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Artificial intelligence (AI) and connected TV (CTV) have a perfect synergy that’s revolutionizing how advertisers connect with their audiences. CTV serves as a medium for streaming content, while AI acts as a sophisticated technology that improves the performance of CTV advertising campaigns. The integration of these two technologies has paved the way for advertisers to reach their target audience more effectively, making CTV advertising a powerful and efficient tool.
In this blog post, we’ll dive into how these technologies work together — and why you should jump on board with AI for CTV advertising if you haven’t already.
Why AI and CTV are a great match
CTV and AI are transforming how advertisers connect with their audiences and improving the performance of their advertising campaigns in the CTV space. They work together to make advertising smarter and more enjoyable for everyone involved. AI uses sophisticated computer programs to analyze and understand data, while CTV refers to the streaming services that consumers use at home. But what makes them a great match in advertising?
AI uses data to determine which TV ads are most exciting and relevant to certain people, and it can even adjust ads in real time to ensure viewers are always getting the most personalized experience. AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next. To sum it up, AI allows for:
- Precise targeting: AI uses data to determine which TV ads are most exciting and relevant to certain people.
- Personalization: AI can adjust ads in real time to ensure viewers are always getting the most personalized experience.
- Effective ad insertion: AI can provide suggestions to viewers based on previously watched content to help them find what they’d enjoy watching next.
CTV facilitates these AI-driven strategies for enhanced user engagement and satisfaction.
The rising popularity of CTV
CTV has become increasingly popular as people change the way they watch TV. Instead of the traditional approach, more viewers are now choosing CTV platforms for their entertainment. One of the main reasons for this shift is that CTV offers greater flexibility and lets viewers watch content at their convenience. The ability to skip ads on many CTV platforms also improves the experience.
CTV offers a great opportunity to interact with your target audience in a more engaging way. CTV allows for highly targeted advertising capabilities so you can reach specific demographics and households with tailored messages. Additionally, CTV provides valuable data insights that enable you to measure campaign effectiveness accurately.
If you haven’t embraced this advertising channel yet, you may be missing out on a growing and engaged audience. Here are three reasons you should add CTV to your advertising strategy.
Global video ad impressions
As a global platform, CTV has the unique ability to reach audiences worldwide. Unlike traditional TV, CTV transcends geographical boundaries and brings marketers a global audience, which makes it an ideal channel for global ad campaigns. No matter your target audience, they’re consuming content on CTV. In fact, a recent study showed that 51% of global video ad impressions came from CTV in 2022.
This abundance of global video ad impressions generates vast amounts of data, which AI can process in real time to help you make data-driven decisions and optimize your campaigns for diverse international audiences. AI can analyze viewer data from various regions, identify audience preferences and behaviors across borders, and tailor ad content accordingly. These data analysis capabilities ensure your ads get in front of the right viewers.
Viewers prefer ad-supported CTV
In 2020, the viewing time of ad-supported CTV surged by 55% while subscription video on demand decreased by 30%, according to TVision Insights. Viewers have a well-established preference for ad-supported CTV due, in part, to cost-effective access to premium content. Viewers are more engaged and less resistant to ads, as AI tailors ad content to viewer preferences and behavior to enhance ad relevance.
AI-powered insights can also aid in viewer retention and help you optimize your CTV campaigns. By accommodating viewers’ preference for ad-supported CTV and harnessing AI to improve the ad experience, you’re more likely to be successful in your marketing efforts.
CTV outpaces mobile and desktop for digital video viewing
eMarketer recently reported that U.S. adults spend 7.5+ hours each day on CTV — more than half of their digital video viewing time. Comparatively, they only spend 37.5% of their viewing time on mobile and 10% on desktops and laptops. These statistics demonstrate that CTV has become the preferred platform for digital video consumption, as viewers enjoy larger screens with superior quality for an immersive experience.
It’s important to note that AI is an essential CTV marketing tool, as it allows for precise targeting and content optimization. By utilizing AI on CTV, you can take advantage of this trend and deliver more engaging and effective campaigns to a growing and engaged audience.
How is AI already being used in CTV?
CTV has been integrated with AI across various facets and has revolutionized the television landscape. Here’s a look at how AI is already shaping the CTV experience:
Generative AI ads
Generative AI ads are taking CTV personalization to a whole new level. These innovative ads are customized versions of the same CTV ad to suit individual viewers. Some AI tools can generate several versions of the same CTV ad — swapping the actor’s clothing and voiceover elements like store locations, local deals, promo codes, and more — and can create up to thousands of personalized iterations in just a few seconds. Such capabilities are a game-changing approach to connecting with your audience.
