Cookieless-friendly measurement
Attribution models for agencies working with incomplete tracking data
Use first-party journeys where available, aggregated media signals and external variables to support client measurement when cookies and platform silos limit user-level attribution.
No paid production commitment is required during evaluation.
Cookieless does not mean measurement-less
- Consent gaps, browser restrictions and platform silos reduce the completeness of user-level journeys.
- Clients still need to understand which channels are contributing and where measurement is uncertain.
- Pure tracking-based attribution is harder to defend when signals are missing or fragmented.
- Agencies need methods that can combine first-party data, aggregated signals and transparent modeling.
Measure contribution when tracking is partial
ChannelAttribution Pro is not a cookieless tracking tool. It is an in-house attribution and measurement engine that helps agencies model contribution when user-level tracking is incomplete.
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.
First-party journey data
Use available customer journeys without depending on third-party cookie completeness.
Aggregated media data
Bring in spend, clicks, impressions and other channel-level signals when individual paths are incomplete.
External context
Add relevant external features such as seasonality, promotions or business events where data allows.
Privacy-aware workflow
Evaluate measurement options using representative, anonymized or aggregated data samples.
In-house execution
Keep modeling inside your agency or client-approved data environment.
Transparent limitations
Explain what can be measured, what cannot, and where uncertainty remains.
How the free sample-data report works
Send a representative sample. We review it and return a practical assessment of what can be done.
Send a privacy-safe sample
Share anonymized journeys, aggregated media signals or a simplified schema of the data available.
We review data completeness
We assess whether path-level, aggregated or combined attribution is most appropriate.
You receive a free report
The report explains possible models, likely limitations and the most practical next measurement step.
Best-fit agency use cases
- Agencies dealing with consent gaps and incomplete journeys
- Clients that want an independent view beyond platform-reported attribution
- Marketing measurement projects based on first-party and aggregated data
- Privacy-aware analytics workflows where data must remain under agency or client control
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