Attribution & Marketing Analytics
Understand what drives revenue with AI-powered attribution. We build attribution and analytics systems that show which marketing efforts actually drive revenue. From multi-touch attribution to incrementality testing, your team gets clarity on what to invest in and what to cut.
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What this includes
Multi-Touch Attribution
AI-powered attribution that fairly credits every touchpoint.
- - Data-driven attribution models
- - Cross-channel journey mapping
- - Offline-to-online tracking
- - Attribution window optimization
Marketing Mix Modeling
Understand the true impact of each marketing channel on revenue.
- - Channel effectiveness analysis
- - Budget allocation optimization
- - Diminishing returns modeling
- - Seasonality adjustment
Performance Dashboards
Real-time dashboards that connect marketing spend to business outcomes.
- - Revenue-linked reporting
- - Campaign performance tracking
- - Custom KPI dashboards
- - Automated report generation
USE CASES
How this is applied
Budget Reallocation
Attribution analysis that identified $2M in misallocated marketing spend and redirected it to higher-performing channels.
32% improvement in marketing ROICross-Channel Attribution
Unified attribution model across paid, organic, email, and events that replaced last-click reporting.
Accurate attribution across 15+ channelsIncrementality Testing
Controlled experiments that measure the true incremental impact of marketing campaigns.
Eliminated $500K in non-incremental spendDELIVERY MODEL
How we deliver this

Data Unification
We connect your marketing data sources and build the attribution data layer.
- ✓ Data source inventory
- ✓ Identity resolution setup
- ✓ Attribution model selection
Model & Dashboard
We build attribution models and deploy performance dashboards.
- ✓ Model implementation and calibration
- ✓ Dashboard deployment
- ✓ Team training and adoption

COMMON QUESTIONS
What teams usually ask
Need to discuss fit, governance, or deployment in more detail?
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Start with an architecture review
Every engagement is scoped as custom managed work built around your operating complexity, integration environment, and deployment priorities.
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Custom enterprise engagement
Start with an operating review focused on workflow complexity, integration constraints, governance requirements, and where AI should be deployed first.
Enterprise engagements are custom scoped after discovery and architecture review.