Next, we dive into the advantages and impact of generative AI ads, and explore their transformative role in CTV advertising.
Contextual ads vs personal data
Generative AI ads use personal data, such as viewing history and demographics, to create highly personalized ad experiences. This sets them apart from contextual ads, which rely solely on the content being viewed. Using AI to harness this data, you can move beyond traditional contextual targeting and ensure your ads connect with viewers on a more individualized level.
Generative AI ads can be used to A/B test
Generative AI ads are not just about personalization; they also open the door to A/B testing. Being able to create several versions of one ad quickly allows you to experiment with various ad elements, such as messaging, visuals, and calls to action, to identify what works best for different segments of your audience and drives the best performance. This flexibility is especially valuable for refining ad campaigns and maximizing their impact.
What’s next for AI-generated ads like this?
The potential of AI-generated ads is exciting. As AI technologies constantly advance, we can expect even more personalized and automated CTV advertising. It’s a good idea to keep up with the latest AI-driven innovations to create more effective ad campaigns in the fast-evolving CTV space. The possibilities are endless, and you’ll likely find the most success when you embrace AI in CTV advertising.
Optimize streaming quality
AI helps viewers enjoy more seamless CTV experiences. By assessing network speed and user preferences, AI optimizes video quality in real time to reduce buffering interruptions. For instance, streaming platforms use AI to adjust video settings based on a user’s connection speed. This guarantees an uninterrupted and enjoyable viewing experience.
Review content for compliance
AI also has a part to play in quality assurance and compliance management. It assesses content alignment with technical parameters and moderates compliance with local age restrictions and privacy regulations. This means AI can identify and filter out unsuitable content to provide a safer and more enjoyable viewing environment for audiences while safeguarding brands from association with undesirable material.
Voice command
AI-powered voice command technology is increasingly used to control CTV viewing. This technology is embedded in streaming devices and smart TVs and allows viewers to interact with their CTV content through voice-activated commands. This personalizes the viewing experience and improves convenience, as it eliminates the need for remote controls.
CTV-integrated voice assistants like Google Assistant, Amazon Alexa, Apple Siri, and Samsung Bixby offer a more human-like interaction with the television, allowing users to give commands and receive tailored responses.
Content recommendations
AI can offer content recommendations that provide viewers a more personalized and engaging experience. Major over-the-top (OTT) services like Netflix, Hulu, and Amazon Prime use AI-driven data analysis to deliver tailored content suggestions to their audiences. By analyzing user habits in detail, AI can recommend content based on factors such as actors, genres, reviews, and countries of origin. This personalized approach helps viewers discover content that matches their preferences and enhances their viewing experience.
Advertising
Programmatic ad buying, driven by AI, automatically matches ad placements to specific audience segments based on behavioral patterns. It improves ad delivery by moving away from gross rating points (GRP) to more intelligent and targeted placements. This benefits marketers by ensuring ads are seen by the right people at the right time. It’s also cost-effective for publishers, as it maximizes the sale of ad spots to suitable buyers.
Automatic content recognition (ACR) technology, which AI powers, is integrated into smart TVs and streaming devices to improve ad relevance. It provides contextual targeting and extends the reach of ads across multiple devices. For example, platforms like Roku use ACR data to display ads to viewers who haven’t seen them on traditional TV. Similarly, Samba TV retargets mobile users based on IP address and aligns their viewing habits with their smart TVs.
Demand-side platforms
CTV advertising relies heavily on demand-side platforms (DSPs) to efficiently manage and optimize ad campaigns. These platforms use machine learning and AI in several important ways:
Using machine learning and AI to address data fragmentation
Data is abundant but fragmented when it comes to CTV advertising. DSPs are flooded with a massive amount of data, including information about households, viewer behavior, and viewing patterns. This data is far too much for manual analysis to handle effectively, which is where AI comes in.
By integrating machine learning algorithms into DSPs, AI can harmonize this fragmented data and provide valuable insights and a holistic view of your audience. AI can process zettabytes of data in real time, which streamlines the decision-making process and empowers you to compete quickly for limited CTV impression opportunities.
Predicting advertising outcomes with AI
AI is quickly changing the way we predict and optimize advertising outcomes. TV buying and optimization platforms are now using AI to improve ad performance. With machine learning, these platforms can anticipate which ad creatives will produce the best results based on various non-creative factors. These include the context of the ad, the audience’s profiles, the time of day it is displayed, and the frequency of the ad display.
