Ask the Expert

As privacy regulations, signal loss, and consumer expectations change, marketers face growing challenges in creating meaningful connections. In our latest Ask the Expert segment, Tom Wolfe, SVP at Viant, and Ali Mack, VP of AdTech Sales at Experian explore how first- and third-party data strategies, advancements in connected TV (CTV), and AI tools empower marketers to build smarter campaigns tailored to modern demands.  Identity-driven advertising built on first-party data With the decline of traditional third-party signals and the rise of privacy-first advertising, first-party data is more important than ever. By collecting data directly from customers, marketers ensure they have accurate, user-consented data to fuel personalized advertising. Viant’s identity graph takes these first-party signals—such as email addresses, household locations, and phone numbers—and connects them with additional attributes in a privacy-safe way. This approach empowers marketers to build precise audience segments without relying on cookies, which Viant phased out over a decade ago.  Combining first-party data and privacy-first solutions to build trust By combining first-party data strategies with privacy-first solutions, marketers can build long-term success while earning consumer trust. The Viant Household ID eliminates reliance on cookies while enabling secure, compliant campaign management. Additionally, Viant's partnerships with cleanrooms further protect their clients' data integrity and ensure smooth collaboration between trusted parties. Beyond safeguarding consumer information, the Viant ecosystem allows their clients to integrate data seamlessly from audience segmentation to campaign activation and reporting.  How first and third party data work together While first-party data is crucial for precise, personalized advertising, it isn’t always sufficient—especially for smaller or emerging brands that haven’t yet amassed audience data. Third-party data plays a pivotal role in these scenarios by supplementing first-party insights, offering a broader view of consumer behavior, leading to new growth opportunities.  Viant collaborates with partners like Experian to help marketers seamlessly merge their customer information with additional consumer insights. Viant and their clients benefit from Experian's identity data to match various identifiers such as hashed emails, device IDs, or other platform-specific tags and map them back to a single consumer profile. With a unified view of the consumer, marketers can refine targeting, expand their reach, and maintain consistency across channels. By utilizing first- and third-party data solutions, marketers can build well-rounded, effective campaigns that resonate with diverse audiences.  “Our clients have embraced the Viant Household ID because it powers a comprehensive, seamless flow from segment creation to targeting, activation, and measurement.” Tom Wolfe, SVP Business Development, Viant  CTV as a core marketing channel CTV is emerging as the core platform for immersive and effective advertising by merging the visual storytelling power of traditional TV with the precision of digital tools. Viant helps marketers optimize CTV capabilities by building connections between premium publishers and data, allowing marketers to personalize experiences. Whether it’s tailored ads for families watching a live sports event or pinpointing niche interests, CTV enables marketers to reach diverse audiences with meaningful ads. Beyond awareness, Viant drives results for their clients and monitors that performance across each stage of the funnel. Marketers can use the key insights to optimize their media buys on CTV and achieve even higher ROI.  Viant takes CTV performance a step further with its direct access programs. Stronger data matching via publisher partnerships improves accuracy, helping marketers connect with their ideal audience. Viant’s recent data shows that campaigns incorporating CTV achieve a conversion rate of 12.89%, outperforming campaigns lacking it by a wide margin. This dramatic improvement highlights the power of precise targeting combined with Viant’s advanced CTV tools. For marketers, this translates to impactful storytelling supported by tangible results.  “CTV drives high-level brand awareness via sight, sound, motion, and emotion, but it also powers activity through the funnel.” Tom Wolfe, SVP Business Development, Viant  AI is streamlining marketing from start to finish AI is transforming advertising by automating tasks like performance tracking and audience segmentation, allowing marketers to focus on strategy and creativity. At Viant, AI is part of the company’s DNA, helping marketers drive more efficient and effective campaigns.  With real-time data insights and streamlined processes, teams can quickly refine messaging and optimize budgets. This efficiency not only saves time but also empowers marketers to channel their energy into creating impactful strategies that resonate with their audiences. The integration of AI into Viant’s ecosystem also simplifies overall workflows, optimizing campaign execution from start to finish. With performance tracking made easier and segmentation automated, marketers can rely on data accuracy and actionable insights to make confident decisions.  How Experian and Viant work together Experian's syndicated audiences—demographic, auto, TV, FLA (Financial Fair Lending Act), and more—are available within Viant's platform. Experian's partnership with Viant enables the deployment of custom audiences specifically designed to meet distinct campaign objectives. Together, Experian and Viant provide solutions that support first-party data strategies, third-party data integration, CTV optimization, AI-driven insights, and identity resolution, creating a cohesive and privacy-forward marketing ecosystem.  “At Viant, we focus on the sensible, scalable, impactful opportunities.” Tom Wolfe, SVP Business Development, Viant  Watch the full Q&A Visit our Ask the Expert content hub to watch the full conversation with Tom and Ali and learn more about Viant’s scalable identity solutions.  About our expert Tom Wolfe, SVP Business Development, Viant  As SVP of Business Development at Viant, Tom and his team forge strategic business partnerships that fuel the company's growth and business strategy. He is a seasoned industry veteran with more than 25 years of expertise in content distribution, advertising, and technology, particularly in CTV. Throughout his career, Tom has played a pivotal role in establishing and managing multiple businesses at major companies such as Roku, TiVo, YuMe, and Comcast. Additionally, he has provided valuable advisory services to organizations including VIZIO, Vice Media, and many others across the ecosystem. Tom holds a B.A. in Political Science from Lehigh University and has shared his knowledge as a guest lecturer at both New York University and Drexel University.  Latest posts

