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How to build a stronger identity framework in a multi-signal world

Published: January 9, 2026 by Henry Schenker, Group Product Manager

At A Glance

The challenge facing marketers today is not the decline of a single identifier, but the fragmentation of signals across browsers, devices, apps and platforms. A resilient identity framework unifies these signals into a consistent, privacy-safe view of the consumer, allowing marketers to reach, measure and optimize across environments that expose different identifiers.

Why an identity framework matters more than any single identifier

The challenge facing marketers today isn’t a single identifier on a deprecation timeline; it’s the increasing fragmentation of signals and identifiers across browsers, devices, apps, and platforms. This shift introduces complexity into how audiences are reached and measured, as signals behave differently in every environment, and it becomes more complex to piece together a complete view of the consumer.

An icon of a house in the center with icons around it that represent a TV, mobile phone, shopping cart, and car with a man on the bottom left-hand side.

Each environment contributes to its own set of visibility gaps, making identity less predictable and more uneven. The result is a patchwork of inconsistent identity signals rather than a single, predictable decline.

While you can’t control how platforms evolve, you can control how you respond to fragmentation. The future won’t be defined by the loss of any single identifier, but by your ability to unify, interpret, and activate the many signals that remain. Marketers who adopt a flexible, identity framework will be best positioned to create consistency in an otherwise fragmented landscape.

At Experian, we believe flexibility starts with intelligence. For decades, we’ve used AI and machine learning to help marketers understand people’s behavior more clearly, respect their privacy, and deliver messages that drive business outcomes. Our technology brings identity, insight, and intelligence together, so even as the number of signals grows and becomes more varied across environments, marketers can reach the right people with relevance, respect, and simplicity. This intelligence acts as the connective tissue across fragmented ecosystems, ensuring marketers can recognize and reach audiences consistently wherever they appear.

What forces are driving fragmentation in identity and signals?

Changes to traditional IDs

Since Apple introduced App Tracking Transparency (ATT), access to the Identifier for Advertisers (IDFA) has become inconsistent across apps and devices. Google’s evolving Android privacy roadmap adds another layer of variability, fragmenting mobile addressability. Safari and Firefox have long restricted third-party cookies, while Chrome continues to support them for now. This creates different signal availability across browsers, contributing to an uneven and increasingly fragmented identity landscape on the open web.

Shifts in signals

IPv4 to IPv6 migration introduces mismatched identity structures that complicate continuity across environments.

Platform-driven fragmentation

Closed ecosystems and uneven adoption of evolving RTB standards (like OpenRTB 2.6 updates designed to support new identifiers and consent signals) create differences in which identifiers and consent signals are shared in the bidstream. At the same time, the rise of alternative or “universal” IDs—often developed by individual platforms, publishers, or technology companies—means that multiple ID types can appear within the same auction, each with its own structure, rules, and level of support. These differences reduce interoperability across platforms and contribute to a more fragmented activation landscape.

Each change creates an identity silo. Together, they form an ecosystem defined by fragmentation rather than absence. Without an identity framework, these environments operate as disconnected identity islands.

A multi-ID world requires a unified identity framework

Alternative IDs play an important role, but they also expand the number of signals marketers must reconcile. Without a consistent identity layer, more IDs often mean more complexity—not more clarity. Common alternative IDs in use today:

  • UID2: The Trade Desk’s Unified I.D. 2.0, an iteration of their original Unified ID 1.0, which was still reliant on third-party cookies, creates persistent IDs with user-provided email addresses and phone numbers.
  • ID5: This independent identity provider builds an identity infrastructure that powers addressable advertising across channels. It can create an ID based on both deterministic and probabilistic data.
  • Hadron ID: Hadron ID is a unique, interoperable identity system (including first-party, audience-based, contextual, deterministic, and probabilistic) developed by Audigent, now part of Experian, to drive revenue for publishers by making their audience data and inventory actionable for media buyers.

Industry reports suggest roughly one-third to two-fifths of open-auction traffic carries alternative IDs, sometimes multiple per request. Among Experian clients, adoption of alternative IDs rose 50% year over year, with a 30% increase in IDs resolved to individuals via our Digital Graph.