By relying on AI to make these predictions, you can make sure your campaigns are highly optimized for success and deliver more relevant, compelling ads to viewers.
Optimizing generative ads
AI is also driving optimization in generative ads. These personalized versions of the same CTV ad can be tailored to suit individual viewers. By utilizing AI-driven analytics, DSPs can process extensive amounts of data in real time and optimize generative ads to ensure they align with viewers’ preferences and behaviors. This level of personalization is a game-changer in CTV advertising that boosts engagement and delivers content that truly resonates with the audience.
Add AI to your CTV strategy today
Integrating AI into your CTV strategy can help you stay competitive and ensure your ad campaigns are effective and engaging.
At Experian, we’re ready to help you elevate your CTV advertising and implement AI as part of your strategy. Our solutions, such as Consumer View and Consumer Sync, provide valuable audience insights, enhance targeting capabilities, and optimize engagement on TV. Plus, our partnerships with leading media marketing solutions can help you achieve greater success through effective advanced television advertising.
As you incorporate AI into your CTV strategy, you’ll be able to make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Explore Experian’s TV solutions and empower your CTV advertising with AI today.
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The stakes are high when it comes to advertising during football’s biggest games as the cost of advertising continues to rise, with the average 30-second TV ad during the 2023-24 Sunday Night Football season priced at $882K. With record viewership at the College Football Playoff and the Super Bowl drawing in 123.7 million average viewers, the largest TV audience on record, it's no surprise that brands are willing to pay those prices since football games are prime time for reaching engaged audiences. In fact, an estimated 51% of viewers search for an ad they saw during the game, underscoring the potential of second-screen engagement to amplify campaign impact. Whether you advertise on TV during these games or not, brands are exploring how they can use football season to drive a deeper connection to their audience. To do this, brands need data driven strategies. In this blog post, we’ll reveal audience segments designed for you to craft tailored marketing strategies that resonate with football fans in the stands and on the couch. You can find the complete audience segment name in the appendix. Make a game-winning play with Experian Audiences With playoff season fast approaching, it’s the perfect time to go on the offensive and target football fans. Utilize Experian’s syndicated audiences to ensure your marketing messages resonate with fans when they're the most engaged. Experian's 2,400+ syndicated audiences are available directly on over 30 leading television, social, and programmatic advertising platforms. Reach consumers based on who they are, where they live, and what they do using data ranked #1 in accuracy by Truthset. Run omnichannel campaigns based on a reliable understanding of households, people, digital identifiers, and marketing attributes. Four football audience categories to add to your advertising lineup Football fans come in all shapes, sizes, and viewing habits. From dedicated supporters to casual viewers, targeting the right audience can make or break your campaign. Here are four football audience categories you can target: Sports enthusiasts College football fans 21+ audiences TV viewers Let’s huddle up and break down the audience segments within each category. Whether it’s tailgating, tuning in, or cheering from the stands, these insights will get your campaign into the end zone. Sports enthusiasts Whether they’re following their favorite teams, attending games in person, or watching professional sports events on TV, football fans are deeply engaged, making them an ideal target for advertisers looking to score big. Here are five audiences to target: NFL Enthusiasts Football (FLA/Fair Lending Friendly)1 Sports Enthusiasts NFL Stadium Visitors Professionals Sports Event College football fans College football fans bring unmatched passion and loyalty, with bowl games during the 2023 season drawing on average of 4.6 million viewers across 40 total games—a 5% increase year-over-year. From students to alumni, these fans represent an invaluable opportunity for advertisers to connect with a deeply invested audience. Here are four audiences to target to connect with passionate college football fans: College Football Stadium Visitors College Football Bowls College Students College Sports Venues 21+ audiences With 84% of U.S adults reporting that they drink alcohol while watching football on TV, targeting 21+ audiences during game season is a winning play. Whether they’re cracking open a cold one at a tailgate, hosting a game-day party, or relaxing on the couch, these audiences represent a key audience for brands looking to tap into football culture. Here are four audiences that you can target this post season: Imported Light Beer Enthusiasts Domestic/Imported Beer High-end Spirit Drinkers Discretionary spend: Alcohol and wine $331 – $726 These audiences can help you serve up campaigns that pour directly into the heart of football fandom. TV viewers Football games attract some of the most engaged and diverse TV audiences, with 85% of sports fans preferring to watch live sports on TV