First-party analytics

One source of truth, straight to BigQuery.

Archon Pixel is a first-party analytics pixel for marketing agencies that sends unsampled data directly to BigQuery, past GA4’s sampling, retention and quota limits.

Archon Pixel at a glance

Archon Pixel at a glance

Category

Category

First-party analytics

First-party analytics

Sends to

Sends to

Google BigQuery

Google BigQuery

Sampling

Sampling

none

none

Best paired with

Best paired with

Archon AI

Archon AI

The problem

GA4 was never your source of truth.

GA4 samples data, keeps it for 14 months, and applies quota limits the moment a client gets big. Metric logic ends up scattered across calculated fields, so the same number differs per person and per day.

You can’t build a business on a dashboard that disagrees with itself. The raw events need to land somewhere you own, unsampled, with the gap consent leaves visible instead of guessed at.

One week of conversions counted four times, by Google Ads, Meta, GA4 and the client's own back office, shown as four bars of different height. Beneath them, one warehouse bar labelled one definition, counted once.
One week of conversions counted four times, by Google Ads, Meta, GA4 and the client's own back office, shown as four bars of different height. Beneath them, one warehouse bar labelled one definition, counted once.

How it works

Three steps, no mystery.

01

Capture first-party

A lightweight pixel collects every event, first-party, no sampling.

02

Land it in BigQuery

Raw events stream straight into a warehouse you own and control.

03

Define metrics in code

One agreed definition per metric, versioned, not buried in a UI.

What you get

Deliverables, not slideware.

First-party analytics pixel, per client property

Unsampled event stream into your BigQuery

Metric definitions committed as code, not UI settings

Unlimited retention, you own the raw data

A single source of truth every report reads from

No quota ceilings as client volume grows

The same question answered two ways. Route A, a connector querying live platform APIs, hits an API quota and sampling and returns three different numbers across three runs. Route B, the same query on rows in a warehouse the client owns, returns the same number every run.
The same question answered two ways. Route A, a connector querying live platform APIs, hits an API quota and sampling and returns three different numbers across three runs. Route B, the same query on rows in a warehouse the client owns, returns the same number every run.

Numbers we can stand behind.

+25%

more captured than a standard GA4 setup

0%

sampling, every permitted event lands in full

retention, you own the raw data

Questions

What agencies ask about it.

Isn’t the free GA4 BigQuery export enough?

The native export helps, but it still inherits GA4’s collection gaps and identity stitching. Archon Pixel fixes what is collected in the first place, so what reaches BigQuery is unsampled and as close to the truth as consent allows.

Do we need to replace GA4?

No. Most clients keep GA4 for its interface. Archon Pixel becomes the source of truth underneath it, so the numbers finally reconcile.

Who owns the data?

You do. It lands in your client’s BigQuery project. There is no lock-in and nothing hostage in our systems.

Can our analysts still use Looker Studio?

Yes. Anything that reads BigQuery works, Looker Studio, Sheets, notebooks, or an MCP-based AI tool via Archon AI.

What it does not do.

It is not a dashboard. Pixel is the foundation your reporting sits on, so you still choose what to build on top of it.

It is not a dashboard. Pixel is the foundation your reporting sits on, so you still choose what to build on top of it.

It does not fill in the past. Collection starts the day it goes live, and history stays wherever it already lives.

It does not fill in the past. Collection starts the day it goes live, and history stays wherever it already lives.

It does not take GA4 away from the people who like GA4. It stops GA4 being the only version of the truth.

It does not take GA4 away from the people who like GA4. It stops GA4 being the only version of the truth.

It does not make the data complete. Consent and blockers still remove a share, so the honest ceiling is around 95% of events rather than all of them.

It does not make the data complete. Consent and blockers still remove a share, so the honest ceiling is around 95% of events rather than all of them.

Further reading

The thinking behind it.

Why do your Looker Studio dashboards keep breaking?

Why do your Looker Studio dashboards keep breaking?

Quota errors and numbers that disagree are not chart problems. They are data source problems, and they share one fix.

Quota errors and numbers that disagree are not chart problems. They are data source problems, and they share one fix.

July 31, 2026

July 31, 2026

Why GA4 and Shopify never show the same numbers

Why GA4 and Shopify never show the same numbers

Shopify is not right and GA4 is not broken. They are two ledgers, and only one of them decides how the client's budget gets bid.

Shopify is not right and GA4 is not broken. They are two ledgers, and only one of them decides how the client's budget gets bid.

July 31, 2026

July 31, 2026

Where does GA4 "(not set)" traffic actually come from?

Where does GA4 "(not set)" traffic actually come from?

Four different empty fields hide behind one label in GA4, and three lookalike values get blamed for it. Telling them apart is the fix.

Four different empty fields hide behind one label in GA4, and three lookalike values get blamed for it. Telling them apart is the fix.

July 31, 2026

July 31, 2026

Why every attribution model tells a different story

Why every attribution model tells a different story

Same property, same week, three answers. What model disagreement really tells you, and which part of it is missing data.

Same property, same week, three answers. What model disagreement really tells you, and which part of it is missing data.

July 31, 2026

July 31, 2026

The next step

See what you’re losing.

We map where conversion data goes missing across your client accounts, and show what recovering it would be worth. Not a demo, not a sales call.

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