Your Marketing Team Deserves an Analyst Who Never Sleeps,
Never Queues, and Never Guesses
I build a custom AI data analyst — trained on the specific quirks of your company's data — so your team can get answers to any marketing question in seconds, not days.
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13 years of data experience at
The Data Problems Every Marketing Leader Knows Too Well
You wait days for a simple answer
You need to know which campaign is driving the best CPL this week. Your data team is backlogged. By the time you get the answer, the moment has passed.
Your data lives in 10 different places
Paid ads in one platform, CRM in another, email in a third. Nobody has a single view of what's actually working. Every report is a manual reconciliation project.
Dashboards show 'what' but never 'why'
You can see that CPA rose 30% this month. But the dashboard can't tell you why — or what to do about it. You're left guessing.
You can't confidently defend your ROI
Every platform over-claims credit. Marketing, finance, and the CRM all show different numbers. You walk into board meetings hoping nobody asks the hard questions.
Generic AI tools don't understand your data
You've tried connecting ChatGPT or Copilot to your database. It gives you technically valid SQL that produces completely wrong answers — because it doesn't know what your field names actually mean.
Budget decisions are still based on gut feel
Without fast, reliable data, you default to intuition. You know competitors with better analytics infrastructure are making smarter bets — and pulling ahead.
of marketing leaders can't confidently defend their ROI methodology
per week spent on manual data collection — 36% of the workweek
of marketers are unsatisfied with how often they get data support
platforms the average team uses with no unified view
Why Generic AI Tools Fail — And What I Do Differently
Any AI can connect to a database. The problem is that your database is full of cryptic field names, undocumented join logic, and quirks that only your team knows about. Without that context, the AI produces answers that are technically valid but analytically wrong.
Deep Data Documentation
I work directly with your data team to document every relevant field, how tables join together, known quirks, and the business logic behind the numbers. This is the foundation that makes everything else work.
Custom AI Training
I build and train an AI analyst on your company's specific data context — so when a marketing director asks a question, the AI understands what the data actually means, not just what it says.
Self-Correcting System
Every answer includes the data, a chart or table (exportable to Google Sheets), and the SQL query used. If something is wrong, users leave feedback — and the AI remembers it permanently, never repeating the same mistake.
What Your Team Gets
This Is Built For You If…
This IS for you
- You lead a marketing team at a mid-to-large company with real data in a database
- You're frustrated by how long it takes to get answers to data questions
- You've tried generic BI tools or AI tools and found they don't understand your specific data
- You want your team to make faster, more confident decisions without bottlenecking the data team
- You're open to a custom-built, properly trained solution — not a plug-and-play shortcut
✕ This is NOT for you
- You're a small team without structured data in a database
- You're looking for a cheap, automated, no-touch solution
- You're not willing to invest time upfront to document your data properly
- You need something built and deployed in 48 hours
Chris Shupe
Data Analyst · 13 Years Experience
I've spent 13 years as a data analyst working inside some of the world's most data-intensive organizations. I've seen firsthand how marketing teams drown in data but starve for answers. This service is the direct result of that experience — and I've already built it for the Dasher marketing team at DoorDash.
Common Questions
Generic AI tools produce answers that are technically valid SQL but analytically wrong — because they don't know what your field names actually mean, how your tables relate, or the quirks in your data. The entire value of this service is in the upfront work: documenting your data context so the AI truly understands your data, not just its structure.
We start with a discovery call to understand your data environment and the questions your team most needs answered. Then I work with your data team to document the relevant fields, joins, and business logic. I build and test the AI analyst against real questions, iterate until the answers are reliable, and then hand it off to your team with training and documentation.
Every answer includes the SQL query used to pull the data, so your team can verify the logic. There's also a built-in feedback field on every answer. If the AI gets something wrong, a user leaves a note — and the system permanently remembers that correction. It will never make the same mistake twice.
Data is dynamic — new fields get added, business logic changes, tables get restructured. That's why ongoing support is part of the service. As your data evolves, I update the AI's training so it stays accurate. A system that was right at launch will drift into inaccuracy without this maintenance.
Not necessarily. Many clients prefer to work with a read-only replica or a data warehouse. We'll discuss the right setup for your security requirements on the discovery call.
It depends on the complexity of your data environment and how many question types you need covered. A focused initial build typically takes several weeks. We'll scope it together on the discovery call.
Pricing is scoped on a per-project basis, depending on the complexity of your data and the scope of the build. The best way to get a number is to book a discovery call so we can understand your specific situation.
Your team is making decisions right now
without the data they need.
Book a free 30-minute discovery call. We'll look at your data environment, your team's biggest questions, and whether this is the right fit.
No pitch. No pressure. Just a conversation about your data.