Four layers of the same work. You enter at the top, with the outcome you are accountable for, and everything above rests on the layer beneath it. How much of it you buy, and how you buy it, follows from what you need rather than from which product we happen to sell.
Layer 01 — Strategy
This is where most engagements start, because it is the only layer a chief executive or a finance team asks about directly. What moves, where it goes, how much, and what it is expected to return. Everything below exists to make this answerable.
Findings arrive as specific moves, sized in dollars and ranked against the objectives you set, in a form that holds up with a CFO and with the people who have to execute it. A recommendation nobody can act on is not a finding, it is a report.
See the engagements →Layer 02 — Analytics
Definitions and calculations get built channel by channel and tested, because a television CPA and a digital CPA measure different things. Treating them as one number manufactures precision that is not there.
What compares across channels is participation toward the same outcome. The outcome is the common denominator, not the cost metric. Getting those definitions right is the work that a platform cannot do for you and a dashboard cannot do by itself.
How engagements are scoped →Layer 03 — Modeling
The objective picks the method, rather than the method deciding what you are allowed to ask. C3's MTA carries much of what a mix model does and a good deal more, which makes it the default where the question is outcomes.
Mix modeling covers the longer horizons and the channels without individual-level data. Incrementality validates both, continuously through In-Mix Incrementality™ and episodically through holdout where a high-stakes question warrants it. All three run on the same signal foundation, so divergence between them traces to data quality rather than to modeling disagreement.
Explore the platform →Layer 04 — Data
Collection and verification belong together, because every layer above inherits whatever feeds it. You may already have attribution in place, or an agency may run measurement on your behalf. Either way there is a set of questions that usually goes unanswered: whether tags fire correctly across all channels, whether server-side coverage is what the platform says it is, and what you tell a CFO when the numbers do not reconcile.
Ground Signal™ is the independent signal quality audit that answers them: an external, documented verification of your current measurement infrastructure. It does not require replacing what you have. It tells you whether what you have is working, and it stands alone or sits underneath a full program.
See Ground Signal™ →How it is bought
A project is scoped, delivered and finished. It is sized by what the spend is made of rather than how large it is: roughly $4 million a year across digital, search, social, programmatic and CTV gives the analysis plenty to work with, while the same amount in linear television gives it very little, because the signal is not there to read.
A program is different in kind. It stands up as its own entity inside the measurement system and carries a standing monthly cost in compute and management, so it is sized against total spend, with around $10 million in annual media the point where it pays for itself comfortably. Below that the arithmetic gets tight, and we will say so.
Who commissions it
And the client may be an advertiser, an agency or a publisher. A party that commissions the work is a client rather than a measured channel, and where the two could overlap we say so at the outset. We will work with an agency, a publisher or another third party where the arrangement makes sense, and structure it accordingly: run for the agency, or for the agency on a client's behalf, with findings shared or held as the agreement sets out.
Every engagement opens with a review of existing relationships, and anything that could be seen to bear on our position or our findings is disclosed before the work starts. Beyond the fee for that engagement there are no other incentives: no commissions, no revenue share, and no part of the fee depends on what the measurement finds. Engagements are isolated from one another, and data moves between them only with express permission.
An agency that brings in independent measurement is making a statement no other agency makes: confident enough in what the media produced to have it verified by a party with no stake in the outcome. That is a different conversation with a client, and a durable competitive position.
"In every portfolio operating review I've been part of, marketing spend is the one cost line that has never been independently measured. When you apply the same discipline you'd apply to procurement, independent measurement with no stake in the outcome, you get findings in dollars that nobody else in the arrangement could have produced. That's what C3 Metrics makes possible."
— Greg Collins, Founder, Cape Fear Advisors · Managing Director, C3 Metrics
Cape Fear Advisors (capefearadvisors.com) is C3 Metrics' sister firm, led by the same principal. It provides structural analysis and operating advisory to private equity and management teams, and frames the Portfolio Marketing Audit, a PE operating discipline that brings marketing measurement into the playbook alongside procurement review and financial controls. C3 Metrics produces the measurement. The two firms are not independent of each other and are not presented as such. The distinction is in the work: strategy and industry structure at Cape Fear, marketing and advertising analytics at C3. The relationship is disclosed in every engagement where it applies.