Identity isn’t disappearing; it’s multiplying. A modern identity framework resolves these identifiers into a single, privacy-safe consumer view.

Why CTV makes an identity framework essential

Beyond alternative IDs, device-level identifiers also play a major role in today’s ecosystem and add to the fragmentation marketers must navigate. Connected TV (CTV) environments introduce additional fragmentation.

CTV IDs

A CTV ID is an identifier used to deliver, target, and measure ads on CTV devices, including smart TVs, streaming devices, gaming consoles, and more. Unlike MAIDs, which act as universal device identifiers across apps, CTV environments often generate multiple, platform-specific IDs for the same physical device. Different operating systems, publishers, or streaming platforms may each assign their own identifier—such as Roku ID for Advertisers, Amazon Fire Advertising ID, Samsung TIFA, or Apple IDFA for CTV. As a result, a single household or TV can appear under several distinct IDs, making cross-app or cross-platform recognition more complex and further reinforcing the need for a unified identity framework.

Experian’s identity framework is powered by predictive and generative intelligence that makes resolution faster and more human-centered. Our AI models fill gaps where data signals are missing, infer behaviors responsibly, and continuously optimize for accuracy, so marketers can personalize ads responsibly, even in a fragmented ecosystem. More importantly, our framework normalizes signals across disconnected environments, creating a consistent identity spine that follows the consumer through their fragmented digital journey.

An identity framework connects online and offline signals

Fragmentation extends beyond digital environments. Marketers manage offline data from in-store transactions, loyalty programs, household identifiers, and phone numbers that rarely align cleanly with digital signals.

An icon of a woman in the center with icons around her for TV, mobile phone, email, and home.

As consumers move between online and offline touch points, an identity framework connects these signals into a coherent view of the individual. This foundation allows marketers to recognize the same consumer across environments that expose different identifiers.

Four keys to future-proofing your media with an identity framework

1. Know your customer: Unify and enrich your first-party data

First-party data is a marketer’s most durable asset, but it’s often scattered and incomplete.

  • Unify it: Bring CRM records, site interactions, and loyalty data into a single platform to build a holistic customer view. Use Offline Identity Resolution to resolve your first-party offline personally identifiable information (PII) back to a consolidated consumer profile, removing duplication of users in your data set.
  • Enrich it: Append Experian Marketing Attributes to uncover demographics, lifestyle markers, and purchase behaviors you can’t see on your own, and use Offline Identity Append to fill in missing offline data points (such as name, address, phone, etc.) to create a more complete and actionable customer profile.
Experian's Offline Identity Resolution, Marketing Attributes, and Offline Identity Append

This gives you richer profiles that drive more personalized targeting and messaging. Fragmented ecosystems make unified first-party data even more essential. A connected view allows marketers to anchor identity against a stable, proprietary foundation. As identifiers vary across environments, marketers need flexible, privacy-first ways to understand where their audiences are and how to reach them.

2. Find your customer: Expand how you discover and reach audiences in a fragmented landscape

As identifiers vary across environments, marketers need flexible, privacy-first ways to understand where their audiences are and how to reach them.

  • Contextual signals: Experian’s Contextually-Indexed Audiences map content to consumer insights, so you can target intent-rich environments.
  • Geographic insights: Our Geo-Indexed Audiences help you find regions that over-index for specific traits and activate them across your preferred platforms.
  • Syndicated and Partner Audiences: Choose from 3,500+ prebuilt segments or 30+ partner data sources spanning health, retail, travel, and more.
  • Curation: As a full-service curation partner, we enable private marketplace (PMP) deals that are privacy-safe, identity-agnostic, and performance-optimized.
Icons that represent Experian's Contextually-Indexed Audiences, Geo-Indexed Audiences, Syndicated Audiences, Partner Audiences, and Curation.

Together, these approaches help you confidently reach your audiences – using multiple types of signals that complement your identity strategy and create a clearer picture across fragmented environments.

