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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with 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

Discover how retail media standardization can streamline your marketing efforts, enhance campaign efficiency, and drive better results.

With over one billion shoppers eagerly preparing to shop for gifts, decorations, and seasonal essentials, now is the perfect time to refine your marketing tactics and connect with these shoppers. With holiday retail sales set to reach $1.37 trillion, it’s time to unwrap holiday spending insights to ensure that your holiday advertising campaigns light up the festive season. The holiday shopping frenzy offers marketers and retailers a chance to capture attention, drive sales, and build lasting customer relationships. In this blog post, we’ll reveal holiday shopping audiences, including 19 new audiences, designed for you to reach the most relevant shoppers for your campaigns. These audiences are available for activation on-the-shelf of most major ad platforms, including TV and programmatic. You can find the complete audience segment name in the appendix. 2024 Holiday spending trends and insights report Download our latest report for data-driven insights you can use to refine your messaging and reach the right audience in their preferred channels this holiday season. Download now Holiday shopping styles It's important to understand how your holiday shopper “shops,” with individual shopping styles varying from a last-minute dash to the store to the one-stop shopper. One in three consumers anticipate beginning their holiday shopping before October this year, with Millennials and Gen Xers being the most proactive, due to concerns about items running out of stock. In contrast, 42% of Boomers are generally less inclined to shop early, wanting to start their holiday shopping in November or December. All generations are motivated to shop early by discounts.1 By choosing and activating the right audience segments, you can deliver messages that resonate with the consumer's preferred shopping style, ensuring your holiday campaign will align with their shopping preferences and behaviors. Here are five audiences that you can activate based on shopping style: Last-Minute Holiday Shoppers One Stop Holiday Shoppers/Power Shoppers: In-Store or Online Impulse Buyers eCommerce Diehards Brick & Mortar Diehards Discount-seeking shoppers The holiday season is a time of giving, but also saving! Consumers are driven to shop early by discounts and early sales -- 52% of consumers said discounts are their biggest motivator to shop early. Price is another crucial factor -- 47% of consumers said price is the most important factor when deciding where to shop during the holiday season. Major holiday shopping events, such as Thanksgiving Day, Black Friday, and Cyber Monday, are expected to attract a significant portion of consumers this upcoming year.2 Here are eight audiences you can activate to reach discount-seeking shoppers: NEW! Discount Holiday Shoppers NEW! Cyber Monday Holiday Shoppers NEW! Black Friday Holiday Shoppers NEW! Big Box/Club Stores Holiday Shoppers NEW! Online Coupon Users TrueTouch: Online Coupon Site Department Store Deal Shoppers: In-Store or Online Post Holiday Shoppers Gift givers Holiday shoppers are torn between saving and splurging. Nearly a third of consumers anticipate spending more on holiday shopping this year, while the same number of consumers say they’ll be spending less. Boomers anticipate spending the most on gift cards, Gen Z on clothing, and Millennials on toys, electronics, and experiences.3 Given holiday shoppers' varied spending habits, it's important to target the right audience segments to maximize your impact. Targeting specific audience segments allows advertisers to better reach those most interested in their products. Here are six audiences you can activate to target gift givers: NEW! Luxury Gift Shoppers NEW! Holiday Shopping High Spenders NEW! Holiday Shopping Moderate Spenders NEW! Holiday Charitable Donations High Spend Gift Shoppers Heavy Buyer/Spenders Holiday Shoppers: In-Store or Online Holiday travelers In 2023, nearly three million travelers passed through airports on the Sunday after Thanksgiving alone. Take advantage of the busy travel season with our audience segments. By targeting specific travel preferences and behaviors, you can capture the attention of individuals planning trips this holiday season. Here are seven audiences to tailor your campaign according to travel preferences: NEW! Holiday International Travelers NEW! Holiday Travel-Train NEW! Holiday Budget Savvy Airline Travelers Vacation/Leisure Travelers: Domestic Trips Air Travel (FLA/Fair Lending Friendly)4 Vacation/Leisure Travelers: Frequent Spenders Hotels: Frequent Spend When you work with Experian, you work with a single data provider that gives you access to audiences across multiple verticals and categories, such as travel and retail. Targeted advertising this holiday season with Experian audiences The holiday season is the busiest time of the year for advertisers. Experian's data, ranked #1 in accuracy by Truthset, allows advertisers to reach people based on demographic, geographic, and behavioral attributes (e.g. websites visited and purchase history). By using Experian’s audiences in your holiday advertising campaigns, you can reach last-minute shoppers, discount-seeking shoppers, gift-givers, and holiday travelers. Just as shoppers seek the perfect gifts, with the right strategy, your holiday advertising campaigns can capture the right shoppers this holiday season. Can’t find the audience you’re looking for or need a custom audience? Connect with our audience team for more information. 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 Footnotes Online survey conducted in June, 2024 among n=1,000 U.S. adults 18+. Sample balanced to look like the general population on key demographics (age, gender, household income, ethnicity, and region). n = 204 Gen Z, n = 234 Millennials, n = 270 Gen X, n = 272 Baby Boomers. Online survey. Online survey. “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 Here are the complete audience segment names (taxonomy paths) for all audience segments discussed in this blog post. Holiday shopping styles Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Last-Minute Holiday Shoppers Retail Shoppers: Purchased Based > Seasonal > Holiday Shoppers: One Stop Holiday Shoppers/Power Shoppers: In-Store Retail Shoppers: Purchased Based > Seasonal > Holiday Shoppers: One Stop Holiday Shoppers/Power Shoppers: Online TrueTouch: Communication Preferences > Purchase Behavior > Impulse buyers Retail Shoppers: Purchase behavior > Shopping Behavior > In-Store vs. Online: eCommerce Diehards Retail Shoppers: Purchase behavior > Shopping Behavior > In-Store vs. Online: Brick & Mortar Diehards Discount-seeking shoppers NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Cyber Monday NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Black Friday NEW! Retail Shopper: Purchase Based > Seasonal > Holiday Shoppers: Big Box/Club Stores Shoppers NEW! Retail Shoppers: Purchase Based >> Discount Holiday Shoppers NEW! Retail Shoppers: Purchased Based > Shopping Behavior > Online Coupon Users TrueTouch: Communication Preferences> Purchase Behavior > Online Coupon Site Retail Shoppers: Purchased Based > Shopping Behavior > Department Store Deal Shoppers Online Spenders Retail Shoppers: Purchased Based > Shopping Behavior > Department Store Deal Shoppers In-Store Spenders Retail Shoppers: Purchased Based > Seasonal > Holiday Shoppers: Post holiday Gift givers NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Luxury Gift Shoppers NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: High Spenders NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Moderate Spenders NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday Charitable Donations Retail Shoppers: Purchase Based > Shopping Behavior > Gift Shoppers High Spend Spenders Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Heavy Buyer/Spenders: Online Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Heavy Buyer/Spenders: In Store Holiday travelers NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday International Travelers NEW! Retail Shoppers: Purchase Based > Seasonal> Holiday Travel-Train NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday Budget Savvy Airline Travelers Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Domestic Trips Lifestyle and Interests (Affinity) > Travelers > Air Travel (FLA/Fair Lending Friendly) Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Frequent Spenders Retail Shoppers: Purchase Based > Travel > Hotels: Frequent Spend Latest posts