Vertical Expertise
Automotive, Financial Services, Healthcare, D2C, and Advisory — each with specific measurement challenges that require more than a generic platform. C3 Metrics brings proven program experience and vertical-specific methodology to every engagement.
National, regional, and dealer-tier advertising. Co-op program management. Linear TV alongside digital. No other vertical requires this many simultaneous measurement layers — and C3 Metrics is the only attribution partner with the automotive technology depth to handle all of them.
Automotive advertising is structurally more complex than any other consumer vertical. A single OEM program runs simultaneously at national brand, regional association, and individual dealer tiers — each with different budgets, different channels, different co-op rules, and different conversion definitions. Linear TV remains one of the largest budget line items. And the consumer journey from first exposure to purchase can span weeks or months across dozens of touchpoints.
National/regional/dealer tiers measured separately — no unified view of cross-tier consumer journeys
Single attribution model spanning all tiers — consumer journeys tracked across national brand, regional, and dealer touchpoints in one unified pipeline
Linear TV is the biggest spend line — but most platforms exclude it or treat it as an MMM proxy
BOS signal detection converts TV airings into MTA-eligible attributed touchpoints — TV participates in the model at the same fidelity as digital
Long consumer journeys — often 60–90+ days from first ad exposure to purchase — challenge standard attribution windows
ORAC taxonomy captures Originator touchpoints weeks before conversion — model windows calibrated to actual automotive purchase cycles
Co-op program complexity: dealer spend data, manufacturer contribution tracking, compliance reporting
Media spend reconciliation and co-op data ingestion built into the collection layer — co-op attribution is a program output, not an afterthought
C3 Metrics' Managing Director brings 40 years of active automotive technology strategy experience — working with the companies that built the retail technology infrastructure from OEM to dealer: DMS providers, data services platforms, digital advertising networks, and co-op management systems. That ecosystem depth is embedded in how C3 approaches automotive measurement programs. We don't learn your industry on your budget.
C3 Metrics' active automotive program runs one of the top 10 US auto brands by annual sales volume — handling national OEM, regional association, and dealer-tier attribution in a single unified model. It is the measurement approach trusted by the measurement-first agencies managing those programs.
National brand, regional associations, and dealer co-op programs measured within a single attribution environment — consumer journeys traced across all tiers without seams or gaps.
BOS converts TV spot airings into digital attribution signals by measuring lift in branded search and downstream digital activity — TV gets real MTA credit, not an MMM approximation.
ORAC funnel taxonomy and extended attribution windows calibrated to automotive purchase timelines — the channels that originate consideration weeks before purchase get credit alongside closing channels.
Attribution models segmented by vehicle model, conquest vs. loyalty, and new vs. returning buyer — so budget allocation decisions are made at the level of actual business objectives.
Dealer co-op contribution data and manufacturer match funds ingested and reconciled at the collection layer — compliance reporting and attribution outputs produced from the same data pipeline.
Model year launches, sales events, and competitive activity modeled as inputs — so attribution reflects true media contribution, not calendar-driven correlation.
"The analytics are genuinely outstanding — and so is the thinking that comes with them. This is a team that brings real perspective, not just a platform."
— Analytics Director, National Automotive OEM, three-year program
Financial services advertisers operate under compliance requirements, competitive sensitivity, and internal audit standards that most measurement platforms aren't built to accommodate. C3 Metrics brings structural data isolation and methodology transparency that meets enterprise compliance expectations — while delivering the channel-level attribution that drives media efficiency.
Financial services advertisers face a measurement problem that compounds on itself: products are complex, compliance requirements are real, competitive sensitivity is high, and the consumer journey from awareness to account opening or policy purchase can span months. Add multi-line business complexity — retail banking, mortgage, wealth, insurance — and the attribution problem becomes genuinely difficult. Most platforms weren't designed for it.
Compliance requirements around data handling and methodology documentation create friction with standard attribution tools
No PII at any pipeline layer. Full methodology documentation available for internal audit and compliance review. Data isolation guaranteed by architecture.
