C3 Metrics was built around a single organizing principle: your measurement partner should have no financial relationship with the channels being measured. Everything else follows from that.
Independent by structure. No publisher relationships, no platform equity, no reason to shade results toward any channel.
Partner model, not SaaS. Expert analysts plus proprietary AI — not a tool you figure out yourself.
Accountability as a practice. We manage expectations and results — and own both.
01 — Independence
Most attribution tools are built by companies with financial stakes in the channels they measure — platforms reporting on their own performance, or measurement vendors with publisher partnerships that create subtle but real conflicts of interest. The result is attribution that tends to over-credit the channels that benefit the tool provider.
C3 Metrics has no publisher relationships, no platform equity, and no paid media business. We are paid by our clients — exclusively — to give them accurate measurement. That structural independence is what makes objectivity possible, not just a stated value.
Facebook measures Facebook. Google measures Google. Every platform has strong incentive to report its own contribution favorably — and the data to do it.
No platform equity. No publisher agreements. No financial relationship with any channel being measured. Paid exclusively by the advertiser to measure accurately.
Many "independent" measurement tools have certified partner programs, co-marketing agreements, or equity relationships with major platforms — which create soft pressure on results.
Publisher integrations exist for data access only — not for commercial partnership. No certification program creates financial dependency on the channels we measure.
C3 Metrics earns revenue from one source: client measurement programs. There is no secondary business that creates financial dependency on the performance of any channel.
Our models are built to find the truth about channel contribution, wherever it leads. If linear TV is underperforming, we'll say so. If social's self-reported numbers are inflated, we'll quantify it.
When measurement results lead to hard budget conversations — cutting a channel, challenging a publisher's reported numbers, recommending a major reallocation — we don't have a reason to soften the message.
Our models, filtering logic, and attribution methodology are documented and available for client review. We don't ask our clients to trust a black box — we explain how every number was produced.
02 — Our Philosophy
The principles below aren't marketing language. They're the operational commitments that shape how we build models, staff accounts, and communicate results. We hold ourselves accountable to them.
We tell clients what the data says — not what they want to hear. If a channel is underperforming, if the model reveals an uncomfortable reallocation opportunity, if a spend level has hit diminishing returns: we say it directly, with supporting analysis.
Transparency and candor are critical components of our offering — not just our values.
Success is measured by the gap between what we said would happen and what did. That means we're disciplined about what we commit to, and accountable when we fall short. Managing expectations is not spin — it's a responsibility we take seriously.
We are responsible for managing both expectations and results. We own our future.
Attribution data has no value sitting in a dashboard. Its value is realized when a media buyer reallocates a budget, when a CMO defunds an underperforming channel, when a brand moves dollars to where the model says they'll work harder. We build toward that outcome, not toward prettier reporting.
The quality of attribution output is directly proportional to the quality of the input pipeline. Our two-stage AI approach — cleaning data before modeling it — exists because we've seen what happens when models run on unvalidated signals. Process matters before methodology.
We don't drop a tool and walk away. Our account teams stay engaged — proactively surfacing insights, answering analyst questions, recalibrating models as markets change. The value of measurement compounds over time when there's expert human support alongside the technology.
Commitments are commitments. Delivery timelines, model updates, analyst response times, data quality standards — if we said it, we mean it. The clients who stay with C3 Metrics for years do so because that consistency has proven reliable.
Greg leads C3 Metrics' sales, marketing, services, and product development functions. He provides analytic support to clients and strategic guidance across the company's product and execution priorities. Greg joined C3 Metrics in 2019 as CEO.
03 — Leadership & Team
Greg's career is an unusually coherent arc for a measurement company CEO: strategy consulting at PricewaterhouseCoopers and Allen & Company, followed by 40 years of active advisory work through Cape Fear Advisors — developing deep expertise in automotive technology, SaaS, and data services by working with the companies that built the automotive retail technology ecosystem. That was followed by executive roles at Reynolds & Reynolds and Basho Technologies, and the chairmanship of DataSource, a platform serving distributed advertisers.
That combination — financial strategy, automotive technology depth, enterprise software operations, and advertiser-side infrastructure — directly shapes how C3 Metrics is run: as a high-integrity, results-accountable measurement partner, not a self-serve analytics product.
Dedicated account analysts providing proactive insight, ad hoc investigation, and model oversight for every program.
Engineering and ML teams maintaining the Attribution Data Cloud pipeline, model architecture, and tag infrastructure.
Deep practitioner expertise in MTA, MMM, incrementality testing, and the proprietary ORAC and BOS methodologies.
Contract CTO and engineering leadership maintaining the enterprise-grade infrastructure underlying the Attribution Data Cloud.
