See your revenue clearly. Decide in minutes.
Revenue Intelligence Stack turns messy, conflicting ecommerce data into one trusted view of revenue—and instant answers to what's happening and why.
Built for ecommerce brands doing $5M–$50M+ who are done guessing and ready to make confident decisions from numbers they actually trust.
No junior handoffs. You work directly with a senior analytics engineer and architect.
You can't grow what you don't understand.
Most ecommerce operators are flying blind:
- Meta, Google Ads, GA4, and Shopify all show different revenue.
- Finance has one number, marketing has another—and nobody trusts the dashboards.
- You don't know which channels are actually driving profit, not just top-line revenue.
- Simple questions like "Why is revenue down today?" turn into Slack threads, exports, and guesswork.
- You wait days for an analyst to pull a report and still end up arguing about definitions.
It's not a dashboard problem. It's a revenue intelligence problem.
Is this for you?
Revenue Intelligence Stack is built for:
- Ecommerce and DTC brands doing $5M–$50M+ in annual revenue
- Teams that are tired of conflicting numbers across platforms
- Operators who want instant answers, not week-long report requests
- Brands serious about understanding attribution and unit economics
This probably isn't the right fit if:
- You're pre-revenue or under $1M — the investment won't pay back yet
- You need a one-off dashboard with no ongoing data strategy
- You're looking for the cheapest option rather than the right one
We take on a limited number of Revenue Intelligence engagements per quarter to ensure senior-level attention on every project.
Solution
Revenue Intelligence Stack
A complete ecommerce analytics and AI system that gives you one source of truth for revenue, clean metrics everyone agrees on, and instant answers to the questions you ask every day.
What it includes
- BigQuery data warehouse built for ecommerce
- dbt transformation layer encoding your revenue logic
- Rill real-time dashboards for operators and leaders
- Attribution modeling across channels and campaigns
- Clean, standardized revenue and customer definitions
- Conversational AI interface in Slack or a simple UI
What you get
- One trusted revenue number across teams
- Clear attribution—new vs returning, channel, campaign, creative
- Real-time visibility into performance and unit economics
- Instant answers to "what changed?" without waiting on analysts
From messy data → trusted revenue → instant decisions.
How Revenue Intelligence Stack works
A clear, repeatable process to go from "our numbers don't match" to "we know exactly what's driving revenue today."
1. Centralize your data
We connect your ecommerce platform, ad channels, analytics tools, and key systems into a BigQuery warehouse designed for ecommerce revenue analysis.
2. Standardize revenue logic
We define and implement your revenue and customer definitions in dbt so everyone uses the same logic for revenue, returns, discounts, and new vs returning customers.
3. Visualize performance
We deploy Rill dashboards that give operators and leaders a fast, reliable view of revenue, performance, and unit economics—updated continuously.
4. Ask questions, get answers
On top of the stack, we add conversational AI so you can ask questions in Slack or a simple UI and get answers backed by your warehouse, not another black-box platform.
What this looks like in practice
Results from brands that implemented the Revenue Intelligence Stack.
We went from arguing about whose numbers were right to having one dashboard everyone trusts. The Revenue Intelligence Stack paid for itself within the first month when we identified and cut unprofitable spend.
VP of Growth
Vice President, DTC Brand, $30M+/yr
Our leadership team used to wait days for answers. Now they ask questions in Slack and get instant, accurate responses backed by our warehouse. Adoption across non-technical teams was immediate.
Head of Operations
Operations Lead, Multi-Channel Ecommerce
The attribution clarity alone was worth it. We finally know which campaigns are driving actual profit, not just top-line revenue. We reallocated budget into high-ROAS campaigns within 30 days.
Marketing Director
Director of Marketing, National DTC Brand
MTS Analytics built us a full modern data stack in weeks, not quarters. The conversational AI layer means our team gets answers in minutes instead of filing tickets. Reporting latency went from days to real-time.
Chief Revenue Officer
CRO, High-Growth Ecommerce
What you actually get
1. Data infrastructure that doesn't crumble at month-end
BigQuery warehouse, ingestion from your platforms, and dbt models that encode your revenue logic, customer definitions, and key metrics.
Outcome: one reliable source of truth for revenue, not five slightly different versions.
2. Attribution models you can defend in a board meeting
Channel, campaign, and creative performance beyond last-click. New vs returning revenue attribution and cohort views by source and offer.
Outcome: you know which spend is actually working—and what to cut without guessing.
3. Dashboards built for operators, not data tourists
Real-time Rill dashboards for daily performance. Views for growth, finance, and operations that focus on the metrics that matter.
Outcome: leadership and operators use the same numbers, in the same place, every day.
4. AI interface for instant revenue intelligence
Slack or web UI connected directly to your warehouse. Natural language questions mapped to structured queries with alerts when something breaks pattern.
Outcome: instead of waiting days for a custom report, you get answers in seconds— grounded in data you already trust.
Not another dashboard project.
- Revenue-first, not tool-first. We start with what counts as revenue for your business and work backwards into the stack.
- Built specifically for ecommerce. We live in the world of channels, cohorts, LTV, POAS, and payback—not generic SaaS metrics.
- Depth in data engineering and revenue ops. You work with someone who has owned full analytics stacks for a national DTC brand, not a generalist freelancer.
- AI as a layer, not a gimmick. The AI interface sits on a clean, governed data foundation, so answers are reliable.
- Designed for decision-makers. The goal isn't more charts—it's faster, calmer, more confident decisions.
- High-touch, low-BS engagement. No bloated team, no endless workshops. Focused implementation that respects your time.
Designed for serious ecommerce brands
Revenue Intelligence Stack is a premium engagement for brands that are serious about understanding and growing their revenue. Typical projects range from $10k–$40k+, depending on scope and complexity.
Brands that implement Revenue Intelligence Stack typically identify unprofitable ad spend within 30 days and establish reporting that saves 10+ hours per week. The system pays for itself.
Foundation
Revenue clarity
- Warehouse setup and core integrations
- Standardized revenue and customer definitions
- Core performance dashboards
Attribution
Revenue confidence
- Everything in Foundation
- Multi-channel attribution models
- Cohort and LTV analysis by source and offer
Revenue Intelligence
AI layer
- Everything in Attribution
- Conversational AI interface
- Alerting and anomaly detection on key revenue metrics
What happens next
- Send a short note about your brand and current data stack.
- We reply within 24 hours with initial thoughts.
- 30-minute strategy call to assess fit and scope.
If you're spending serious money on growth, your data should be at least as sophisticated as your ad strategy.
Stop guessing. Start understanding your revenue.
If you're running a serious ecommerce brand and you're still arguing about whose numbers are right, it's time for a different approach. Revenue Intelligence Stack gives you one source of truth, clear attribution, and instant answers when something changes.
Book a Revenue Intelligence Demo