Marketing Data & Analytics for SaaS & Ecommerce
Turn messy data into decisions that drive revenue
You know your data should be driving decisions — but conflicting metrics, broken pipelines, and tools nobody trusts are getting in the way. We help growth, product, data, and RevOps teams at mid-size SaaS and ecommerce companies ($10M+ ARR or venture-funded) build trusted analytics and AI-powered workflows they can actually rely on.
Know What is Driving Revenue
For growth and RevOps teams tired of conflicting metrics and unclear attribution.
- Marketing analytics and attribution
- Revenue operations metrics
- Cross-channel performance analytics
- Ad spend optimization
Build a Trusted Data Foundation
For data and RevOps leaders who need a single source of truth they can rely on.
- Data strategy and architecture
- Pipeline development
- dbt implementation
- Data governance
Turn Data Into Action
For product and growth teams ready to activate their data warehouse with AI-powered workflows and automation.
- Reverse ETL implementation
- AI-powered predictions and scoring
- Warehouse-as-CDP solutions
- Automated activation workflows
Who We Help
We work with specific roles facing specific problems. Find your situation below.
Growth & Marketing Leaders
VP/Director of Growth
"Need predictable ROAS and clear attribution"
Revenue AnalyticsData Leaders
Head of Data
"Need a partner who understands business context, not just SQL"
Data FoundationRevenue Operations
VP/Director of RevOps
"Need one source of truth that finance and marketing both trust"
Revenue AnalyticsProduct & Growth (PLG)
Head of Product/Analytics
"Need fast, MVP-driven wins that reduce churn"
Data ActivationNot sure where to start? Begin with an audit
Most teams I talk to have the same problem: they don't know who to trust and what to do next with the budget they have. I help mid-size SaaS and ecommerce companies cut through that uncertainty — build analytics they can trust and data systems they can actually use. If your team is drowning in dashboards nobody believes, let's talk. I share practical takes on marketing data, attribution, and analytics engineering on LinkedIn — follow along.
Obsessed with truth and UX
We translate messy business data into usable insight that powers decisive, measurable outcomes.
80/20 Focus
We focus on the 20% of work that delivers 80% of the value. No over-engineering.
No Consultant Dependency
We build systems your team can own and maintain. Then we get out of the way.
Project-Based Pricing
Fixed scope, fixed price. No hourly billing, no surprises.
Fast to Start
Senior practitioners from day one. No ramp-up period, no junior staff learning on your dime.
Just a Call Away
Senior practitioners who pick up the phone. No ticket queues, no layers of account management.
Trusted by data-driven teams
B2B SaaS + Attribution Rebuild = One Number Marketing and Finance Both Trust
We were spending six figures a month on ads with no way to tell which channels were actually driving pipeline. Domain Methods rebuilt our attribution model from the ground up — unified data from ad platforms, CRM, and billing into one trusted pipeline. We went from defending numbers in every board meeting to making budget allocation decisions in hours.
VP of Growth
B2B SaaS, 300 employees
Mid-Market SaaS + dbt Foundation = Pipeline Reliability Nobody Has to Think About
Most consultants could write SQL but couldn’t explain why it mattered to the business. Domain Methods built a dbt foundation with real governance — tested models, clear documentation, and automated quality checks. Our team went from constant firefighting to barely thinking about pipeline reliability.
Head of Data
Mid-Market SaaS, 200 employees
B2B SaaS + Flexible Data Model = CRO and CFO Looking at the Same Metrics
We had five dashboards showing five different revenue numbers. Domain Methods didn’t just pick one — they built a flexible data model that adapts as our business changes. For the first time, our CRO and CFO look at the same metrics. That alignment alone was worth the engagement.
VP of Revenue Operations
B2B SaaS, 400 employees
PLG SaaS + Reverse ETL MVP = Churn Reduction in Three Weeks
I didn’t want a six-month roadmap — I wanted to prove that our warehouse data could reduce churn this quarter. Domain Methods shipped a reverse ETL workflow in three weeks that synced churn-risk scores to our CRM and triggered automated outreach. It moved the needle immediately. That MVP approach is exactly what PLG teams need.
Head of Product
PLG SaaS, 150 employees
Practical data insights, monthly
One email per month with actionable takes on attribution, data foundations, and AI-powered activation — drawn from real client work. No fluff, no spam.