Have you wondered how the shift toward real-time data is reshaping the way companies connect with consumers? Traditional methods of third-party data collection and demographic targeting are being replaced by more privacy-conscious approaches. In our next Ask the Expert segment, we explore how Experian and Captify’s partnership is harnessing the power of real-time onsite search data to enhance personalized advertising, address identity fragmentation, and provide valuable insights for navigating modern advertising challenges.
We’re joined by industry leaders, Amelia Waddington, Chief Product Officer at Captify, and Chris Feo, Experian’s SVP of Sales & Partnerships. In this segment, they discuss the complexities of identity and the innovative use of real-time data in digital advertising. Watch the full Q&A below to learn more about these topics and discover how the collaborative efforts of Experian and Captify are shaping the future of personalized advertising.
Understanding the power of real-time marketing data
Real-time data provides an up-to-the-minute view of consumer behavior, enabling marketers to make quick, informed decisions. Captify’s use of real-time search data allows for immediate insights, contrasting with traditional third-party data, which often involves delay and prompted answers. This approach allows marketers to see trends and reactions as they unfold, making it possible to tweak campaigns and strategies and always reach the most in-market consumers. By using Captify’s real-time data, we can predict consumer interests and adapt to market changes quickly.
Staying ahead of market trends with predictive analytics
Captify analyzes more than a billion search signals daily, giving brands a detailed look at changes in audience behavior. These real-time insights help businesses make timely adjustments and reach their audiences in the moments that matter. Beyond digital media, Captify’s multi-channel activation strategy extends to platforms such as connected TV and digital out-of-home, ensuring messages remain relevant and effective.
How Experian and Captify work together
Imagine being able to tailor your ads to consumers’ needs and interests in real time. Our partnership with Captify enhances ad targeting and measurement by combining Experian’s vast Digital Graph with Captify’s real-time intent data. “Captify has evolved beyond relying on third-party cookies in isolation and now uses the Experian Graph to provide a more holistic view of identity at both the individual and household levels” says Amelia Waddington, Chief Product Officer at Captify.
As privacy concerns grow, we have built and continue to invest in a signal-agnostic Digital Graph that can make connections across a wide range of identifiers, including the Experian Living Unit ID (LUID). The LUID is a unique identifier representing each household in the United States, based on real households and real people. This allows essential demographic information to be enriched to a household, enriching first-party data with detailed consumer insights, like age, gender, historical purchase behavior, and future purchase intent. By continuously adding new data and building fresh audiences and segments, we provide greater insights into the consumer base. Our Digital Graph serves as Captify’s identity spine, allowing them to connect identifiers together at both the person and household levels. This helps their clients target ads more accurately across different channels, making it easier to track and understand consumer behavior across platforms like TV, digital, and radio.
Here are five key ways our partnership enhances ad targeting and measurement:
Enhancing personalized advertising with real-time insights
Identity fragmentation is a challenge for marketers because consumer data is scattered across different devices and platforms, making it difficult to effectively understand and target consumers. Experian and Captify’s partnership provides the fuel to help advertisers by integrating real-time search data with identity graphs, allowing for accurate targeting across various channels. By combining Experian’s robust Digital Graph with Captify’s real-time intent data, advertisers can deliver highly personalized ads on connected TV that retain their relevance and impact, no matter where the consumer engages with the content.
“We ingest the Experian Graph as part of our internal Graph, allowing us to connect identifiers together at both person and household levels, which aligns with our expansion into TV, out-of-home, and audio channels.”
Amelia waddington, chief product officer, captify
Addressing identity fragmentation
A fragmented identity occurs when consumer data is scattered across different devices and platforms, making it difficult to effectively understand and target consumers. Advertisers need holistic media plans instead of fragmented strategies that risk disengaging consumers, while publishers must demonstrate their platforms’ value by targeting seamlessly.
By enriching and distributing thousands of demographic and behavioral segments, Experian provides the essential data needed to effectively target diverse audiences. Experian’s Digital Graph complements Captify’s data by connecting various identifiers, providing a complete view of individuals and households. This approach helps advertisers overcome fragmentation challenges, and ensure their messages reach the right audience across multiple touchpoints.
Optimizing creative content dynamically
Using real-time data, advertisers can adjust creative elements of their ads to better match consumer interests. This means changing parts of an ad, like images or text, based on current audience data, making it more relevant to the consumer. By partnering with Experian, Captify continues to see a rounded view of a consumer, allowing them to provide clients around the globe with data-driven creatives. These creatives achieve better results than standard ones and enable more meaningful connections with consumers.
Integrating search data into connected TV
Real-time search data plays a crucial role in enhancing the effectiveness of connected TV (CTV) advertising. Captify’s identity solution uses persistent identifiers from the Experian Digital Graph to extract value from onsite search data. Machine learning technology then categorizes these searches to understand consumer intent and create highly relevant audiences. By integrating Captify’s consumer intent data, advertisers can deliver more targeted and relevant ads on CTV platforms. This integration helps marketers reach viewers with content that resonates.
Ensuring multi-channel message consistency
Consistency in messaging across multiple channels is key for maintaining brand integrity and consumer trust. By using Experian’s identity data, Captify ensures that advertisers can deliver cohesive messages across various platforms, including TV, digital, and radio. This integration not only enhances ad targeting precision but also solidifies the brand’s presence, ensuring that every touchpoint reinforces the same core message for a unified brand experience.
Watch the full Q&A
Visit our Ask the Expert content hub to watch Amelia and Chris’ full conversation. In their discussion, they cover identity beyond identifiers, personalized advertising strategies, and the evolving consumer journey. Amelia and Chris also share about interoperability challenges in CTV and how Captify is using alternative IDs like Unified I.D. 2.0 (UID2).
