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Datascale-led

The engineering team behind Munich marketing stacks

We help marketing and growth teams in Munich and across DACH build reliable measurement and reporting infrastructure: from GA4, GTM and Consent Mode to BigQuery, Looker and AI-ready data models.

  • GA4
  • GTM Server-Side
  • stape.io
  • BigQuery (Frankfurt)
  • Looker Studio
  • Consent Mode V2

In short

We build tracking, data architecture and reporting for marketing teams in Munich and across DACH. Based in Gräfelfing on the S6 line, workshops run on-site, the build runs remotely. GA4 and Consent Mode V2 at the front, BigQuery Frankfurt at the back.

Who it is for
Marketing & growth teams in Munich, the surrounding region and DACH
What you get
Server-side tracking, consent architecture, BigQuery reporting
Entry point
Audit Sprint from €2,400, in 10 working days

01Quick self-check

You're in the right place if:

Tick what applies.

02What we build

What we build for Munich teams

Most marketing problems in Munich are data problems. Tracking leaks conversions. The GA4 setup never ran cleanly after migration. The dashboard shows numbers nobody on the team believes. Datascale closes that gap: we are the marketing engineering team for companies that want their data and tracking architecture built, not just advised on. Based in Gräfelfing near Munich.

The full scope for each field sits on its own service page: Measurement & Privacy Engineering for server-side and consent, Revenue Intelligence & Executive BI for reporting, Modern Data Stack & Composable CDP for pipelines and warehouse, AI Strategy & Data Readiness for the AI phase.

Where we work

Based in Gräfelfing near Munich, on the S6 line. On-site in Munich and the surrounding region, remote across DACH.

  • Munich and Gräfelfing: workshops and audit walkthroughs on-site.
  • Augsburg and Ingolstadt: projects on-site or hybrid.
  • DACH remote: ongoing support wherever you are.

Why a team from Munich

Proximity creates speed. Workshops and audit walkthroughs run on-site or remotely, with teams in Munich, the surrounding region, and across the DACH region. What separates us from a classic data consultancy: we deliver implementation, not a strategy deck for the drawer. The people who sell it also build it. The team is on the About page.

03The difference

Classic marketing agency vs. Datascale.

Classic marketing agency
Focus on campaigns, creative and media buying
Reporting as a by-product, often from tool exports
Tracking just runs somehow, rarely server-side
An account manager between you and the work
A strategy deck at the end of the project
Datascale
Focus on tracking, data architecture, pipelines and BI
Reporting as a product, modeled in BigQuery
Server-side tracking, Consent Mode V2, EU hosting
A direct line to the engineers who build it
A built system at the end of the project

We are not a competitor to your paid or creative agency. We are the data and tracking layer it builds on, with documented handovers.

04The building blocks

Four fields. One team.

Bookable individually or as a chain, depending on how mature your current setup is.

Server-side tracking and consent

Client-side tracking loses 30 to 40 percent of its signal to adblockers and Safari ITP. We build the EU-hosted server-side architecture that stops it.

Concretely: Server-side GTM via stape.io, first-party subdomain, Consent Mode V2 in front, BigQuery in Frankfurt.

Tools: GA4 · GTM Server-Side · stape.io · Consent Mode V2

Reporting and business intelligence

A dashboard nobody opens is decoration. We unify marketing, sales and backend data in BigQuery and build reporting that feeds decisions.

Concretely: From Looker Studio to Power BI, with real contribution-margin figures rather than ROAS alone.

Tools: BigQuery · Looker Studio · Power BI · dbt

Data architecture and pipelines

A Marketing Data Lakehouse on BigQuery or Snowflake replaces expensive all-in-one CDPs. We build the pipelines that merge sources cleanly.

Concretely: Ingestion, modelling, data quality held stable through dbt tests.

Tools: BigQuery · Snowflake · dbt · Airbyte

Data for the AI phase

Clean first-party data is the prerequisite for any serious AI use case. We get the infrastructure into shape and clarify what the EU AI Act means for your pipelines.