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 Brian Chisholm, SVP of Strategic Partnerships at OpenX.   About OpenX OpenX is an independent omni-channel supply-side platform (SSP) and a global leader in supply-side curation, transparency, and sustainability. Through its 100% cloud-based tech stack, OpenX powers advertising across CTV, app, mobile web, and desktop, enabling publishers to deliver marketers with improved performance and dynamic future-proofed solutions. With a 17-year track record of programmatic innovation, OpenX is a direct and trusted partner of the world’s largest publishers, working with more than 130,000 premium publisher domains and over 100,000 advertisers. As the market leader in sustainability, OpenX was the first AdTech company to be certified as CarbonNeutral™ and third-party verified for achieving its SBTi Net-Zero targets. Learn more at www.openx.com.  Collaboration solves programmatic challenges Could you share the story behind the partnership between OpenX and Experian and how this collaboration differs from typical data-provider/DSP or SSP relationships in the market? What unique challenges in programmatic advertising does this partnership solve?   OpenX first partnered with Experian in 2019 when we were building the industry’s first data-driven supply-side curation platform. Being the only SSP with a proprietary people-based identity graph (further enriched by Experian) gives OpenX a unique set of capabilities that are only growing in value in the market. We are seeing retail media networks, large agency planning platforms, and indie and specialty shops lean into OpenX’s tools to match, activate, and measure people-based audiences through our robust curation platform and premium supply.   Enhancing campaigns with data enrichment How does combining Experian's marketing data with OpenX's technology create tangible benefits for advertisers, agencies, and publishers?    Last year, we expanded our partnership with Experian to enrich our digital IDs with Experian’s Digital Audiences, essentially making Experian data available directly to marketers across all OpenX supply and formats, including CTV. For marketers, this direct integration increases both match and activation rates. Meaning, not only do we match more of the starting audience universe to our system, we then provide more opportunities to identify and transact on those users in the bidstream. The result is greater reach for buyers even in previously unaddressable environments like Safari or mobile web – and publishers benefit from the increased addressability OpenX provides their supply.   Delivering impactful inventory solutions OpenX has been enhancing its curation offerings beyond just providing curated marketplaces. Could you describe the strategic shift you’re making in how you package and deliver inventory?    At OpenX, we have a broader and more dynamic view of curation. It’s not just about gathering data or bundling inventory; it’s about layering on identity-based precision, enabling the targeting of the right audiences with premium, brand-safe inventory for our clients.  We saw the value of curating inventory and audiences on the supply side early on.  We started by building capabilities for our own exchange and then found that our approach created tremendous value for data owners and marketers alike. Over the past five years, we’ve been continuously investing our curation platform capabilities to super serve those partners. As a result, we have what we think is by far the most robust and flexible platform in the market.  We can match and integrate with any kind of data, curate supply at a granular level, activate audiences and help measure outcomes in multiple ways. We also provide turnkey integrations to third-party platforms.  Balancing customization with scalability in deals There's often tension between customization and scalability when it comes to curated deals. How does OpenX strike the right balance to meet varied advertiser objectives while ensuring operational efficiency for publishers?   Truthfully, we’re not finding that scale suffers with curation. We currently have 237 million monthly active users in our exchange that we can match and activate curated deals against. That’s a unique claim for an SSP, and we back it up with our identity graph. This directly benefits our publishers who see a 20% increase in overall bid density and a 118%+ increase in win rate for curated deals vs. open market.    Data-driven curation done on the supply side offers efficiency and drives results for buyers, while publishers are able to activate their own first-party data programmatically, increase their monetization, and maximize the value of their inventory.  As the industry continues to adapt to a privacy-first, consent-based ecosystem, data-driven curation will play a key part in ensuring both sides of the marketplace continue to thrive.   Driving results with CTV curation Connected TV is arguably the most dynamic channel in programmatic right now. How do curation improvements accelerate more precise or outcome-based targeting in CTV environments?    I want to take this a step further and say that biddable is the future of CTV. Not only does biddable enable advertisers to purchase closer to campaign activation, it gives buyers the option to curate deals, flexibility, addressability and ease of transacting at will. No minimums, no commitments.    Our CTV strategy has been centered around combining flexibility, efficiency, and real-time optimization capabilities with access to premium, direct, glass-on-wall inventory. TV by OpenX, powers the direct activation of curated audiences at scale through data-driven, contextual, attention, and sustainability offerings.    