rather than in-person. Notably, for the first time, viewers aged 18 to 49 spent the majority of their sports viewing time (54%) via streaming. This shift highlights the immense opportunity for advertisers to connect with highly attentive viewers tuned into every play. Here are seven audiences that you can use to create a game-winning strategy to reach engaged TV watching football fans: Cable Satellite or Streaming Network Subscribers Streaming Video: High Spenders Cord Cutters Cable and Streaming TV Service Subscribers Paid TV High Spenders Screen Size – Large Co-Watchers Whether they're catching the action on a large TV screen or streaming from their phone, these audiences will help you craft campaigns that deliver results with highly engaged viewers. Score big with Experian this postseason As some of football’s biggest games approach, it’s time to huddle up and connect with consumers who live for the thrill of the game. Whether they’re tuning in to cheer for their favorite teams, tailgating with friends, or enjoying the game-day experience from home, Experian Marketing Data provides the playbook to score big with targeting, enrichment, and activation. With Experian’s data-driven insights, you can turn every opportunity into a game-winning play! Connect with our audience team You can activate our syndicated audiences on-the-shelf of most major platforms. For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. Explore our other seasonal audiences that you can activate today. View now 1 “Fair Lending Friendly” indicates data fields that Experian has made available without use of certain demographic attributes that may increase the likelihood of discriminatory practices prohibited by the Fair Housing Act (“FHA”) and Equal Credit Opportunity Act (“ECOA”). These excluded attributes include, but may not be limited to, race, color, religion, national origin, sex, marital status, age, disability, handicap, family status, ancestry, sexual orientation, unfavorable military discharge, and gender. Experian’s provision of Fair Lending Friendly indicators does not constitute legal advice or otherwise assures your compliance with the FHA, ECOA, or any other applicable laws. Clients should seek legal advice with respect to your use of data in connection with lending decisions or application and compliance with applicable laws. Appendix Sports enthusiasts Lifestyle and Interests (Affinity) > Activities and Entertainment > NFL Enthusiasts Lifestyle and Interests (Affinity) > Sports and Recreation > Sports Enthusiast Mobile Location Models > Visits > NFL Stadium Visitors Lifestyle and Interests (Affinity) > Sports > Football (FLA / Fair Lending Friendly)2 Travel Intent > Activities > Professional Sports Event College sports fans Mobile Location Models > Visits > University Stadium College Football Visitor Lifestyle and Interests (Affinity) > Sports > College Football Bowls Mobile Location Models > Visits > College Students Mobile Location Models > Visits > College Sport Venues 21+ audiences Lifestyle and Interests (Affinity) > Activities and Entertainment > Imported Light Beer Enthusiasts Lifestyle and Interests (Affinity) > In-Market > Domestic/Imported Beer Lifestyle and Interests (Affinity) > Retail > High-end Spirit Drinkers Financial – Analytics IQ > Discretionary Spend > Alcohol and Wine: $331-$726 TV viewers Television (TV) > Household/Family Viewing > Cable Satellite or Streaming Network Subscribers Retail Shoppers: Purchase Based > Entertainment > Streaming/Video/Audio/CTV/Cable TV: Streaming Video: High Spenders Television (TV) > Household/Family Viewing > Cord Cutters Television (TV) > Household/Family Viewing > Cable and Streaming Service Subscribers Television (TV) > TV Enthusiasts > Paid TV High Spenders Television (TV) > Viewing Device Type > Screen Size – Large Television (TV) > Household/Family Viewing > Co-Watchers Latest posts

Following the success of our recent launch of Third-Party Onboarding, we are excited to introduce the Experian marketplace, a new addition to our portfolio of data-driven activation solutions. Experian’s marketplace bridges TV operators, programmers, supply partners, and demand platforms with top-tier third-party audiences across retail, CPG, health, B2B, and location intelligence. Easily activate premium audiences from leaders like Attain, Alliant, Circana, and Dun & Bradstreet – driving precise, efficient consumer reach. "Experian has been a longstanding partner of DISH Media, and we’re excited to be an early adopter of their marketplace which leverages the foundation of their identity solutions to ensure maximum cross-channel reach as we look to expand the breadth and depth of data we use for addressable TV."Kemal Bokhari, Head of Data, Measurement & Analytics, DISH Media As privacy regulations evolve and traditional identity signals shift, many activation platforms face declining addressability. This impacts their ability to effectively reach consumers, which is critical to staying competitive. Experian’s marketplace, powered by our identity graphs which include 126 million households, 250 million individuals, and 4 billion active digital IDs, enables audiences to be easily activated and maintain high addressability across display, mobile, and connected TV (CTV) channels. Benefits of Experian's marketplace Enhanced addressability and match rates: All audiences delivered from our marketplace benefit from our best-in-class offline and digital identity graphs, which ensure addressability across all channels like