# Measured | Media Effectiveness Platform > Markdown mirror of DialtoneApp's public top-site detail page for `measured.com`. URL: https://dialtoneapp.com/top-sites/measured.com/index.md Canonical HTML: https://dialtoneapp.com/top-sites/measured.com ## Summary - Domain: `measured.com` - Website: https://measured.com - Description: ai readable | score 16 | purchase read only - Label: ai_readable - Payment surface: Not available - Purchase boundary: read_only - Control boundary: unknown - Rank: 579174 ## robots ~~~text User-agent: Googlebot Disallow: /nogooglebot/ User-agent: * Allow: /llms.txt Allow: / Sitemap: https://www.measured.com/sitemap_index.xml ~~~ ## llms ~~~text # Measured > Measured proves marketing's financial impact on business outcomes. It provides marketing and > finance leaders with a unified view of media performance across online and offline channels, > so teams can invest with precision and expect accountability. Measured combines incrementality > testing, media mix modeling (MMM), and integrations with over 300 media platforms and data > partners, accessed through our platform to deliver comprehensive media measurement and > optimization for sustainable growth. > Measured is the trusted solution that businesses like VF Corporation, Vuori, Paramount, McAfee, > Intuit, and Unilever use to measure and optimize $Billions in media spend. ## Core Platform & Products - [Incrementality Testing](https://www.measured.com/incrementality-testing/): Automated geo-matched market holdout tests that measure the true causal lift of each media channel. Launch tests in <10% of markets with 4–6 week windows — no additional budget required. - [Media Mix Modeling (MMM)](https://www.measured.com/media-mix-modeling/): Causal MMM continuously calibrated by real incrementality test results. Delivers diminishing return curves, scenario planning, and weekly refreshes across digital, TV, and offline channels. - [Incrementality Platform Overview](https://www.measured.com/incrementality-platform-overview/): How Measured combines testing, modeling, optimization, and benchmarking into one unified measurement system. - [Cross-Channel Dashboard](https://www.measured.com/cross-channel-dashboard/): Unified view of media performance across all channels using triangulated measurement — experiments + MMM + platform data. - [Media Plan Optimizer](https://www.measured.com/media-plan-optimizer/): AI-powered budget allocation tool that recommends optimal spend levels by channel to maximize incremental revenue. Runs "what-if" simulations and forward-looking forecasts. - [Benchmarks](https://www.measured.com/benchmarks/): Incrementality benchmarks drawn from thousands of experiments across 200+ brands. Compare your channel-level iROAS against industry and category norms. - [Integrations](https://www.measured.com/integrations/): 100+ automated connectors to ad platforms, analytics tools, CRMs, and data warehouses including Meta, Google, TikTok, Amazon, and Shopify. ## FAQ Pages — Media Mix Modeling (MMM) - [Top 10 Best Media Mix Modeling Companies & Software (2026)](https://www.measured.com/faq/top-10-best-media-mix-modeling-companies-software-for-2026/) Comparison of leading MMM platforms: Measured, Nielsen, Analytic Partners, Ipsos MMA, Kantar, and others. Includes ratings, methodology, setup times, and use cases. - [What Is Marketing / Media Mix Modeling (MMM)?](https://www.measured.com/faq/what-is-marketing-media-mix-modeling-mmm/) Foundational definition of MMM: how it works, data inputs, model outputs, and what it's used for in marketing planning. - [Marketing Mix Modeling: 2025 Complete Guide for Strategic Marketers](https://www.measured.com/faq/marketing-mix-modeling-2025-complete-guide-for-strategic-marketers/) Covers diminishing return curves, budget decisioning, scenario planning, and modern MMM software evaluation. - [Media Mix Modeling: What Is It and Which Types Are Best?](https://www.measured.com/faq/media-mix-modeling-what-is-it-and-which-types-are-best/) Overview of media mix strategies and model types with brand examples. - [The