Audio platforms that overcome consumer identity challenges are winning new advertisers and driving higher ROAS. In this article, you’ll hear from leading audio platforms that are solving these challenges—and seeing results.
Digital audio is evolving fast. What was once a niche channel of host-read sponsorships and direct buys is now a must-have in the modern media mix. Streaming platforms, podcasts, and digital radio are drawing more ad dollars thanks to audio’s ability to capture attention and connect with listeners.
But with growth comes new pressure. Advertisers expect accuracy, scale, and to see results. At the same time, listeners want more relevant content and more personalized ad experiences. That’s where identity becomes essential.
With Experian’s identity and audience solutions, audio platforms can:
- Bolster addressable audience targeting and personalization capabilities.
- Gain a comprehensive view of listeners’ digital identity to reach audiences across channels.
- Better understand consumer preferences, enabling advertisers to reach audiences with greater accuracy.
- Enhance the listening experience with more relevant content.
Let’s break down the key challenges in audio—and how Experian can help solve them.
Challenge 1: Anonymous listening limits addressability
Most listening happens in environments where people aren’t logged in—via apps, smart speakers, and mobile devices. Without logged-in data, platforms struggle to know who’s listening and advertisers are unable to reach those anonymous listeners who don’t have an addressable ID.
To overcome the identity gap in unauthenticated listening environments, leading audio platforms are turning to partners that connect fragmented signals—like device type, location, and behavioral patterns—to broader household and individual profiles. By using hashed emails and other alternative identifiers, platforms can begin to make anonymous sessions more addressable. This increase in addressability ensures the platform’s entire userbase can be reached, which leads to an increase in revenue.
Experian’s solution
Experian’s identity spine, comprised of our Digital and Offline Graphs, helps you recognize listeners even when they’re outside your ecosystem. Platforms like Audacy are already leading the way. By integrating Experian’s Digital Graph, they’re gaining a more complete view of listeners’ digital identifiers—enhancing the experience across their app and website. With a better audience understanding, Audacy can deliver personalized content while helping advertisers reach specific groups with greater accuracy.
Challenge 2: IP-based targeting falls short
Audio has traditionally relied on IP addresses, but that’s no longer enough. A single IP could represent an entire household—or a public setting like a coffee shop. It’s not precise.
Forward-thinking platforms are moving beyond IP-based targeting by integrating identity resolution technologies that combine household-level data with device-level intelligence. These solutions help distinguish between shared devices and individual listeners, allowing advertisers to serve more relevant messages without over-reliance on a single signal like an IP address. This layered approach improves precision—especially in dynamic listening environments like vehicles or communal spaces.
Experian’s solution
Our identity spine links home IPs to households, then connects them to specific devices and individuals. This helps platforms move beyond basic IPs and target real people based on accurate signals—even in shared listening environments like smart speakers and cars.
We also help platforms and advertisers integrate alternative IDs—like Unified I.D. 2.0 (UID2)—into their programmatic audio campaigns. That means more reach, without compromising consumer trust.
Challenge 3: Audio buying is fragmented
From podcasts to streaming to radio, audio lacks consistency in how inventory is packaged and bought. It’s hard for advertisers to run scaled campaigns across channels—and harder still to measure performance.
Plus, advertisers don’t think in silos—they think in strategies. If audio can’t connect to their display, connected TV (CTV), and social buys, it loses ground. What they need is a way to define audiences once and activate everywhere.
To reduce friction in audio ad buying, platforms are investing in infrastructure that unifies audience insights across formats. By building a centralized view of the listener—regardless of whether they’re tuning in via podcast, stream, or radio—publishers can offer advertisers consistent targeting parameters, clearer reporting, and better campaign orchestration. Identity graphs and audiences are playing a growing role in streamlining this complexity and unlocking scale.
Experian’s solution
Experian helps simplify audio buying. Experian audiences are built on top of our identity graph and are expanded to a deep set of digital identifiers, ensuring accuracy, scale and maximum addressability across channels. Platforms can blend their first-party data with advertiser data and our audiences—then deploy those audiences onsite or activate programmatically across open web and CTV.
DAX is doing just that. DAX’s partnership with Experian combines Experian’s 2,400+ audiences for targeting and activation with DAX’s innovative audio advertising approach. We’re helping advertisers connect with passionate and engaged listeners nationwide.
“Through our partnership with Experian Marketing Services, advertisers can unlock deeper audience insights and execute more impactful digital audio campaigns. By combining our shared market presence, knowledge, and forward-thinking approach, we’re strengthening our digital audio network offering and delivering value to all our advertising partners.”
Brian Conlan, President of DAX United States
Watch our identity-driven audio panel from our Curated Couch at CES 2026
In addition to integrating Experian’s Digital Graph, Audacy is also integrating Experian’s syndicated audiences to unlock accurate insights like demographics, shopping behavior, and interests – providing listeners with a more personalized advertising experience and advertisers with a higher return on investment.
Privacy is non-negotiable
Everything we do is privacy-forward by design. Backed by Experian’s Global Data Principles and decades as a regulated institution, we rigorously vet every data source to ensure compliance with all federal and state laws.
Build an audio strategy that performs with Experian
Your advertisers want more from their audio investments. With Experian, you can give it to them. We help you:
Audio has always been a powerful way to connect. Now, it’s ready to perform.
Let’s connect
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In our Ask the Expert series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts
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