Your attribution is lying.
We fix that.
ProveMetric is an AI-engineering consultancy for growth. We rebuild your measurement and put AI to work in production — so every growth decision is backed by numbers you can actually trust.
You're not bad at marketing.
Your measurement is.
of teams feel truly confident about what's driving their results.
Conflicting platform data, disconnected tools, no agreed-on definitions. Everyone's reporting different numbers and no one knows who's right.
of business owners spend under an hour a day on marketing.
There's no time to reconcile three dashboards that disagree. So decisions get made on instinct — and the loudest channel wins the budget, not the best one.
demand on marketing today: prove the revenue, not the clicks.
Privacy changes and signal loss broke the old measurement playbook right as owners and boards started asking for ROI on every dollar. Most stacks never caught up.
Not a traditional agency.
AI engineers who do marketing.
A single version of the truth.
We rebuild your tracking layer from scratch. Clean event taxonomy, agreed-on metric definitions, one dashboard your CEO and CMO both trust. No more arguing over which tool is right.
GA4 · Segment · dbt · Looker · custom Python pipelines
Decisions backed by statistics, not instinct.
Proper holdout groups, incrementality tests, and A/B frameworks — not the kind where you call it "significant" after 3 days with 50 conversions. Real inference that holds up to scrutiny.
Power analysis · Bayesian testing · holdouts · synthetic controls
AI that ships to production, not to a slide.
Custom assistants, agents, lead scoring, intelligent routing, full AI builds — engineered into your stack and measured so you know exactly what each one is worth. If you have an AI project, we take it end to end.
Claude API · custom agents · n8n · Python · CRM integrations
Fixed scope. Clear deliverables.
No hourly billing.
Productized engagements — you get a system and an outcome, not a timesheet.
Growth Audit
10 business days
The fastest way to find your biggest growth lever. We go deep on your funnel, tracking, and metrics — and give you a prioritized backlog of exactly what to fix.
- KPI map & metric definitions
- Tracking gap assessment
- Funnel & cohort analysis
- Prioritized action backlog
- 60-min readout call
Attribution Reset
3 weeks
Your attribution is lying. This sprint rebuilds it. You get a measurement system your whole team agrees on — from event taxonomy to channel-level incrementality.
- Agreed-on metric definitions
- Clean event plan & implementation
- Dashboard your CFO trusts
- Lift testing roadmap
- Training for your team
Lifecycle Lift
3–4 weeks
Stop losing users you already paid to acquire. We build behavioral segmentation, triggered sequences, and retention experiments with proper holdouts.
- Customer segmentation model
- Email/SMS flow design
- Behavioral trigger setup
- Retention test plan
- Reporting dashboard
Experiment Engine
Monthly
A systematic, always-running experiment program. Every month: new tests designed, running, and read out — with budget reallocation recommendations grounded in statistics.
- Experiment backlog (prioritized)
- Test design & power analysis
- Statistical readouts
- Budget reallocation recs
- Monthly growth review
AI Build Sprint
2–4 weeks
Have an AI project in mind — an assistant, an agent, an automation, an integration? We scope it, engineer it into your production stack, and measure what it's actually worth. Not a demo that dies in a slide deck.
- Scoped build: assistant, agent, or automation
- Production deployment in your stack
- Impact measurement baked in from day one
- Team handoff & training
- Optional run-and-improve retainer
From first call to working system.
Discovery call
We talk through your stack, your metrics, and what's keeping you up at night. We'll tell you honestly whether we can help — and what that looks like.
Diagnostic
We audit your tracking, pull your data, and map your funnel — looking for the specific places where your measurement diverges from reality.
Delivery
You get working output: a dashboard, a rebuilt tracking plan, an AI assistant in production — not a slide deck of recommendations. We show you how to use it.
Compound
Most clients stay on retainer. Every sprint builds on the last: experiments run, data compounds, decisions get faster and more accurate.
Run by AI engineers.
Not account managers.
ProveMetric exists because we kept seeing the same thing: companies burning cash on marketing they couldn't measure, and AI pilots that never made it out of a demo. We've spent a decade shipping ML and AI systems. This is the focused version of that.
- Led by a Principal AI Engineer — 10+ years shipping ML and AI systems in production
- Attribution models, predictive LTV, custom AI assistants, and automations built for real companies
- The people who write the Python design the statistics and deliver the system — no hand-offs
- Maximum of 3 clients at any time, so nothing gets phone-it-in treatment
Privacy-resilient by default
First-party data, server-side tracking, and measurement systems that survive the next platform policy change. We stopped recommending third-party-dependent architectures in 2022.
Statistical rigor, not vibes
Every recommendation comes with a confidence interval, not just a direction. If there isn't enough data to say something with confidence, we'll tell you that too.
Deliver the system, not the slide
You get a working implementation — not a deck of recommendations your team will never act on. We build in your stack, with your team.
Reactivation campaign — lift test
booked jobs / week · treatment vs holdout
How confident are you in your marketing?
Take the 5-minute Marketing Confidence Scorecard and find out.
Let's look at your data.
30-minute call. We'll ask about your stack, your goals, and what's not working. You'll get a straight answer on whether we can help and what that looks like.
No deck. No proposal. Just a conversation about your data. If there's no fit, we'll tell you.