3. Reach your customer: Maximize scale through interoperability

As signals and identifiers proliferate across environments, interoperability is essential to maintain consistent reach. Experian’s Offline and Digital Graphs unify disparate signals (MAIDs, CTV IDs, alternative IDs, IP, and more) so marketers can recognize and engage audiences reliably across channels, devices, and platforms.

An icon of a woman in a center circle with different cirlces around her with icons for a desktop computer, email, mobile phone, TV, laptop, and cookie.

Interoperability matters because it turns a collection of disconnected identifiers into a coherent identity framework that can actually be activated. The following capabilities demonstrate how that comes to life.

  • Unified identity: Create a consistent view of your audience, even when different environments expose different identifiers. Experian’s identity framework connects these signals into a single, actionable identity spine.
  • Expanded reach: OpenX enriched its supply-side identity graph with Experian’s audiences, making our data available directly across OpenX supply and formats. By matching more of the starting audience and identifying more users in the bidstream, marketers see higher match and activation rates, extending reach in hard-to-address environments like Safari and mobile web.

Measure success: Optimize based on outcomes

If you can’t measure your marketing, you can’t improve it. Experian Outcomes, powered by our holistic understanding of the user across online and offline touch points, closes the loop by connecting media exposures to real-world actions (store visits, purchases, or site conversions).

An icon of a person with graphs and charts on their left and right sides.

With these insights, you can:

  • Prove ROI across digital and TV
  • Attribute success to the right channels and tactics
  • Continuously refine targeting, creative, and spend allocation

Outcome-based measurement makes your strategy adaptive, so dollars flow to what drives results.

As signals multiply across environments, connecting exposures to outcomes requires a unified identity foundation. Experian closes the loop by unifying exposures across disconnected touch points, enabling holistic attribution and optimization. Our AI-powered simplicity drives continuous improvement. From predictive modeling to agentic workflows that automate optimization, we’re investing in generative AI to help marketers spend less time on manual setup and more time on strategy and outcomes.

The Experian identity framework advantage

Experian connects fragmented signals into a single, actionable identity framework built for long-term resilience.

What our identity framework delivers

  • Interoperability: We support all major identifiers, including alternative IDs, IP address (v4 and v6), contextual signals, and both first- and third-party data.
  • Flexibility: Whether you’re activating syndicated audiences, tapping into partner audiences from 30+ data providers, or curating custom segments through Audigent, our solutions meet you where you are.
  • Scale: With four billion IDs resolved in our Digital Graph and 280 million telephones in our Offline Graph, we deliver unmatched reach across digital and offline environments.
  • AI that makes marketing more human: We bring together identity, insight, and automation through responsible AI, helping marketers see audiences clearly, act with intelligence, and optimize with respect for privacy.

Our approach is delivering results across a range of programmatic players. These outcomes demonstrate how a unified identity framework delivers performance in environments where signals, identifiers, and devices operate in silos.

Proven results powered by Experian’s identity framework

  • Sonobi increased programmatic addressability across the mobile web by 25% and delivered a 20% lift in impression value through our identity graph, driving stronger campaign connections and greater publisher returns.
  • One DSP used our Digital Graph to match more MAIDs, CTV IDs, and IP addresses to online conversions, enabling increased accuracy of their attribution and measurement. They achieved an 84% synced ID rate and a 9% increase in match rate.
  • For Cuebiq, we significantly increased match rates and resolved data from cookieless environments, such as Safari. By combining separate data streams and resolving 85% of total events to a household, Cuebiq expanded on the household IDs to identify MAIDs that are observed in-store, enabling accurate cross-channel measurement.
  • Our Digital Graph allowed MiQ and their clients to expand the reach of their seed audiences across devices by 51% and cookieless IDs by 64%. As a result, MiQ can provide marketers with future-proofed connected planning, advanced targeting, and precise measurement.

We’re your partner in building identity framework that lasts: resilient to change, adaptive to new signals, and focused on outcomes.

What comes next for signals and identity?

The future isn’t defined by any single identifier. It’s defined by the ability to unify and activate across a fragmented identity ecosystem. The winners will be those who adopt interoperable, outcome-driven identity frameworks today.