About our experts
Amelia Waddington, Chief Product Officer, Captify
Amelia is Chief Product Officer at Captify, leading the Product, Engineering, Partnerships and Insight teams globally. During her three years at Captify, Amelia has delivered on her product vision to put Captify’s Search Intelligence in the hands of all advertisers—unlocking competitive advantage for clients and partners in a way that’s omnichannel, strategic, open and future-proof. She has launched Captify’s Advanced TV, cookieless and data partnerships product lines. Amelia brings over a decade of experience in driving product strategy, underpinned by expertise across data science, machine learning, and analytics. She has a PhD in computational neuroscience and previous roles include product leadership at LiveRamp and Aimia.
Chris Feo, SVP, Sales & Partnerships, Experian
As SVP of Sales & Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats!
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping to lead their brands to new heights in ad tech. Today’s interview is with Jordan Feivelson, VP, Digital Audiences at Webbula. Jordan is a 22-year advertising industry veteran who has worked for media properties such as WebMD and Disney. Over the past ten years, he has transitioned to the data and programmatic space, including growing the data business for Kantar Shopcom and Adstra. What types of advertisers might benefit from utilizing Webbula audiences across various verticals? Can you provide examples of how different industries successfully leverage your data to achieve specific campaign goals? Most advertisers can leverage Webbula’s award-winning attributes for their activation initiatives. Webbula offers approximately 3,000 syndicated segments covering categories such as Demographics, Automotive, Political, Mortgage, B2B, Hobby/Interest/Lifestyle, and Interests & Brand Preferences (brand name targeting). Audience insights and marketing strategies What specific types of audience segments does Webbula provide? How can advertisers leverage these segments to craft more effective, personalized marketing strategies? Webbula has incredible depth and breadth within its verticals, giving marketers the tools to deliver targeted messaging effectively. Our Demographic, B2B, Mortgage, Automotive, and Interest and Brand Preferences segments each contain 500-1,000 segments, all built on deterministic, self-reported, and individually linked data. We ensure the best accuracy with multiple deterministic data points tied to the real world (ex., first name, last name, postal address, and email address). Some examples of our unique syndicated audience types: B2B: A view of the latest industry trends with detailed cuts of the professional world, such as companies with and not within the Fortune 500 companies and job positions that are directors and below. This also includes custom capabilities, including ABM (list of target companies in an activation campaign or by industry code (ex. NAICS, SIC). Interest and Brand Preferences: Consumers who have shown interest and affinity to hundreds of brands (ex., Nike), genres (ex., comedy, hip hop), sports teams, and more. Mortgage: A detailed view of homebuyers’ purchase range, loan type (ex. jumbo loan, standard loan), mortgage amount, interest rate, and more. With Webbula’s audience data, brands can create a comprehensive picture of their audiences down to the individual level and reach them accurately. Data quality, sourcing, and differentiation How is consumer data sourced and curated at Webbula? Are there data quality standards that Webbula establishes for consumer data, and how do you ensure your sources and methods meet these standards consistently? Webbula’s data is aggregated from over 110 trusted and authenticated sources, including publishers, data partners, social media, and more. The data collected comes directly from consumers who self-report information through surveys and other methods. We apply our hygiene filters to mitigate fraud and accurately score the data. Data Collection: The data collected comes directly from consumers who self-report information through surveys, questionnaires, transactions, and sign-ups. This ensures that brands display ads to audiences based on self-identified, cross-channel behaviors, not modeled assumptions. Hygiene Solutions: Webbula applies multi-method hygiene solutions to mitigate fraud and accurately score the data before onboarding, ensuring that all data meets the highest quality standards. Examples of Data Sources: Questionnaires: Self-reported data through surveys, offer submissions, and telemarketing. Transactions: Deterministic data from aftermarket parts, online purchases or services, and more. Sign-ups: Individually linked data from information entered through sweepstakes, infomercials, newsletters, and forms. What differentiates Webbula's data from other data providers in the market? Can you explain the unique value proposition that Webbula offers in terms of data depth and breadth? Due to our extensive experience in data cleansing, we provide the most accurate data within the programmatic ecosystem. TruthSet, the leading programmatic accuracy measurement company, has ranked Webbula as having the highest number of top attributes compared to other data providers with 150M+ HEMs. Additionally, Publicis Groupe and Neutronian further validate Webbula's data quality, underscoring its position as a leader in the industry. Webbula's data stands out in the market due to its unmatched accuracy and quality, achieved through years of expertise in data cleansing. Unlike other providers, Webbula’s foundation lies in its robust email hygiene process, ensuring that all data entering the programmatic ecosystem is thoroughly cleansed. Privacy, compliance, and future-proofing What measures does Webbula take to maintain data privacy and compliance? How do these efforts benefit advertisers in an evolving regulatory landscape and ensure ethical standards? Webbula was created over a decade ago with a future-proof, privacy-compliant foundation. We understand the industry’s rapid changes, including government and state legislation and cookie depreciation. Our goal has always been to build long-term partnerships and ensure we are prepared for industry changes. We rely on validated offline data sources, making us resilient to external influences. Success stories Can you share success stories where advertisers saw significant campaign improvements using Webbula’s data? What were the key factors that contributed to these successes? Our success is measured by client feedback and increased client spend. Webbula has helped several key advertisers achieve six-figure monthly thresholds by providing the most accurate data to meet campaign KPIs. Clients consistently return to use our data, validating our belief that “the proof is in the pudding.” Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Webbula, reach out for a personalized consultation. Contact us Latest posts
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