Stop burning budgeton false data.
Most companies "have analytics". I build the data infrastructure that shows the truth about where your customers come from and what they really cost to acquire.
Why a "plugged-in pixel"isn't analytics.
Most implementations look correct, until you check how much data you are actually losing.
Most implementations
- A pixel pasted into <head> with no Data Layer
- GA4 "out of the box" that knows nothing about your business
- Ad blockers lose 20–40% of conversions
- 7-day cookies (ITP): the customer journey breaks after a week
- GDPR: the banner is there, tag blocking is not
My approach
- A Data Layer as the foundation of the whole architecture
- Advanced GA4 configuration: audiences, parameters, funnels
- Server-Set Cookies: 2 years of full attribution
- SST sends clean signals to the AI algorithms
- Consent Mode v2 with technical verification
A technical stackthat works.
Full analytics needs six layers. Missing any one of them creates a gap in the data.
GTM + Data Layer
A clean event schema. Every click, form and transaction lands in the Data Layer first, and GTM distributes it from there. One place governs all the data, instead of tags scattered across the whole site.
Advanced GA4 configuration
You measure what matters to your business: custom parameters, audience segments and conversion-path explorations. A configuration built to fit, not the default one.
Server-Side Tagging (sGTM)
Your own tag server: ad blockers stop blocking, cookies live for 2 years, data reaches the ad algorithms clean.
Meta Conversions API (CAPI)
Conversion signals straight from your server, not the browser. GDPR-compliant, no double counting, with higher Event Match Quality.
Google Enhanced Conversions
Hashed first-party data (email, phone) sent straight to Google Ads. Conversions still match even when cookies fail.
Consent Mode v2
Behavioral modeling of data wherever the user declined consent. A Google requirement since March 2024.
// SERVER-SIDE TAGGING
An unfairadvantage over the competition.
In 2026 this should be the standard. But most companies still rely on browser-side measurement, losing 20% to 40% of their conversion data.
Implement Server-Side Tagging
Supercharged algorithms
Scripts lose data, so ad systems end up guessing who to show an ad to. SST sends hard evidence about conversions straight from the server. The algorithm learns faster, and you stop burning budget.
Immunity to ad blindness
Ad blockers and ITP do not block requests from your server. You recover 20–40% of invisible conversions that used to vanish in the shadows.
Long-term attribution
Server-set cookies live up to 2 years instead of 7 days. You see the full customer journey, not just the last click before purchase.
Who it's for.
I don't work with everyone. This service is for companies that spend serious budgets and have stopped trusting their own data. If you recognize yourself in at least three of the points below, it's time to talk.
You spend at least 10,000 PLN/month on ads and do not know what actually returns ROI
Your GA4 does not match the data from the ad platforms
You run an e-commerce, but conversions duplicate or vanish without a trace
You are moving to Consent Mode v2 and do not know where to start
You want to implement SST but have no developer resources
Your ROAS looked great, but sales are dropping: something is off
// CASE STUDY
An e-commerce store,EMQ 9.3/10.
WooCommerce. The same GA4 tag loaded in three places, a single purchase fired up to three purchase events. Decisions rested on data that was fiction.
CHALLENGE
A soup of tags
- The same GA4 tag in 3 places: GTM, a plugin, code hardcoded by a developer
- One purchase = up to 3 purchase events in GA4
- A hidden gtag inside a custom "multi-pack" module
- Ad algorithms were learning on duplicated conversions
SOLUTION
One source of truth + SST
- Stripping the stack down to a single source: GTM
- Server-Side Tagging on Stape + Cloudflare Workers (same-origin)
- A custom Data Layer script for the multi-pack module
- Meta CAPI with a dedicated Data Tag + PII normalization
RESULT
EMQ 9.3/10 and clean data
- Meta Event Match Quality 9.3/10 for the Purchase event
- A full set of user parameters on 100% of Purchase events
- No more multiple counting: one source of truth
- First-party cookies from the server instead of 7-day Safari ITP
How I work.
Step 01: Audit
GTM, GA4, ad pixels, Consent Mode, duplicate transactions. 50+ checkpoints. I know the starting state before I change anything.
Step 02: Architecture
Data Layer schema, event map, tagging plan. Documentation that outlives the project and onboards every new developer.
Step 03: Implementation
I build the sGTM server on Stape, plus CAPI and Enhanced Conversions. I verify everything on a test version before anything touches your live site.
Step 04: Verification
GA4 DebugView, Tag Assistant, Server Preview. Every conversion confirmed by hand. No "I think it works".