Those strategies will increasingly be powered by responsible AI, systems that simplify workflows, predict opportunity, and optimize in real time while keeping people at the center. At Experian, we see AI not as automation for its own sake, but as a way to make marketing more human, relevant, and respectful.

Your playbook for navigating fragmentation

Experian connects the fragmented identity ecosystem, unifying alternative IDs, IP signals, contextual data, and first- and third-party assets into a consistent, actionable identity foundation. With proven lift across partners like Sonobi and new offerings like Contextually-Indexed Audiences, we help you build campaigns that perform in a fragmented landscape.

Download our 2026 Digital trends and predictions report to explore how identity, interoperability, and measurement will define the future of advertising.


About the author

Henry Schenker, Group Product Manager, Experian

Henry Schenker

Group Product Manager, Experian

Henry has nearly 15 years of experience in Digital Advertising, Social Media Marketing, Data Licensing & Analytics, Front-End Engineering, Technical Architecture & Integrations, Profit & Loss Management, and Enterprise-Level Contract Negotiation across the U.S., EMEA, and Asia Pacific regions.

Prior to re-joining Experian, Henry held critical go-to-market and product roles at noted industry-disruptors Media.Monks and Attain. From 2018 – 2020, he served as the Vice President, APAC of Innovid (now publicly traded, NYSE:CTV), leading the company’s expansion into Japan, Singapore, and Australia. The preceding 4 years with Tapad (acquired by Experian), allowed Henry to become a seasoned Sales Engineer, grow and lead a global Technical Integrations team, and relocate to Singapore, leading sales and operations in the APAC region. Before beginning his career and learning front-end engineering on-the-job at Wyng (formerly Offerpop), Henry received a dual-major (BA/BS) in Sociology and Economics & Finance from Bard College in New York.


FAQs

Why is signal and identity fragmentation increasing across digital and offline channels?

Signal and identity fragmentation is increasing across digital and offline channels because consumers now engage across more devices, platforms, and environments. Each environment introduces its own identifiers and privacy rules. This growth creates more signals overall, which increases the need for unification rather than reliance on a single ID.

How should marketers think about alternative IDs in a multi-signal ecosystem?

Alternative IDs add reach and coverage when they connect through a common identity framework. They work best alongside first-party data, device identifiers, and contextual signals. Resolution turns multiple IDs into one consistent view of the consumer.

What role does unified identity play in CTV and cross-device media?

CTV environments often assign multiple platform-specific identifiers to the same household or device. A unified identity layer links those identifiers together. This approach supports consistent audience recognition across streaming apps, devices, and digital channels.

How does unified identity support accurate measurement and attribution?

Unified identity connects media exposure to outcomes across digital, TV, and offline touch points. It enables marketers to see how different channels contribute to real actions like visits or purchases. Measurement improves when identity remains consistent across the full journey.

Why does an identity strategy matter beyond digital advertising?

Identity extends into offline signals such as transactions, loyalty activity, and household data. A unified foundation aligns online and offline interactions into one coherent profile. This connection supports planning, activation, and measurement across the entire customer experience.


