Curation — the intelligent packaging of data and inventory actionable in a private marketplace deal — can no longer be considered a trend or buzzword. With over 66% of all open exchange – representing $100 billion in annual spend – being transacted through private marketplace deals (PMPs), curation is a key part of how data and identity are addressed and actioned in programmatic media.
Programmatic advertising is certainly known for big shifts, but as shared by Index Exchange CEO Andrew Casale, “Curation will be bigger than header bidding and as big as programmatic or real-time bidding (RTB) – that’s our bet.” And we agree. But why has curation become a critical component of brands and media agencies’ digital advertising strategies?
Put simply, the math. Case study after case study empirically shows curation performs well for both the buy and sell-sides.
For media agencies and brands, curation consistently shows four main benefits:
Significant cost efficiencies
Buying curated PMPs shows significant cost efficiencies when compared to buying data from the buy-side alone.
Strong performance
Data-enriched, curated PMPs can be optimized through the supply path, unlike a data management platform (DMP) segment, which leads to strong performance.
Futureproofs media buying
When data is curated through the supply path, it does not need to rely on legacy identifiers (like cookies), and the door is open to robust, next-gen addressability which better futureproofs media buying opportunities.
Value-added insights
Curation comes with robust log-level data that can be used for value-added data science including analytics, insights, reporting, and attribution – all critical in a world where addressability and identity resolution are becoming even more challenging.
Curation introduced efficiency into homeopathic brand Boiron’s media buys, reducing the brand’s data costs by 30%, which enabled the brand to reinvest the same budget in brand awareness goals. Curation not only met but also exceeded the CPA for display by 82% and for video by 41%.
“Audigent has been a top 5 performer in terms of CPA during our testing, helping our teams deliver 44% more efficient spend for brands across CTV campaigns.”
Sam Bloom, Head of Partnerships at agency PMG
A big boost for addressability
Legacy identity signals are changing. Whether it’s by browser, device, or platform, both buy-side and sell-side platforms need strong identity signals to reach their intended audiences, and this has become harder than ever before.
Curation, with its real-time data connection and enrichment capabilities, solves signal loss challenges by directly connecting to the supply path and using a broader spectrum of identity solutions to boost addressability. Curation allows platforms to target first-party, third-party, contextual, indexed and modeled audiences. This alleviates the dependence on any one identifier and boosts the relevant bidding opportunities for brands and media agencies to target audiences.
Not all curation is created equally
As with any hot innovation, AdTech is notorious for companies jumping on the bandwagon of the largest trends.Curation is no different, with seemingly everyone now claiming to be a “curator.” As the industry works to define what is and isn’t “curation,” we are uniquely positioned to define this as Audigent has pioneered curation for seven years and is the industry leader.
The definition of curation is the intelligent packaging and optimization of data curated against the inventory supply path. There are three definitional elements to any curation product:
Unique audience data
Curation must include first-party, third-party, contextual, indexed and/or modeled data.
Robust SSP integration
To apply data in real-time to the inventory supply path, a curator must have deep partnerships and integrations that enable the combination of data and inventory into a single package.
Optimization
The whole point of curating data against the supply path is that it opens the door for robust real-time optimization to drive performance.
If the solution ticks all three boxes, then brands and agencies should test curation and gauge its results firsthand.
Curation done right drives results for brands, agencies, and publishers
When done well, curation improves media buying efficiency and performance for brands and agencies. Importantly, it also drives results for publishers and content creators.
- Advertisers realize average data segment savings of 36-81% when using PMPs over the open exchange (Internal data)
- Advertisers see 10-70% lower CPC, 1.5x-3.0x higher CTR, and 10-30% higher video completion rate when using data-enriched PMPs over the open exchange (Internal data)
- When including their inventory in curated PMPs, publishers see an average 70% revenue uplift for mobile and 13% for connected TV (CTV)
Beyond voting with budgets, media agencies and brands are also weighing in on the curation conversation:
“Our Conditions Marketplace strategies have driven a 48% improvement in eCPM and a 26% improvement in CPA across our pharma client portfolio as of May 2024. For one client, we saw ROAS improve by 58% compared to their overall omnichannel performance while maintaining quality. These results aren’t outliers—they’re proof that curation is no longer a nice-to-have; it’s a must-have for marketers who want performance, precision, and scale working in lockstep.”
Amanda DeVito, Butler/Till
Industry-leading curation with Experian
Tapping into an end-to-end solution that enables marketers to understand and reach their desired customers across channels through curation is a win-win for all parties.
In the past three years, Experian and curation company Audigent have delivered a range of industry-leading innovations together, including the integration of Experian data into Audigent’s PMPs. As one company now, Experian’s unique identity and data capabilities amplify how curation activates on the buy-side at scale, setting a new standard for audience targeting with added benefits like audience customization and flexible activation through Audigent’s PMPs or demand-side platforms.
