C3 Metrics: Independent Omni-Channel Marketing Attribution
C3 Metrics helps large advertisers and agencies measure media effectiveness independently from platform self-reporting. It is designed for organizations with complex, multi-channel spends that require auditable data for budget reallocation.
At a glance
- Category
- Marketing
- Best for
- Large advertisers with annual media budgets of $10M or more, Marketing agencies specializing in independent analytics, Enterprise companies using 6 or more marketing channels, Finance and analytics leaders requiring auditable measurement data
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Cross-Channel Budget Optimization, Signal Quality Auditing, Offline Media Attribution, Privacy-Compliant Tracking
- Integrations
- Google Campaign Manager, DV360, Meta, Adobe Campaign, Ads Data Hub
- Official website
- c3metrics.com
C3 Metrics is an independent attribution platform designed for large-scale advertisers managing spend across multiple channels. The company maintains no commercial relationships with the platforms it measures, which is intended to provide an objective view of channel contribution to conversions.
The system is built for enterprise buyers, specifically those with significant annual media budgets and internal analytics teams. It combines multi-touch attribution (MTA), marketing mix modeling (MMM), and incrementality testing into one program, supported by a managed partner model rather than a self-serve SaaS interface.
Buyers should note that the platform is geared toward complex, high-spend environments. It utilizes a proprietary data quality layer called Ground Signal to monitor for signal gaps and fraud before data reaches the modeling pipeline. Those seeking a simple, low-cost self-serve tool may find this enterprise-partner approach not aligned with their needs.
Key Features
A data quality layer that monitors, reconciles, and validates signals across channels to detect gaps and fraud before modeling.
Assigns fractional credit to touchpoints across the consumer journey using AI and a specific funnel taxonomy.
Uses statistical modeling over longer time horizons to evaluate budget efficiency, seasonality, and macroeconomic factors.
Calculates a System Contribution Score (SCS) to help determine if a channel is adding value without requiring a holdout test.
Classifies touchpoints as Originator, Roster, Assist, or Converter to assign credit based on the functional role in the journey.
Converts offline exposures, such as linear TV and direct mail, into digital signals by measuring correlated lift in branded and organic traffic.
Use Cases
Supports the reallocation of media spend by identifying under-credited upper-funnel channels and over-credited converter channels.
Using Ground Signal to verify if current measurement infrastructure is reliable before renewing contracts or agency agreements.
Integrating linear TV and direct mail into a unified attribution model to evaluate their impact on digital conversion paths.
Managing attribution for healthcare or financial services through cookie-less tagging and the absence of PII ingestion.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
C3 Metrics has no commercial ties or financial relationships with the media channels it measures, which is designed to remove incentives to over-credit specific platforms.
No, the platform uses a cookie-less architecture and does not ingest personally identifiable information (PII) at any stage of the pipeline.
It is designed for large advertisers with annual media budgets of $10M or more and active programs across six or more channels.
Source category: Marketing
Source subcategory: Analytics & Reporting