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These behaviors create more micro-moments: quick, intent-driven decisions shaped by life stage, financial mindset, household composition, real-time signals, and micro-behaviors like quick trips, small-basket missions, and mobile search checks. Meeting consumers in these moments requires contextual relevance, not broad targeting. How marketers should respond to this trend Experian helps you act on omnichannel and micro-moment behavior by unifying identity and audiences across: CMNs CTV Social platforms Programmatic partners Retail media publishers In-store digital environments Meanwhile, our audience assets give you the contextual accuracy these moments demand with: Geo-indexed spenders to understand financial posture and neighborhood patterns Generational household segments to reflect digital comfort and shopping rhythms Lifestyle and interest indicators aligned to real-life needs In-market and behavioral signals to reach consumers at the moment intent appears With privacy-first identity resolution anchoring it all, your brand can deliver consistent sequencing, informed personalization, and accurate measurement across channels. This is essential when omnichannel is the expectation and micro-moments decide who wins the sale. As these real-time behaviors shift, generational differences will further shape how consumers navigate channels, interpret value, and decide which brands earn their loyalty. What’s new with Experian Marketing Data? Explore hundreds of new and updated segments now available — auto, income, lifestyle, spend, TV, and more. Syndicated Audiences Marketing Attributes How are generational shifts shaping 2026 consumer behavior? Generational dynamics are also likely to play a significant role in how people discover, evaluate, and buy in 2026. While every age group is prioritizing value, simplicity, and trust, they express these priorities differently. Experian’s Syndicated Audiences updated for November 2025 include 61 new demographic segments — broken out by generation, income band, gender, and urbanicity — to help you reach each group with accuracy. These segments are informed by decades of responsible automation and predictive modeling, giving you a clearer view of how each group behaves, even as signals shift. For example, a retail brand can use the Gen X Dual-Income Households segment to reach value-driven, digitally engaged shoppers, while another brand might activate Millennial Urban Professionals to tailor offers based on lifestyle, income, or urbanicity. Here’s how key generations will shape buying and the Experian segments that can help you act on these customer insights. Gen Z expects transparency, authenticity, and digital ease Values: Transparency, authenticity, responsible data use Digital behavior: Always-on, mobile-first, social and creator-influenced Decision drivers: Trust, clarity, seamless digital experiences Relevant Experian segments: Gen Z Urban Households, Gen Z Renters Millennials seek value alignment, financial flexibility, and reliability Values: Fair pricing, quality, reliability Digital behavior: Efficiency-focused omnichannel shoppers Decision drivers: Time savings, cost relief, trust Relevant Experian segments: Millennial Urban Professionals, Millennial Parents Gen X is increasingly digital, highly value-conscious, and loyal Values: Reliability, clarity, long-term value Digital behavior: Digitally engaged but friction-averse Decision drivers: Practicality, stability, predictable service Relevant Experian segments: Gen X Dual-Income Households As these generational differences shape how people discover, evaluate, and buy, one theme unites every age group: trust now determines whether a brand earns attention, data, and loyalty. With today’s consumers scrutinizing how their information is used, that trust might just be what helps you succeed in 2026. Why is trust the new currency in data-driven marketing? In 2026, trust will differentiate the brands that flourish. Consumers want: Clear data practices Transparent value exchanges Confidence that brands are honoring their preferences And as signals decline, first-party data strategies supported by privacy-first identity resolution and responsible automation have become the reliable, transparent foundation for trust-driven marketing. Experian’s long-standing focus on data accuracy, modernization, and compliance — from quarterly releases and updates to our twice-yearly attribute retirement process — ensures you activate with the most current, ethical, and regulation-aligned data available. These practices strengthen consumer trust and drive more accurate targeting, better match rates, and measurable performance across channels. This focus on accuracy, governance, and transparency also underpins Experian’s approach to ethical AI, ensuring innovations serve people first while giving you confidence in every decision. How can marketers apply 2026 consumer insights today? As trust becomes the deciding factor in whether consumers engage, share data, or stay loyal, marketers need clear ways to operationalize that trust. Fortunately, the insights shaping 2026 translate directly into practical actions your team can take right now. Here’s where you can start: Audit your first-party data strategy and CRM hygiene Invest in scalable, privacy-first identity resolution Tailor messaging to financial attitudes, not just demographics Use Experian’s audience segments to match consumer values, generational traits, and urbanicity Build journey-based activation across mobile, CTV, social, and CMNs Implement measurement and closed-loop analytics so every activation feeds intelligence back into planning Evaluate where predictive insight and responsible automation can reduce manual work and improve outcomes