Testing Multiple Products (Grouped)
This guide covers how to run a product test across multiple products at once. The flow is the same as a single product test — the only difference is that when you select more than one product in the product picker, Elevate automatically switches to the grouped variations UI.
Testing a single product? See How to Create a Product Test.
Just testing prices? Use Price Testing — it supports multi-product tests in the same flow without duplicates.
How It Works
A grouped product experiment lets you test changes across several products simultaneously. Instead of creating a separate experiment for each product, you group them into variations — each variation contains a set of products with whatever modifications you want to test.
For example, if you want to test bundling and a 15% price reduction across your top 3 best sellers, you'd create one experiment with two variations:
Control — All 3 products as they currently exist
Variation — Duplicates of all 3 products bundled together at the reduced prices
Traffic is split at the visitor level, so each visitor sees either all original products or all variations — keeping the experience consistent.
Step 1: Create an Experiment
From your Elevate dashboard, go to Experiments and click New Experiment. Select Product Experiment.
Step 2: Name Your Experiment and Write a Hypothesis
Give your experiment a descriptive name, like "Q1 Best Sellers Bundle Test" or "Skincare Premium Offer." Add a hypothesis explaining what you expect — for example:
"Bundling our top 3 skincare products and reducing the combined price by 15% will increase conversion rate and total revenue per visitor."
Step 3: Select Your Products
Open the product picker and select more than one product. You can search, filter, and select as many products as you want.
As soon as you select multiple products, the variations step switches to the grouped products layout — each variation will contain the full set of products you selected. (If you only select one product, you'll get the single-product flow instead.)
Step 4: Set Up Your Variations
Each variation represents a group of products. By default, you'll have a Control and one Variation, both containing the products you picked in Step 3.
For each variation:
If you haven't created duplicates yet, use Duplicate Product to create copies of each product in the variation
Modify each duplicate however you want — change prices, descriptions, images, bundles, or anything else
Tip: The Control variation should contain your original products as they currently exist. Other variations should contain duplicates with the changes you want to test.
You can add more variations if you want to test multiple alternatives (e.g., a bundle offer and a free-gift offer).
Step 5: Allocate Traffic
Set how traffic is split between your variations. The default is an even split (e.g., 50/50 for two variations). Adjust as needed — just make sure percentages add up to 100%.
Step 6: Choose Your Experiment Goal
Select the primary metric that will determine your winner:
Revenue Per Visitor — best for understanding overall revenue impact
Conversion Rate — best for measuring purchase likelihood
Average Order Value — best for testing pricing tiers and bundles
Add-to-Cart Rate — best for measuring initial purchase intent
Checkout Start Rate — best for measuring mid-funnel impact
Step 7: Add Audience Targeting (Optional)
Narrow your audience if needed — by device, location, traffic source, visitor type, or UTM parameters. See Audience Targeting for all available options.
Step 8: Create and Review
Click Create Experiment to move into the review phase. From here, complete the same review steps as a single product test:
Copy reviews to all duplicate products
Sync third-party integrations on each duplicate
Submit for Elevate review (one-time setup)
Run QA on every duplicate product page
For detailed instructions on each of these steps, see How to Create a Product Test — Steps 8–11.
Step 9: Launch
Once everything checks out, click Launch Experiment.
Analyzing Grouped Product Results
Grouped product experiments include the same reporting as single product tests, plus the Products Breakdown tab in Advanced Analytics. This tab shows per-product performance — revenue, conversions, and traffic for each product in the test — so you can see which products are driving the overall result.
For a full overview of available reports, see Reports Overview.
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