Advanced MTA for agencies
Advanced multi-touch attribution models your agency can run in-house
Move beyond last-click, GA4 reports and platform-reported conversions with Markov, Shapley and data-driven attribution models built for technical agency workflows.
No paid production commitment is required during evaluation.
When standard attribution is not enough
- Clients ask which channels really contributed to conversions, not just which channel got the last click.
- Platform reports often disagree with each other and over-credit their own media.
- Simple rule-based attribution is easy to explain but often too weak for serious budget discussions.
- Agencies need transparent models they can run, inspect and adapt inside their own analytics workflow.
A technical attribution engine, not another dashboard
ChannelAttribution Pro gives agencies an in-house Python/R engine for advanced MTA projects. Use client journey data, conversion paths and custom signals to produce explainable channel contribution outputs.
Why agencies can evaluate it with low risk
You can test the modeling value before deciding to use it in production for client work.
Free evaluation period
Use the software for free while you evaluate it. You only need a paid production agreement when you decide to put ChannelAttribution Pro into production.
Free sample-data report
Send us a sample of your client data. We will return a free report explaining what can be measured, which models are suitable, and where the data may need improvement.
10 years in attribution
ChannelAttribution was first released more than 10 years ago. We use that experience to help agencies move from raw data to realistic attribution use cases.
What the engine supports
ChannelAttribution Pro is designed for technical agency workflows, not as another black-box dashboard.
Markov attribution
Estimate channel contribution from customer journeys and removal effects instead of relying only on static rules.
Shapley attribution
Use cooperative-game style attribution logic to compare channel contribution across paths.
Model comparison
Compare data-driven and heuristic attribution outputs to explain why the recommended model is more useful.
External features
Include additional signals where available, such as campaign attributes, time effects or other client-specific variables.
Python/R workflows
Integrate attribution modeling into existing analytics notebooks, pipelines and agency reporting processes.
Client-ready diagnostics
Use transparent outputs to support discussions on channel performance, measurement limits and next steps.
How the free sample-data report works
Send a representative sample. We review it and return a practical assessment of what can be done.
Share a sample
Send anonymized or representative journey data, channel data and conversion information.
We assess feasibility
We check whether MTA is appropriate, which fields are usable and which modeling options fit the dataset.
You receive a free report
We summarize what can be measured, what outputs are realistic and how to proceed with a test.
Best-fit agency use cases
- Agencies managing multi-channel paid media accounts
- Analytics teams replacing last-click or first-click reporting
- Client reporting where Google, Meta, CRM and analytics numbers do not align
- Technical agencies that want attribution logic inside their own workflow
Production only when value is clear
You can evaluate ChannelAttribution Pro for free, validate the outputs on your data, and involve us in reviewing the first results. A production agreement is needed only when you decide to use the software operationally for client delivery.
Try ChannelAttribution Pro