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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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 Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts
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