Category

Marketing Analytics Service Providers

For companies that can't tell which marketing spend is driving revenue, these providers build the measurement, attribution and reporting that answers that question.

21 businesses

Data Analytics Services

Vienna, Virginia, United States

We’re a digital technology company delivering innovative, high-quality, new-age, and affordable technology solutions. We work…

5.0

Express Analytics

Irvine, California, United States

We empower businesses to thrive in the data-driven era. As a leader in data management and marketing analytics, we deliver…

5.0

Orchard

Cincinnati, Ohio, United States

Orchard is a boutique agency, helping businesses grow through performance-driven marketing and website experiences that fuse the…

5.0

Packed Data Services

Los Angeles, California, United States

Packeddata AI is an AI-powered B2B data platform built to solve a simple but persistent problem: Most databases look good on…

5.0 1 reviews

InfoTrust

Cincinnati, Ohio, United States

Infotrust unlocks the power of data to enhance marketing performance and drive growth. At the intersection of digital analytics…

4.9 Subscription

TV Advertising

Minneapolis, Minnesota, United States

Marketing architects is an all-inclusive tv agency that rebuilt the traditional agency model to help brands drive profitable…

4.2

Adveronix

San Francisco, California, United States

We are analytics, development and consultation company. We provide marketing, development, analytics and reporting service.

Unrated

AlphaConverge

Las Vegas, Nevada, United States

Cdo is alphaconverge's flagship publication that seeks to provide leading-edge thought leadership from both internal and external…

Unrated

Analytic Owl

Bernardsville, New Jersey, United States

We all know instinctively that radio and tv advertising are effective, but today's advertisers want proof. Analyticowl pioneered…

Unrated

Cartesian DataSciences

Dallas, Texas, United States

Cartesian puts data to use in a marketing context, helping 70 global brands to improve revenues and margins, getting better use…

Unrated

DataPartners

Fort Myers, Florida, United States

Datapartners is a full-service data firm dedicated to designing and crafting complete data solutions for the savvy marketer. We…

Unrated

Focus Optimal

Framingham, Massachusetts, United States

Focus optimal is a successful decision support provider specializing in rapid delivery of business insights to senior managers…

Unrated

Hivewyre

Tempe, Arizona, United States

Hivewyre is a forward-thinking programmatic advertising company. Their private data cooperative allows advertisers to share…

Unrated

Management Science Associates

Pittsburgh, Pennsylvania, United States

Management science associates, inc. Is a diversified information management company that for over five decades has given market…

Unrated

Marketing Mix Modeling & ROI

Norwalk, Connecticut, United States

Ipsos mma is committed to enabling our clients to achieve significant brand and marketplace advantages by synergistically…

Unrated

Market Theory

Dallas, Texas, United States

Simply put, market theory is an analytics agency that helps support and grow businesses. Market theory undertakes analytic…

Unrated

Mu Sigma

Northbrook, Illinois, United States

Mu sigma builds decisions. Not decks. Not buzzwords. Decisions. We treat math as the engine that powers them, and curiosity as…

Unrated

Search Optics

Ferndale, Michigan, United States

Search optics is now catalyst iq. Catalyst iq accelerates sales by delivering real-time insights, the intelligence to act on…

Unrated

Sito Mobile

Jersey City, New Jersey, United States

Through consumer behavior and location sciences™️, sito develops customized, data-driven solutions for brands spanning strategic…

Unrated

Targetbase

Irving, Texas, United States

Targetbase is a precision marketing agency obsessed with performance-our clients’ and our own. For more than 4 decades, we’ve…

Unrated

These are the firms and consultancies hired to work out what your marketing is actually doing. In practice that means building marketing mix models, running attribution analysis, wiring up dashboards that pull data out of ad platforms, CRM systems and sales records, and then telling you, in plain terms, which channels and campaigns are generating revenue and which are just spending it. The output is usually a model or a reporting layer, plus a set of recommendations on where to shift budget, and often ongoing support to keep the numbers current as channels and tracking change.

People end up looking for this when the marketing reporting they already have stops being trustworthy. Spend is spread across search, social, email, affiliates and offline, each platform reports its own numbers, and those numbers rarely add up to a coherent picture of what's working. Finance and marketing disagree about return on ad spend. iOS tracking changes or cookie restrictions have broken attribution that used to be reliable. A CFO or CEO asks a straightforward question — should we spend more or less here — and nobody in the building can answer it with data they trust. Often there's plenty of data sitting in various systems, just nothing connecting it.

Providers solve this in a few distinct ways, and the differences matter when picking one. Marketing mix modelling uses statistical analysis of historical spend and sales to estimate channel effect without needing user-level tracking, which suits companies wary of privacy-dependent methods, but it's retrospective and needs a reasonable amount of history to work well. Multi-touch attribution works at a more granular, near real-time level but depends on clean tracking data, which is exactly what's getting harder to collect. Incrementality testing, using geo or audience holdouts, answers causation directly through experiments rather than models, at the cost of time and coordination. Beyond methodology, compare providers on whether they build custom models or resell a platform, whether they do the data engineering to connect your systems or expect clean data handed to them, whether the relationship is a one-off project or continuous measurement, and whether they've worked in your industry before — retail, SaaS and financial services all have different data quirks that show up fast in a bad model.

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