Concretely: Risk classification of pipelines, data-provenance documentation, AI-ready data models.

Tools: BigQuery ML · Vertex AI · EU AI Act

05Who it is for

Who this pays off for.

Head of Marketing

Knows the setup is losing data, but not how much. And needs a number that holds up in the next budget conversation.

Managing Director / CMO

Facing a budget decision, and dependent on conversion data that is defensible internally.

IT and dev teams

Need a spec document they can implement directly, and a partner who does not disappear after launch.

Agencies as partners

Paid and creative agencies that need clean conversion data and a solid server-side setup without building engineering in-house.

What we do NOT do

Campaigns, creative and media buying, that stays with your agency, we deliver the data layer underneath
SEO and classic web development
Strategy decks without implementation, we deliver built systems, not a concept for the drawer
Admin rights and production credentials, read access is enough for an audit

Engagement depths

Three depths. Clear scopes.
No retainer trap.

Start here →

Audit Sprint

We audit what is wrong. Prioritised report + action plan.

Duration
10 working days
Price
from €2,400 net

plus statutory VAT

Included

  • Full analysis of the existing setup
  • Prioritised report with concrete actions
  • 90-minute walkthrough with your team

Not included

  • Implementation (follows in the Build Sprint)
  • Code in your app or website

When it fits

When the setup runs but the numbers are questioned internally.

Cross-service entry point. Fixed price depends on scope.

Request an Audit Sprint →

Build Sprint

Fresh build or restructure, built to spec.

Duration
2–8 weeks
Price
€8,500–50,000 net

plus statutory VAT

Included

  • Tracking and data architecture to a blueprint
  • Server-side setup + Consent Mode V2
  • QA, handover and support from Munich

Not included

  • Campaign execution, media buying, creative
  • Tool licences (billed directly, no markup)

When it fits

When a clean rebuild beats patching in production.

Typical builds €8,500–50,000 depending on service and scope.

Discuss a Build Sprint →

Managed Evolution

Ongoing partnership. Analytics as a product.

Duration
3-month minimum
Price
from €3,500 / month net

plus statutory VAT

Included

  • Monthly development + roadmap
  • QA on every release deploy
  • Slack support, < 4 h response (Mon–Fri)
  • Monthly report + executive summary

Not included

  • 24/7 on-call rotation
  • Campaign operations

When it fits

When analytics has to keep growing with you.

Monthly cancellation after the minimum term.

Request Managed Evolution →

All prices net, plus statutory VAT. For companies in Germany, Austria and Switzerland.

  • Q01
    Do you work on-site in Munich?

    We are based in Gräfelfing near Munich, on the S6 line. Workshops and audit walkthroughs run on-site or remotely. We support teams in Munich, the surrounding region, Augsburg and Ingolstadt, and across the DACH region.

  • Q02
    Are you a marketing agency or a data agency?

    A technical data agency. We build tracking, data architecture, pipelines and BI, not campaigns, creative or media buying. Datascale is a marketing engineering team, not an advisory shop. The people who sell it also build it.

  • Q03
    Can you work alongside our existing agencies?

    Yes, regularly. We are the data and tracking layer the paid or creative agency builds on, not their competitor. We deliver clean conversion data, server-side setups and reliable reporting, with clear handovers to the agency side.

  • Q04
    What access do you need for an audit?

    Read-only is enough. GA4 with the Analyst role, GTM read access, access to the consent tool and, if active, Google Ads and the BigQuery export. No admin rights, no production credentials.

  • Q05
    What does a marketing engineering project in Munich cost?

    The usual entry point is an Audit Sprint at a fixed price of €2,400 net, delivered in 10 working days: a prioritised report plus a 90-minute walkthrough. Build projects start from €8,500, ongoing support from €3,500 per month, each scoped to the work.

Next step

Where is your tracking losing data today?

Audit Sprint at a fixed €2,400 net, delivered in 10 working days. Prioritised report, 90-minute walkthrough call. No follow-on contract, no forced retainer.

Entry
from €2,400 net
Delivery
2 weeks
Scope
Modular