Turn Messy Marketing Data into Decisions that Drive Revenue
Your data should be driving decisions — but conflicting metrics, broken pipelines, and tools nobody trusts are getting in the way. We fix that.
- Marketing analytics and attribution you can defend
- Trusted data foundations your team actually uses
- AI-powered activation that moves the needle
For mid-size SaaS and ecommerce teams ($10M+ ARR or venture-funded).
What We Do
Stop Guessing Which Channels Drive Revenue
For the VP of Growth who can’t prove ROAS to the board — and the RevOps team tired of defending numbers that don’t match.
- Marketing analytics and attribution
- Revenue operations metrics
- Cross-channel performance analytics
- Ad spend optimization
Your Dashboards Are Lying. Fix the Foundation.
For data leaders who need more than a SQL jockey — you need a partner who understands why the data matters, not just how to query it.
- Data strategy and architecture
- Pipeline development
- dbt implementation
- Data governance
Data Sitting in Your Warehouse Isn’t Working
For product and growth teams tired of rich data gathering dust. We ship activation workflows — reverse ETL, scoring, automated audiences — that prove value in weeks, not quarters.
- Reverse ETL implementation
- AI-powered predictions and scoring
- Warehouse-as-CDP solutions
- Automated activation workflows
Not sure where to start?
Begin with an auditBuilt on tools you already know
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.
Trusted by data-driven teams
60% → 95% attribution coverage
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.
Sarah Lindgren
VP of Growth, Relay Analytics
99%+ pipeline uptime
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.
David Okonkwo
Head of Data, Bridgepoint SaaS
5 dashboards → 1 source of truth
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.
Rachel Marin
VP of Revenue Operations, Clearpath
18% churn reduction in 3 weeks
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.
James Kessler
Head of Product, Canopy Growth
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.