Turn messy data into revenue clarity.
We build the analytics and AI systems serious ecommerce brands rely on to understand revenue, not just report on it.
No junior handoffs. You work directly with a senior analytics engineer.
Built on industry-leading tools
Featured offer
Revenue Intelligence Stack
A complete analytics and AI system for ecommerce brands doing $5M–$50M+ that turns messy data into trusted revenue and instant decisions.
How we can work together
Brands that win with data focus on outcomes. Here are the three main ways we help.
1. Analytics Architecture & Roadmap
- • Deep dive into your current data stack—sources, warehouse, reporting
- • Identify what is working, what is broken, and where data is leaking
- • Target architecture and phased implementation plan tuned to your team
Start with clarity. You get a senior‑level review of your entire analytics ecosystem and a practical roadmap to a reliable, AI‑ready foundation.
2. End‑to‑End Data & Reporting
- • Connect ERPs, ecommerce platforms, and ad networks into a unified warehouse
- • Design and implement analytics engineering patterns for modeling and transformation
- • Ship dashboards tailored to growth, finance, and operations teams
We build the full analytics pipeline so your team stops wrestling with spreadsheets and starts making decisions from one source of truth.
3. Ongoing Analytics & AI Studio
- • Fractional analytics lead without a full‑time hire
- • Ongoing maintenance, enhancements, and new reporting use cases
- • Advisory and implementation for conversational and agentic AI initiatives
For teams that want a long‑term partner. We keep your data stack healthy, evolve your reporting, and layer in AI where it drives decisions.
Results that speak for themselves
Real outcomes from brands that invested in proper data infrastructure and AI.
Why MTS Analytics
10+ years building analytics for e‑commerce and beyond
I've spent over a decade designing and implementing analytics systems across multiple industries, with a deep focus on e‑commerce and DTC. From ERPs and ecommerce platforms to ad networks and warehouses, I know how to connect the dots.
Senior partner, not a bloated agency
You're not getting a rotating cast of juniors. You work directly with a senior analytics engineer and architect who has led data infrastructure through hyper‑growth, complex reporting requirements, and AI initiatives.
AI on top of a solid data foundation
Once your data is modeled correctly, AI becomes genuinely useful. We focus on high‑leverage use cases on top of your warehouse:
Conversational analytics
Ask questions in natural language and get answers backed by your warehouse.
Agentic monitoring
Agents watch for anomalies in spend, conversion, and inventory and alert the right people.
Decision support
Playbooks encoded in AI so your team can explore scenarios without an analyst.
Revenue is down 12% ($22.4k) vs last Tuesday. Key drivers:
- • Meta CPA up 34% — new creative underperforming
- • Email revenue flat — Klaviyo flow paused since Monday
- • Google stable — ROAS holding at 3.8x
Recent wins (anonymized)
Real results from brands and organizations I've helped scale with better data and AI.
Unified marketing data for a multi‑channel DTC brand
Challenge:
The brand couldn't trust their numbers—Meta, Google, and GA4 all showed different performance.
Solution:
Built a unified data pipeline connecting all sources into a single warehouse of truth.
Results:
- • Single source of truth matching actual revenue
- • Fixed waste in underperforming campaigns within weeks
- • Automated daily reporting replaced 10+ hours/week of manual work
Conversational analytics for non‑technical leadership
Challenge:
Leadership spent hours pulling reports and still couldn't answer basic questions quickly.
Solution:
Deployed a secure conversational analytics interface connected to the data warehouse.
Results:
- • 80% reduction in time spent pulling reports
- • High adoption across non‑technical teams
- • Executives get answers in minutes instead of waiting on analysts
Subscription forecasting for supply chain
Challenge:
Manual Excel models were inaccurate, leading to stockouts and overstock.
Solution:
Built automated forecasting using historical cohorts, seasonality, and churn patterns.
Results:
- • Data freshness went from monthly to daily
- • 20+ hours saved per month on manual forecasting
- • Reduced stockouts during key promotions
Modern data stack for a high‑growth organization
Challenge:
Fragmented ingestion and stale reporting blocked timely decisions and AI initiatives.
Solution:
Architected full modern data stack with automated ingestion, transformation, and conversational AI.
Results:
- • Fully automated pipeline from source to insight
- • Reporting latency reduced from days to minutes
- • Foundation for advanced predictive modeling
About MTS Analytics
I'm a data engineer and analytics consultant with 10+ years building data infrastructure and reporting for high‑growth organizations, especially in e‑commerce and DTC.
I started MTS Analytics because I saw the same patterns everywhere: fragmented data sources, conflicting metrics, and infrastructure costs that outpace value.
That's why MTS Analytics operates as a small, senior‑led data & AI studio — building systems that provide a single source of truth so you can make confident decisions.
Government & contractors
MTS Analytics is registered in SAM.gov and available for analytics and data infrastructure work with government contractors and public‑sector projects.
Frequently asked questions
Ready to get serious about your data?
If you're a growth‑stage ecommerce or DTC brand wrestling with messy data, broken reporting, or unclear ROI — let's talk.
Email MTS AnalyticsSend a short note about your brand, your current data stack, and what you wish it could do. We'll reply with next steps.