display, mobile, and CTV. Unlike other data marketplaces, Experian ensures all identifiers associated with an audience have been active and are targetable, improving the accuracy of audience planning. Simplified audience planning and distribution for TV Operators: TV operators can build custom audiences matched directly to their subscriber footprint and distribute them across all advanced TV channels (data-driven linear, addressable, digital, and CTV) for maximum impact. Diversification within the data marketplace ecosystem: With the recent departure of Oracle’s advertising business, the optionality for buyers and sellers to connect with third-party data has become increasingly limited. With Experian marketplace, we’re excited to offer a new solution to the market that ensures data-driven targeting can continue to take place at scale. Lower activation costs: Experian’s marketplace offers transparent, pass-through pricing with no additional access fees, enabling partners to maximize their earnings while reducing costs. Audience diversity and scale: Platforms can access a broad range of audiences across top verticals from our partner audiences, which can be combined with 2,400+ Experian Audiences. This offers the flexibility, reach, and scale necessary to effectively execute advertising campaigns. Remove compliance concerns: Experian’s rigorous data partner review ensures available audiences comply to all federal, state and local consumer privacy regulations. “Circana and Experian have enjoyed a deep partnership for over a decade. We are exceedingly excited to extend our partnership and be an early adopter and launch partner of the Experian data marketplace. This additional capability will enable the ecosystem to more easily access Circana’s purchase-based CPG and General Merchandise (for example Consumer Electronics, Toys, Beauty, Apparel etc.) audience segments to drive performance outcomes across all media channels.”Patty Altman, President, Global Solutions, Circana “Capturing the attention of target audiences across channels is critical for marketers navigating an increasingly connected digital world. We are excited to be an exclusive provider of B2B solutions within Experian’s marketplace, helping brands and media agencies to accelerate their reach, addressability and targeting capabilities across TV, mobile and connected TV channels.” Georgina Bankier, VP of Platform Partnerships at Dun & Bradstreet Better connections start here: Experian's marketplace Experian’s marketplace, easily accessible from our Audience Engine platform, brings unparalleled addressability, enabling our clients to reach more relevant consumers and increase revenue. If you’re interested in learning more about Experian’s marketplace or becoming an active buyer or seller in our marketplace, please contact us. Contact us Latest posts

2024 marked a significant year. AI became integral to our workflows, commerce and retail media networks soared, and Google did not deprecate cookies. Amidst these changes, ID bridging emerged as a hot topic, raising questions around identity reliability and transparency, which necessitated industry-wide standards. We believe the latest IAB OpenRTB specifications, produced in conjunction with supply and demand-side partners, set up the advertising industry for more transparent and effective practices. So, what exactly is ID bridging? As signals, like third-party cookies, fade, ID bridging emerged as a way for the supply-side to offer addressability to the demand-side. ID bridging is the supply-side practice of connecting the dots between available signals, that were generated in a way that is not the expected default behavior, to understand a user’s identity and communicate it to prospective buyers. It enables the supply-side to extend user identification beyond the scope of one browser or device. Imagine you visit a popular sports website on your laptop using Chrome. Later, you use the same device to visit the same sports website, but this time, on Safari. By using identity resolution tools, a supply-side partner can infer that both visits are likely from the same user and communicate with them as such. ID bridging is not inherently a bad thing. However, the practice has sparked debate, as buyers want full transparency into the use of a deterministic identifier versus an inferred one. This complicates measurement and frequency capping for the demand-side. Before OpenRTB 2.6, ID bridging led to misattribution as the demand-side could not attribute ad exposures, which had been served to a bridged ID, to a conversion, which had an ID different from the ad exposure. OpenRTB 2.6 sets us up for a more transparent future In 2010, the IAB, along with supply and demand-side partners, formed a consortium known as the Real-Time Bidding Project for companies interested in an open protocol for the automated trading of digital media. The OpenRTB specifications they produced became that protocol, adapting with the evolution of the industry. The latest evolution, OpenRTB 2.6, sets out standards that strive to ensure transparency in real-time bidding, mandating how the supply-side should use certain fields to more transparently provide data when inferring users’ identities. What's new in OpenRTB 2.6? Here are the technical specifications for the industry to be more transparent when inferring users’ identities: Primary ID field: This existing field now can only contain the “buyeruid,” an identifier mutually recognized and agreed upon by both buyer and seller for a given