What makes an ad impression valuable to an advertiser? The inventory where an ad appears, the audience it reaches, or its potential to contribute to a business outcome?
The answer often involves all three. Yet curation is frequently discussed in terms of site lists, audience segments, and deal IDs. These play an important role, but they don’t tell the full story of the intelligence and decisioning required to evaluate supply and media opportunities.
Advertisers want to reach relevant audiences across quality inventory, make efficient use of their media investments, and achieve measurable business outcomes. Meeting those goals requires connecting the right identity, consumer intelligence, technology, and optimization closer to the source of each impression. Making decisions too late in the transaction can mean missing more effective, direct, or cost-efficient paths to an advertiser’s target audience.
The four pillars of effective curation
Curation works best when four capabilities come together to connect advertiser objectives with relevant media opportunities.
1. Identity makes data useful across environments
Advertisers know their customers, publishers know their audiences, supply-side platforms (SSPs) understand their inventory and traffic, and demand-side platforms (DSPs) bring knowledge of campaign goals. Data partners add behavioral insights. Each may use different identifiers, making it harder to recognize the same person or household consistently across the ecosystem.
Identity provides a shared foundation for connecting these signals. A trusted, widely adopted identity graph can link permitted identifiers to a consistent view of people and households across participating ecosystem partners. This allows advertiser, publisher, and audience data to work together under appropriate privacy controls to inform media decisions.
When that identity foundation is available through real-time integrations, audience signals can be interpreted more effectively as media opportunities arise. Decisioning can apply a consistent understanding of the audience across participating supply environments, keeping audience context connected as opportunities move through the ecosystem.
2. Consumer intelligence adds context to each opportunity
Effective consumer intelligence starts with trusted data and understanding who consumers are, what they do, and what they care about, collected and used with appropriate consent, privacy protections, and permissions.
To achieve that, it’s critical to identify which data providers, audience segments, and types of data are best suited to a specific campaign and deal. Different sources offer different insights, and selecting the right combination helps advertisers identify relevant audiences and make more informed media decisions.
The right signals depend on the campaign. Retail campaigns may draw on purchase history and other behaviors that help predict future spending. Automotive campaigns may rely more on in-market signals, given longer buying cycles, to inform audience, messaging, and channel strategies. First party audiences play a crucial role in many use cases, and the ability to apply these audiences through an independent decisioning system maximizes match rates while minimizing data sharing across platforms.
Rather than relying on a predefined mix of audience segments, an advanced decisioning system can use campaign goals, brand context, and other available signals to shape the audience for each opportunity.
It can help identify which data providers, segments, and data types are most relevant, and then adjust the audience mix as performance and outcomes provide new information. This supports more tailored media decisions throughout a campaign.
3. Technology integrations connect intelligence to supply
Real-time connections with SSPs let decisioning systems consider signals such as context, device information, and format alongside advertiser audience and campaign criteria as opportunities arise. But each SSP integration can expose different signals and data structures, making it difficult to apply a strategy consistently across supply. A neutral intelligence layer connected through the right technology framework can normalize those inputs across participating SSPs and return qualifying deal and audience signals through the SSP, helping DSPs prioritize relevant opportunities in their existing workflows.
4. Optimization turns insights into better decisions
Optimization becomes more informed as demand-side performance data, signals from real-time supply integrations, and online and offline conversion data come together. Connected through a consistent audience view, these signals can help categorize inventory and identify supply paths associated with stronger performance.
Real-time decisioning and optimization help apply those insights quickly during a campaign, while accumulated learnings can inform future campaign setup and delivery. Decisioning systems can evaluate impressions quickly. The quality, relevance, and connectivity of the information behind them determine how useful those decisions are.
Bringing intelligence closer to the impression
Advances in real-time technology are creating new opportunities to apply this intelligence earlier in the media transaction.
Traditionally, much of the intelligence informing programmatic buying has been applied through DSPs. Curation was developed and widely adopted in part because it improved decisioning and performance by layering supply side signals into the ad buying workflow. Containerization is how SSPs are extending that shift, allowing decisioning capabilities to operate within or alongside their infrastructure, closer to the source of supply.