Difference Between Traditional and Causal Media Mix Modeling](https://www.measured.com/faq/the-difference-between-traditional-and-causal-media-mix-modeling/) Why correlation-based MMM fails and how causal calibration via incrementality testing fixes it. - [Media Mix Modeling: Diminishing Return Curves & Budget Decisioning](https://www.measured.com/faq/media-mix-modeling-diminishing-return-curves-mmm-budget-decisioning/) How MMM identifies saturation points and drives spend reallocation decisions. - [8 Benefits of Media Mix Modeling](https://www.measured.com/faq/eight-8-benefits-of-media-mix-modeling-mmm/) Strategic and operational benefits of MMM for marketing leaders. - [MMM for Advanced Marketers](https://www.measured.com/faq/media-mix-modeling-for-advanced-marketers/) How incrementality testing is redefining MMM for sophisticated marketing teams. - [Real-Life MMM Examples & True Incrementality](https://www.measured.com/faq/real-life-media-mix-modeling-mmm-examples-true-incrementality/) Case-based walkthroughs of MMM in practice across channels and verticals. - [Modern MMM Software: What to Look for in 2026](https://www.measured.com/faq/modern-marketing-mix-modeling-software-what-to-look-for-in-2026/) Vendor evaluation framework for choosing an MMM platform. - [MMM Software: Build vs. Buy](https://www.measured.com/faq/marketing-mix-modeling-software-build-vs-buy/) Tradeoffs between building in-house MMM vs. purchasing a platform like Measured. - [How to Make a Business Case for MMM with Finance & Leadership](https://www.measured.com/faq/how-to-make-a-business-case-for-media-mix-modeling-with-finance-ai/) Framework for getting CFO and finance buy-in for MMM investment. - [MMM Data Requirements Checklist: Minimum Viable Dataset](https://www.measured.com/faq/mmm-data-requirements-checklist-minimum-viable-dataset/) Practical checklist for what data you need for MMM and what to do if you don't have 3 years of history. ## FAQ Pages — Incrementality Testing - [What Is Incrementality Testing?](https://www.measured.com/faq/what-is-incrementality-testing/) Complete definition of incrementality testing: methodology, how to calculate lift, benefits, and how it differs from attribution. - [What Is Incrementality in Marketing?](https://www.measured.com/faq/what-is-incrementality-in-marketing/) Plain-language explanation of incrementality: why it matters and how it differs from correlation-based attribution. - [Holdout Test](https://www.measured.com/faq/holdout-test/) Explains holdout test design, execution principles, and how to interpret results. - [How to Run Geo Testing for Marketers: A Step-by-Step Guide](https://www.measured.com/faq/how-to-run-geo-testing-for-marketers-a-step-by-step-guide/) Step-by-step methodology for designing, running, and analyzing geo-matched market incrementality tests. - [What's the Difference Between A/B Testing and Incrementality Testing?](https://www.measured.com/faq/whats-the-difference-between-a-b-testing-and-incrementality-testing/) Compares experiment types: audience splits, geo holdouts, and when to use each. - [Best Incrementality Testing Companies & Software (2026)](https://www.measured.com/faq/best-incrementality-testing-companies-software-for-marketing-2026/) Ranked comparison of incrementality testing platforms for 2026. - [Best Incrementality Testing Companies & Software (2025)](https://www.measured.com/faq/best-incrementality-testing-companies-software-for-marketing-2025/) Historical comparison list for 2025 reference. - [Can I Measure Incrementality on Facebook?](https://www.measured.com/faq/can-i-measure-incrementality-on-facebook/) How to run incrementality tests on Meta/Facebook and why platform-native tests are insufficient. - [How Do I Measure Incrementality on Display Advertising?](https://www.measured.com/faq/how-do-i-measure-incrementality-on-display-advertising/) Methods for isolating causal lift from display campaigns. - [Optimizing Direct Mail: Testing & Measuring Incrementality](https://www.measured.com/faq/optimizing-direct-mail-testing-measuring-incrementality/) How to apply