datascale

Search services, integrations and blog posts.

Marketing Engineering from Munich, delivered across the EU, UK and US

When GA4, Ads and your CRM report three different revenue numbers, your marketing is not the problem

We build the data and tracking architecture your marketing runs reliably on.

Request an Audit Sprint

First call within 48h · report in 2 weeks · from €2,400

  • Marketing engineering since 2019 · GmbH since 2024
  • Gräfelfing near Munich
  • 70+ setups across DACH
  • Retail, MedTech, FMCG, automotive
  • Fixed prices, published
  • Our own stack live at /open

What you can expect

  • Your stack is the starting point
  • GA4, GTM, BigQuery & BI included
  • Consent and privacy considered
  • Read-only start available
  • Priorities, not tool dogma

Track record

What we claim. How we back it.

Permanently anonymised. A firm that talks about others will talk about you.

  • 30 % → 5 %

    Direct traffic corrected, attribution usable again

    • stape.io
    • Google Tag Manager
    • gclid restore
    • BigQuery
    How this number was produced
    Baseline
    Around 30 % of all sessions arrived as (direct)/(none).
    Period
    2020, measured before and after the migration.
    Method
    Share of sessions with source (direct)/(none) against all sessions in the web analytics reporting, before and after the migration.
    What it does not show
    The figure describes session attribution, not revenue. Genuine direct entries and bot traffic remain inside the residual share.
  • 120+ websites

    Data collection standardised across three regions

    • GA4 360
    • BigQuery
    • dataLayer
    • Data Studio
  • +20 %

    More conversions captured for paid media

    • Meta CAPI
    • TikTok Events API
    • Google Ads
    • stape.io
  • Excel → automated

    Manual weekly reporting retired

    • funnel.io
    • BigQuery
    • Data Studio

An anonymised sample of the audit report.

Structure, depth of findings and prioritisation, as a PDF. No tracking, no third-country transfer.

Request the sample report

Whoever sells, builds.

No account-manager firewall, no juniors sold as seniors. The person who plans your setup builds it too.

  • 3 senior specialists
  • Gräfelfing near Munich
  • since 2019
  • GmbH since 2024

Public Stack · Live

Our own stack runs in public.

Our own website stack is intentionally lean: Plausible Community Edition, self-hosted in the EU, with a public dashboard at /open. It is a transparency example for cookie-free, verifiable analytics, not a default recipe for every client. For client setups, we build pragmatically around the use case: GA4, server-side GTM, Consent Mode, BigQuery, Ads, Meta CAPI, BI or Plausible.

Live, public at /open/
$plausible.tail --site=datascale.de --limit=5
  1. 14:32:07/en/Chrome · DE
  2. 14:31:58/en/services/Safari · AT
  3. 14:31:41/en/blog/ga4-audit-errorsFirefox · CH
  4. 14:30:22/en/open/Chrome · DE
  5. 14:29:15/en/resources/measurement-health-check/Chrome · DE
Sample recording, the full live dashboard is public at /open/.

How the Audit Sprint works

From first call to roadmap in 2 weeks.

Fixed flow, fixed price. No open-ended timesheet.

  1. 01

    Intro & access, within 48h

    First call within 48 hours, first findings in the call itself. Then read-only access to GA4, GTM and your consent tool. No production credentials needed.

  2. 02

    2 weeks of audit

    We check five layers of your setup:

    • tracking_coverage
    • consent_compliance
    • data_quality
    • reporting_truth
    • stack_reliability
  3. 03

    Findings & roadmap

    Report, prioritised action plan and a 90-minute walkthrough. Then you decide.

from €2,400 netfirst call within 48hreport in 2 weeks

Services

Our expertise.

Five services. Clear scopes. Concrete deliverables. No "let's have a look and see" proposals.

  • Datascale-led

    Measurement & Privacy Engineering

    Clean tracking, adblocker-resistant, GDPR-compliant, and with data quality GA4, Ads and Meta can actually rely on.

    • GA4
    • GTM (Web & Server-Side)
    • Piwik PRO
    • +2 tools
  • ✓ End-to-end implementation

    Data Platform & Governance

    Marketing Data Lakehouse on BigQuery/Snowflake, plus the governance and tests that keep the numbers from drifting apart again.

    • BigQuery
    • Snowflake
    • dbt
    • +2 tools
  • ✓ End-to-end implementation

    AI Strategy & Data Readiness

    From EU AI Act to custom LLMs: your data infrastructure for the AI era.

    • Vertex AI
    • Python/R
    • BigQuery ML
    • +1 tool

Full-Cycle services are delivered jointly with our engineering partner Saloid ↗

Compare scopes
  • Q01Price · Duration
    What does an Audit Sprint cost and how long does it take?

    The Audit Sprint starts at €2,400 net, a fixed price by scope (Audit Sprint / Audit Sprint Plus), and runs 2 weeks. Complex setups with multiple brands or app, web and shop take three weeks. We flag that at kickoff.

  • Q02GDPR
    Do you work GDPR-compliant, and where does the data sit?

    Yes. This site tracks cookie-free with Plausible Community Edition on our own EU server; the dashboard is public at /open/. For client projects it is EU-first: EU servers, EU tools, EU contracts. We use US tools only with a DPA and SCCs, when the business case genuinely needs them.

  • Q03Access
    Do you need access to our systems?

    Read-only is enough for the audit. No admin rights, no production credentials:

    • GA4 property. Analyst role
    • GTM container. Read
    • Consent tool. Read
    • Google Ads (Analyst) and BigQuery, if export is on
  • Q04Fit
    Who is Datascale not the right partner for?

    For 200-hour discovery processes, when a brand name is needed for the board slide, for campaign execution (creative, media, ads ops), or a single 8-hour ticket. There are better providers for that, and we will name them.

  • Q05Team · Agency
    Do you replace our agency or our in-house team?

    No. For the paid side we are the data foundation your agency builds on, not a competitor. And once your in-house team is in place and the volume is there, in-house is almost always better, we build the foundation before that and hand it over.

Architecture audit

Identify the blind spots in your data architecture.

We audit your tracking, consent, data quality and reporting. You leave with a clear assessment of which decisions your current data can safely support. First call within 48 hours.

  • 90-min deep dive
  • Concrete findings
  • Roadmap proposal