At A Glance
AdTech can feel overwhelming with all its jargon, but we're breaking it down café-style. From first-party data and identity resolution to clean rooms and ID-free targeting, this guide breaks down the essential terms marketers need to know.In this article…
If you’ve ever sat in a meeting and heard an AdTech term you didn’t understand, you’re not alone. The industry evolves as quickly as a café turns over tables on a busy weekend. Even seasoned regulars can get tripped up by the jargon.
So instead of scratching your head over the “menu,” let’s walk through some of the most common terms: served café-style.
The ingredients: The many flavors of first-party data
Every meal starts with ingredients, and in AdTech, those ingredients are data. First-party data is not just one thing: it’s more like everything your favorite neighborhood café knows about you.
First-party data
The café knows your coffee preferences because you’ve told them directly; whether by ordering at the counter, calling in, or placing an order online. This is information you’ve willingly provided through your interactions, and it belongs only to that café.
First-party cookies
The barista writes down your preferences in a notebook behind the counter, so next time you walk in, they don’t have to ask. First-party cookies remember details to make your experience smoother, but only for that café.
Authenticated identity
A loyalty app that connects online orders to in-person visits. By logging in, you’re saying, “Yes, it’s really me.” Authenticated identity is proof that the customer isn’t just a face in line, but someone with a verified profile.
Persistent identity
Recognizing you whether you order through the app or in person. Persistent identity enables the ability to keep track of someone across different touchpoints, consistently, without confusing them with someone else.
Permissioned data
Agreeing to join the loyalty program and get emails. Permissioned data is a connection to the customer that the customer proactively shared with the café by signing up for their loyalty program or email newsletter.
Each piece comes from direct interactions, stored and used in different ways. That’s what makes first-party data nuanced. The saga of third-party cookie deprecation and changing privacy regulations makes it important to understand which types of data you can collect and use for marketing purposes.
And once you have those ingredients, the next step is making sure you recognize how they fit together, so you can see each customer clearly. That’s where identity resolution comes in.
The recipe: Bringing the ingredients together with identity resolution
At the café, identity resolution is what helps the staff recognize you as the same customer across every interaction. Without it, they might think you’re two different people; one who always orders breakfast and another who sometimes picks up pastries to go.
Matching
The café has a loyalty program, and the pet bakery next door has one too. When they match records across their two data sets, they realize “M. Jones” from the café is the same person as “Michelle Jones” from the bakery. That connection means they can activate a joint promotion, like free coffee with a dog treat, without either business handing over their full customer lists. In marketing, matching works the same way, linking records across data sets for activation so campaigns reach the right people.
Deduplication
Collapses duplicate profiles into a single, clean record, so you don’t get two birthday coupons, even though that would be nice to get.
That’s what Experian does at scale: we connect billions of IDs in a privacy-safe way, so you can get an accurate picture of your audience.
And once you can recognize your customers across touchpoints, the next challenge is collaborating across systems and partners for deeper insights. That’s where the behind-the-counter processes come in.
Behind the counter: Crosswalks and clean rooms
At a café, these terms are like the behind-the-counter processes that keep everything running smoothly. They may sound technical, but they all serve the same purpose: helping data collaborate across different sources, while keeping sensitive information safe. The goal is a better “meal” for the customer, deeper insights, better targeting, and more personalized campaigns. Here’s how they work.
Crosswalks
The café partners with the pet bakery next door. They both serve a lot of the same people, but they track them differently. With a crosswalk, they can use a shared key to recognize the same customer across both businesses, so you get a coffee refill, and your dog gets a treat, without either one handing over their full customer list. A crosswalk is the shared system that lets both know it is really you, without swapping personal details. It’s the bridge connecting two silos of data.
Clean rooms
The café and the pet bakery want to learn more about their shared customers, like whether dog owners are more likely to stop by for brunch on weekends. Instead of swapping their full records, they bring their data into another café’s private back room, a clean room, where they can compare trends safely and privately. Both get useful insights, while customer details stay protected. That’s a clean room: secure collaboration without exposing sensitive data.
Of course, sharing and protecting data is only part of the picture. The real test comes when you need to serve customers in new ways, especially as the industry moves beyond cookies.
Serving customers in new ways: Cookie-free to ID-free
Targeting has evolved beyond cookies, just like cafés no longer rely only on notebooks to remember regulars.
