What is included
- GA4 setup: events, conversions, parameter structure – clean from the ground up
- Server-side tagging & tag management (GTM) for reliable data
- Consent management (CMP) per market: DACH, EU, UK
- Attribution models & data quality reports
- Ads → CRM → analytics integration: one data flow, one truth
Cost savings & workload
Numbers that deliver themselves – no more hours of exporting.
Cost savings through automation
Manual exports & corrections: zero
Automated pipelines replace manual exports, cross-checks and correction hours. Every decision is made with numbers that are correct and up to date – and the cost of a wrong decision drops with them.
Workload reduction
Dashboards maintain themselves
Tracking maintenance, data flows and dashboards run independently. No more manual report building: your team reads the numbers, the system produces them.
Effect size depends on starting point, team size and tool stack – the concrete figure we name in the audit.
Optional: in 24/7 operation, driven by agents
This service can be operated continuously by an agent stack: budget, data, tests and delivery run on autopilot and your team shrinks to strategy and decisions. An agent stack is an option with us, not a must – we deliver the same service fully manually or in hybrid mode as well. Details below.
Autonomous agent organisation · Tracking & Attribution
Tracking Orchestrator
Numbers that check themselves.
Tracking and attribution are the foundation every other service stands on – and the first to gather dust. Our tracking orchestrator coordinates validation, consent, attribution and alert agents that continuously cross-check events, consent states and attribution models. Your GA4/server-side setup stays an instrument, not a game of guesswork.
4 specialists on 24/7 duty – each accountable for one KPI
Validation Agent
● runs 24/7
KPI: event error rate
Consent Agent
● runs 24/7
KPI: consistency rate
Attribution Agent
● runs 24/7
KPI: model drift
Alert Agent
● runs 24/7
KPI: detection time
all results flow in
new rules back into the agent stack – the cycle starts again
How to read the diagram: at the top, the orchestrator – it decides which actions run. Below, the agents work 24/7, each accountable for exactly one KPI. All results flow down into the self-learning loop (01 Measure → 02 Analyse → 03 Learn → 04 Apply). The new rules that emerge return into the stack via the left line – so the system gets better every week without anyone fine-tuning by hand.
The agent stack in detail
Every agent works 24/7 in the background: it consumes specific data, produces decisions or content from it and is accountable for exactly one metric.
Validation Agent
runs 24/7Tests all events and parameters after every deploy: missing, duplicate or renamed signals get flagged immediately.
- consumes
- all event feeds after every deploy
- produces
- instant reports on missing, duplicate or renamed events
- KPI
- event error rate
Consent Agent
runs 24/7Ensures consent states stay consistent across CMP, tag management and the server-side tag – GDPR as standard, not as a project.
- consumes
- consent states from CMP, tag management and server-side
- produces
- consistent consent rules across all systems
- KPI
- consistency rate
Attribution Agent
runs 24/7Benchmarks multi-touch models against last-click comparisons, detects channel drift and suggests budget shifts.
- consumes
- multi-touch and last-click data per channel
- produces
- channel comparisons with concrete budget recommendations
- KPI
- model drift
Alert Agent
runs 24/7Reports tracking outages (e.g. after iOS updates or domain changes) within minutes – including the affected channel and the fix.
- consumes
- tracking pipeline, tag errors, platform updates
- produces
- outage alerts within minutes – with channel and fix
- KPI
- detection time
Automated A/B tests
A/B tests run automatically: attribution models and event designs are compared in variants before being standardised – the report shows the difference, not the hope.
Autonomy levels: who may decide what?
Autonomous – immediate
Bid adjustments within approved frames, budget shifts under threshold, new creatives from the test inventory, negative keywords. The agent executes and documents afterwards.
Orchestrator decision
Channel recommendations, test launches, re-priorisation, rule updates from the learning loop. The orchestrator compares agent recommendations, checks them against frames and decides.
Human approval
Budget increases above threshold, campaign pauses, new audiences, price and promise changes. These actions only run after approval – visible in the dashboard.
The orchestrator’s own duties
The tracking orchestrator keeps the data base of every other service in check: it validates every new event, watches consent consistency across all systems and continuously compares attribution models – changes to event definitions only take effect after approval.
Orchestrator live dashboard
- Event validation (error rate per event)
- Consent consistency (CMP vs. server-side)
- Attribution drift per model
- Tag errors (PageSpeed/console)
- Estimated data loss
- Open validation fixes
The orchestrator checks these metrics hourly – deviations land in the task queue or become an approval request for the team.
Human-in-the-loop: approval required
- Changes to event definitions (schema)
- Attribution model switch
- New domains/tags in live tracking
- Deletion of tracking data
The agents work autonomously – up to this point. The orchestrator executes these actions only after approval. That is the difference between automation and risk.
Self-learning: the 4-step cycle behind the org chart
Tag-level validation and consent deviations become the learning base: the orchestrator recognises where data is leaking and which event definitions are unstable – and automatically prioritises the fix queue by data-loss impact instead of waiting for manual audits.
The self-learning loop turns permanently – the agent stack gets better week by week without anyone fine-tuning by hand:
Measure
All results flow in: conversions, costs, delivery rates, rankings, engagement. Without clean measurement an agent learns nothing – which is why the tracking setup is the foundation of every stack.
Analyse
The orchestrator compares results against targets and history, separates causality from coincidence (significance) and recognises which changes really had impact.
Learn
From that, new rules emerge: score weights, bid margins, fatigue thresholds, segments. The orchestrator checks every rule against the approved budget and risk frames.
