Most mid-market companies spend $10K+/month across 15-25 disconnected platforms. They track vanity metrics. They can't answer the five questions that actually predict revenue growth. We build the intelligence engine that can.
You're exporting CSVs from Shopify, cross-referencing Klaviyo open rates with Meta ROAS in a spreadsheet, and calling it attribution. Your marketing team spends more time building reports than reading them.
Revenue intelligence isn't a dashboard. It's knowing which customers drive margin, which channels pay back fastest, where activation breaks, what predicts churn, and whether your growth is efficient or just expensive. Most companies can't answer any of these. That's the gap we close.
Which customer cohorts actually drive margin? Not just revenue—contribution margin by acquisition source, first product, and channel.
How fast does each channel earn back its spend? Not blended CAC—segmented, so you know which dollars are working.
What % of first-time buyers make a second purchase? The ecommerce average is 28%. The gap between purchase 1 and 2 is where most DTC brands bleed.
Which customers are expanding, which are churning, and what behaviors predict each? Not RFM bins—real state transitions with predictive signals.
How much new revenue per dollar of growth investment? The one number that tells you if you're scaling or just spending.
Growth Intelligence isn't one project. It's three capabilities that build on each other. Start wherever your data maturity demands.
You can't measure what you can't see.
We connect your source systems into a single warehouse with governed dbt models. This is layer zero—without it, every metric above is a guess built on CSV exports.
Metrics in a warehouse are useless. They need to be in operators' hands.
We build the consumption layer—working apps that put the Growth Intelligence metrics in front of the people who make decisions. Not dashboards they ignore. Apps they use daily.
Once you see the signals, agents close the loop.
We deploy production-grade AI agents that act on the intelligence—automated workflows triggered by the metrics, not by humans remembering to check a dashboard.
Every engagement starts with a question: can we actually measure the metrics that matter for your business? The sprint answers it in two weeks.
No NDAs on cost. No "schedule a call to find out." Here's what it costs, tiered to your company size.
| $2-5M ARR | $5-10M ARR | $10-50M+ ARR | |
|---|---|---|---|
| Data Centralization 45–90 day implementation | |||
| Implementation /month | $5,000 – $7,500 | $7,500 – $11,000 | $11,000 – $15,000 |
| Retainer /month | $3,500 – $5,000 | $5,000 – $7,500 | $7,500 – $10,000 |
| Data Applications 45–90 day implementation | |||
| Implementation /month | $5,000 – $7,500 | $7,500 – $11,000 | $11,000 – $15,000 |
| Retainer /month | $3,500 – $5,000 | $5,000 – $7,500 | $7,500 – $10,000 |
| AI Agent Orchestrations 45–90 day implementation | |||
| Implementation /month | $10,000 – $13,000 | $13,000 – $16,000 | $16,000 – $20,000 |
| Retainer /month | $7,000 – $9,000 | $9,000 – $11,000 | $11,000 – $14,000 |
We quote a specific number in the sprint deliverable based on your data maturity and scope.
No long-term contracts. Quarterly retainer commitment. 30-day notice to cancel.
All work is senior-led. No junior handoff. No black-box deliverables.
Book a sprint. Find out which Growth Intelligence metrics your data can already support—and which ones we need to build.