ID-free targeting
The café looks at ordering patterns, like cappuccinos selling on Mondays and croissants on Fridays, without tracking who’s ordering what. Instead of focusing on who the customer is, the café tailors choices based on the context of the situation, like time of day or day of the week. This is like contextual targeting, serving ads based on the environment or behavior in the moment, rather than on personal identity.
ID-agnostic targeting
The café realizes customers show up in all sorts of ways: walk in, online ordering, delivery. Each channel has its own “ID,” a name on the app, a credit card, or a loyalty profile. ID-agnostic targeting means no matter how you order, the café can still serve you without being locked into one system.
Just like cafés no longer rely only on notebooks to keep track of regulars, marketers no longer have to depend solely on cookies. Today, there are multiple paths, cookie-free, ID-free, and ID-agnostic, that can all help deliver better, more relevant experiences.
But even with new ways to reach people, one big question remains: how do you know if it’s actually working? That’s where measurement and outcomes come into play.
Counting tables vs. counting sales
At the café, measurement and outcomes aren’t the same.
Measurement
Tables filled, cups poured, specials ordered.
Outcomes
What it all means: higher revenue, more loyalty sign-ups, or increased sales from a new promotion.
Both matter. Measurement shows whether the café is running smoothly, but outcomes prove whether the promotions and strategies are truly paying off. Together, they help connect day-to-day activity to long-term success.
All of this brings us back to the bigger picture: understanding the menu well enough to enjoy the meal.
From menu to meal
In AdTech, there will always be new terms coming onto the menu. What matters most is understanding them well enough to know how they help you reach your business goals. Just like at the café, asking a question about the specials isn’t foolish. It’s how you make sure you get exactly what you want. The more we, as an industry, understand the “ingredients” of data and identity, the better we can cook up new solutions that serve both brands and consumers. After all, the goal isn’t just to talk about the menu, it’s to enjoy the meal.
At Experian, we help brands turn that menu into action. From identity resolution to privacy-safe data collaboration, our solutions make it easier to connect with audiences, activate campaigns, and measure real outcomes.
If you’re ready to move from decoding the jargon to delivering better customer experiences, we’re here to help
About the author
Brandon Alford
Group Product Manager, Experian
Brandon Alford is a seasoned professional in the AdTech ecosystem with a focus on identity, audience, measurement, and privacy-forward solutions. He has spent his career helping advertisers and publishers navigate the complexities of digital advertising and privacy, bringing a practical and forward-looking perspective to industry challenges and innovation.
AdTech jargon FAQs
First-party data is information a customer shares directly with a brand, like purchase history, preferences, or sign-ups. It’s the most valuable and privacy-safe data marketers can use to build personalized campaigns.
Identity resolution ensures a brand can recognize the same customer across different touchpoints. Matching links records across data sets (e.g., between partners) so campaigns reach the right people without exposing full customer lists.
A crosswalk bridges two data systems with a shared key to recognize the same customer, while a clean room allows partners to analyze data together securely without exposing sensitive details.
Cookie-free and ID-free targeting shift focus away from tracking individuals, instead tailoring ads based on context (like time of day or content being viewed) or allowing flexibility across multiple IDs.
Measurement tracks activity (like clicks or visits), while outcomes prove business impact (like sales, loyalty, or revenue). Both are essential, but outcomes show whether strategies are truly effective.
Experian provides tools for identity resolution, privacy-safe data collaboration, and campaign measurement, helping marketers move from understanding the “menu” of AdTech terms to achieving real results.