What does this mean for buyers?  Advertisers can choose from any one of OpenX’s 250+ data partners, including Experian, to target an audience via CTV inventory using OpenX’s cross-platform identity graph. This setup allows buyers to increase scale and optimize toward their desired campaign outcomes via their preferred DSP. The focus on inventory quality and scale combined with advanced targeting curation provides a key driver of performance in CTV.  Identity resolution for better CTV measurement In a channel as fragmented as CTV, measuring performance can be complex. What role does identity resolution play in better measurement and attribution? How do Experian's identity capabilities integrate within your platform to drive measurable outcomes?   We talked about the value of audience targeting via curation above. Another critical driver is our ability to power true closed-loop measurement for advertisers or partners like retail media networks. OpenX is able to provide automated log-level reporting via BIDS, which includes exposed IDs from our proprietary ID graph back to our partners in near real time.    This closed-loop attribution enables partners to measure real-world outcomes like ROAS, conversion rates and incrementality. Insights and learnings from data can then be used to make optimizations mid-campaign, to further improve performance. Measurement starts with having a strong foundation to identity resolution – which Experian helps us achieve.   Tailoring audience strategies in the auto sector The automotive vertical demands highly specific audience insights—everything from in-market signals to lifestyle and aftermarket service and parts data. How does the Experian–OpenX partnership enhance audience strategies in auto?   Experian’s deterministic data, combined with the OpenX identity graph, empowers buyers with identity tools to create targeted audience segments of likely auto intenders. For verticals that have high customer acquisition costs like auto, these insights are particularly valuable, as buyers often struggle to identify their audiences at scale in environments that drive campaign performance.   Experian’s automotive data is one of our most requested audiences from buyers. We match Experian’s high-quality data directly to our platform, often leveraging Experian’s IDs, which leads to greater scale and fidelity. In addition, our platform can curate supply to a granular level to drive results for buyers.  Complying with evolving privacy regulations With data privacy regulations multiplying—like GDPR, CCPA, and others—how does OpenX’s direct connection with Experian ensure responsible data usage and compliance?    At OpenX, we don’t see privacy regulations as a challenge but rather an opportunity. Instead, it’s a key differentiator for us. We’ve had a strong focus on data and identity since 2017, and we believe that if you’re talking about these topics but not talking about privacy, you’re missing an important piece of the equation.   Regardless of the environment — CTV, mobile, app, or web — in today’s privacy-focused world, success in data and identity is inseparable from a commitment to privacy. We support this obligation with dedicated leadership that helps our partners navigate evolving global regulations, including critical areas like child-directed content under new laws from Australia to Maryland.  Thanks for the interview. Any recommendations for our readers if they want to learn more? To learn more about our solutions and partnership opportunities, visit the OpenX website or contact your Experian account representative to schedule your free match test.  Contact us About our expert Brian Chisholm, Senior Vice President of Strategic Partnerships, OpenX  Brian Chisholm is the Senior Vice President of Strategic Partnerships at OpenX, where he spearheads the curation, data, and identity efforts. He and his team have been instrumental in building out OpenX’s industry-leading curation platform and partnerships.   With more than two decades of experience in digital media, Brian has developed partnerships that leverage and expand OpenX’s core technology assets and deliver material value for the company’s buyer, publisher, and platform partners. Before joining OpenX, Brian held senior roles at innovative startups and digital stalwarts, including Overture/Yahoo, SpotRunner, and Apptera.  Latest posts

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 Eric Shiffman, VP of Product Marketing at Yieldmo.  Here are five key takeaways from Eric’s insights: Tailored campaigns with Experian data: Yieldmo integrates Experian’s trusted identity and audience data to deliver creative campaigns tailored to specific audiences, ensuring more meaningful engagement.  Omnichannel activation made easy: Experian’s data marketplace helps Yieldmo expand its reach across display, mobile, and CTV, creating seamless cross-channel advertising strategies.  Advanced targeting and insights: The combination of Yieldmo’s attention signals and Experian’s identity solutions allows advertisers to pinpoint audiences with precision and confidence.  Driving results in key verticals: Retail, CPG, and automotive campaigns use Experian data on Yieldmo’s platform to achieve improved personalization, targeting accuracy, and measurable outcomes.  Scalable and privacy-conscious advertising: Yieldmo’s partnership with Experian ensures scalable solutions that balance advanced targeting with privacy-focused practices, benefiting advertisers across all industries.  About Yieldmo Yieldmo often describes itself as ‘the creative and media results company,’ using a predictive, provocative, and proven approach. Could you give us a brief overview of how this vision shaped the company and how you differentiate yourselves in ad tech?  Yieldmo was built on the belief that every ad experience should be as engaging and human centered as the content around it. By merging creative excellence with advanced technology and AI, we enable advertisers to deliver custom ad formats that spark emotion and inspire action. Our proprietary attention signals and predictive format selection allow brands to optimize for outcomes before impressions are served. This approach, combined with privacy-safe inventory curation, ensures that our solutions stand out in their ability to deliver both creativity and results.  