Multi-product programs — retail banking, mortgage, wealth management, insurance — each with different conversion types and different channel mixes
Distinct Bayesian scoring per conversion type — product line attribution runs simultaneously within one model, each with independently calibrated channel weights.
Long consideration cycles — particularly for mortgage, wealth, and commercial products — where originator channels go uncredited by converter models
ORAC Originator and Roster positions capture the channels that build consideration weeks or months before conversion — brand and upper-funnel channels get their true credit.
Competitive sensitivity — attribution data cannot be exposed to other clients, including other financial institutions
Fully isolated data environments by architecture — not policy. A bank's attribution data is structurally inaccessible to any other client program, including other FS clients.
C3 Metrics has run attribution programs spanning the full spectrum of US financial services — including two of the five largest US commercial banks by assets, Fortune 500 insurers, and national investment management firms. These are organizations with serious internal analytics scrutiny and compliance requirements that most measurement vendors cannot satisfy. The methodology documentation and data isolation architecture held up to that scrutiny consistently.
No PII ingested. No third-party cookies. Full methodology documentation. Data isolation by architecture, not policy — built to satisfy internal audit, not to check a compliance box.
Retail banking, mortgage, wealth management, and insurance products attributed simultaneously within one model — each conversion type scored independently with calibrated channel weights.
ORAC attribution windows built for the actual length of financial product consideration — mortgage and wealth journeys that play out over months are modeled accurately, not cut off at a 30-day window.
Acquisition and retention programs attributed separately — the channels that drive new account opening are modeled differently from those driving cross-sell and product expansion.
Platform self-reported metrics for financial products are particularly prone to over-attribution. Incrementality testing provides lift validation of social channel contribution, independent of platform reporting.
Every attribution number has a documented methodology behind it. For financial services advertisers whose internal teams will scrutinize results, explainability is not optional — it is a program requirement C3 meets by design.
"We're grateful we chose C3 Metrics. The capabilities and account management are unlike anything we'd have gotten from the alternatives — we would have been lost without both."
— Senior Marketing Leader, National Insurance Carrier, three-year program
Pharmaceutical and healthcare advertising operates under a unique combination of regulatory constraints, dual-audience complexity (consumer DTC and healthcare provider HCP), and heightened data sensitivity. C3 Metrics brings the privacy architecture and channel sophistication to measure across both audiences — accurately, compliantly, and without the conflicts of interest that make platform self-reporting particularly dangerous in regulated categories.
Healthcare and pharmaceutical advertisers face a measurement environment that most platforms weren't designed for: simultaneously running DTC consumer campaigns and HCP professional outreach across different channels, under different compliance frameworks, with fundamentally different conversion definitions. Add the sensitivity around health data and the natural suspicion of any measurement system that also has commercial relationships with media platforms, and the independence requirement becomes non-negotiable.
DTC and HCP audiences require separate measurement — different channels, different conversion events, different attribution logic
Distinct attribution models per audience type — DTC consumer journeys and HCP professional touchpoints modeled separately with conversion-specific Bayesian scoring for each.
Regulatory sensitivity makes any data handling that could expose health-adjacent signals unacceptable
No PII ingested at any layer. Cookie-less architecture. Data isolation guaranteed by structure, not policy. C3 Metrics' pipeline was not built with health data handling in mind — it was built without it by design.
Long patient and HCP decision journeys — condition awareness to prescription intent can span months of touchpoints
ORAC Originator and Roster positions capture the disease awareness and education touchpoints that precede conversion consideration — channels that build patient and provider journeys get attributed credit.
Platform self-reporting particularly problematic — overstatement of social contribution creates real downstream harm in pharma budget decisions
Independent measurement with no platform relationships. Incrementality testing available as validation layer for social channels — behavioral evidence of contribution, not platform-reported proxy metrics.
C3 Metrics' pharmaceutical programs have included a top-10 global pharmaceutical company, a blockbuster therapy exceeding $2 billion in annual product sales, and a leading global specialty dermatology company. Across all of them, the rationale for choosing independent measurement is the same: in a regulated category where platform over-reporting carries real risk to media planning and budget defense, measuring with a tool that has commercial relationships with the channels being evaluated is structurally untenable.