Latest posts
Identity-led local advertising that works Local advertisers run on tight budgets, short timelines, and constant pressure to prove what works. Every dollar must count. In this Ask the Expert session, Aaron Brown, Chief Scientist at Madhive, joins Ali Mack, VP of AdTech Sales at Experian, to discuss how the Maverick AI platform helps local advertisers make confident decisions, act on clear recommendations, and see outcomes they can stand behind. Why local campaigns demand accuracy, and how to deliver it Local teams juggle multiple channels, changing budgets, and heavy performance expectations. To stay competitive, local teams need quick answers to three critical questions: Which households are most valuable to reach? Which channels work best in their market? Are campaigns on on track, day by day? Delivering that level of accuracy means working from a single, trusted view of households, channels, and performance, powered by clean, connected, and continuously updated data. “When you think about local, these aren’t enormous budgets. These businesses depend on success from day one and are still finding their footing. There’s a wealth of nuanced information we need to hear from advertisers to ensure their campaigns succeed, and a wealth of insights we need to deliver back. It’s a real-time matching problem at scale to make sure everything runs profitably for our customers.”Aaron Brown, Chief Scientist Why Experian data is the foundation of local planning Data is the foundation of effective local advertising, but not all data is created equal. For local advertisers, the real advantage comes from high-quality, actionable data that pinpoints likely customers and reduces wasted spend. Experian Marketing Data provides the identity and insights spine that helps local advertisers: Identify the right households in each market Build consistent, people-based audiences across partners Activate with confidence and measure outcomes on the same foundation Madhive’s data marketplace builds on this identity layer, curating trusted data sets that advertisers can integrate directly into planning and activation. “We’re focused on creating perfect matches between businesses and consumers. The right data is critical, which is why we started the data marketplace. It’s a curated, opinionated take on the best data to drive outcomes for the companies that depend on us.”Aaron Brown, Chief Scientist Madhive's Maverick AI at the core of local advertising Madhive’s Maverick AI is the AI-powered operating system for local media. Built as a foundational layer behind Madhive’s entire workflow, Maverick AI connects the dots across planning, targeting, reporting, and storytelling. Its purpose is simple yet transformative: turn fragmented data and advertiser inputs into actionable insights at scale. What makes Maverick AI different? AI-driven intelligence It doesn’t just automate tasks; it analyzes signals, connects context across markets, and refines strategies as campaigns progress. Data connectivity Maverick AI integrates diverse data sources, including Experian’s trusted identity data, so local advertisers can target households with accuracy and measure outcomes confidently. Interactive transparency Beyond dashboards, Maverick AI works alongside sellers and advertisers, surfacing insights, flagging missing inputs, and turning transparency into clear next steps. Adaptability From structured KPIs to unstructured signals like lists of recent in-store buyers or priority ZIP codes, Maverick AI uses every clue to inform smarter, faster decisions. "Maverick AI exists to connect local advertisers with data like Experian’s. Its ability to collaborate and tell stories back to advertisers is one of its greatest strengths.”Aaron Brown, Chief Scientist How Maverick AI and Experian Marketing Data turn transparency into results Maverick AI turns performance transparency into aligned plans and faster optimizations for local advertisers and agencies. Paired with Experian’s identity data, advertisers get an accurate, household-level view of real people in real locations. That lets them build consistent local audiences, reach those audiences across connected television (CTV), social, and the open web, and confidently tie ad exposure back to outcomes that matter in each market. “Maverick AI is the foundational layer behind all our operations – targeting, reporting, and storytelling. It connects data across organizations and advertisers, including trusted data sources like Experian. AI works tirelessly to pick up context, connect the dots, and deliver great results end-to-end for our customers.”Aaron Brown, Chief Scientist Your next local campaign starts with Madhive and Experian Local advertising performance starts with a trusted identity foundation. With Experian data and Madhive’s Maverick AI platform, local advertisers can define the right households once, activate their campaigns across CTV and digital channels, and measure outcomes with confidence. Many brands are increasing investment in AI-powered planning to cut waste and grow on-target reach. Let’s work together to make your next campaign a success. Let's solve your local advertising challenges today About our experts Aaron Brown Chief Scientist, Madhive Aaron Brown is Chief Scientist at Madhive, where he leads Mad Labs, the company’s advanced innovation division. With a background spanning mathematics, computer science, and law, Aaron specializes in applying complex technical and theoretical breakthroughs to real-world business challenges. Before joining Madhive, he worked at the machine learning startup Intelligent Life. A graduate of Boston University with degrees in Mathematics and Computer Science, he also holds a J.D. from the University of Southern Queensland and lives in New York City. Ali Mack VP of AdTech Sales, Experian Ali Mack leads Experian’s AdTech business, overseeing global revenue across the company’s expansive tech and media