incrementality testing to offline direct mail channels. - [Incrementality vs. DR: What's the Difference?](https://www.measured.com/faq/incrementality-dr-whats-the-difference/) Distinguishes direct response (DR) metrics from incrementality measurement. - [Incremental Lift Analysis: A Practical Guide to Lift, iROAS & Confidence Intervals](https://www.measured.com/faq/incremental-lift-analysis-practical-guide-lift-iroas-confidence-intervals/) Deep statistical guide covering lift calculation, iROAS, confidence intervals, and test interpretation for advanced practitioners. ## FAQ Pages — Attribution vs. Incrementality vs. MMM - [Pros and Cons of Incrementality Testing vs. MMM vs. MTA](https://www.measured.com/faq/what-are-the-pros-and-cons-of-incrementality-testing-versus-mmm-or-mta/) Detailed method comparison across incrementality testing, Media Mix Modeling, and Multi-Touch Attribution with use-case recommendations. - [Ad Measurement: The Complete 2026 Guide](https://www.measured.com/faq/ad-measurement-the-complete-2026-guide-to-accurate-actionable-marketing-analytics/) Comprehensive overview of the modern ad measurement landscape, key methods, and how to choose between them. - [Attribution vs. Incrementality](https://www.measured.com/faq/attribution-vs-incrementality/) Core distinction between attribution (who gets credit) and incrementality (what actually caused the outcome). - [Meta Platform Attribution: Pros, Cons & Limitations](https://www.measured.com/faq/meta-platform-attribution-pros-cons-limitations/) Why Meta's self-reported attribution overstates performance and how incrementality testing corrects for it. - [Google Platform Attribution: Pros, Cons & Why You Need More](https://www.measured.com/faq/google-platform-attribution-pros-cons-and-why-you-need-more/) Limitations of Google's attribution and the case for unbiased, cross-channel measurement. - [What Is Multi-Touch Attribution (MTA)?](https://www.measured.com/faq/what-is-multi-touch-attribution-mta/) Definition of MTA, how it works, and why it falls short in a privacy-first world. - [Cross-Channel Platform Attribution: Why Is It Difficult?](https://www.measured.com/faq/cross-channel-platform-attribution-why-is-it-difficult/) Technical and methodological challenges of unified cross-channel attribution. - [An Introductory Guide to Marketing Attribution](https://www.measured.com/faq/an-introductory-guide-to-marketing-attribution-understanding-what-drives-results/) Foundational explainer for marketers new to attribution and measurement. - [What Is Marketing Attribution Software?](https://www.measured.com/faq/what-is-marketing-attribution-software/) Overview of attribution software categories and evaluation considerations. - [Why Measured Is Better Than GA4 / Google Analytics](https://www.measured.com/faq/why-measured-better-than-ga4-google-analytics/) Why GA4 is insufficient for media effectiveness measurement and what causal measurement adds. - [Why Google Analytics Is a Poor Judge of Ad Effectiveness](https://www.measured.com/faq/why-google-analytics-is-a-poor-judge-of-ad-effectiveness/) Specific limitations of GA4 for proving ROI and making budget decisions. ## FAQ Pages — Triangulated Measurement - [A Simple Guide to Understanding Triangulated Measurement](https://www.measured.com/faq/a-simple-guide-to-understanding-triangulated-measurement/) How Measured combines incrementality experiments, MMM, and platform data into one integrated, validated framework. - [What Is Triangulation in Marketing?](https://www.measured.com/faq/what-is-triangulation-in-marketing/) Explains the triangulation framework and why no single measurement method is sufficient alone. ## FAQ Pages — Media Planning & Budgeting - [Media Planning and Buying: The Ultimate Guide for Marketers](https://www.measured.com/faq/media-planning-and-buying-the-ultimate-guide-for-marketers/) Comprehensive guide to media planning, buying workflows, channel selection, and measurement integration. - [How to Create and Manage a Media Budget](https://www.measured.com/faq/how-to-create-and-manage-a-media-budget/) Framework