# 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](https://docs.elevateab.com/elevate-helpcenter/product-testing/how-to-create-a-product-test).
>
> **Just testing prices?** Use [Price Testing](https://docs.elevateab.com/elevate-helpcenter/price-testing/how-to-create-a-price-experiment) — it supports multi-product tests in the same flow without duplicates.

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### 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.

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### 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:

1. If you haven't created duplicates yet, use **Duplicate Product** to create copies of each product in the variation
2. 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](https://docs.elevateab.com/elevate-helpcenter/experiment-setup/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:

1. **Copy reviews** to all duplicate products
2. **Sync third-party integrations** on each duplicate
3. **Submit for Elevate review** (one-time setup)
4. **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](https://docs.elevateab.com/elevate-helpcenter/how-to-create-a-product-test#step-8-copy-reviews-to-duplicate-products).

### Step 9: Launch

Once everything checks out, click **Launch Experiment**.

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### 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](https://docs.elevateab.com/elevate-helpcenter/analyze/reports/reports-overview).