Apply
The new rules enter the agent policies – from the next round, all agents work with the updated knowledge. The cycle starts again: measure, analyse, learn, apply.
Fewer heads, more output: agents take the routine – your team only steers strategy and budget frames.
Agents are an offer, not a must – you choose the automation level
We deliver every one of these services fully manually as well. The agent stack is one option – and you can switch between the modes at any time without losing your setup or your results.
Fully manual
Classic service: our operational team executes every action personally – setup, operation, reporting. The same quality, fully human operation, maximum control.
Hybrid
Agents take routine, monitoring and 24/7 continuous testing; your team and our operational team decide, prioritise and fine-tune. The most chosen mode.
Autonomous with approvals
The agent stack runs fully through – critical actions (budget, audiences, promises) only after your approval in the dashboard. Maximum output, clear accountability.
All three modes use the same systems architecture – you can switch between them at any stage.
A look into the 24/7 operation: our agent dashboard
This is what operation looks like when this service stack runs on autopilot: orchestrator, KPIs, running A/B tests and your approvals – as an interactive preview with sample data.
Who this service is for
Mid-market with a clear growth goal
20–500 employees who want to turn more traffic into more qualified leads and more closes – without overwhelming sales.
Teams juggling several scattered tools
CRM, email, ads and analytics run side by side. We bring them into one system with a single source of truth.
Companies in DACH + international markets
Same systems architecture, local market logic for Italy, Spain, France, the UK – measured in one report.
How the delivery runs
- 01
Audit & target picture
We analyse data quality, existing processes and KPIs – honestly, with numbers. The result: a shared target picture and a prioritised roadmap.
- 02
Build in milestones
Implementation in clearly prioritised stages – each with a measurable goal. You always see what is going live and what it delivers.
- 03
Operation & scaling
We observe, test and optimise continuously. Monthly reporting, clear KPIs, no black box – scaling follows the numbers, not gut feeling.
Typical starting situations we solve
These patterns keep coming up in our audits. If one of them fits, a conversation is almost always worth it.
Leads come in, but nobody knows if they are good – no scoring, no priority.
The CRM is half-set-up and nobody dares to touch it – the data is incomplete.
Emails are sent, but delivery, open and click rates are weak.
Tracking is broken or missing – attribution is guesswork instead of facts.
What we deliver – concretely
Measurable KPI roadmap
Clear goals per milestone – from lead source to revenue. We name the numbers that should change before we start.
GDPR, consent & data hygiene
Compliance is part of every setup: consent, deletion concepts, clean data – no retrofitting after the data-protection audit.
Documentation & handover
Everything documented: setups, workflows, logic. Your team can keep working independently after the collaboration – no lock-in.
Frequently asked questions
Do we really need server-side tracking?
Yes, as soon as iOS and browser blockers cap more than ~15% of your conversions. Server-side restores the signals and is the basis for Meta CAPI and Google Enhanced Conversions. For paid scaling it is now standard, not a luxury.
What happens to our old tracking data?
We migrate what is relevant (conversions, historical benchmarks) and mark the break honestly in reporting. Data before and after the new setup we compare separately – otherwise you compare apples with pears.
How long does a tracking setup take?
A clean new setup (GA4 + GTM + consent + ads integration) takes 3–6 weeks. Existing setups we audit in 1–2 weeks and prioritise the fixes afterwards.
Which attribution models do you use?
Position-based (First/Last + Middle) as a base, data-driven where the volume supports it. We always show both perspectives – first-click for budget planning, last-click for campaign tuning.
What does Tracking & Attribution cost with Core Online Marketing?
It depends on scope, tools and data quality. In the first call you get a concrete range and a milestone roadmap – no strings attached. Ongoing operation is available as a monthly package, projects as a fixed price.
How quickly will we see first results from Tracking & Attribution?
Usually after 4–8 weeks, depending on the starting point. In the audit we define the KPIs that should change, and we report monthly and transparently – what is better, what is unchanged, what is worse.
Do you work with our existing tool stack?
Usually yes – we are tool-agnostic. If an existing tool makes sense, we keep it; if not, we advise on switching. Partner discounts do not drive recommendations.
Do we need dedicated staff on our side for this?
One contact person for decisions is enough. We handle build and operation and document everything, so your team can continue independently after the collaboration.
Are you set up for international markets (e.g. Italy, Spain, the UK)?
Yes. We are based in Berlin and work with local performance leads for Italy, Spain, France and the UK – the same systems architecture, local market logic, reporting in one currency: your KPIs.
Do you also run the ongoing operation, or just the setup?
Both is possible. Many clients start with the setup and take over the operation themselves afterwards – we document and train. Others let us run the whole operation. In the first call we say honestly what serves you better in your situation.
How do you handle legacy data and historical content?
We start with a data audit: what is usable, what needs to be cleaned, what can be deleted. Historical content is mapped and migrated where it is worth it – not blindly. You start clean, without inheriting debt.
What concrete cost savings and workload reduction does Tracking & Attribution bring?
Automated pipelines replace manual exports, cross-checks and correction hours. Every decision is made with numbers that are correct and up to date – and the cost of a wrong decision drops with them. On the workload side: Tracking maintenance, data flows and dashboards run independently. No more manual report building: your team reads the numbers, the system produces them. We show the concrete calculation for your setup in the first call.
Tracking & Attribution: Let us calculate what it is worth for you
30 minutes, no strings. We look at your numbers and show where the lever is.
Request a call30 minutes, no strings. No pitch – we look at your data.