Creative and inventory performance You’re known for delivering premium experiences across top-tier publishers. What strategies or innovations does Yieldmo employ to boost creative performance, increase engagement, and optimize inventory for your partners?  At Yieldmo, we emphasize the fusion of creative and media. We utilize predictive AI and a vast dataset to generate, customize, and match creatives with the right audiences and page contexts, enabling proven performance and learnings. On the supply side, we elevate publisher inventory by aligning high-quality ads with relevant content in innovative, non-intrusive creative formats. This dual focus ensures that every impression is primed for engagement, delivering tangible value to advertisers and optimal monetization for publishers.  Partnership with Experian As a partner of Experian, how do our identity and audience data complement Yieldmo’s platform, and why do you see this collaboration particularly beneficial for the broader advertising industry?  Experian’s robust identity and audience data ​strengthen Yieldmo’s ability to serve precisely tailored creative experiences. By integrating Experian’s insights with our proprietary attention signals and AI-driven predictive systems, we can ​optimize ​audience targeting and engagement strategies. This​ partnership represents​ the advancement of outcome​-driven advertising while giving brands the confidence of reaching the right consumers in meaningful ways.  Interest in Experian's data marketplace Experian recently introduced a new data marketplace aimed at simplifying data partner audience activation across display, mobile, and CTV. Which elements of this offering are most exciting from your perspective, and how do you anticipate it shaping Yieldmo’s solutions?  The unified approach of Experian’s data marketplace to streamline audience activation aligns seamlessly with Yieldmo’s vision of delivering data-driven creative optimization. The ability to activate comprehensive data sets across multiple channels​ expands​​ ​our omnichannel solutions, bringing precision and scalability to advertisers. Lately, we have focused resources on delivering thoughtful, cross-channel creative experiences, so aligning audiences to those is a logical extension.   Verticals using third-party data From your experience, which verticals or industries are most likely to activate third-party data campaigns on Yieldmo’s platform, and have you observed any emerging trends in how advertisers use data from Experian or other providers?  The retail,​ CPG, and automotive industries have been leading adopters of third-party data, using it to fine-tune targeting and personalize their messaging. Recently, we’ve noticed a shift toward bringing more post campaign measurement insights to the supply side–brand lift, foot traffic, conversion–for better optimization, whereas historically this valuable dataset was trapped in buy-side platforms.   Data utilization and success stories Could you share how Yieldmo’s data-driven approach has evolved and any standout success stories that highlight your platform’s impact and value to partners?  Yieldmo has always prioritized data to inform creative decisioning, from predictive ad placements to real-time optimization. In this award-winning Humane Society case study, we utilized media curation and predictive creative to drive a >170% CTR increase, 5x the campaign benchmark, leading to more page visits and donations.   Thanks for the interview. Any recommendations for our readers if they want to learn more? To learn more about our solutions and partnership opportunities, visit the Yieldmo website or contact your Experian account representative to schedule your free match test.  Contact us About our expert Eric Shiffman, Vice President of Product Marketing, Yieldmo Eric Shiffman is a product marketing leader with extensive experience in advertising technology. At Yieldmo, he drives strategies that blend AI, creative optimization, and privacy-conscious solutions to deliver measurable creative and media results. Eric ​translates​​ ​complex technologies into actionable messaging, positioning, and insights, and evangelizing products and solutions. His expertise spans creative optimization, data-driven advertising, CTV, and audience solutions.  Latest posts

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 Rachel Herbstman, VP of Data Innovation, and Anastasia Dukes-Asuen, Senior Director of Advanced TV Data & Insights at Ampersand. Could you introduce us to Ampersand and discuss your approach to TV advertising? Ampersand, a joint venture between Comcast, Charter, and Cox, is a media sales organization that offers a unified footprint, unlocking unparalleled scale and unique data/insights for local and national advertisers. Ampersand gives advertisers true audience first planning, scale in execution, and advanced measurement of their TV investments, representing 117 million multiscreen households and over 75% of addressable households in the U.S. (64 million households). We help clients reach their unique target audience and deliver their stories – anytime, anywhere, and on whatever device. How does adding streaming to a linear campaign, or vice versa, enhance overall campaign performance for marketers?  Herbstman: Marketers have recognized that multiscreen media strategies are the strongest as viewership continues to fragment. Unique audiences exist in traditional TV and streaming, and failure to include either media channel will reduce the total reach opportunity. These channels have proven to validate unduplicated audiences. In our local business, adding streaming to a historically traditional linear-only media strategy increased campaign reach by 33%. Conversely, adding linear TV to a historically streaming-only media strategy increased reach by 209%. These metrics are validated by matching media exposures to an authenticated households subscriber ID and represent mass opportunities to reach new audiences with a multiscreen media strategy. When considering reallocating media investments, how does Ampersand help clients determine the most effective channels for specific campaigns?  