Define what tracking should look like. Implement it across every client. Validate it continuously. The methodology data teams use for warehouses — applied to data collection.
// the principle
// the principle
As data protection laws come into force globally, disciplined data collection isn't optional: you must decide what to collect, why, and whether you have authorization. Collecting it incorrectly is now a legal risk. You can't collect first and fix later — the data plan must be right from the start.
// the future
AI models depend on reliable, clean inputs to make decisions. Sloppy collection corrupts every downstream layer and leads to wrong calls. As AI becomes central to decision-making, the spotlight shifts upstream — to legally compliant, accurate, methodological data collection that feeds the warehouse.
// we believe
Data should be right from the moment it's collected. Garbage in, garbage out is a foundational principle of computer science — and trying to clean up garbage out when you started with garbage in is what costs teams time, money, and trust. That's why methodology isn't optional at the upstream of the data lifecycle. When the upstream is done right, every other layer can trust the data.
// the framework
Define what tracking should look like. Implement across every client. Validate continuously. Invite specialists and PMs to collaborate on each client. Data integrity upstream — where it matters.
// the methodology
// the canvas
Track every step of every client. Invite specialists and PMs to collaborate. Assign access per client. Centralize project management across your whole team — everyone references the same canvas, the same source of truth.
// how the framework holds itself together
Blueprint is the contract. Pulse enforces it.
// the case for MarTech
// the problem
MarTech ops treats downstream symptoms — broken dashboards, missing conversions, weird attribution — instead of the upstream cause: tracking implemented without discipline. Reactive, not preventive.
// the parallel
dbt solved this for data teams by naming analytics engineering and applying methodology at the warehouse layer. Data collection never had its moment.
// the proposal
Upstream Data Integrity Framework — Define → Implement → Validate — across every client, with the whole team aligned. Not just a tool. A methodology.
// tools
Twelve tools across the full lifecycle. The Blueprint is your data contract — what should fire, with what parameters, across every client. The Pulses enforce it — continuous checks that catch broken contracts. Everything else fits in between.
// how it works
Sign up, add a client, pick a tool. Audits return shareable Sheets in 5 minutes. Monitoring runs daily on autopilot. Your team and clients see the same source of truth.
"Built by data people,
for data people."
Martex gives marketing professionals the tools to validate, debug and audit their own analytics stack — independently.
// pricing
Free tier covers up to 3 clients with the Blueprint, three audit tools, and 5 more — one user, no team features. PRO unlocks scheduled monitoring (Pulses), extensive audits, saved reports, team collaboration and client-level access — billed per active client.
// get started
Join MarTech professionals who've stopped guessing and started validating.
No credit card. No setup fees. Just tools that work.