environment. For web environments, the default is a cookie ID, while for app activity, it is a mobile advertising ID (MAID), passed directly from an application downloaded on a device. This approach ensures demand-side partners understand the ID’s source. Enhanced identifier (EID) field: The EID field, designated for alternative IDs, now accommodates all other IDs. The EID field now has additional parameters that provide buyers transparency into how the ID was created and sourced, which you can see in the visual below: Using the above framework, a publisher who wants to send a cross-environment identifier that likely belongs to the same user would declare the ID as “mm=5,” while listing the potential third-party identity resolution partner under the “matcher” field, which the visual below depicts. This additional metadata gives the demand-side the insights they need to evaluate the reliability of each ID. "These updates to OpenRTB add essential clarity about where user and device IDs come from, helping buyers see exactly how an ID was created and who put it into the bidstream. It’s a big step toward greater transparency and trust in the ecosystem. We’re excited to see companies already adopting these updates and can’t wait to see the industry fully embrace them by 2025."Hillary Slattery, Sr. Director, Programmatic, Product Management, IAB Tech Lab Experian will continue supporting transparency As authenticated signals decrease due to cookie deprecation and other consumer privacy measures, we will continue to see a rise in inferred identifiers. Experian’s industry-leading Digital Graph has long supported both authenticated and inferred identifiers, providing the ecosystem with connections that are accurate, scalable, and addressable. Experian will continue to support the industry with its identity resolution products and is supportive of the IAB’s efforts to bring transparency to the industry around the usage of identity signals. Supply and demand-side benefits of adopting the new parameters in OpenRTB 2.6 Partner collaboration: Clarity between what can be in the Primary ID field versus the EID field provides clear standards and transparency between buyers and sellers. Identity resolution: The supply side has an industry-approved way to bring in inferred IDs while the demand side can evaluate these IDs, expanding addressability. Reducing risk: With accurate metadata available in the EID field, demand-side partners can evaluate who is doing the match and make informed decisions on whether they want to act on that ID. Next steps for the supply and demand-sides to consider For supply-side and demand-side partners looking to utilize OpenRTB 2.6 to its full potential, here are some recommended steps: For the supply-side: Follow IAB Specs and provide feedback: Ensure you understand and are following transparent practices. Ask questions on how to correctly implement the specifications. Vet identity partners: Choose partners who deliver the most trusted and accurate identifiers in the market. Be proactive: Have conversations with your partners to discuss how you plan to follow the latest specs, which identity partners you work with, and explain how you plan to provide additional signals to help buyers make better decisions. We are beginning to see SSPs adopt this new protocol, including Sonobi and Yieldmo. “The OpenRTB 2.6 specifications are a critical step forward in ensuring transparency and trust in programmatic advertising. By aligning with these standards, we empower our partners with the tools needed to navigate a cookieless future and drive measurable results.” Michael Connolly, CEO, Sonobi These additions to the OpenRTB protocol further imbue bidding transactions with transparency which will foster greater trust between partners. Moreover, the data now available is not only actionable, but auditable should a problem arise. Buyers can choose, or not, to trust an identifier based on the inserter, the provider and the method used to derive the ID. While debates within the IAB Tech Lab were spirited at times, they ultimately drove a collaborative process that shaped a solution designed to work effectively across the ecosystem.”Mark McEachran, SVP of Product Management, Yieldmo For the demand side: Evaluation: Use the EID metadata to assess all the IDs in the EID field, looking closely at the identity vendors’ reliability. Select partners who meet high standards of data clarity and accuracy. Collaboration: Establish open communication with supply-side partners and tech partners to ensure they follow the best practices in line with OpenRTB 2.6 guidelines and that there’s a shared understanding of the mutually agreed upon identifiers. Provide feedback: As OpenRTB 2.6 adoption grows, consistent feedback from demand-side partners will help the IAB refine these standards. Moving forward with reliable data and data transparency As the AdTech industry moves toward a cookieless reality, OpenRTB 2.6 signifies a substantial step toward a sustainable, transparent programmatic ecosystem. With proactive adoption by supply- and demand-side partners, the future of programmatic advertising will be driven by trust and transparency. Experian, our partners, and our clients know the benefits of our Digital Graph and its support of both authenticated and inferred signals. We believe that if the supply-side abides by the OpenRTB 2.6 specifications and the demand-side uses and analyzes this data, the programmatic exchange will operate more fairly and deliver more reach. Latest posts