How to Create a Price Experiment (Native Price Testing)
This guide walks you through setting up a price test using Elevate's native price testing — the streamlined approach for Shopify Plus stores. No duplicate products needed.
Not on Shopify Plus? Use the Duplicate Products approach instead.
How Native Price Testing Works
Unlike the duplicate products approach, native price testing changes prices directly on your existing products using Shopify's Cart Transform function and the Elevate theme extension. Each visitor is assigned a variation, and the correct price is applied in real time. There are no duplicate products to create, no reviews to copy, and no third-party apps to sync.
Step 1: Create an Experiment
From your Elevate dashboard, go to Experiments and click New Experiment. Select Advanced Price Experiment.
Step 2: General Info
Enter your experiment details:
Name — Something descriptive like "Premium Serum Price Test" or "Winter Collection Pricing"
Description — What you're testing and why
Hypothesis — What you expect to happen
For example:
"Increasing the price of our premium serum from $39.99 to $44.99 will maintain a similar conversion rate while increasing revenue per visitor and average order value."
Choose your experiment goal — the metric that determines the winner. Revenue Per Visitor is the default and usually the best choice for price tests.
Step 3: Select Products
Browse your product catalog and select the products you want to include in the test. You can select one product or many — the flow is the same either way.
Since this is native price testing, you're selecting your actual products — not duplicates. Elevate handles showing different prices to different visitors behind the scenes.
Tip: If you're testing a pricing strategy across a category (e.g., a 10% increase on all skincare products), select all the relevant products in this step. You can search and filter to find them quickly.
Step 4: Set Variation Prices
You'll see your Control (current live prices) and at least one Variation. For each variation, set the test prices for every product you selected.
You have full control:
Set prices at the variant level — if a product has multiple sizes or options, you can set different test prices for each
Use different pricing strategies per product if needed
Add more than one variation to test multiple price points at the same time (e.g., $34.99, $39.99, and $44.99)
The Control column always reflects your current live prices — no setup needed there.
Step 5: Traffic Allocation
Set how traffic is split between your variations. The default is an even split. Adjust if needed — percentages must add up to 100%.
Step 6: Add Audience Targeting (Optional)
By default, your experiment runs for all visitors. Add targeting rules if you want to narrow the audience:
Run the test only for mobile visitors
Target visitors from a specific country
Limit to traffic from a particular campaign using UTM parameters
Target only new visitors or returning visitors
For the full list of targeting options, see Audience Targeting.
Step 7: Review and Launch
Review your experiment configuration — double-check that every product has the correct test prices in each variation. Then click Launch Experiment.
That's it — no reviews to copy, no third-party apps to sync, no Elevate review step. The theme extension handles everything on the storefront.
Requirements
Shopify Plus plan — Native price testing is only available on Shopify Plus
Elevate theme extension — Must be installed and enabled on your store. This is what applies price changes to visitors on the storefront.
Quality Assurance
After launching, verify the experiment is working correctly:
Visit the product pages on your store (check a few if you selected multiple products)
Check that the correct prices are displaying
Confirm that prices are consistent across collections, search results, and recommendations
Place a test order to verify the checkout reflects the correct price
Analyzing Results
Your experiment reports work the same regardless of how many products you selected. If you included multiple products, you'll also have access to the Products Breakdown tab in Advanced Analytics, which shows per-product performance — so you can see which products are driving the overall result.
Monitor your experiment — Check the Results tab to track performance
Wait for statistical significance — Let the experiment run until it reaches a definitive status. See Statistical Significance for details.
Review advanced analytics — Use the Advanced Analytics tabs to dig into segments and trends
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