Attribution cleanup
We reduce reporting noise so channel, product and CRM decisions are made on the same numbers.
MARKETING · Growth-Analytics
Entscheidungen mitechter Attribution.
Dashboards, Experimente und Attributionsmodelle, die dir zeigen, was wirklich funktioniert — und was du killen solltest.
Board-ready reporting
Leadership gets a clear view of efficiency, conversion and retention without spreadsheet archaeology.
Experiment literacy
We connect test design and interpretation so teams stop shipping changes that never really learned anything.
Überblick
Jenseits von Vanity
Die meisten Analytics-Setups beantworten 'wie viele?'. Unsere beantworten 'warum?' und 'was, wenn wir das ändern?'. Wir bauen Mess-Frameworks, denen dein CFO vertraut und auf die dein Produktteam reagieren kann.
In Zahlen
<4 Wo
Typischer Implementierungs-Turnaround
+40 %
Conversions zurückgewonnen via Server-side-Tracking
100 %
Consent-Mode-konform ab Tag eins
1
Source of Truth — Warehouse-first, kein Tool-Lock-in
Was enthalten ist
Attributions-Modellierung
Multi-Touch, MMM und Incrementality-Tests — das Modell, das zu deinem Business und Budget passt.
Experimentation
A/B- und Split-Test-Infrastruktur mit echter statistischer Strenge und Pre-Registration.
Dashboards & Reporting
Looker, Metabase oder Self-Hosted — Dashboards, die dein Team wirklich öffnet.
Data-Warehouse
BigQuery, Snowflake oder Postgres — Pipelines aus deinen Tools in eine einzige Quelle der Wahrheit.
Implementierungs-Audits
Tag Manager, GA4, Server-Side-Tracking — wir reparieren, was kaputt ist, bevor wir mehr hinzufügen.
Where this service fits
Use cases that justify the investment.
These are the scenarios where this service usually creates leverage fastest and with the least organizational friction.
Leadership reporting
Give executives numbers they can trust
Unify product, channel and CRM reporting around the same definitions, cadences and caveats.
Funnel instrumentation
Track the moments that actually move revenue
Events, properties and attribution logic mapped to the decisions product and growth teams need to make.
Experiment system
Turn tests into a repeatable operating rhythm
Measurement QA, hypothesis templates and readout discipline so experiments compound instead of confuse.
So arbeiten wir
01
Audit
Bestehender Stack gemappt, Lücken gelistet, Messplan mit Stakeholdern entworfen.
02
Implementierung
Pixel, APIs, Warehouse-Pipelines und Dashboards — gebaut auf Basis des vereinbarten Plans.
03
Validierung
Datenqualitäts-Checks, Finance-Reconciliation und Privacy-/Consent-Prüfungen vor dem Rollout.
04
Betrieb
Experiment-Backlog, Hands-on-Training und monatlicher Health-Check — plus Roadmap-Review.
Was du bekommst
- Live-Mess-Playbook für dein Team
- Tracking-Implementierung über Web, Mobile und CRM
- Executive- und Ops-Dashboards
- Experiment-Backlog und Run-Rate
Engagement fit
Best when decisions are slowed by bad data.
Use this when teams argue about reporting, cannot trust attribution or lack a clear readout loop for product and growth work.
- Typical scope
- Tracking design, data QA, dashboards, attribution, experiments
- Core squad
- Analytics lead, implementation engineer, analyst, growth/product partner
- Governance
- Measurement audits, event taxonomy reviews, reporting cadence
- Success signal
- Fewer reporting disputes and faster decision velocity
Typical stack zones
Analytics infrastructure, not dashboard theater.
We choose tools based on what must be trusted, joined and acted on. The reporting layer matters less than the measurement discipline underneath it.
Collection
GA4MixpanelPostHogGTMServer Events
Warehouse & models
BigQuerySQLdbtEvent TaxonomyAttribution Logic
Readouts
Looker StudioMetabaseHubSpotExperiment LogsExecutive Dashboards
Häufig gefragt
Hängt von Datenvolumen und Privacy-Haltung ab. Wir helfen bei der Wahl und implementieren sauber.
Verwandte Services
Überblick
Bereit, mit uns zu launchen?
Erzähl uns, was du baust. Wir antworten innerhalb eines Werktags — ohne Sales-Call.