The Polar Pixel: first-party attribution that platforms can't block.
Polar's own server-side pixel captures every on-site session and order, then credits revenue across 10 attribution models with multi-platform deduplication. It survives iOS, cookies and ad blockers, so it misses far fewer conversions than GA4 or ad platforms, and it becomes the single source of truth behind blended ROAS, true CAC and every attributed number in Polar.
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One pixel, and every Polar number gets an honest source.
Install the Polar Pixel in a couple of clicks.
A Polar account with Shopify
The Pixel plugs into your store data so on-site sessions and journeys meet real orders and revenue automatically.
Connect your data →The Polar Pixel add-on and store admin
The Polar Pixel is an add-on feature. You need admin access to your Shopify store to install the Polar App Embed in your theme and to add the checkout or thank-you page script.
Polar Pixel setup →One install, no data team
Shopify and Recharge are UI-supported, Shopify Recharge is automatic. Custom and 3rd-party checkouts use a thank-you page script, and headless storefronts use the npm SDK. All need your myshopify.com domain.
Turn on the Polar Pixel ~1 min
Install on your storefront ~2 min
See it in your reports the payoff
Put a first-party source under every attributed number.
Install once and your blended ROAS, true CAC, Conversion Funnel and CAPI signal all read from one de-duplicated, first-party pixel instead of the platforms marking their own homework.
Events in. Attribution truth out.
Polar Pixel
Polar
The attribution truth report that runs itself.
Scheduled automation
No AI neededUse Polar Automations to run a rule every Monday: pull platform-reported revenue next to Pixel-attributed revenue by channel, flag any channel over-crediting by more than 20%, and send the table to Slack or email.
AI agent
DynamicGive an agent the Polar MCP. Ask it to compare last week's platform claims to Pixel attribution across models, name the biggest over-reporter, and draft the budget call with the reasoning.
More Polar + Polar Pixel use cases
Attribution model comparison
See how ROAS and channel mix shift between first click, last click and full impact, so you pick the model that matches your strategy.
See the use case ›Use case 02Platform over-report audit
Line up Meta, Google and TikTok claimed revenue against Pixel-attributed revenue and quantify the double count.
See the use case ›Use case 03True CAC by channel
New-customer CAC that counts every de-duplicated order the Pixel sees, not each platform's self-reported conversions.
See the use case ›Use case 04Conversion funnel by source
Session to product view to add to cart to checkout to purchase, built on Pixel sessions, broken down by channel.
See the use case ›Use case 05View-through reality check
Separate click-driven revenue from Facebook view-through so blended ROAS is honest, not inflated.
See the use case ›Use case 06CAPI signal boost
Feed enriched, first-party conversions back to Meta, Google and TikTok to lift match rate and spend efficiency.
See the use case ›