The Funnel tab in Polar Analytics provides a clear view of how visitors progress from landing on your site to making a purchase. By tracking key stages—such as Product Page Viewed, Added to Cart, Checkout Started, and Checkout Completed—you can spot exactly where users drop off and prioritize improvements. Think of it as a complement to your marketing attribution data, revealing why certain channels, pages, or campaigns convert better than others.
What Each Stage Means
Sessions
A distinct period of visitor activity tracked by the Polar pixel. A session ends after 30 minutes of inactivity.Product Page Viewed
Visitors who load a product page. Significant drop-offs after the session stage may point to mismatched landing pages, low-intent visitors, or site navigation issues.Added to Cart
Shows how many visitors decide to add a product to their cart. Large drop-offs here often indicate price concerns, unclear product details, or lack of trust signals.Checkout Started
Reflects users who begin the checkout process. Usability blockers or surprise costs can prompt abandonment at this point.Checkout Completed
Successful purchases. Drop-offs here sometimes relate to payment issues or last-minute hesitations.
Tip: High drop-offs between stages highlight where you can optimize—such as clarifying shipping costs or improving product information.
Key Features
Filters & Breakdowns
Narrow down data by channel grouping, campaign, or landing page to understand performance by segment.Funnel Bar Chart & Drop-Off Percentages
Each bar is a share of all sessions; the “drop-off” percentage indicates how many users left between stages.Show Absolute Values
Switch between percentages and actual session counts. Keep in mind Polar’s session numbers differ from Shopify/GA due to unique measurement methods and user consent.Date Range Picker
See trends over time since installing the pixel. Compare how funnel metrics shift after site updates or marketing pushes.
Frequently Asked Questions
Why don’t my session counts match Shopify or Google Analytics?
Platforms define and track sessions differently. Some visitors also opt out of our pixel, so treat these numbers as internally consistent for comparing sources and stages, rather than exact matches with other tools.
What’s the session metric powering this?
The funnel tab is powered by the Polar Pixel Page Viewed Sessions metric. It counts sessions where we tracked at least one page view. All bars on the chart are scaled relative to this.
This is different to the Polar Pixel Sessions metric (not used at all on this page), which includes synthetic sessions for orders we know about, but didn't track with the Pixel.
Why might a later funnel stage appear higher than a previous stage?
Visitors can jump ahead (e.g., using saved carts or checking out from a return visit). Each bar is a percentage of all sessions, not a strict step-by-step path in a single session.
How do I ensure the right events are tracked?
Getting the Most Out of Your Funnel Analysis
Compare Sources & Pages
Focus on one traffic channel or landing page to see if certain audiences convert better than others.Use Custom Dimensions
Group campaigns by geographic code (e.g., “-UK” or “-DE”), or group landing pages by type (collections vs. products vs. blog). Learn more about Custom Dimensions.Leverage Views
If you have multiple stores, isolate data to a single store for more targeted insights.Track Over Time
Many users create monthly or weekly reports to spot trends, validate site changes, or confirm campaign effectiveness.
Examples from Users
“This makes my monthly blog conversion reporting easy!”
“I can see affiliate traffic often jumps straight to checkout, which means they’re discount-code hunting.”
“Traffic from collection pages converts better than product pages—let’s route more ads there.”