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Conversion Tracking and Attribution

JIBE builds ecommerce conversion tracking that holds up against consent banners, ad blockers and headless front ends, so ad platforms and analytics get accurate purchase data.

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Conversion tracking and attribution for ecommerce

Part of
Conversion Rate Optimization
What you get
Consent-aware, server-side conversion tracking feeding your analytics and ad platforms, with an attribution view your marketing team agrees on.
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Guardrails, action logs and testing, so every agent acting for your brand can be checked and overruled.
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Moving commerce, marketing and finance data between systems on a schedule you can trust.
Conversion Tracking and Attribution
Tracking that survives consent banners, ad blockers and a headless front end.
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Conversion tracking used to mean pasting a pixel into the theme. That approach now loses a growing share of data. Browsers limit cookies, shoppers block scripts, consent banners stop tags from firing and headless storefronts break the assumptions that platform pixels were built on. Ad platforms then optimize on partial data and your reports undercount what marketing delivered.

We rebuild tracking so purchase and funnel events are captured reliably, sent with the right consent signals and shared with the tools that need them. The work starts with an audit of what you track today, because most brands have duplicate tags, stale pixels and events that fire twice on some pages and never on others.

What the work includes

  • Server-side tagging. A server container that receives events from your site and platform, then forwards them to analytics and ad platforms under your control.
  • Platform conversion APIs. Purchase and lead events sent to Meta, Google, TikTok and others through their server-side APIs, with deduplication against browser events.
  • Consent integration. Your consent banner wired into every tag so each visitor's choice is respected and recorded.
  • Headless support. Event tracking built into custom front ends, where the platform's default pixels do not run.
  • Data quality checks. Monitoring that compares tracked orders with platform orders and flags drift.

Attribution you can use

No attribution model is the truth. Each ad platform claims credit generously, and last click undervalues anything that starts a journey. We help your team pick a working view, usually combining analytics data, platform reporting and new customer counts, and document how to read it. The goal is better budget decisions, not a perfect number.

For larger channels, we can also help design simple holdout or geo tests. They are the most direct way to see whether a channel drives sales that would not have happened anyway.

For product analytics and event data you own, we often add PostHog alongside GA4. Good tracking starts with a sound GA4 configuration, and it matters most on a headless storefront. This work is part of our conversion rate optimization service, since tests are only as good as the data that scores them.

How do I fix inaccurate ecommerce conversion tracking?

Who it's for

Brands spending on paid media who no longer trust the conversion numbers.

  • Paid media heavy brands. Businesses where ad platform optimization depends on accurate purchase signals.
  • Headless storefronts. Brands whose custom front end broke the tracking they had before.
  • Privacy-conscious teams. Brands that need tracking to respect consent in Canada and the US.

What it solves

It closes the gap between what happens on the site and what your tools record.

  • Undercounted conversions. Ad platforms and analytics missing a share of real purchases.
  • Double counting. Browser and server events both counted for the same order.
  • Consent risk. Tags that fire before or regardless of a visitor's choice.
  • Attribution arguments. Channels each claiming the same sale with no agreed view.

Common questions about conversion tracking and attribution

What is server-side tracking?

Server-side tracking sends events from a server you control rather than relying only on scripts in the shopper's browser. It is less affected by ad blockers and browser limits, and it lets you decide exactly what data each vendor receives.

Does server-side tracking get around consent?

No, and it should not. Consent still applies. We pass each visitor's consent state through to the server and only forward data the visitor has allowed.

Which attribution model should we use?

There is no single right model. Most brands are best served by a consistent working view that combines analytics data, platform reporting and new customer counts, read alongside occasional incrementality tests.

Will tracking work on a headless storefront?

Yes, but it has to be built in, because platform pixels assume a standard theme. We add tracking as part of headless storefront development or retrofit it to an existing build.

Related content

Article

Is A/B Testing Worth It on a Low-Traffic Ecommerce Site?

How much traffic you need for ecommerce A/B testing, how to test with less, and what to do instead to improve conversion on a low-traffic store.

Read the article
Platform

PostHog

An open-source product analytics platform combining event tracking, session replay, feature flags and experiments, with the option to self-host.

See the platform

Brand partners

Forging paths, in good company.

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