While containers are powerful tools, containerization alone doesn’t create interoperability across supply. Each container operates within its SSP environment, therefore utilizing native features and signals available there.
Real-time integrations are needed to pass signals from participating SSP environments into a neutral decisioning layer. That layer can connect varying signals and identifiers across supply sources, helping apply decisioning more consistently across different sources and types of supply. Imagine an automotive campaign focused on test-drive bookings. Identity and audience signals help recognize likely buyers. SSP signals such as context and format describe the available placements. Campaign and conversion feedback can show which audience, context and placement combinations are performing better. Real-time integrations help apply those learnings across participating SSPs during the campaign, so the DSP can prioritize stronger opportunities while retaining control of bidding.
Advertisers, publishers, data providers, DSPs, and SSPs each contribute different signals that can inform media selection. Connecting those signals through trusted identity and interoperable technology can make decisioning more relevant to individual campaign objectives.
AI can take this a step further by analyzing connected signals and executing media decisions faster and more dynamically. As more relevant data becomes available in real time, AI-driven models could tailor how opportunities are evaluated based on an advertiser’s campaign objectives, audience priorities, and the specific requirements of a DSP. With access to appropriate performance feedback, these systems could refine their decisions over time, making curation increasingly responsive to individual campaigns.
What’s next for curation?
Curation will continue evolving into a real-time decisioning engine for the advertising ecosystem, connecting identity, consumer intelligence, technology, and optimization closer to where media opportunities become available. Neutrality and interoperability will be central to making that intelligence work across platforms and creating value for everyone involved.
Site lists and deal IDs remain useful components of programmatic activation. Relying on site lists and contextual signals alone, though, means overlooking much of what curation can offer. The broader value comes from connecting identity, consumer intelligence, technology, and optimization through real-time supply integrations to inform media decisions. As these capabilities become more connected, curation can play a greater role in how the industry evaluates and acts on media opportunities, helping advertisers and their partners make faster, more customized decisions across the open web.
That’s where the value of modern curation comes into focus, and where its future in media lies.
About the author
Budi Tanzi
SVP, Product, Experian
Budi Tanzi is the Senior Vice President of Product at Experian Marketing Services, overseeing all identity products. Prior to joining Experian, Budi worked at various stakeholders of the ad-tech ecosystem, such as Tapad, Sizmek, and StrikeAd. During his career, he held leadership roles in both Product Management and Solution Engineering. Budi has been living in New York for almost 11 years and enjoys being outdoors as well as sailing around NYC whenever possible.
Latest posts
The Tapad Device Graph™ Complements Freckle’s IoT Capabilities to Extend Scale and Precision of Audience Data New York, NY — December 6, 2017 — Tapad, part of Experian, is the leader in cross-device marketing technology and Freckle IoT, the global leader in multi-touch, offline attribution, today announced they are partnering to provide brands with a holistic and insightful view of their customers, in predefined locations in all global markets. Starting today Freckle IoT will be leveraging the Tapad Device Graph™ to supplement the company’s data set to offer brands more granular attribution data. Consumer’s online behavior is becoming more and more complex, with the average consumer owning three or more devices and 35 percent of consumers converting on a different device from the one on which they started their research. These interactions become even more complicated when considering how online interactions and media impact offline sales. The collaboration between Tapad and Freckle, which combines Freckle IoT’s persistent location data with Tapad’s proprietary cross-device technology, is an important step in empowering brands with the information they need to better understand how digital media, consumed across multiple devices, is impacting offline attribution. Using its opt-in, first-party data, Freckle IoT helps brands measure the effectiveness of their advertising by independently matching media spend to in-store visits. Tapad’s technology extends Freckle’s data-set by allowing brands to access additional deterministic and probabilistic data, at scale and across all devices, to analyze consumer behavior ahead of in-store purchase. “Combining our technology with Tapad’s identity-driven solutions was a natural fit for our business,” said Neil Sweeney, founder and CEO at Freckle IoT. “With our unbiased, agnostic measurement and Tapad’s precise and privacy-safe data set, we knew this partnership would be a strong complement to providing more effective results for the needs of our brand partners.” For more information on Freckle IoT’s measurement offerings, please visit www.freckleiot.com. Contact us today