Herbstman: For a brand that historically invested in traditional TV, either national or local broadcast, we can provide insights to analyze the performance of any media campaign. The insights can include high-level metrics like reach and frequency and more granular metrics like unique reach per network. By seeing both the high-level results and more detailed granularity, we can provide optimization recommendations for funding other activation opportunities. Our database of past campaigns consistently demonstrates that gaining new eyeballs with a national TV campaign usually plateaus after a few weeks. In other words, if most of your intended audience is reached after about three or four weeks of national television, reaching any new viewers can be exponentially more expensive. We’ve built an Addressable Simulator tool for national advertisers that shows the potential impact of shifting a portion of the national media weight, specifically from the latter part of a flight, into addressable TV. Using our licensed Experian data set, we can measure any standard age/gender target or any advanced target to understand the complementary impact that addressable audience has on national media. This tool has dynamic inputs of CPMs and incidence rates, flight lengths, and budgets to simulate different scenarios and give marketers some intelligence on what holistic reach against that Experian segment they could expect with one given budget using brand-safe, traditional, and streaming inventory with an addressable activation. Additionally, we've developed an interactive eCPM calculator that helps national advertisers assess the cost efficiency of adding addressable TV to their traditional campaigns. By dynamically inputting CPMs, marketers can evaluate tradeoffs between media types for upcoming campaigns. Are there audience demographics that benefit from these combined media strategies, and what indicators or data points guide your recommendations to add cable to a local broadcast campaign versus other reallocations? Herbstman: By including cable or streaming in a local effort, a client can use a data-driven approach to find more intended viewers in other premium content. Utilizing the vast library of Experian audience segments paired with our robust sample of 64 million data-enabled homes enables Ampersand to provide insights into the most valuable networks and dayparts that the intended viewer will likely watch on either platform.  With identity and viewing insights at scale, we can understand how consumers watch TV, even for inventory we have yet to sell. Our goal is to help marketers understand what’s happening as a result of their investments at a holistic level. We can analyze a campaign running across hundreds of designated market areas to quickly and simply understand the holistic delivery of their broadcast and cable weight by pulling back set-top-box exposures on broadcast and Ampersand-purchased cable on our measurable footprint. Then, we can determine the share of measurable reach that each portion’s media weight contributes to. We recommend optimizing towards a more balanced approach, where the reach levels for broadcast and cable mirror each other, creating a more effective market media mix. Once we confirm cable's potential in a market, we analyze network and daypart metrics to adjust key areas to optimize the campaign. We invite marketers to use these insights to measure their local or national TV campaign performance and garner unique perspectives to re-balance investments to drive reach and optimal frequencies. Are there common missteps to avoid? Dukes-Asuen: Ampersand's decades of experience with media and data insights have allowed us to create an extensive database complete with targeting and measurement benchmarks. We use this database to curate best practices for brands and help set them up for success, keeping their goals and objectives for reach and frequency in mind.  Some clients spread their investment levels too thin, whether through short flight windows, low weekly frequencies, or targeting overly niche audiences that don't fully support KPI goals. One way to avoid these missteps is to set up a test-and-learn plan to validate a hypothesis and refine media strategies, ensuring campaigns are structured to garner meaningful insights. Ampersand can help ensure the test itself is constructed and supported to yield statistically relevant results, and the learnings can then be applied to the next campaign. How does Experian’s data enhance your campaigns at Ampersand?  Dukes-Asuen: Within our Experian license, we can map the Experian Consumer View databases against our multichannel video programming distributors subscriber base in a privacy-compliant way to plan and activate them seamlessly. Experian has a rich set of audience targets and segmentation that we utilize to identify households that can be used for audience-based media execution with Ampersand. By defining the right audience—whether consumers are likely to purchase a product, exhibit certain behaviors, or demonstrate specific values—we enhance campaign performance and improve media spending efficiency for our advertisers. Additionally, how do you believe AI and other new technologies will impact your media buying approaches in the future, and how might these innovations improve campaign effectiveness and provide value to your clients? Herbstman: We have a strong use case on the measurement and analytics end. Using AI, we can aggregate a massive amount of historical data—viewership and exposure data. AI helps us understand overarching market trends and media performance to analyze campaign results and inform future campaign optimizations. The value of AI is in its role as an additional technology layer, enriching our insights portfolio and providing faster intelligence that enhances campaign effectiveness and delivers greater value to our clients. Can you share an example of how precise audience targeting and segmentation, powered by Experian, have led to significantly better media spend reallocations and campaign performance for marketers? One great example is how a national cruise brand dramatically improved its media spend and campaign performance by utilizing precise audience targeting and segmentation through Experian. By combining Ampersand’s addressable TV with Experian’s data-driven insights, they achieved a 14% incremental reach, a 3.1x higher frequency, and a 24% lower effective CPM. This strategic approach allowed them to reallocate their media spending more effectively, ensuring every impression reached their custom target audience. Thanks for the interview. For those interested in learning more about Ampersand, reach out for a personalized consultation. Contact us Latest posts

