At A Glance
Curation is changing how media is bought and sold, moving beyond open auctions and static site lists to more efficient deals. By combining unique data, real-time supply connections, and continuous optimization, curated PMPs reduce waste and improve results. Audigent's, a part of Experian, solutions help marketers achieve measurable outcomes with curated strategies that deliver better targeting, higher engagement, and improved ROI.If you buy media today, you’re already feeling the shift: the best results don’t always come from broad, open auctions or static “safe site” lists; they’re coming from deals that combine the right data with the right inventory and let algorithms optimize in real time. That’s curation. And when it’s done right, it reduces data and media waste for buyers and raises eCPMs (effective cost per thousand impressions) and win rates for publishers.
As part of our Cannes Content Studio series, leaders from Butler/Till, Index Exchange, OpenX, PubMatic, and Yieldmo discuss how curation cuts waste and lifts results.
What is real curation?
Real curation isn’t “packaging inventory.” It’s a strategic framework built on three pillars:
Why it matters: Manual approaches hit a ceiling. They can’t react quickly to shifting content, identity signals, or auction dynamics. That’s where technology partners come in, keeping the optimization loop running continuously.
Intelligence at every touchpoint
Curation isn’t about shifting control between platforms. It’s about better brand decisions, connecting opportunity-rich supply to the brand’s preferred buying platform and enriching each buy with audience data.In practice, supply-side platforms (SSPs) are ingesting richer signals to route inventory more effectively and support frequency caps and deal prioritization, in collaboration with demand-side platforms (DSPs).
“I think we’re seeing a shift toward bringing more DSP capabilities into the SSP, like supply-side targeting and data driven curation. Advancements in areas like CTV are enabling targeting based on content signals, and SSPs are pulling in more data to inform which supply is sent to the DSP, helping with things like frequency caps.”
OpenXMatt Sattel
Why page-level targeting beats static lists
Static domain lists were a useful first step for quality control. The intent was sound, but the approach was too cumbersome for today’s signal-rich buying. Today, AI and contextual engines read the page, not just the site, and adapt in real time.
Page-level logic delivers three key benefits:
- Accuracy by targeting high-intent, page-level content.
- Relevance by matching the creative to both the content and the audience context.
- Speed by enabling campaigns to move away from underperforming pages in real time, without waiting for a manual trafficking change.
“AI-driven contextual engines evaluate the page, not just the domain, to curate inventory in real time. That moves curation from static allowlists to adaptive logic for greater accuracy, relevance, and speed.”
YieldmoSophia Su
Partnerships broaden who influences the buy
Curation works when publishers, agencies, data partners, and platforms share signals and KPIs.
- Horizontal curation (across multiple SSPs) assembles broader, higher-quality reach and resilience, ideal for scale and diversity of supply.
- Vertical curation (an SSP’s in-house product) provides deep controls within a single exchange, useful for specific inventory strategies.
- Creative and data now shape supply and demand: better creative decisioning, tested against richer signals, improves outcomes.
DSPs remain central for activation and pacing. But the sell-side’s growing intelligence means more accurate inventory routing and signal application before a bid ever fires.
“Curation will continue to evolve through deeper data partnerships and expanded use across publishers and agencies, with more sophisticated types of optimization. DSPs will remain critical to activation, even as sell-side decisioning plays a larger role in identifying and shaping the supply to select.”
Index ExchangeMike McNeeley
Curation delivers access and measurable performance
Here’s what curated deals are delivering.
For buyers
| Result | Type of result |
| 36-81% | savings on data segments |
| 10-70% | lower cost per click (CPCs) |
| 1.5-3x | higher click-through rates (CTRs) |
| 10-30% | higher video completion rates |
For publishers
| Result | Type of result |
| 20% | bid density |
| 118% | win rate |
| 10% | revenue on discovered inventory |
| 25% | eCRM on incremental impressions |
Why it works: When data, supply, and optimization are integrated, you reduce waste, surface better impressions, and let algorithms compound your advantage. That’s why curated private marketplaces (PMPs) have grown at ~19% compound annual growth rate (CAGR) since 2019.
“Publishers using supply-side curation see ~15% more diverse buyers and 20–25% better performance than buy-side-only targeting. Smarter packaging and signal application tighten auctions and strengthen outcomes.”
PubmaticHoward Luks
Holistic curation streamlines planning and outcomes
Curation adds the data layer earlier in the buying process, starting at the supply-side. This creates more opportunities to reach the right audience and improves scale and performance. By replacing multiple line items with a single curated deal, campaign setup becomes faster and less error-prone. Curated deals also simplify measurement by including the necessary context for accurate attribution, while dynamic adjustments ensure campaigns remain optimized without requiring manual updates.
“Publishers using supply-side curation see ~15% more diverse buyers and 20–25% better performance than buy-side-only targeting. Smarter packaging and signal application tighten auctions and strengthen outcomes.”
Butler/TillGina Whelehan
It’s much more streamlined, bringing more pieces together so we’re thoughtful and holistic. Adding the audience and data element creates more scale and strategy in how we curate supply and data, and ultimately better results for clients.
The bottom line
Curation has matured from buzzword to performance system. DSPs still anchor activation and pacing, but better sell-side pipes now pre-route inventory and apply signals before any bid starts, making the whole system faster and more accurate. When you combine unique signals, tight supply connections, and always-on optimization, you gain addressability, reduce waste, and achieve better business outcomes for both buyers and sellers.
Curation isn’t just a trend; it’s where programmatic advertising is headed. Start testing curated PMPs today to see the difference for yourself.
Explore curated PMPs with Audigent
Curation FAQs
Curation in performance marketing is the process of combining data, inventory, and optimization to deliver better results. Audigent supports curated strategies through privacy-safe data and advanced integrations.
Curation reduces wasted spend by targeting high-quality impressions and optimizing campaigns in real time. Audigent’s solutions help marketers achieve higher click-through rates, lower costs, and better engagement across channels.
Curated PMPs are deals that use curated data and inventory to deliver measurable results. They help buyers save on data costs, improve ad performance, and achieve better video completion rates, while publishers see higher win rates and revenue.
Audigent provides unique data assets, privacy-safe integrations, and optimization tools that help marketers and publishers create curated deals. Our solutions ensure campaigns are more efficient, targeted, and effective from start to finish.
Horizontal curation combines inventory across multiple platforms for broader reach and diversity, while vertical curation focuses on deep control within a single platform. Both approaches can be tailored to specific campaign goals with Audigent’s expertise.
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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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