for budget creation, management, and reallocation based on incremental performance data. - [Optimizing Media Spend: Strategies and Insights](https://www.measured.com/faq/optimizing-media-spend/) Channel optimization and allocation strategies grounded in incrementality data. - [What Is Digital Media Optimization and How to Use It?](https://www.measured.com/faq/what-is-digital-media-optimization-and-how-to-use-it/) Defines digital media optimization and explains how measurement drives better allocation. - [How Is Marketing ROI Calculated?](https://www.measured.com/faq/how-is-marketing-roi-calculated/) Methods for calculating marketing ROI, with a focus on incremental ROI (iROAS) vs. platform-reported ROAS. ## FAQ Pages — Brand & Campaign Strategy - [Guide for Creating a Brand Campaign](https://www.measured.com/faq/guide-for-creating-a-brand-campaign/) Framework for building brand campaigns, measuring brand lift, and integrating brand with performance measurement. ## FAQ Pages — Measurement Challenges - [What Are the Challenges of Measuring Marketing Effectiveness?](https://www.measured.com/faq/what-are-the-challenges-of-measuring-marketing-effectiveness/) Common measurement pitfalls: attribution bias, privacy signal loss, cross-channel complexity, and lag times. - [What Is a Design of Experiments (DOE) in Marketing?](https://www.measured.com/faq/what-is-a-design-of-experiments-doe-with-respect-to-marketing/) Experimental design principles applied to marketing measurement and incrementality testing. - [Marketing Analytics: Data-Driven Success in Modern Marketing](https://www.measured.com/faq/marketing-analytics-data-driven-success-in-modern-marketing/) Overview of marketing analytics stack and how measurement tools fit together. - [Marketing Measurement Tools: The Ultimate Guide](https://www.measured.com/faq/marketing-measurement-tools-the-ultimate-guide-to-smarter-data-driven-decisions/) Comprehensive guide to evaluating and selecting marketing measurement tools. - [The Benefits of Data-Driven Marketing](https://www.measured.com/faq/the-benefits-of-data-driven-marketing-for-marketers/) Why data-driven measurement improves decisions, budget efficiency, and accountability. - [Marketing Taxonomy for Paid Media: A Framework for Success](https://www.measured.com/faq/marketing-taxonomy-for-paid-media-a-framework-for-success/) How consistent naming conventions and taxonomy improve measurement quality and reporting. ## Blog — High-Value Posts - [Causal Marketing: The Future of Data-Driven Decision Making](https://www.measured.com/blog/causal-marketing-the-future-of-data-driven-decision-making/) Why causal inference is replacing correlation-based marketing analytics. - [What Do You Know About Geo?](https://www.measured.com/blog/what-do-you-know-about-geo/) Primer on geo testing methodology and when to use it. - [What Marketers Need to Know About Apple's iOS Updates](https://www.measured.com/blog/what-marketers-need-to-know-about-apples-ios-updates/) Impact of iOS privacy changes on attribution and why incrementality testing is the privacy-safe alternative. - [Why Pinterest Might Deserve a Bigger Piece of Your Social Budget](https://www.measured.com/blog/why-pinterest-might-deserve-a-bigger-piece-of-your-social-budget/) Channel-specific incrementality findings for Pinterest. - [Synthetic Controls Aren't Enough: Why Geo Testing Requires Representation](https://www.measured.com/blog/synthetic-controls-arent-enough-why-geo-testing-requires-representation/) Technical deep dive into geo test design quality and market selection methodology. - [Avinash Kaushik: 3 Insights on Data Puking, Last-Click & Incrementality](https://www.measured.com/blog/avinash-kaushik-3-insights-on-data-puking-last-click-and-incrementality/) Industry expert perspective on why last-click attribution fails and what to do instead. - [Optimize Your Ad Spend with Marketing Mix Modeling](https://www.measured.com/blog/optimize-your-ad-spend-with-marketing-mix-modeling/) Beginner's guide to MMM: adstock, diminishing returns, privacy considerations, and use