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

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). Watch now 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! Latest posts

With the back-to-school season approaching, marketers are preparing to engage both eager students and parents. Our Q&A video with Experian experts shares our predictions and tips for the 2024 back-to-school season so you can craft effective back-to-school marketing campaigns. From early campaign launches to the rise of online shopping and budget-conscious consumer behaviors, let’s explore what lies ahead and how brands and agencies can prepare. Watch the highlights from our video below. Three trends for the 2024 back-to-school marketing season Campaigns will start earlier We expect back-to-school marketing efforts to kick off earlier than usual. Brands will launch campaigns with special promotions to secure mind and market share ahead of competitors. Additionally, the traditional back-to-school season is extending, urging marketers to prolong their campaigns to capture the attention of consumers who are taking more time to make purchasing decisions. Online shopping will continue to rise The surge in online shopping during the pandemic has become a lasting trend – and is especially appreciated by busy parents seeking convenience. Brands should focus on enhancing online and mobile shopping experiences, including options for in-store pickup and delivery. Marketers should prioritize their online presence and optimize e-commerce platforms, including experimenting with shoppable ads on connected TV (CTV), to meet the needs of families shopping for back-to-school supplies. Budget consciousness is top of mind With inflation on the rise and tighter budgets at home, households are becoming more selective in their back-to-school spending. Marketers should align their efforts with value-driven products and prioritize advertising that resonates with these financial priorities. Strategies for brands and agencies Next, let's explore strategies brands and agencies can use to prepare for the upcoming back-to-school season. Brands First, we'll highlight three recommended strategies for brands. Maintain an evergreen presence Launch your back-to-school campaigns early and maintain a steady presence throughout the season. Experian's TrueTouchTM audience insights can guide your channel selection for maximum impact, helping you decide on key channels such as email, digital video, or specific social media platforms. Build loyalty programs that deepen customer relationships Use your customer data to create loyalty programs that foster stronger connections with your audience. By using insights from Experian, you can gain a holistic understanding of customer profiles and identify potential back-to-school prospects within your existing customer base. On average, Experian has 250 behavioral and demographic marketing attributes per individual, which means we can decorate households and people with marketing data to get a full customer profile and fill in any gaps you have on your audience. Prioritize value and convenience Offer flexible shopping options like in-store, online, and buy online, pick up in-store (BOPIS) to cater to busy families. Partner with services like Shipt or Instacart to streamline shopping experiences. Agencies Now, we'll share two ways agencies can effectively prepare for the back-to-school season. Engage early and extend your campaigns Initiate conversations with brands earlier to ensure timely planning and execution. Extend campaign durations to capture late-decision makers. Adapt your channel strategies Shift focus to digital channels like CTV and social media, aligning with evolving consumer habits and preferences. Experian works with major platforms, marketers, and agencies, which means we have existing partnerships across the ecosystem for you to connect with and bring your consumer data to life to meet your needs. Watch the full Q&A The 2024 back-to-school season promises new challenges and opportunities for marketers. By starting campaigns earlier, optimizing online experiences, and aligning with budget-conscious consumers, brands and agencies can position themselves for success. Watch our full Q&A video where our experts cover: Tactics we predict marketers will employ to navigate signal loss Which channels will be the most successful Recommended audiences for targeting And more! Watch now Latest posts

The digital advertising landscape is undergoing a significant transformation with the gradual deprecation of third-party cookies. This shift necessitates the adoption of new strategies for audience targeting and data management. In our next Ask the Expert segment, we explore this evolution, discussing new strategies for audience targeting and data management in a world without cookies.  We’re joined by industry leaders, Gabe Richman, Senior Director of Data Partnerships at The Trade Desk, and Chris Feo, Experian’s SVP of Sales & Partnership who spotlight The Trade Desk’s innovative approach to navigating a cookieless future. Tune in to our Q&A below to learn more about these topics and learn how the collaborative efforts of Experian and The Trade Desk offer a glimpse into the future of advertising.  Cookieless IDs are the new face of identity in advertising  Traditional tracking and targeting techniques are being replaced by more advanced and privacy-conscious methods. Unified I.D. 2.0 (UID2), led by The Trade Desk, exemplifies this shift, offering a new identifier based on encrypted email addresses or phone numbers. This approach not only caters to the evolving privacy regulations but also places greater control in the hands of consumers. UID2’s design fundamentally differs from cookies since it is rooted in transparency and consumer consent.  