Your Ad Platforms
Are Lying to You.
I build unified data infrastructure for DTC subscription brands — so you can see true profitability, not platform-reported vanity metrics.
Built for brands spending
Interactive demo with synthetic data — scroll to explore
You're spending six figures a month on ads. None of your tools talk to each other.
Meta says one thing. Google says another. Shopify shows a third number. Your CFO is asking for a single source of truth, and you're stitching together spreadsheets at midnight trying to answer questions that should take seconds.
Five questions you can't answer right now:
What is our true, blended customer acquisition cost across all channels?
Which creative is actually driving profitable first orders — not just clicks?
What does our contribution margin look like after COGS, shipping, returns, and ad spend?
Which cohorts are churning fastest, and what did they have in common at acquisition?
If we cut TikTok spend by 40% tomorrow, what actually happens to revenue?
Your Meta dashboard says 3.5x ROAS.
The real number is closer to 1.7x.
Every platform takes credit for conversions that would have happened anyway. They double-count across channels. They ignore returns, COGS, and shipping. The gap between what they report and what actually hits your bank account is where six-figure mistakes get made.
$720,000
per year in misallocated ad budget
20%
Avg. ROAS discrepancy
$300K
Monthly ad spend
$60K
Wasted per month
Every platform inflates its numbers. When you're spending $300K/month and your ROAS is off by 20%, that's $60K in budget going to the wrong channels, the wrong creatives, the wrong audiences. Every single month. The longer you wait, the more you burn.
Stop the Bleeding — Book a CallOne unified system. Every data source. Every answer.
I connect your ad platforms, Shopify, subscription tools, email, and support data into a single warehouse — then build the dashboards, automations, and AI layer on top. You get a permanent piece of infrastructure, not a monthly retainer.
Your data sources → Fivetran (automated sync) → BigQuery (warehouse) → Dashboards, Slack, AI
Executive Dashboards
Real-time views for leadership, media buyers, and finance — each seeing exactly what they need. True ROAS, contribution margin, cohort health, creative performance.
Slack Automation
Daily briefings, anomaly alerts, and weekly summaries delivered to the right channel. No one has to remember to check a dashboard.
AI Query Layer
Ask your data questions in plain English. "What's our CAC by channel this month?" Get an answer in seconds, with the SQL to verify it.
Built on your accounts. Zero lock-in.
Everything lives in your BigQuery, your Fivetran, your Looker Studio. If we part ways, you keep 100% of the infrastructure. No proprietary tools, no hostage data.
Ask your data anything. Get answers in seconds.
No SQL. No analyst. No waiting. Type a question in plain English and get the answer with the data, the chart, and the query behind it. Your entire team can self-serve.
What is our CAC by channel?
Explore the dashboards. Powered by synthetic data.
This is a working demo built on a synthetic dataset modeled after a $5M/month DTC subscription brand. The data patterns — churn curves, ROAS discrepancies, creative fatigue — are all realistic. Interact with it.
Monthly Revenue
$485K
+0.0% vs prev
Active Subscribers
9,723
645 new this month
Blended CAC
$587
All channels
Churn Rate
1.3%
Monthly
Monthly Revenue Trend
Platform-Reported vs True ROAS
The gap between what platforms claim and what actually happened
- Platform ROAS
- True ROAS
Insight: Meta is overstating ROAS by ~22%. On $5,200/day spend, that's roughly $1,924/day in phantom revenue.
All data is synthetic. Patterns mirror real DTC subscription brand performance.
Ask your data anything. In plain English.
Type a question. Get the SQL, the data, the chart, and a plain-language summary. No analyst required. Try it with the synthetic dataset powering this demo.
Try asking:
Ask a question or click an example above
Demo queries run against the synthetic dataset. In production, this connects to your live BigQuery warehouse.
Every build is custom. Here's what to expect.
Your stack is different from every other brand's. So your build will be scoped to your specific data sources, team structure, and decision-making needs. These tiers are starting points — your proposal will be tailored to you after the discovery call.
| Full-Time Hire | Agency Retainer | Substrate Data | |
|---|---|---|---|
| Annual cost | $130K–$170K | $96K–$180K | $5K–$20K once |
| Time to first output | 2-3 months | 4-6 weeks | 2-3 weeks |
| You own the infrastructure | Yes | No | Yes |
| DTC-specific data models | Unlikely | Generic | Built-in |
| Ongoing cost after build | Salary + benefits | $8K-$15K/mo | $600-$2K/mo tooling |
| Lock-in | Employment | 3-6 mo contract | Zero |
Substrate: Foundation
$15,000+ value · scoped to your stack
Core data infrastructure — connect your sources, build the warehouse, get your first real dashboards. The starting point for brands who need a single source of truth.
Best for: Brands doing $100K-$200K/mo in ad spend who need a single source of truth before scaling further.
Substrate: Analytics
$35,000+ value · scoped to your stack
Full analytics suite — everything in Foundation plus role-specific dashboards, cohort analysis, and Slack automation. The most common build.
Best for: Brands doing $200K-$400K/mo who need their entire team making decisions from the same data.
Substrate: Intelligence
$55,000+ value · scoped to your stack
The full build — everything in Analytics plus AI query layer, automated reporting, and creative intelligence. For brands that want the complete system.
Best for: Brands doing $400K+/mo who want AI-powered decision support and full automation.
Don't see exactly what you need? Every proposal is custom. Book a call and I'll scope a build that fits your brand, your tools, and your budget.
Common Add-ons
Your risk is zero. Mine is everything.
Deliverables Guarantee
Every deliverable is scoped and documented before we start. If I don't deliver what's in the scope document, I'll keep working at no additional cost until it's done.
Data Accuracy Guarantee
Your dashboards will match your source systems within a 2% margin. If we find a discrepancy, I fix it — no matter when you discover it within the first 90 days.
Post-Delivery Support
30-60 days of included support depending on your tier. Questions, adjustments, and minor iterations are covered. You won't be left alone with a system you don't understand.
Zero Lock-In
Everything is built on your accounts — your BigQuery, your Fivetran, your Looker Studio. If we part ways, you keep 100% of the infrastructure. No proprietary tools. No hostage data.
Common questions.
Book Your Free Discovery Call
30 minutes. No pitch deck. I'll ask about your current stack, your pain points, and your goals — then tell you honestly whether this is a fit.
Audit your current data stack
Identify the highest-impact gaps
Get a custom scope & timeline
Free. 30 minutes. No obligation.