Experimenting is key to optimizing funnel performance, but tracking results shouldn’t be a guessing game.
The Experiments Dashboard in FERMÀT helps you easily monitor A/B tests, compare funnel performance, and decide which version is truly winning.
It’s your central view for running smarter tests, faster.
What’s in this guide
What Is the Experiments Dashboard?
The Experiments Dashboard is where you can view and manage all active and completed A/B tests in FERMÀT.
When you set up a test between two or more funnel variants, FERMÀT tracks performance metrics like:
Conversion rate (CVR)
Average order value (AOV)
Page views and click-throughs
It’s built to give you clear, side-by-side comparisons so you can make confident decisions, no spreadsheets required.
When to Use It
Use the Experiments Dashboard when you want to:
Run an A/B test between different funnel designs, messages, or layouts
Compare performance across funnel variants (like V1 vs. V2)
Decide which funnel to scale or keep live
Spot trends in conversion, engagement, or AOV over time
This makes it simple to identify high-performing changes and validate new strategies before scaling them.
How to Track Experiments in FERMÀT
Tracking experiments in FERMÀT is simple and streamlined. You’ll go through three main steps:
Set up your A/B test by duplicating a funnel and splitting traffic between versions
Open the Experiments Dashboard to view performance data
Analyzing the results using metrics like conversion rate (CVR), average order value (AOV), and engagement
Below is a breakdown of each step to help you get started.
1. Set Up Your A/B Test
Once you’ve created an experiment, it will appear in the Funnel Experiments section under the Experiment tab in the sidebar.
TLDR:
Go to the Funnels section
Duplicate your funnel to create two or more variants
In the settings, set your desired traffic split (e.g. 50/50, 70/30)
Publish both versions
2. Open the Experiments Dashboard
In the Funnel Experiments view, you’ll find all active and completed tests.
Use the Filter & Sort panel (top right) to narrow down experiments by:
Funnel name, creation date, or traffic volume
Shop or test type
Date range
Sort order (newest, oldest, or by traffic volume)
Show only tests that have reached statistical significance (optional)
You can also customize the view by selecting which metrics to display, such as Sessions, Conversion Rate, Revenue, AOV, and more.
Use the + Add metric dropdown at the top of the experiment grid.
3. Analyzing the Results
When you open a specific experiment, you’ll see detailed analytics for each variant.
Key metrics include:
Conversion Rate (CVR)
Average Order Value (AOV)
Average Revenue per Order
Revenue per Session
In the Shop Funnel Comparison view, you can see how users flow through each stage of the funnel from:
Shop view
Product view
Add to cart
Checkout initiation
Completed purchase
At the bottom, the Experiment Metrics Comparison Table summarizes side-by-side metrics for each variant, such as site visits, product views, add-to-carts, checkouts, purchases, and revenue performance.
This section also shows whether your test has reached statistical significance. Each variant is clearly labeled to indicate whether its performance difference (based on metrics like CVR) is statistically meaningful.
This makes it easy to see when a variant is truly outperforming the control, with enough data to confidently make a decision.