UID2: A catalyst for industry-wide adoption  UID2’s journey reflects a rising industry-wide recognition of its value across the industry. The adoption of UID2 by major publishers, demand-side platforms, and advertisers indicates a shift toward more sustainable and consumer-friendly approaches to identity in advertising. This is particularly evident in areas like connected TV (CTV), where UID2 is rapidly becoming a currency and standard.  “The purpose of UID2 is not only to create a better ID for advertisers and publishers to achieve their objectives, but also to benefit the consumers. Unlike cookies, UID2 provides transparency and control to the consumers for the first time.”gabe richman, sr. director, data partnerships, the trade desk How Experian and The Trade Desk work together   The partnership between The Trade Desk and Experian goes beyond adapting to the absence of cookies. Our joint efforts highlight a commitment to developing solutions that cater to advertiser’s needs while respecting consumer privacy, a balancing act becoming increasingly crucial in today’s digital ecosystem. The Trade Desk's emphasis on UID2 as a foundational element in the open web, campaign design, and activation is a testament to the potential of new identifiers in enhancing advertising efficacy. Similarly, our ability to utilize these identifiers to deliver detailed audience insights offers advertisers a powerful tool to remain effective in a post-cookie world.  Experian’s role in the adoption of UID2   Experian's integration strategies have played a critical role in diversifying the applications of UID2. By partnering with The Trade Desk, we help broaden the reach and effectiveness of UID2 across various advertising channels. In terms of reach – by incorporating a prominent cookieless ID, we further amplify the reach of UID2. The increased adoption of this new ID allows the digital ecosystem the ability to interact using an alternative identifier, thereby broadening the potential audience. In terms of effectiveness – we help advertisers serve relevant ads to the right audiences, ensuring the relevance of the ads and control over their frequency.  Targeting with Geo-Indexed audiences  The Trade Desk works with Experian to ingest and host our syndicated audiences. This partnership gives The Trade Desk’s clients access to over 2,400 syndicated audiences that span across eight verticals. This includes access to our new Geo-Indexed audiences that allow brands to reach consumers and households based on geographic regions that over-index for a common set of attributes, ultimately offering brands a targeting solution that prioritizes both consumer privacy and accuracy.  What a future beyond cookies looks like  Looking ahead, the focus in advertising is not solely on replacing cookies but on a broader evolution of the industry. This includes continuing to apply machine learning technologies, like artificial intelligence (AI), to enhance ad personalization and effectiveness. The interplay between creative content, audience insights, and privacy-compliant targeting will become increasingly important as the industry evolves. As cookies become a thing of the past, the initiatives spearheaded by The Trade Desk and Experian will likely set the tone for the next era of digital advertising, and emerging solutions like UID2 are leading the way.  Watch the full Q&A  Visit our Ask the Expert content hub to watch Gabe and Chris' full conversation about cookieless advertising. In their conversation, Gabe and Chris share more about UID2, consumer transparency, and the importance of consumer data for targeted advertising.  Watch now About our experts Gabe Richman, Sr. Director, Data Partnerships, The Trade Desk Gabe Richman is the Senior Director of Data Partnerships at The Trade Desk where he focuses on global identity strategy and platform partnerships as well as driving UID2 and EUID adoption across the broader ecosystem. Prior to joining The Trade Desk in 2021, Gabe held various roles in AdTech at HealthVerity, Wunderkind and LiveRamp. For the last decade Gabe has taken pride in helping advertisers and platforms alike demystify the complex identity landscape and embrace the change needed to preserve the open internet. Gabe is a graduate of the University of Maryland and resides in Los Angeles. 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! Latest posts

Centralized data access is emerging as a key strategy for advertisers. In our next Ask the Expert segment, we explore this topic further and discuss the importance of data ownership and the concept of audience as an asset. We're joined by industry leaders, Andy Fisher, Head of Merkury Advanced TV at Merkle, and Chris Feo, Experian’s SVP of Sales & Partnerships who spotlight Merkle's commitment to centralized data access and how advertisers can use our combined solutions to navigate industry shifts while ensuring consumer privacy. Watch our Q&A to learn more about these topics and gain insights on how to stay ahead of industry changes. The concept of audience as an asset In order to gain actionable marketing insights about your audience, you need to identify consumers who are actively engaged with your brand and compare them against non-engaged consumers, or consumers engaged with rival brands. Audience ownership Audience ownership is a fundamental marketing concept where marketers build, define, create, and own their audience. This approach allows you to use your audiences as an asset and deliver a customized journey to the most promising prospects across multiple channels. With this strategy, you enhance marketing effectiveness and ensure ownership over your audience, no matter the platform or channel used. Merkle enables marketers to own and deploy said asset (audience) so that marketers can have direct control over their audience. With audience strategy, you can tie all elements together – amplify your marketing reach, while maintaining control of your audience. Merkle connects customer experiences with business results. Data ownership Data ownership refers to the control organizations have over data they generate, including marketing, sales, product, and customer data. This data is often scattered across multiple platforms, making it difficult to evaluate their effectiveness. Alternatively, owning this data, which is typically housed in a data warehouse, allows the creation of historical overviews, forecasting of customer trends, and cross-channel comparisons. With advertisers and