portfolio. With over a decade of experience in digital and TV advertising, Ali drives strategic growth by aligning sales, customer success, and solutions teams to deliver impactful outcomes for clients and partners. She has successfully guided teams through two major acquisitions, integrating sales organizations and product portfolios into unified go-to-market strategies. Under her leadership, Experian has consistently exceeded revenue targets while fostering collaborative, results-driven teams and mentoring emerging leaders. Working closely with finance, product, and marketing, Ali develops strategies that support a diverse ecosystem of publishers, brands, and technology partners, positioning Experian at the forefront of data-driven advertising and identity resolution. FAQs What makes local advertising so challenging? Local advertisers face tight budgets, short timelines, and high pressure for results. They must reach the right households, tailor messaging, and optimize campaigns across zip codes. Experian’s data solutions and Madhive’s Maverick AI platform help overcome challenges like location targeting and data activation without losing signal. How does Madhive’s Maverick AI platform help advertisers achieve better results? Madhive’s Maverick AI platform centralizes operations, targeting, and reporting while enabling granular local planning at scale. It integrates Experian’s data to target households accurately, optimize campaigns across markets, and deliver measurable results, even for advertisers with limited budgets. How do Experian and Madhive foster collaboration in local advertising? Madhive’s Maverick AI platform provides transparency and clear recommendations, aligning advertisers on goals. Experian’s data solutions further enhance this process by providing a unified view of audience behavior, ensuring campaigns remain cohesive and effective across all channels. Latest posts
Audigent, a part of Experian, Dun & Bradstreet, and Experian are collaborating to help business-to-business (B2B) marketers target more effectively. Now, B2B marketers can reach verified decision-makers, keep the same audience across channels, and activate on connected TV (CTV) and digital via the Experian data marketplace. Together, Dun & Bradstreet’s trusted business data, Audigent’s curation and Deal ID activation, and Experian’s identity resolution drive efficient, measurable results. Unify identity and engage B2B audiences With Audigent, Dun & Bradstreet, and Experian working together, you get one dependable way to recognize the same companies and roles everywhere you run. Dun & Bradstreet's D-U-N-S® Number, serves as a stable company identifier, so offline business details map to the right digital profiles, and you can reach verified decision-makers with confidence. Through Audigent and Experian, you can access 400+ Dun & Bradstreet B2B audience segments, matched to a Deal ID and activated via Audigent’s curation engine and Experian’s data marketplace. This provides real-time B2B targeting across connected television (CTV), display, native, audio, and online video (OLV). Utilize differentiated data Dun & Bradstreet audiences are built on verified offline signals (e.g., company, industry, size, role, seniority) linked to the proprietary D-U-N-S® Number for deterministic matching. High-quality firmographic attributes become actionable segments you can activate in leading programmatic platforms. The result: privacy-compliant, performance-driven campaigns with omnichannel B2B targeting. Unmatched scale Dun & Bradstreet’s Data Cloud spans over 600 million businesses across industries and regions, offering unparalleled depth for B2B targeting. Verified business identity The D-U-N-S® Number links verified offline business data to digital environments, enabling accurate and scalable activation. Privacy-first design Data undergoes rigorous validation and is compliant with major global regulations (General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA)), enabling responsible activation. Trusted by the enterprise Over 85% of Fortune 500 companies rely on Dun & Bradstreet B2B data for its depth, accuracy, and broad coverage of small and medium-sized businesses (SMBs). Three ways unified B2B identity improves media performance Target with accuracy: Use deterministic firmographics. Dun & Bradstreet’s D-U-N-S® Number anchors a consistent way to recognize the same company, linking offline signals to authenticated business entities. Reduce waste: Activate curated PMPs for efficient spend. Audigent’s curation engine packages those audiences into Deal IDs and routes through cleaner, more predictable supply paths, so more budget reaches the buyers that matter. Publishers see up to 75% net revenue increase after fees, while brands save 36–81% on data segments and achieve 10–30% higher video completion rates. Stay consistent: Maintain identity across all channels. Use the same audience criteria across CTV, display, native, audio, social, and OLV to improve match consistency without relying solely on third-party cookies. Improve addressability with Experian's Digital Graph Advertisers can use Dun & Bradstreet’s off-the-shelf segments to target specific audiences accurately across channels. By connecting Experian’s Digital Graph with Dun & Bradstreet’s company and contact data, marketers gain a clear advantage: one durable identity that improves match rates, keeps reach consistent across CTV and digital, and aligns targeting with measurement. What that means in practice: Higher match rates without third-party cookies. Expect consistent reach across CTV and digital with one audience anchored to the same identity. Cleaner measurement because activation and identity stay in sync. Suggested use cases Below are simple ways to put this to work, using Dun & Bradstreet business data and Audigent Deal IDs so the same audience runs and measures the same everywhere. Target key decision-makers