# Measure Protocol

> Measure Protocol is a behavioral data company capturing what people do on their devices, not what they say they do. It's permissioned data lake holds 2.3 trillion behavioral signals across Google, Meta, TikTok, Amazon, ChatGPT, and other closed platforms. This cross-platform visibility powers Measure Data, Measure Outcomes, Measure Predict, and Measure Labs, serving media companies, brands, and analytics teams including Google, Meta, Netflix, and the UK’s three largest commercial broadcasters through Project Lantern.

## Core pages
- [Measure Protocol](https://www.measureprotocol.com/): Homepage with product overview, capabilities, and FAQ.
- [Insights](https://www.measureprotocol.com/insights): Articles on measurement, media, and marketing analytics.
- [Articles](https://www.measureprotocol.com/articles): All insight articles, newest first.
- [Reports](https://www.measureprotocol.com/reports): Research reports and slide decks.
- [About](https://www.measureprotocol.com/about): Company background and team.
- [Contact](https://www.measureprotocol.com/contact): Get in touch with Measure.

## Products
- [Measure Data](https://www.measureprotocol.com/products/data): Permissioned behavioral streams, models for journeys and personas, multi-touch outcomes, and delivery into your BI and research workflows.
- [Measure Outcomes](https://www.measureprotocol.com/products/outcomes): Multi-touch TV and video outcomes: exposures linked to search, scroll, social, browse and purchase—beyond single-tag web or retailer metrics.
- [Measure Predict](https://www.measureprotocol.com/products/predict): Behavior-first GenAI, search and app visibility: usage mapping, intent classification, journey links and scoring—beyond classic search or on-site analytics alone

