Pipelines, retail-native models, and AI answers grounded in data you own — customer, marketing, revenue, and assortment. Shipped in weeks, for a fraction of an in-house team.
Works with Shopify, WooCommerce, Tiendanube, Amazon, and your ERP.
Sound familiar?
Four ways DTC brands get stuck.
All of them fixable.
The data's there. The infrastructure to reach it clean, fast, and reliably isn't. By the time you think you have an answer, the decision's already been made.
Three roles minimum. And the first hire often quits before the second one ramps.
AI is only as good as what it's reading. On messy data it answers with total confidence — but can you trust it? On a governed, documented stack, you get “Here's exactly why.”
Native analytics shows revenue. It doesn't model churn risk, margin by SKU, or LTV by acquisition channel.
There's a better way to use what you already have.
3 hires to cover the stack
$300k+ fully loaded
6+ months to recruit & ramp
No retail domain expertise
6+ weeks of discovery
Strategy decks, not dashboards
Junior staff, constant handoffs
Generic, not retail-native
Dashboards, not answers
Their metrics, not yours
Data locked in their platform
You still do the analysis
Ships week 1
Senior team, full stack
Built for commerce brands
A fraction of the cost
And everything we build lives in your warehouse. You own it — if we disappear tomorrow, it keeps running.
You give us access to your data sources. We assess your current state and tell you exactly what to build first.
Full data stack audit
Tool recommendations
Prioritized build plan
AI-readiness assessment
Pipelines, models, dashboards — built and documented from day one, in a warehouse you own. Then we connect AI directly to it: your team asks in plain English, and every answer comes from governed, documented data. No SQL, no hallucinated numbers.
Data pipelines across all sources
Propensity & cross-sell models
Production dashboards
Marketing & revenue analytics
This isn't a one-time project. We manage your analytics as your business evolves — new questions, new data sources, new models.
Anomaly detection & alerting
New data sources as you grow
Dashboards that evolve with your business
Fractional analytics team, always on
No inflated case-study numbers. Our proof is the work itself — models built and run inside global DTC brands, now built for yours.
Retail-native
We've built attribution models, LTV prediction, and financial reconciliation pipelines inside global DTC brands. We know DTC economics from the inside.
Fractional, not freelance
Dedicated hours each week. Same team, every time. The person on the call is the person building your pipeline.
Enterprise analytics, startup speed
Propensity models, demand forecasting, GMROI analysis — shipped in weeks, not quarters.
Multi-touch attribution models
Predictive LTV & churn scoring
Financial reconciliation pipelines
GMROI & assortment analysis
Demand forecasting
We'll ask about your data problems, show you what we'd build first, and tell you honestly — on that first call — if we're the right team for it.
Ongoing partnerships from $1,000/month · No long-term contracts