Turn Messy Product Data Into Governed GTM Signals

For B2B SaaS Scaleups. Stop scaling headcount to force growth. Make your product do the heavy lifting. I deliver the deployment-ready Revenue Architecture that allows you to scale NRR without scaling payroll, optimizing the full customer journey from Account Retention to Enterprise Expansion.

The Signal Foundation

1-Week Deployment Sprint

Prerequisites:

Target Profile: Early-stage data infrastructure or companies preparing for their first dedicated Data/RevOps hire. Data Sources: Product Telemetry Only (Segment/Rudderstack; Events → Warehouse).

4 500 € (Fixed Project Fee excl. VAT)

All prices exclusive of VAT

Deploy Your Baseline

The Problem

Your product usage data is messy and fragmented. Product and Sales are disconnected because there is no governed 'Data Bridge' between them, leaving your data team stuck maintaining 15 different SQL definitions of an 'active account'.

The Solution

I drop a proprietary, battle-tested dbt package directly into an isolated schema in your warehouse. This 1-week deployment sprint replaces fragmented SQL with an opinionated GTM signal architecture so your revenue org finally shares a Single Source of Truth.

Why This Works

Fast Start: Priced to fall under a VP's discretionary budget, allowing you to skip procurement delays.

Zero-Risk Deployment: I build the architecture in isolated schemas, meaning there is zero risk to your existing production pipelines.

Immediate Alignment: Product, Sales, and Data immediately agree on what a true 'Active Account' looks like.

Engineering Relief: Saves your data team weeks of writing SQL boilerplate.

Methodology

My approach replaces passive reporting with an active, self-driving GTM system.

1. The Logic (Filter the Noise):
We do not attempt advanced predictive scoring on messy data. Instead, we strip out the vanity metrics (e.g., simple logins) from your event telemetry and mathematically codify what an 'Active User' and 'Active Account' actually means for your business.

2. The Architecture (Govern the Baseline):
I deploy a customized GTM signal architecture, not just generic dbt models. This establishes the strict 'Source of Truth' dictionary for your warehouse.

3. The Execution (Ready for Activation):
While this sprint focuses on the baseline, it creates the exact robust foundation required for your team to build custom health scores and seamlessly pipe data into your CRM during future Engine sprints.

Timeline

I follow a strict sprint model to ensure speed and clarity.

Day 1 (Alignment): We start with a kickoff to map out your current telemetry and confirm access via Zero-Trust protocols.

Days 2-4 (Deployment): I deploy the opinionated dbt package directly into your isolated warehouse schema and filter the activation baseline.

Day 5 (The Handover): I present the final deliverables, the GitHub repositories, and conduct the 'Transfer of Ownership' plan with your team.

What You Walk Away With

You own the IP and the code. Your data and RevOps teams walk away with:

Governed GTM Signal Architecture: An opinionated dbt package deployed in your environment.

Noise-Filtered Activation Baseline: Clean, standardized tables replacing your messy event data.

Codified Activation Logic: A clear, unified definition of 'Active Users' and 'Active Accounts' to serve as a robust basis for future health scoring (includes an example health score from my open-source dbt package).

Transfer of Ownership Plan: Documentation ensuring your team can maintain the baseline.

The Zero-Risk Standard & Satisfaction Guarantee

I build this architecture in isolated schemas, guaranteeing zero risk to your production pipelines. We conclude the sprint with a 'Transfer of Ownership' session. If the specs or strategies are not crystal clear for your team to execute and maintain, I will refine them immediately at no additional cost until clarity is achieved.

Deploy Your Baseline

Satisfaction Guaranteed

Clarity, not dependency: My role is to equip your team with deployment-ready capabilities, not to become a permanent fixture in your Slack. We conclude every engagement with a 'Transfer of Ownership' session. If the strategy, specifications, or logic are not crystal clear for your team to execute, I will refine them immediately at no cost.

The Safety Valve Guarantee: I don't do complex SOW negotiations or demand massive upfront fees for unverified data projects. For our high-leverage Engine sprints, we operate on a low-friction €4,500 deposit. If a Week 2 data audit proves your data cannot support the architecture, I stop the project. You keep the baseline roadmap, and you are never billed for the rest of the engine.

Zero-Friction Procurement: We operate exclusively on transparent, fixed-fee sprints backed by our public Standard Agreements and strict Zero-Trust Data Protocols, designed to clear your Legal and InfoSec teams in days, not weeks.