Domain Methods Case Studies
See how we helped teams solve reporting, revenue, attribution, and data problems.
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Start with the issue that best matches your situation.
Spend and attribution When marketing, finance, and leadership offer different answers about what drives revenue.
B2B SaaS: from conflicting dashboards to one trusted attribution pipeline
A 300-person SaaS growth team stopped arguing over five dashboards and started reallocating spend within the same week.
Read case studyMid-market SaaS: closing the attribution gap from 60% to 95%
A leadership team got board-grade coverage instead of another quarter of channel guesswork.
Read case studyRevenue numbers and definitions When sales, marketing, finance, and RevOps cannot agree on the revenue number or its definition.
B2B SaaS: AI lead scoring increased sales efficiency 40%
Product-qualified signals became a sales handoff that reps could trust because the scoring rules, CRM routing, and follow-up workflow were made explicit.
Read case studyB2B SaaS: from conflicting dashboards to one trusted attribution pipeline
Marketing, finance, and leadership moved from competing reports to one spend-to-revenue view they could use in operating decisions.
Read case studyData trust and reliability When the warehouse and dashboards exist, but the numbers are still disputed or unreliable.
Fintech startup: 12 data sources unified into one trusted warehouse
Board-deck prep dropped from two days to twenty minutes once the warehouse and metric definitions finally matched reality.
Read case studyMid-market SaaS: from pipeline firefighting to 99%+ uptime
A data team stopped spending every week on break-fix work and got back to analysis that leadership could use.
Read case studyB2B platform: legacy ETL to modern cloud warehouse in 8 weeks
A migration succeeded because the business logic and operating constraints were carried over instead of hand-waved away.
Read case studyB2B SaaS: predictive PQL scoring, proven with a holdout
A model became useful because the handoff, measurement readout, and operating rules were explicit enough for sales to act on.
Read case studyAI readiness and workflow risk When leaders want AI-supported workflows but the data, ownership, or process is not yet ready.
B2B SaaS: AI lead scoring increased sales efficiency 40%
A scoring model became usable because the routing logic, CRM handoff, and sales follow-up rules were made explicit before the team asked reps to trust it.
Read case studyPLG SaaS: churn-risk activation shipped into HubSpot in 3 weeks
A warehouse signal became a daily workflow only after the team defined which accounts to act on, when to suppress action, and how to watch the outcome.
Read case studyFintech startup: 12 scattered sources unified before leadership reporting
The foundation work showed why AI-ready systems still need boring source precedence, identity, and definition work before the output is trusted.
Read case studyData activation and workflow handoffs When useful data exists, but it is not reaching the team that needs to act on it.
PLG SaaS: reverse ETL workflow shipped in 3 weeks, 18% directional churn reduction
A churn model stopped living in a dashboard and started driving daily action in HubSpot.
Read case studyB2B SaaS: AI lead scoring increased sales efficiency 40%
Product and CRM signals turned into a practical prioritization workflow instead of another scoring experiment nobody used.
Read case studyEcommerce SaaS: warehouse-as-CDP replaced a $120K/year vendor tool
The team moved from expensive tooling dependence to warehouse-native activation with more control.
Read case studyEcommerce margin clarity When revenue looks healthy, but acquisition costs, returns, fulfillment, or margin tell a different story.
DTC ecommerce: cut wasted ad spend 35% with true channel-level ROAS
A brand stopped trusting platform-reported wins and started reallocating budget based on real downstream outcomes.
Read case studyEcommerce SaaS: warehouse-as-CDP replaced a $120K/year vendor tool
A warehouse-native operating model created more flexibility once customer and channel data were finally usable together.
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See the full collection below.
DTC Ecommerce: Cut Wasted Ad Spend 35% with True Channel-Level ROAS
Channel economics confidence
How a venture-backed DTC brand spending $120K/month on ads unified attribution across Meta, Google, and TikTok — and cut blended CAC by over a third.
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Mid-Market SaaS: Metric Certification and 99%+ Pipeline Uptime
Metric certification and reliability
How a 200-person SaaS data team turned broken churn logic and fragile pipelines into certified, owner-backed metrics with 99%+ reliability.
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Mid-Market SaaS: Closing the Attribution Gap from 60% to 95%
Board-grade attribution coverage
How a mid-market SaaS company closed the attribution gap from 60% to 95% spend-to-revenue coverage — and earned board-level trust.
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B2B Platform: Informatica to Fivetran, BigQuery, and dbt in 8 Weeks
Warehouse migration with tested logic
How a B2B platform replaced Informatica with Fivetran, BigQuery, and dbt while preserving business logic and adding data quality tests.
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B2B SaaS: From Conflicting Dashboards to a Single Source of Truth
Spend-to-revenue trust
How a 300-person B2B SaaS team replaced five conflicting dashboards with one trusted attribution pipeline for faster budget decisions.
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PLG SaaS: Reverse ETL Workflow Shipped in 3 Weeks, 18% Directional Churn Reduction
Activation workflow measurement
How a PLG SaaS team activated warehouse churn-risk scores in 3 weeks and saw an 18% directional churn reduction in one quarter.
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Fintech Startup: 12 Data Sources Unified Into One Trusted Warehouse in 6 Weeks
Source-of-truth repair
How a Series A fintech startup consolidated data from 12 SaaS tools into BigQuery and dbt, replacing spreadsheet chaos with trusted reporting.
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Ecommerce SaaS: Warehouse-as-CDP Replaced a $120K/Year Vendor Tool
Warehouse-native activation
How a mid-market ecommerce SaaS replaced an expensive CDP with a warehouse-native reverse ETL approach, cutting costs 80% and gaining flexibility.
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B2B SaaS: Predictive PQL Scoring, Proven With a Holdout
Predictive GTM models with lift proof
How a PLG B2B SaaS company used predictive PQL scoring, CRM handoffs, and holdout discipline to prioritize trial accounts and increase qualified pipeline 40%.
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