London – 24 November, 2017 – Tapad, part of Experian, is the leader in cross-device marketing technology and continues to broaden its reach across EMEA. The business today reported a 20 percent growth in the scope of its regional device graph, a data set used by organisations to map consumers to their devices, enabling better, more personalised cross-device marketing. This news complements Tapad’s recent expansion of its UK team with the hire of experienced solutions engineer, Davide Rosamilia. As the demand for cross-device technology solutions continues to grow around the globe, coupled with the emergence of regulations such as Europe’s General Data Protection Regulation (GDPR), Tapad is committed to offering suppliers the greatest level of insight without compromising consumer privacy. Since Tapad started licensing its proprietary Tapad Device GraphTM just over a year ago, demand for the company’s technology has experienced significant growth. New supply partnerships and proactive data sourcing have also meant an increase in devices across key markets, which contribute to the overall 20 percent growth of the EMEA device graph, including a 44 percent increase in the U.K., 47 percent in France, and 85 percent in Germany. “We’re continuing to invest heavily in growing our regional device graph, allowing us to better meet the needs of EMEA marketers as they strive to reach individuals with greater precision in some of the most tightly regulated marketplaces worldwide,” said Tom Rolph, VP EMEA, Tapad. “This year, we have also welcomed 10 new data suppliers whom we’ve helped to increase cross-device amplification, attribution and audience extension, helping to further set us apart in the marketplace and successfully expand our EMEA presence.” Available around the world, the Device Graph provides access to Tapad’s globally compliant and privacy-safe datasets across EMEA, APAC and the U.S., and offers deeper knowledge of consumer preferences, purchase intent, and conversion behaviors. “Tapad has shown a unique ability to adapt to the nuances of the local EMEA market and display impressive growth without sacrificing dedication to privacy,” said Alistair Hill, CEO and Co-founder at On Device Research. “When we started vetting technology vendors, we needed to be sure that we selected a partner that could offer compliant and privacy-safe datasets to operate within our stringent data standards. Tapad’s probabilistic solution offered us greater scale, greater device reach, and increased engagement without compromising on privacy.” Contact us today
The Tapad Device Graph™ Will Expand Sizmek’s Cross-Device Reach and Improve the Efficiency and Precision of Digital Advertising NEW YORK, November 16, 2017 — Tapad, part of Experian and a leader in cross-device marketing technology, today announced a new global partnership with Sizmek, the largest independent buy-side advertising platform delivering impressions that inspire. By integrating the Tapad Device Graph™, Sizmek will enhance its AI-powered predictive capabilities to deliver accurate, cross-device messaging at global scale in a privacy-safe environment. Combined with Sizmek’s existing data enablement, creative optimization and media execution capabilities, the proprietary Tapad Device Graph improves the efficiency and precision of digital advertising by accurately matching people and devices. This enables advertisers to get a clear view of individual customer journeys, achieve scale without compromising on efficiency, and uncover new opportunities for conversion. Sizmek’s customers will have access to Tapad’s globally compliant and privacy-safe datasets across the Americas, EMEA, and APAC. With deeper knowledge of consumer preferences, purchase intent and conversion behaviors, Sizmek and its customers are able to enhance advertising strategies including cross-device audience identification and more. “Tapad is known for their strong cross-device capabilities, and their offering is an excellent addition to our growing program for best-of-breed data and measurement partners” says Mike Caprio, Sizmek’s Chief Growth Officer. “For our customers, this partnership will add further people-based marketing precision and reach to our comprehensive offerings around creative optimization, data enablement and media execution.” This partnership comes at a time of a massive shift in the marketing technology industry. Companies like Tapad and Telenor, as well as Rocket Fuel and Sizmek, are joining forces to adopt those technologies that are most efficient and accurate at reaching consumers at scale in a personalized and non-intrusive way. The combination of Tapad and Sizmek’s offerings will provide international marketers with exceptional resources to lead a more cost effective and results driven campaign. Contact us today