04 — Methodology & Credentials
C3 Metrics has invested 17 years in building measurement methods that competitors can't simply replicate. Several are proprietary to C3. One is independently accredited by the measurement industry's most rigorous certification body.
C3 Metrics tracked over 2.49 billion marketing events across top client programs in February 2026 — never dropping below 1 billion in any single month over the past 14 months, totaling more than 22 billion events tracked. At peak, that is 89 million events per day, processed through a two-stage AI pipeline with full fraud filtering. That signal density, at that continuity, is what enterprise-grade attribution infrastructure actually looks like.
Scale & InfrastructureC3 Metrics' proprietary four-position funnel classification — Originator, Roster, Assist, Converter — assigns every touchpoint a functional role in the consumer journey. This enables more precise fractional credit than position-agnostic models and surfaces channels that converter attribution systematically misses.
C3 ProprietaryC3 Metrics converts offline channel exposures — linear TV airings, direct mail drops, and others — into digital attribution signals by measuring correlated lift in Branded, Organic, and Search traffic. This allows offline channels to participate in MTA as attributed touchpoints, not statistical proxies.
C3 ProprietaryTwo sequential machine learning systems — an unsupervised model for signal quality and fraud filtering, followed by a supervised Bayesian model for consumer journey and channel interaction modeling. Industry-leading model accuracy is a direct result of this staged architecture.
C3 ProprietaryFounded in 2008 — before multi-touch attribution was mainstream, before the deprecation of third-party cookies was a concern, before "AI-powered" became a marketing phrase. C3 Metrics' methods evolved through real programs, not theoretical models. That experience is embedded in the platform.
Founded 2008C3 Metrics' tag infrastructure was built without reliance on third-party cookies — not retrofitted after their deprecation. No PII is ingested at any stage of the pipeline. Privacy compliance is structural, not a policy layer applied to a legacy system.
Privacy by Design05 — Client Programs
C3 Metrics programs have included some of the most analytically sophisticated advertisers in their respective categories — organizations with serious internal data and analytics teams who chose an independent measurement partner precisely because they understood the conflict of interest in platform self-reporting.
The caliber of the client list is a direct reflection of what the platform is built to handle: large, complex, omni-channel programs where measurement accuracy materially affects budget decisions worth tens or hundreds of millions of dollars.
National OEM programs managing national, regional, and dealer-tier attribution across digital, linear TV, and co-op media — including one of the top-selling Japanese automotive brands in the US market. C3 Metrics' leadership brings 40+ years of automotive technology strategy experience, spanning the full retail technology ecosystem from OEM to dealer.
Programs spanning global investment banking, national retail banking, and specialty insurance — including one of the largest financial institutions in the world and multiple national insurance carriers with complex multi-channel consumer and commercial programs.
Specialty pharma and biotech brands — including a globally recognized rare-disease company and a leading dermatology brand — managing DTC and HCP channel attribution across highly regulated omni-channel programs.
Full-funnel omni-channel programs for direct-to-consumer and B2B enterprise brands — including a leading corporate catering platform, a global digital content marketplace, and a major national fleet management and logistics company.
06 — Client Commitment
C3 Metrics is not a self-serve tool. It is a managed measurement program — which means our clients get expert human support alongside proprietary technology. That distinction shapes everything from how accounts are staffed to how quickly questions get answered.
Each client program is staffed with a dedicated analyst who knows the account, the channels, and the business context. Questions get answered by someone with access to your data and your model — not a generic support team.
Attribution data is only useful if it arrives in time to influence a decision. Our delivery cadence and analyst responsiveness are calibrated to match the timelines on which media buys, flights, and budget decisions are made.
We don't wait for clients to ask the right question. Our account teams proactively monitor program performance, flag anomalies, and surface reallocation opportunities — before a budget cycle forces the conversation.
Markets shift. Channels evolve. New platforms emerge. C3 Metrics models are continuously recalibrated as conditions change — so insights remain accurate over time, not just at program launch.
Measurement is an integral and necessary component of marketing. The support and opportunities we provide our clients are critical to them. We are responsible for managing both expectations and results — and we own both.
C3 Metrics operating principle — applied to every client program, regardless of size or vertical.
Companies using C3 Metrics report an average 15% or greater increase in advertising ROI, and a 6× return on their attribution investment — driven by reallocation decisions the measurement program makes possible.
07 — Who We Fit
C3 Metrics is built for complex, omni-channel advertising programs with serious measurement needs. We're direct about fit — because a program that isn't ready for full-journey measurement won't get the value the platform is capable of delivering.
We offer a customized fit assessment — bring your program details and we'll give you an honest answer about whether C3 Metrics will deliver meaningful value.
Talk to our team about your program — channels, scale, measurement maturity. We'll give you a direct, honest assessment of what C3 Metrics can do for you, and what it can't.