weren’t just shopping for individual items — they were shopping for an experience.

❇️ How to Start A/B Testing Your Bundles?

Let’s walk through how you can start testing your bundles in a simple, smart, and Shopify-friendly way.

1. Start with One Thing

Keep it simple — test just one change at a time so you know what’s actually making a difference.You can start by testing:

• Products in the bundle (swap one item)
• Bundle name (“Glow Kit” vs. “Self-Care Set”)
• Price style (flat rate vs. % off)
• Images (lifestyle vs. product-only)
• Extras (free gift vs. no gift)

Pro tip: One change per test. That way, the results are clear and useful.

2. Use the Right Tools

Don’t stress about code — tools like FoxSell Bundles Plus (if you're on Shopify) make it super easy. To know more about it, you may reach out to FoxSell Bundles Plus.

Just create two bundle versions, set them live, and let the tool handle the testing and tracking.Quick setup. Clean data. No tech headaches.

3. Split Your Traffic

To test properly, show each bundle version to different sets of shoppers.You can do this through:

• Shopify tools (like FoxSell Bundles Plus)
• Different email or ad campaigns
• Separate landing pages

Just make sure each version gets a fair shot — and similar traffic.

4. Track the Right Metrics

Know what success looks like before you start.Focus on key numbers like:

• Conversion rate
• Add-to-cart rate
• Revenue per visitor

Pick one main goal and stick to it — that’s how you get clear answers.

5. Give It Time

Don’t call it too early.Let the test run long enough to collect solid data, ideally a few hundred views per version.More data = more confidence in your results.

❇️ Real Results: Why Testing Your Bundles Pays Off

A/B testing helps you move from guesswork to data-driven decisions, showing exactly what product combinations, names, prices, or images your shoppers respond to.

Even small tweaks can lead to better conversions, higher average order value, and deeper insights into shopper behaviour.

Curious how A/B testing works in the real world? Dive into practical examples and insights right here.

❇️ Conclusion

One test could reveal that adding a bonus item or simply renaming a bundle leads to more sales. With the right tools, testing is easy, and the results? Totally worth it.

Why Does This Matter?

Because as a merchant, you only get one shot to catch your shopper’s attention.

Small tweaks can lead to big wins and without testing, you’re just guessing.

So the next time you launch a bundle, don’t just go with your gut. test it out, track what works, and double down on what sells.

Ready to stop guessing and start growing with FoxSell Bundles Plus and let real data drive real revenue.