Data and analytics consulting

Turn messy data into decisions you can trust.

Domain Methods helps business leaders find what’s driving growth. We find the cause, fix the right problem, and build a solution your team can use.

Built for revenue, marketing, and product teams at companies with $25M–$250M ARR.

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Trusted by teams at

Sound familiar?

You’re spending money but can’t tell what’s driving growth.
Sales, marketing, and finance are using different numbers.
A big decision is waiting on data no one trusts.
Something is broken, but no one can say what.

Problems we’ve helped solve

Real results from client engagements.

Client details are anonymized for confidentiality.

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.

300-person B2B SaaS company with a seven-figure paid media budget Attribution rebuild across ad platforms, CRM, and billing

VOG

VP of Growth

300-person B2B SaaS company with a seven-figure paid media budget

Read the attribution case study

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.

200-person mid-market SaaS team with a brittle dbt stack dbt foundation, testing, and warehouse governance reset

HOD

Head of Data

200-person mid-market SaaS team with a brittle dbt stack

Read the pipeline reliability case study

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.

Workforce management platform with sales, finance, and RevOps all reporting different revenue numbers Revenue model redesign and cross-functional metric alignment

VOR

VP of Revenue Operations

Workforce management platform with sales, finance, and RevOps all reporting different revenue numbers

Read the revenue-alignment case study

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.

PLG SaaS business with 15,000 active accounts and churn pressure on expansion revenue Reverse ETL MVP for churn-risk scoring and CRM activation

HOP

Head of Product

PLG SaaS business with 15,000 active accounts and churn pressure on expansion revenue

Read the activation case study

2-week AI readiness roadmap

SaaS Data Team + AI-Ready Data Diagnostic = Clarity Before Buying Another AI Tool

Leadership wanted AI use cases fast, but our definitions, source quality, and documentation were not ready. Domain Methods audited the stack, showed us exactly what to fix first, and gave us a practical roadmap. Instead of forcing AI onto messy data, we cleaned up the foundation and moved with confidence.

Healthcare analytics company under pressure to show AI value without breaking reporting trust AI-Ready Data Diagnostic and two-week foundation roadmap

VOD

VP of Data

Healthcare analytics company under pressure to show AI value without breaking reporting trust

Read the AI readiness guide

Built on tools you already know

Senior experts, hands-on from day one

I stay close to every engagement from start to finish. Our team brings senior expertise across data, analytics, revenue, and operations. The people advising you should also be the people doing the work.

Jason B. Hart Founder & Principal Consultant

Read Jason's perspective

Questions we often hear

How do we know where to start?

You don’t need to know the solution before you contact us. Start with the business problem. We’ll help identify the cause and the right next step.

What problems are a good fit?

Growth is hard to explain. Teams are using different numbers. Reporting isn’t trusted. A big decision depends on better information.

Do we need an internal data team?

No. We can work with your data team, business teams, or directly with leadership. The right setup depends on the problem.

What does an engagement look like?

We start with a focused problem and a defined scope. If more work is needed, we expand based on what we find.

Do we need to grant system access before the first call?

No. Screenshots and exports are enough to start. Deeper access comes later and remains client-controlled and scoped to the work.