With Experian, you can reach the right people with the right message at the right moment with accuracy they can trust. Teams gain the predictive insight and responsible automation needed to act on these shifts at scale. Looking for more insights into the year ahead? If you’re planning for 2026, consumer behavior is just the starting point. Experian’s 2026 Digital trends and predictions report takes you deeper into the forces reshaping marketing — from AI moving from hype to implementation and the evolution of commerce media beyond retail. Explore Experian’s 2026 Digital trends and predictions report What role does Experian play in helping brands activate data-driven marketing? As you put these 2026 consumer insights into practice, the challenge becomes turning strategy into scaled, privacy-safe execution. Experian’s data, identity, and activation infrastructure can make the difference: Identity as the foundation: Connect first-party data to 95% of U.S. households for a unified, privacy-first view. Privacy-first activation: Engage audiences safely across every channel with compliant targeting. Actionable data depth: Combine demographic, behavioral, contextual, and household-level attributes to enrich insights. Omnichannel reach: Activate at scale across CTV, CMNs, social, programmatic, and in-store environments. Closed-loop measurement: Tie exposure to outcomes across channels, enabling more effective optimization and continuous improvement. These capabilities provide your brand with the clarity, confidence, and control necessary for future success — powered by Experian’s human-centered approach to AI, which combines privacy-first clarity, predictive insight, AI-powered simplicity, real-time intelligence, and transparent innovation to deliver trust, accuracy, and measurable performance in 2026. Build your 2026 strategy with data you can trust Those who win in 2026 will be the ones who turn shifting consumer behavior into actionable intelligence rooted in trusted identity, accurate data, and measurement that proves what works. With economic caution shaping decisions, rising privacy expectations, and omnichannel journeys becoming the norm, brands that invest now in a strong data and identity foundation will be the ones that stay visible, relevant, and resilient. Experian gives you that foundation by unifying identity, high-quality data, activation, and closed-loop measurement through a human-centered approach to AI. With privacy-first clarity, predictive insight, AI-powered simplicity, real-time intelligence, and transparent innovation, Experian helps you understand your audiences deeply, reach them responsibly, and adapt in real time as the market evolves. 2026 is coming fast. Now’s the moment to build a high-performance strategy. Connect with us FAQs What are the biggest consumer trends for 2026? The biggest consumer trends for 2026 revolve around intentional spending, value-conscious choices, low-effort experiences, and personalization that feels transparent and trustworthy. Consumers are cautiously optimistic but still managing tight budgets, prioritizing essentials, and gravitating toward brands that simplify decisions with clear value and relevant experiences that meet them across channels. Personalization remains a differentiator when it’s rooted in responsible data use and clear benefits. How can marketers use 2026 consumer insights to drive next year’s strategies? You can use 2026 consumer insights to identify your highest-opportunity audiences, match your messaging and offers to their financial reality and values, and build journey-based activation across channels instead of working in silos. Experian’s identity graph and audiences help you connect online and offline behavior into a single, actionable view. How does Experian’s identity graph help marketers in 2026? Experian’s identity graph helps marketers in 2026 by providing a privacy-first, unified view of consumers across channels, connecting first-party data to 95% of U.S. households. This allows you to recognize individuals and households accurately, enrich their data with reliable attributes, and activate personalized experiences across digital, CTV, and CMNs with confidence.The result is better targeting, higher match rates, and more consistent, relevant engagement at every touchpoint. All of this is further strengthened by Experian’s human-centered approach to AI, which enhances clarity, accuracy, and real-time relevance. What is "privacy-first" marketing, and why is it important in 2026? Privacy-first marketing uses consumer data responsibly and transparently to improve the customer experience. In 2026, consumers still want personalization but are more selective about how their data is used.With privacy-first marketing, you build trust by explaining why data is collected, giving people control, and personalizing only with consented, high-quality data. Experian supports this through our Responsible Data Practices, which prioritize fairness, accuracy, transparency, security, and inclusion. Latest posts

Dec 11,2025 by Experian Marketing Services

A deep dive with an Experian partner, Madhive

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

Dec 05,2025 by Experian Marketing Services

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About Experian Marketing Services

At Experian Marketing Services, we use data and insights to help brands have more meaningful interactions with people. As leaders in the evolution of the advertising landscape, Experian Marketing Services can help you identify your customers and the right potential customers, uncover the most appropriate communication channels, develop messages that resonate, and measure the effectiveness of marketing activities and campaigns.

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