## Insights
- [How Do Brand Preferences Change After Having a Baby?](https://www.measureprotocol.com/insights/how-brand-preferences-change-after-having-a-baby): Predict's cross-purchase data maps the new-parent brand reset: which brands consumers quietly drop in the first six months, which categories they enter for the first time, and which non-baby brands capture new-parent spend at up to 7× the panel average.
- [Which Brands Do Consumers Search For After Leaving a Competitor's Website?](https://www.measureprotocol.com/insights/brands-consumers-search-after-leaving-competitor-website): Predict panel data maps what consumers do after bouncing from a brand's site: over half go straight to search, second-choice brands split into clear competitive clusters, and search-driven visits convert at up to 1.9x the rate of browsing.
- [Which Brands Win When a Consumer Moves to a New City?](https://www.measureprotocol.com/insights/which-brands-win-when-consumers-move-to-a-new-city): Predict behavioral data on which categories new movers repurchase immediately, where they use the move to switch brands, and which brands are best positioned to intercept a consumer rebuilding their everyday routines one purchase at a time.
- [Which Brands Lose Consumers Forever vs. Temporarily? Predict Data on Permanent Brand Exit vs. Temporary Lapse in Fashion, Beauty, and Lifestyle](https://www.measureprotocol.com/insights/brands-that-lose-consumers-forever-vs-temporarily): Predict panel data separates permanent brand exits from temporary lapses across fashion, beauty, and lifestyle: which brands lose consumers for good, the search signals that precede an exit, and the behaviors that show a lapsed customer is still winnable.
- [Which Brands Convert Above Their Search Share? Purchase-to-Search Ratio Data (2024–2025)](https://www.measureprotocol.com/insights/brands-that-convert-above-their-search-share): Predict panel data ranks brands by purchase-to-search ratio on Amazon and Walmart. Amazon private labels and e.l.f. Cosmetics convert far above their search weight, while entertainment franchises like Wicked are searched up to 35× more than they're bought.
- [How Does Consumer Search Behavior Change After Payday? Predict Data on Aspiration Brands vs. Routine Brands](https://www.measureprotocol.com/insights/payday-search-behavior-aspiration-vs-routine-brands): Predict behavioral panel data compares branded search in pay windows vs. mid-cycle: which brands ride the paycheck (Nike, SHEIN, Steam, TikTok), which are searched regardless of wallet timing (Amazon, Apple, PayPal), and why the routine position is the only safe one.
- [Which Brands Convert More Than They Are Searched? Purchase-to-Search Ratio Rankings](https://www.measureprotocol.com/insights/brands-high-purchase-to-search-ratio): Predict panel data ranks the brands whose purchase share far exceeds their search share — led by McCain Foods (565×), Colgate (285×) and Walkers (122×) — and explains why curiosity brands and conviction brands are almost never the same.
- [When Does a Zara Shopper Become a COS Shopper? The Exact Trade-Up Moment in the Data](https://www.measureprotocol.com/insights/when-does-a-zara-shopper-become-a-cos-shopper): Measure Predict panel data pinpoints the moment fast-fashion shoppers trade up: the search terms that precede it, the category that triggers it, how long it takes, and the behavioral tipping point where the decision is made.
- [Which Brands Appear in Search History Before a First Luxury Purchase?](https://www.measureprotocol.com/insights/brands-in-search-history-before-first-luxury-purchase): Predict behavioral panel data on the six months before a first luxury purchase: the gateway categories that prime the buy, the brands that dominate the research window, and the last-touch signals before consumers cross the luxury threshold.
- [What Do Consumers Search For in the Week After a Regretted Purchase?](https://www.measureprotocol.com/insights/what-consumers-search-after-regretted-purchase): Predict panel data tracks the 7-day post-purchase search journey after buyer's remorse: which return-related search terms spike, whether shoppers switch brands or exit the category, and which brands capture the follow-up purchase.
- [Who Buys Cecilie Bahnsen? Inside the Consumer Profile Behind Fashion's Sculptural Tulle Obsession](https://www.measureprotocol.com/insights/who-buys-cecilie-bahnsen-consumer-profile): Behavioral panel data from Measure Predict reveals who buys Cecilie Bahnsen's tulle and sculptural dresses: a young, female, Instagram-first, sustainability-obsessed buyer whose cross-purchase profile is premium-mass, not ultra-luxury.
- [Reiss vs COS: Who Is Winning the Considered Workwear Consumer?](https://www.measureprotocol.com/insights/reiss-vs-cos-considered-workwear-consumer): Predict behavioural data compares Reiss and COS: who buys each brand, how loyalty and purchase occasions differ, and what search and cross-purchase data reveal about the considered workwear consumer.
- [Who Buys Veja Sneakers? A Data-Driven Deep Dive Into the Veja Consumer](https://www.measureprotocol.com/insights/who-buys-veja-sneakers-consumer-deep-dive): Predict panel data on Veja buyer demographics, how the consumer profile has evolved as the brand scaled from ethical niche to mainstream consideration, and what cross-purchase behavior reveals about values-driven buyers confronting the brand's ubiquity.
- [Are Non-Alcoholic Functional Drinks a Durable Category or a Fad?](https://www.measureprotocol.com/insights/non-alcoholic-functional-drinks-durable-category-or-fad): Predict behavioral data on the non-alcoholic functional drink boom: Dry January search spikes, how the January buyer differs from the year-round convert, and why 76% of NA beer buyers still buy alcohol.
- [Who Is Buying 100-Inch TVs? Inside the Mega-Screen Buyer's Journey](https://www.measureprotocol.com/insights/who-is-buying-100-inch-tvs): Predict panel data reveals who actually buys 100-inch-plus TVs from brands like Sony and Samsung: a 35–44, gender-balanced cohort that researches 4× longer than standard premium TV buyers and cross-shops gaming, home audio, and TV mounts.
- [Which Brands Appear Together in the Same Consumer's Purchase History Across Categories?](https://www.measureprotocol.com/insights/cross-category-brand-clusters-consumer-purchase-history): Predict's US panel data reveals which fashion, food, fitness, and home brands consistently co-occur in the same consumers' purchase histories without ever competing — and the consumer identities these cross-category constellations expose.
- [What Happens After a Consumer Cancels a Luxury Subscription? Predict Data on Brand Comparisons, Trade-Downs, and the Three-Week Window](https://www.measureprotocol.com/insights/what-happens-after-cancelling-luxury-subscription): Predict behavioral panel data maps what consumers do after cancelling a premium subscription: who they compare, whether they trade down or exit the category, and why brands have roughly three weeks — about one billing cycle — to win them back.
- [Who Buys A.P.C.? Brand Deep Dive: The Consumer Trading Up From Fast Fashion to Premium French Basics](https://www.measureprotocol.com/insights/who-buys-apc-brand-deep-dive-trading-up-consumer): Behavioral panel data on the A.P.C. buyer: a 25–34, male-leaning, research-heavy consumer discovered through Google Lens, loyal to quiet-luxury adjacents, and using fast fashion as a utility layer — not a preference.
- [What Fashion, Beauty, and Shoe Brands Do Coachella Attendees Buy Before the Festival?](https://www.measureprotocol.com/insights/what-brands-coachella-attendees-buy-before-festival): Using Measure's Predict data, we map the eight-week pre-Coachella shopping spike — the fashion, beauty, and shoe brands festival-goers over-index on most, and what their cross-category shopping reveals about the year's most elaborately planned outfit occasion.
- [Who Is Buying Portable Power Stations Now? From Camping Gadget to Mobile Work Infrastructure](https://www.measureprotocol.com/insights/portable-power-stations-camping-to-mobile-work-infrastructure): Predict panel data shows camping accounts for just 6.5% of portable power station purchases. Home backup, remote work, and off-grid buyers now drive the category — and cross-purchase data reveals how a one-off buy becomes a full mobile work setup.

## Reports
- [Behavioural Podcast Measurement: Three Things Survey Data Can't See](https://www.measureprotocol.com/reports/behavioural-podcast-measurement-three-things-survey-data-can-t-see): Behavioural data validates podcast audience skew, measures hours per listener, and scales to the long tail — three things survey methodology cannot do.
The "three things" framing is doing the work here: it telegraphs the article's structure (your three sections — skew, loyalty, long tail), it sets up a clear extractable claim for AI search engines, and it lands the survey-vs-behavioural argument without naming a competitor in the headline.
- [Retail Leakage: The 30-Minute Cross-Platform Window Walled Gardens Cannot See](https://www.measureprotocol.com/reports/retail-leakage-the-30-minute-cross-platform-window-walled-gardens-cannot-see): A 30-minute leakage window quantifies how often high-intent shoppers leave a retailer for a competitor. Invisible to walled gardens. Measurable in panel data.
- [21% of ChatGPT Conversations Show Commercial Intent: Four Usage Patterns Identified](https://www.measureprotocol.com/reports/21-of-chatgpt-conversations-show-commercial-intent-four-usage-patterns-identified): Measure Protocol data shows 21.6% of ChatGPT interactions carry commercial intent, with 7.1% showing high purchase intent. Business finance (34%) and product comparison (28%) lead.

## Optional
- [Privacy policy](https://www.measureprotocol.com/privacy): Privacy policy and data handling.
- [Terms of use](https://www.measureprotocol.com/terms): Website terms of use.