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Originally appeared on MarTech Series Marketing’s understanding of identity has evolved rapidly over the past decade, much like the shifting media landscape itself. From the early days of basic direct mail targeting to today's complex omnichannel environment, identity has become both more powerful and more fragmented. Each era has brought new tools, challenges, and opportunities, shaping how brands interact with their customers. We’ve moved from traditional media like mail, newspapers, and linear/network TV, to cable TV, the internet, mobile devices, and apps. Now, multiple streaming platforms dominate, creating a far more complex media landscape. As a result, understanding the customer journey and reaching consumers across these various touchpoints has become increasingly difficult. Managing frequency and ensuring effective communication across channels is now more challenging than ever. This development has led to a fragmented view of the consumer, making it harder for marketers to ensure that they are reaching the right audience at the right time while also avoiding oversaturation. Marketers must now navigate a fragmented customer journey across multiple channels, each with its own identity signals, to stitch together a cohesive view of the customer. Let’s break down this evolution, era by era, to understand how identity has progressed—and where it’s headed. 2010-2015: The rise of digital identity – Cookies and MAIDs Between 2010 and 2015, the digital era fundamentally changed how marketers approached identity. Mobile usage surged during this time, and programmatic advertising emerged as the dominant method for reaching consumers across the internet. The introduction of cookies and mobile advertising IDs (MAIDs) became the foundation for tracking users across the web and mobile apps. With these identifiers, marketers gained new capabilities to deliver targeted, personalized messages and drive efficiency through programmatic advertising. This era gave birth to powerful tools for targeting. Marketers could now follow users’ digital footprints, regardless of whether they were browsing on desktop or mobile. This leap in precision allowed brands to optimize spend and performance at scale, but it came with its limitations. Identity was still tied to specific browsers or devices, leaving gaps when users switched platforms. The fragmentation across different devices and the reliance on cookies and MAIDs meant that a seamless, unified view of the customer was still out of reach. 2015-2020: The age of walled gardens From 2015 to 2020, the identity landscape grew more complex with the rise of walled gardens. Platforms like Facebook, Google, and Amazon created closed ecosystems of first-party data, offering rich, self-declared insights about consumers. These platforms built massive advertising businesses on the strength of their user data, giving marketers unprecedented targeting precision within their environments. However, the rise of walled gardens also marked the start of new challenges. While these platforms provided detailed identity solutions within their walls, they didn’t communicate with one another. Marketers could target users with pinpoint accuracy inside Facebook or Google, but they couldn’t connect those identities across different ecosystems. This siloed approach to identity left marketers with an incomplete picture of the customer journey, and brands struggled to piece together a cohesive understanding of their audience across platforms. The promise of detailed targeting was tempered by the fragmentation of the landscape. Marketers were dealing with disparate identity solutions, making it difficult to track users as they moved between these closed environments and the open web. 2020-2025: The multi-ID landscape – CTV, retail media, signal loss, and privacy By 2020, the identity landscape had splintered further, with the rise of connected TV (CTV) and retail media adding even more complexity to the mix. Consumers now engaged with brands across an increasing number of channels—CTV, mobile, desktop, and even in-store—and each of these channels had its own identifiers and systems for tracking. Simultaneously, privacy regulations are tightening the rules around data collection and usage. This, coupled with the planned deprecation of third-party cookies and MAIDs has thrown marketers into a state of flux. The tools they had relied on for years were disappearing, and new solutions had yet to fully emerge. The multi-ID landscape was born, where brands had to navigate multiple identity systems across different platforms, devices, and environments. Retail media networks became another significant player in the identity game. As large retailers like Amazon and Walmart built their own advertising ecosystems, they added yet another layer of first-party data to the mix. While these platforms offer robust insights into consumer behavior, they also operate within their own walled gardens, further fragmenting the identity landscape. With cookies and MAIDs being phased out, the industry began to experiment with alternatives like first-party data, contextual targeting, and new universal identity solutions. The challenge and opportunity for marketers lies in unifying these fragmented identity signals to create a consistent and actionable view of the customer. 2025: The omnichannel imperative Looking ahead to 2025 and beyond, the identity landscape will continue to evolve, but the focus remains the same: activating and measuring across an increasingly fragmented and complex media environment. Consumers now expect seamless, personalized experiences across every channel—from CTV to digital to mobile—and marketers need to keep up. The future of identity lies in interoperability, scale, and availability. Marketers need solutions that can connect the dots across different platforms and devices, allowing them to follow their customers through every stage of the journey. Identity must be actionable in real-time, allowing for personalization and relevance across every touchpoint, so that media can be measurable and attributable. Brands that succeed in 2025 and beyond will be those that invest in scalable, omnichannel identity solutions. They’ll need to embrace privacy-friendly approaches like first-party data, while also ensuring their systems can adapt to an ever-changing landscape. Adapting to the future of identity The evolution of identity has been marked by increasing complexity, but also by growing opportunity. As marketers adapt to a world without third-party cookies and MAIDs, the need for unified identity solutions has never been more urgent. Brands that can navigate the multi-ID landscape will unlock new levels of efficiency and personalization, while those that fail to adapt risk falling behind. The path forward is clear: invest in identity solutions that bridge the gaps between devices, platforms, and channels, providing a full view of the customer. The future of marketing belongs to those who can manage identity in a fragmented world—and those who can’t will struggle to stay relevant. 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