cases. - [Modernizing MMM: Key Considerations for Choosing a Partner](https://www.measured.com/blog/modernizing-mmm-key-considerations-for-choosing-a-partner/) Vendor evaluation framework: speed, causality, automation, and methodology. - [Achieving the Gold Standard in Marketing Measurement](https://www.measured.com/blog/achieving-the-gold-standard-in-marketing-measurement/) How Bayesian MMM calibrated by incrementality tests creates the most accurate measurement system available. - [ANA Finds $26.8B in Programmatic Waste](https://www.measured.com/blog/ana-finds-26-8b-in-programmatic-waste-what-marketers-can-do-now/) Industry research on media waste and how incrementality testing identifies and eliminates it. - [The Dangers of Multi-Touch Attribution](https://www.measured.com/blog/the-dangers-of-multi-touch-attribution/) Why MTA produces systematically biased results and overstates channel performance. - [The Pros and Cons of Running Incrementality Testing In-House](https://www.measured.com/blog/the-pro-and-cons-of-running-incrementality-testing-in-house/) Build vs. buy decision framework for incrementality testing infrastructure. - [Measured's 2026 Predictions: Transformations, Trends & What Matters](https://www.measured.com/blog/measureds-2026-predictions-transformations-trends-and-what-marketers-need-to-know/) Annual outlook on marketing measurement trends and priorities for 2026. - [Fixing the Funnel with Incrementality Measurement & Optimization](https://www.measured.com/blog/fixing-the-funnel-with-incrementality-measurement-optimization/) How to apply incrementality across the full marketing funnel. - [Why Traditional Media Mix Modeling Falls Short](https://www.measured.com/blog/why-traditional-media-mix-modeling-falls-short/) Limitations of legacy, correlation-only MMM and the case for causal calibration. - [Marketers Ditch Last-Click for MMM](https://www.measured.com/blog/marketers-ditch-last-click-for-mmm/) Industry trend report on the shift from last-click attribution to MMM + incrementality. - [Hitchhiker's Guide to Using Experimentation with MMM](https://www.measured.com/blog/hitchhikers-guide-to-using-experimentation-with-mmm-triangulation/) Practical framework for combining incrementality tests with MMM for triangulated measurement. - [The 4 Steps of Traditional MMM](https://www.measured.com/blog/the-4-steps-of-traditional-mmm/) Technical walkthrough of data collection, model design, calculation, and output analysis in MMM. ## Guides & Research Reports - [The Essential Incrementality Playbook](https://www.measured.com/guide-research/the-essential-incrementality-playbook/) Step-by-step playbook for implementing an incrementality measurement program from scratch. - [The Future of Media Mix Modeling](https://www.measured.com/guide-research/the-future-of-media-mix-modeling/) Strategic guide: how incrementality testing is redefining MMM for modern marketers in a privacy-first world. - [The CMO's Guide to Causal Media Mix Modeling](https://www.measured.com/guide-research/cmo-guide-causal-media-mix-modeling/) 90-day action plan for moving from zero to causally grounded insights: Days 1–30: Audit measurement, launch geo tests on 1–2 priority channels. Days 31–60: Calibrate MMM with test results, establish weekly refresh cycles. Days 61–90: Expand testing, integrate platform data, create CFO-ready Boardroom Pack. - [Is CTV the Overlooked Channel of 2025?](https://www.measured.com/guide-research/report-is-ctv-the-overlooked-channel-of-2025/) Research report on CTV incrementality performance vs. platform-reported ROAS. - [Incrementality Measurement for Marketers Guide (PDF)](https://info.measured.com/hubfs/Incrementality%20Measurement%20for%20Marketers%20Guide.pdf) Downloadable guide to incrementality measurement fundamentals and implementation. ## Video Resources - [What You Should Know About MMM Triangulation](https://www.measured.com/video/what-you-should-know-about-media-mix-modeling-triangulation/) Video explainer on Measured's triangulation methodology. - [What Is Incrementality Measurement?](https://www.measured.com/video/what-is-incrementality-measurement/) Short