Reach professionals in Finance, Sales, Healthcare, and IT/Technology by job role, company size, and industry, driving awareness and consideration across complex buying committees. Reach SMB owners Target companies with fewer than 50 employees to connect with small-business owners and operators. Activate across channels via Audigent Deal IDs for consistent delivery and measurement. Achieve more with Audigent, Dun & Bradstreet, and Experian Together, Audigent, Dun & Bradstreet, and Experian allow marketers to activate high-quality B2B audiences with confidence, delivering relevant and efficient campaigns. By pairing Dun & Bradstreet’s trusted business data and proprietary D-U-N-S® Number with Audigent’s curation engine, you get deterministic, privacy-compliant targeting at scale, now boosted by Experian’s identity for consistent cross-channel reach. Ready to activate your next B2B audience? Talk to an Experian expert today FAQs What makes Dun & Bradstreet's data unique for B2B targeting? Dun & Bradstreet's data is anchored by the D-U-N-S® Number, a persistent business identifier that links offline signals like company size, industry, and role to digital environments. This ensures accurate, scalable, and privacy-compliant targeting. How does Experian enhance cross-channel reach? Experian's Digital Graph connects devices and IDs at the household level, enabling consistent audience identity across channels, even in cookieless environments. This ensures higher match rates and reliable measurement. What is Audigent's role in this collaboration? Audigent's curation engine creates audience-aligned Deal IDs and PMPs, optimizing supply paths for efficient media buying. This reduces waste and improves campaign performance with cleaner, more predictable targeting. How does this solution support ABM strategies? Marketers can build role-based segments (e.g., IT Directors at mid-sized companies) and activate them across CTV and digital channels. Sequential messaging tailored to buying stages helps accelerate pipeline and drive engagement. Latest posts
Personalization without context misses the moment Marketers have spent years perfecting personalization — but personalization alone often misses the mark. We’ve all seen it. You shop for a weekend getaway, then get served travel ads weeks later when you’re already home. The data was right. The timing wasn’t. Personalization based only on identity and behavior knows who you are but not when or why you’re ready to act. At Experian, we believe AI should make marketing feel more human. That means understanding people in context, recognizing their environment, mindset, and the moment, to create relevance that feels timely, not intrusive. The context gap: Why identity and behavior aren’t enough Identity and behavioral data can reveal the kind of consumer someone is and the kind of products they may want to buy. But they don’t explain what’s happening right now. The missing layer is context: the dynamic, real-time signal that shows why this moment matters. Context bridges the gap between knowing something about a consumer and understanding their intent. In an era of fragmented signals and stricter privacy rules, context is one of the most reliable ways to stay relevant without over-reliance on personal identifiers. It helps marketers adapt to shifting needs while keeping privacy intact. How Experian interprets context in real-time By context, we mean all the subtle, in-the-moment signals, like time of day, location, or what someone’s watching, that shape what people care about in real-time. At Experian, our technology interprets these in real-time: Temporal signals Time-based patterns such as daypart (morning vs. evening), recency (how fresh a signal is), seasonality (holidays, life events), and micro-moments (split-second intent-driven actions). Environmental signals The media or content environment; what type of program, article, or channel someone is engaging with when they see your ad. Situational intent Signals like browsing behavior or purchase patterns that hint at a person’s stage in the buying journey, from early research to final decision. By layering these signals over verified identity and behavioral data, Experian’s AI-powered technology helps marketers predict not just who will act, but when they’re ready to act. Experian’s approach: Turning context into relevance Consumer behavior changes by the minute, and marketers need to adapt just as quickly. Our technology interprets live bidstream data, device activity, content, and timing to optimize in the moment, ensuring your campaigns deliver meaningful relevance, not just broader reach. Our process combines: Input Clean, accurate identity and audience data anchored in our privacy-first framework. Enrichment Our models fuse household, device, and publisher context to reveal moment-based intent. Activation We're investing in agentic workflows that help marketers plan and execute performance campaigns at scale, activated via our real-time technology that dynamically adjusts deals and surfaces contextually aligned opportunities. Governance Every signal and recommendation follows Experian’s principles of transparency, consent, and ethical oversight. We call this AI-powered simplicity tools that help marketers work more efficiently, with intelligence that feels intuitive and human-centered. How context changes the game for marketers AI without real-time context can only react based on what it already knows. AI-powered by in-the-moment contextual data points enables marketers to anticipate, not just react. A travel brand can shift creative from “dreaming” to “booking” mode when AI detects signals of active planning. A retailer can align promotions with trending content or regional weather shifts in real time. A CPG brand can trigger different product messages based on the context of recipes or household occasions. Adjustments based on contextual signals compound into meaningful