publishers both claiming ownership over their respective data and wanting to control its access, there has been a growing interest in data clean rooms. Data clean rooms The growing interest in data clean rooms is largely due to marketers increasing preference to maintain ownership over their audience data. They provide a secure environment for controlled collaboration between advertisers and publishers while preserving the privacy of valuable data. Data clean rooms allow all parties to define their usage terms – who can access it, how it is used, and when it is used. The rise in the use of data clean rooms strengthens data privacy and creates opportunities for deeper customer insights, which leads to enhanced customer targeting. Data clean rooms unlock new data sets, aiding brands, publishers, and data providers in adapting to rapidly changing privacy requirements. Why is centralized data access important? Centralized data access is crucial for the effective organization and optimization of your advertising campaigns. It involves consolidating your data in one place, allowing for the identification of inconsistencies. Merkle’s Merkury platform The concept of centralized data is a key component of Merkle’s Merkury platform, an enterprise identity platform that empowers brands to own and control first-party identity at an individual level. A common use case involves marketers combining their first-party data with Merkury's data assets and marketplace data assets to build prospecting audiences. These are later published to various endpoints for activation. The Merkury platform covers three classes of data: Proprietary data set – Permissioned data set covering the entire United States, compiled from about 40 different vendors Marketplace data – Includes contributions from various vendors like Experian First-party data from marketers – Allows marketers to bring in their own data Merkury's identity platform empowers brands to own and control first-party identity at an individual level, unifying known and unknown customer and prospect records, site and app visits, and consumer data to a single, person ID. This makes Merkury the only enterprise identity platform that combines the accuracy and sustainability of client first-party data, quality personally identifiable information (PII) data, third-party data, cookie-less media, and technology platform connections in the market. End-to-end management of data Data ownership and management enables you to enhance the quality of your data, facilitate the exchange of information, and ensure privacy compliance. The Merkury platform provides a comprehensive, end-to-end solution for managing first-party data, all rooted in identity. Unlike data management platforms (DMPs) that are primarily built on cookies, the Merkury platform is constructed on a person ID, allowing it to operate effectively in a cookie-free environment. A broader perspective with people-based views The Merkury platform is unique because it contains data from almost every individual in the United States, providing a broader perspective compared to customer data platforms (CDPs) which only contain consumer data. The platform provides a view of the world in a people-based manner, but also offers the flexibility to toggle between person and household views. This enables you to turn data into actionable insights and makes it possible to target specific individuals within a household or consider the household as a whole. How Experian and Merkle work together Experian and Merkle have established a strong partnership that magnifies the capabilities of Merkle's Merkury platform. With Experian’s robust integration capabilities and extensive connectivity opportunities, customers can use this technology for seamless direct integrations, resulting in more effective onboarding to various channels, like digital and TV. "Experian's role in Merkury's data marketplace is essential as they are considered the gold standard for data. It significantly contributes to our connectivity through direct integrations and partnerships. Experian's presence in various platforms and technologies ensures easy connections and high match rates. Our partnership is very important to us."andy fisher, head of merkury advanced tv Through this partnership, Merkle can deliver unique, personalized digital customer experiences across multiple platforms and devices, highlighting their commitment to data-driven performance marketing. Watch the full Q&A  Visit our Ask the Expert content hub to watch Andy and Chris's full conversation about data ownership, innovative strategies to empower you to overcome identity challenges, and navigating industry shifts while protecting consumer privacy. Tune into the full recording to gain insights into the captivating topics of artificial intelligence (AI), understanding how retail networks can amplify the value of media, and the growing influence of connected TV (CTV). Dive into the Q&A to gain rich insights that could greatly influence your strategies. Watch now About our experts Andy Fisher, Head of Merkury Advanced TV As the Head of Merkury Advanced TV, Andy's primary responsibility is driving person-based marketing and big data adoption in all areas of Television including Linear, Addressable, Connected, Programmatic, and X-channel planning and Measurement. Andy has held several positions at Merkle including Chief Analytics Officer and he ran the Merkle data business. Prior to joining Merkle, Andy was the EVP, Global Data & Analytics Director at Starcom MediaVest Group where he led the SMG global analytics practice. In this role, he built and managed a team of 150 analytics professionals across 17 countries servicing many of the world’s largest advertisers. Prior to that role, Andy was Vice President and National Lead, Analytics at Razorfish, where he led the digital analytics practice and managed a team of modeling, survey, media data, and business intelligence experts. He and his team were responsible for some of the first innovations in multi-touchpoint attribution and joining online/offline data for many of the Fortune 100. Andy has also held leadership positions at Personify and IRI.  Andy holds a BA in mathematics from UC Berkeley and an MA in statistics from Stanford. 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! Latest posts