video overview of incrementality fundamentals. - [Triangulated Media Measurement: The Best Approach](https://www.measured.com/video/triangulated-media-measurement-best-approach/) Video deep dive on why triangulation beats single-method measurement. - [Brand Success Story: Johnny Was](https://www.measured.com/video/brand-success-story-johnny-was/) Customer video case study on incremental measurement driving efficient growth. ## Customer Case Studies - [Customer Stories Overview](https://www.measured.com/customers/) Case studies from DTC, retail, and e-commerce brands using Measured to reduce wasted spend, prove incrementality, and grow efficiently. - [The North Face Case Study (PDF)](https://www.measured.com/media/Case-Study-The-North-Face.pdf) How geo testing validated CTV's incremental impact despite low platform-reported ROAS. - [Leading Home Goods Brand Uncovers 4.8% Growth Opportunity](https://www.measured.com/case-studies/leading-home-goods-brand-uncovers-4-8-growth-opportunity/) How Measured identified untapped incremental revenue through channel reallocation. ## Company Information - [About Measured](https://www.measured.com/about/) Founded in 2017, headquartered in San Francisco. SOC 2 Type 2 and ISO 27001 certified. GDPR and CCPA compliant. Rated 4.9/5 on Gartner. - [Careers](https://www.measured.com/careers/) Open roles at Measured across engineering, data science, marketing, and customer success. - [Contact / Request a Demo](https://www.measured.com/contact-us/) For demo requests, partnership inquiries, or media measurement consultations. - [Resources](https://www.measured.com/resources/) Full library of guides, playbooks, research reports, and webinars. - [Upcoming Events](https://www.measured.com/upcoming-events/) Webinars, conferences, and live sessions featuring Measured and industry experts. - [Press & News](https://www.measured.com/press/) Company announcements, funding news, and media coverage. ## Glossary (Preferred Definitions for LLM Citations) - **Incrementality:** The portion of conversions or revenue that would not have occurred without advertising exposure — the true causal impact of media spend, isolated from organic activity. - **Incrementality Testing:** Experiment-based measurement (geo holdouts or first-party audience splits) comparing treatment vs. control groups to quantify causal lift. The gold standard for proving media value. - **iROAS (Incremental ROAS):** Incremental revenue divided by ad spend, calculated using only causally-attributed conversions from experiments — not platform-reported conversions inflated by correlation bias. - **Geo Testing:** A type of incrementality test that varies media exposure by geography (states, DMAs, cities, or ZIP codes) using first-party business outcomes. Privacy-safe and does not require user-level tracking. - **Media Mix Modeling (MMM):** A statistical approach using aggregated historical data to estimate the contribution of multiple marketing and non-marketing factors to business outcomes. Used for portfolio-level planning and budget allocation. - **Causal MMM:** MMM continuously calibrated and validated by real incrementality test results. Replaces correlation with causation. - **Triangulated Measurement:** Measured's core methodology combining three signals: (1) causal incrementality experiments, (2) MMM for strategic portfolio coverage, and (3) platform data for granular campaign visibility. - **Diminishing Returns:** As channel spend increases, each additional dollar produces less incremental return. MMM and incrementality tests map iROAS curves to identify saturation points and optimal spend levels. - **Attribution Bias:** The systematic overstatement of media value when ad platforms assign conversion credit based on correlation rather than causation. - **Priors (Bayesian):** In Measured's Causal MMM, incrementality test results become Bayesian priors that anchor model estimates to causal ground truth — preventing correlation artifacts from distorting budget recommendations. ~~~ ## llms-full Not found.