gains — higher engagement, better efficiency, and a consumer experience that feels natural rather than intrusive. Context makes AI more human Context introduces empathy into automation. It’s what keeps AI from overstepping, ensuring the message fits the moment. When marketers respect timing, environment, and intent, ads feel like service, not surveillance. Context transforms relevance into respect. At Experian, our vision is to make every signal serve people, not profiles. Because the more our technology (including our AI tools and capabilities) understands context, the more human marketing becomes. At Experian, responsible intelligence is built in Every contextual model we deploy adheres to our standards for transparent and responsible innovation. We validate inputs, monitor model drift, and ensure no context-based variable introduces bias or privacy risk. This is what responsible automation looks like in practice: intelligent, explainable, and ethical. From who to when: Context is the future of AI-driven marketing Identity tells us who someone is. Context tells us when it matters. The next wave of AI-driven marketing will unite privacy-first identity with contextual intelligence to deliver real-time relevance, responsibly. At Experian, we’re building that future now. Our AI-driven capabilities bring identity, insight, and generative intelligence together so brands, agencies, and platforms can reach the right people, at the right moment, with relevance and respect. Get started now About the author Matthew Griffiths SVP of Technology, Audigent, a part of Experian Matthew Griffiths is a seasoned technology entrepreneur and a driving force in advertising technology, data technology, and AI. As the Co-Founder and former CTO (now SVP of Technology) at Audigent, a part of Experian, he plays a pivotal role in shaping the company’s cutting-edge solutions for data activation, curation, and identity management. With years of executive experience across the U.S., Africa, and the U.K., Matthew has a proven track record of leadership in steering the adoption and use of cutting-edge technologies to drive business outcomes. His expertise spans from collaborating with top global corporations and governments to spearheading award-winning technology projects that deliver life-changing impacts in some of the world's most underserved communities. Matthew’s dynamic approach to solving complex business and technology challenges makes him a visionary leader in the AdTech space, consistently driving innovation and performance through technology. FAQs How does context make AI-driven marketing more effective? Context makes AI-driven marketing more effective because it helps marketers understand people in context, recognizing their environment, mindset, and the moment, to create relevance that feels timely, not intrusive. Context helps marketers understand not just who a person is, but when and why they’re ready to act. Experian’s AI-powered technology layers contextual signals over verified identity data to deliver relevance that feels intuitive, not invasive. This approach connects recognition with understanding, making every campaign more effective and more human. What is the context gap in AI-driven marketing? Identity and behavioral data can reveal the kind of consumer someone is and the kind of products they may want to buy. But they don’t explain what’s happening right now. That’s the context gap—the missing link between knowing something about a consumer and understanding their intent. Context closes this gap by analyzing environmental, temporal, and situational signals that reveal intent—without using invasive identifiers. Does Experian interpret contextual signals in real-time? Yes, at Experian, our technology interprets contextual signals, including temporal, environmental, and situational, in real-time. By layering these signals over Experian’s verified identity and behavioral data graph, marketers can predict when consumers are most receptive, turning data into real-time opportunity. What does responsible intelligence look like in practice? At Experian, every contextual model we deploy adheres to our standards for transparent and responsible innovation. We validate inputs, monitor model drift, and ensure no context-based variable introduces bias or privacy risk. What does Experian’s foundation in responsible automation look like? – Privacy-first clarity: We unify household, individual, device, demographic, behavioral, publisher first-party signals, and contextual data points to build a reliable view of consumers, even when certain signals are missing. This clarity helps marketers personalize, target, activate, and measure with confidence.- Predictive insight: Our models go beyond describing the past. They forecast behaviors, fill gaps with inferred attributes, create lookalikes, and recommend next-best audiences so clients can anticipate opportunity.- AI-powered simplicity: We’re investing in generative AI and exploring emerging agentic workflows to reimagine how marketers work. Our vision is to move beyond basic audience recommendations toward intelligent audience discovery and automated setup, helping teams uncover opportunities they may not have considered, while spending less time on manual work and more time on strategy and outcomes.- Real-time intelligence: Consumer journeys never stand still. Our AI-powered technology interprets live bidstream data, device activity, content, and timing to optimize in the moment, ensuring campaigns deliver meaningful relevance, not just broader reach.- Transparent and responsible innovation: We drive safe, modular experimentation, from generative applications to agentic workflows, always balancing bold ideas with ethical guardrails. We stay at the forefront of evolving legislation and regulation, ensuring our innovations protect consumers, brands, and the broader ecosystem while moving the industry forward responsibly. Latest posts