Consumer and healthcare provider journeys modeled independently within one program — separate channel weights, separate conversion definitions, separate Bayesian scoring — unified in reporting.
No PII. No cookies. No health-adjacent data ingested at any stage. Cookie-less tag architecture and server-to-server integrations that don't touch sensitive data by design.
ORAC Originator and Roster positions capture unbranded disease awareness and condition education content — the touchpoints that build patient journeys before brand consideration even begins.
Incrementality testing provides lift validation of social contribution — essential in a regulated category where platform over-reporting carries real risk in media planning and budget defense.
Full-journey measurement from awareness campaign launch through prescription intent signal — calibrated to the unique timeline of pharmaceutical product launches, where early channel decisions have long-term consequence.
C3 Metrics has no commercial relationships with media platforms or publisher networks. In a category where measurement accuracy can affect drug access and patient outcomes, that independence is a structural requirement, not a differentiating feature.
"The savings we've identified through this program are irreplaceable."
— VP Marketing, Global Pharmaceutical Advertiser
D2C and eCommerce advertisers are often the most data-sophisticated buyers in any measurement conversation. They've lived through the failure of converter attribution, the limitations of platform-reported ROAS, and the opacity of algorithmic bidding. C3 Metrics is built for advertisers who already know the standard tools don't work — and need something that actually does.
D2C brands and eCommerce advertisers typically spend on a wide mix of channels — paid search, social, affiliate, email, display, OTT, podcast — and are often the first to notice when attribution numbers don't add up. The standard failures are familiar: converter over-credits search, social platforms claim more than they delivered, retargeting takes credit for conversions that would have happened anyway. C3 Metrics is built for the advertisers who've already tried fixing this with simpler tools and know it requires a different approach.
Paid search and branded search take converter credit for conversions driven by upper-funnel channels — making the real performers invisible
Navigational and branded search passthrough logic in Stage 2 modeling — search gets credit for what it actually contributed, not for catching consumers who were already converting.
Retargeting campaigns consume budget and claim attribution for conversions they didn't cause — making incremental contribution impossible to assess
Retargeting and ad dumping identification built into Stage 2 collinearity algorithms — retargeting credit is calibrated to actual incremental contribution, not converter recency.
Social platforms report their own ROAS — with obvious incentives to inflate, and no independent validation
Independent MTA attribution plus incrementality testing for social channels — two independent views of what social actually contributed, neither of which comes from the platforms themselves.
New customer acquisition and repeat purchase require different channel strategies — but most attribution models don't separate them
New vs. returning buyer segmentation runs as separate attribution models — acquisition channels and retention channels are measured against the right objective, not averaged together.
C3 Metrics D2C programs span high-frequency purchase categories, subscription commerce, and marketplace platforms — organizations with the analytical sophistication to recognize that converter attribution and platform self-reporting were actively misleading their media allocation decisions. These programs came to C3 Metrics to measure what platforms won't measure for them.
Collinearity logic prevents branded and navigational search from taking converter credit for conversions driven by upper-funnel channels — search gets credit proportional to what it actually contributed.
Ad dumping detection identifies retargeting conversions that would have occurred organically — separating the genuine incremental lift from budget spent capturing already-converting consumers.
Acquisition and retention programs run as separate attribution models — the channel mix that drives first purchase is modeled against acquisition KPIs, repeat purchase against retention KPIs. No averaging across fundamentally different consumer behaviors.
Incrementality testing provides lift validation of social contribution — independent of platform-reported ROAS. Two views of social performance: MTA attribution and incrementality results. Neither comes from the platform.
Real-time MTA for in-flight optimization alongside MMM for quarterly budget planning — each methodology calibrates the other, providing both the tactical and strategic views in one integrated program.
ORAC Originator and Roster credit surfaces the display, OTT, podcast, and awareness channels that build intent before a consumer ever searches — making the full-funnel investment case visible and defensible.
"Five-plus years in, and the relationship has only gotten stronger. The collaboration, dedication, and professionalism — from day one, and every day since."
— CMO, National D2C Advertiser, five-year program
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Every vertical has its measurement complexity. Bring us your channels, your tiers, your compliance requirements, your channel mix — and we'll give you a direct, specific view of what C3 Metrics can deliver for your program.