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Service 02 · Revenue Intelligence & Executive BI
The Single Source of Truth across marketing, CRM, and backend. No more CPA fairy tales from the ad networks. True customer acquisition cost, real LTV, AI-ready for 2026.
First call within 48 h · 5 working days · from €2,490 net
You're in the right place if:
Meta, HubSpot, and Stripe report three different acquisition costs.
CAC differs between the dashboard and the finance sheet.
Pipeline attribution isn't stable from month to month.
There's no shared definition of a qualified opportunity.
What we build
Tier 1 is the foundation Tier 2 doesn't work without. Predictive on inconsistent data automates hallucinations.
Clean marketing-to-CRM mapping, BigQuery as the central data foundation, dbt models for the core metrics. The attribution scaffold everything else builds on.
Fivetran setup (Meta, Google Ads, HubSpot, GA4), BigQuery project in EU region with IAM and cost controls, dbt with staging/intermediate/mart, dashboards for marketing and leadership.
Stripe and backend integration, LTV cohort analysis, anomaly detection, and forecasting at channel and cohort level.
Stripe API in BigQuery, LTV models per acquisition cohort, anomaly alerts on ROAS drift, forecasting layer (Prophet or ML depending on data volume).
How it works
No one-tool Swiss-army-knife. Each phase uses the tool that fits its job.
Pre-built connectors pull Stripe, HubSpot, Meta, Google Ads, and Shopify incrementally into the EU region.
BigQuery in EU multi-region: storage and compute separated, pay-per-query, no clusters to size.
dbt turns raw tables into tested models. When sales changes the CAC definition, it changes in one place.
Executive view on one page, operational views for marketing and sales, anomaly alerts in Slack.
Process
always starts with phase 1 · no blind build
One reporting use case, up to three existing data sources and five KPIs; reconciliation using existing exports or read access.
Data contract, event design, target architecture. We fix where each number is produced and who guarantees it.
Delivery in sprints, every module signed off on its own. Your team stays involved, not locked out.
Monitoring, release support, platform updates. Optional; plenty of clients run the setup themselves.
What you get
The Audit Sprint ends in a document: findings per layer, severity, effort, sequence. Not a slide deck full of recommendations in the subjunctive.
→ Findings with severity and reproduction path
→ Effort estimate per finding, in person-days
→ A draft data contract for the core events
→ An implementation plan another agency could execute
Deliverables · Revenue Intelligence & Executive BI
Structure taken from this page's scope of delivery. The concrete scope comes out of the audit.
Scopes
from €2,490 net
For the agreed audit scope
Report: 5 working days
Evidence and a concrete action plan for the agreed scope.
Fixed price
Quoted for your project scope
3–8 weeks
New implementation or rework to the agreed specification.
Monthly
Quoted for your support scope
3-month minimum
Ongoing support and development of your data architecture.
Audit Sprint: From the agreed start with complete access and documents. Scope and delivery date are agreed before commissioning.
All prices net, plus statutory VAT. For companies in Germany, Austria and Switzerland.
From the integrations catalog
Category: BI & VisualisationCategory: CDP & Event PipelinesCategory: CRMCategory: Marketing Automation
Audit Sprint: from €2,490 net, report in 5 working days. One reporting use case, up to three existing data sources and five KPIs; reconciliation using existing exports or read access. Evidence, action plan and a 60-minute review. From the agreed start with complete access and documents. Scope and delivery date are agreed before commissioning. Implementation is separate, with no follow-up obligation.
dbt enforces three things raw views do not: Git versioning, automated tests per model, and a clean layer separation between source data and business logic. With seven sources feeding ten downstream metrics, the view-only approach breaks on the first schema change. A view that nobody tests is a bomb on a fuse. dbt fixes that in days, not in weeks of incident response.
Through the official HubSpot API via Fivetran. Fivetran supports [EU multi-region](https://fivetran.com/docs/using-fivetran/fivetran-dashboard/account-settings/troubleshooting/use-fivetran-multiple-regions); the sync runs in EU-Frankfurt and the data stays in the EU region. PII fields (email, phone) can be excluded or pseudonymised per pipeline. With SCCs and a DPA in place, the connection stays audit-clean. An on-prem alternative via Airbyte Self-Hosted is available when the cloud vendor is contractually ruled out.
A typical mid-market configuration (5 sources, ~100M rows/month, 4 dbt models daily, 2 production dashboards) lands at €300–800 BigQuery, €200–500 Fivetran depending on connector mix, plus €50 dbt Cloud if used. Data (Looker) Studio is free; Power BI Pro is €10 per user. Operating cost scales with data volume, not with report count. Custom-ETL maintenance falls away.
For DACH mid-market setups, BigQuery is the more pragmatic tool in most cases: no cluster sizing, EU multi-region out of the box, native GA4 integration via the export, transparent pay-per-query pricing. Snowflake wins for multi-cloud scenarios and very high concurrency. Redshift sits more naturally in AWS-centric stacks. We recommend the warehouse to fit the situation, not the preference.
Next step
Audit Sprint: from €2,490 net, report in 5 working days. One reporting use case, up to three existing data sources and five KPIs; reconciliation using existing exports or read access. Evidence, action plan and a 60-minute review. From the agreed start with complete access and documents. Scope and delivery date are agreed before commissioning. Implementation is separate, with no follow-up obligation.