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

This holiday shopping season, marketers will look to take advantage of the surge in spending across channels like connected TV (CTV), programmatic, and mobile. Despite challenges such as privacy regulations and Google's new cookie deprecation plan, this moment presents a unique opportunity for marketers to reshape their traditional approaches to consumer engagement and capitalize on these changes.  As we approach the holiday season, understanding how consumers spend, where they shop, and how their shopping habits are changing are key components to consider when crafting your holiday advertising campaigns. Our 2024 Holiday spending trends and insights report utilizes our expertise in data and insights to highlight emerging consumer behaviors and spending patterns. In our report, we share what these trends mean for marketers and how Experian can help, so you can refine your messaging and target the right audience through the best channels. In this blog post, we cover three insights from our report. Watch our video for a recap below. 1. Consumers are shopping evenly throughout the holiday season 35% of holiday shopping was done in December, peaking at 9% of total holiday sales the week before Christmas. Cyber Week, the five-day period between Thanksgiving and Cyber Monday, and the week before Christmas brought the highest weekly sales for the past two holiday seasons. What this means for marketers Prepare for an extended promotional period. Schedule your marketing campaigns and sales initiatives to maximize impact during the extended season, focusing on the peaks of Cyber Week and the week before Christmas. How Experian can help you target these shoppers Experian's data, ranked #1 in accuracy by Truthset, offers advertisers the ability to reach people based on demographic, geographic, and behavioral attributes (e.g. websites visited and purchase history).  Our audiences are available on-the-shelf of most major platforms, making it easy for you to activate and target holiday shoppers. We recently released 19 new holiday-focused audience segments. Here are a few you can activate: Black Friday Shoppers  Cyber Monday Shoppers  Big Box/Club Store Shoppers  Luxury Gift Shoppers  Discount Holiday Shoppers  Holiday Airline Travel  2. Online shopping is leveling out Online holiday spending continues to remain around a third of all holiday shopping spending. We are starting to see online shopping slow and level out – people are going back in-store. The high amount of online shopping we saw during the pandemic is starting to return to pre-pandemic behaviors.  Consumers are spending more in-store at department and discount stores but are shopping online for office/electronics/games, mass retailers, and apparel. 84% of holiday shopping was done in-store for discount stores. 79% of holiday shopping was done in-store for department stores. 64% of holiday shopping was done online for office, electronics, and games stores. What this means for marketers Digital and physical experiences work together. Retailers should have a multi-channel plan to reach consumers, tailoring their approach to their target audience and product and creating engaging in-store experiences to drive visitors.  How Experian can help you target and measure across channels We connect online and offline data to enable precise targeting and measurement of marketing efforts across multiple channels. Read our case study with Cuebiq to learn how they used our Activity Feed solution to deliver in-store lift analyses to their clients.  3. CTV is the top channel to reach consumers Over two-thirds of the U.S. population now use CTV, and the average time spent among adults is expected to surpass two hours per day in 2024. CTV offers a creative ad experience similar to its linear counterpart but provides more sophisticated targeting and analytics capabilities.  What this means for marketers As CTV viewing continues to dominate, the importance of cross-device targeting and measurement increases. How Experian can help you reach shoppers across devices Later this year, we’ll add support for IPv6 in our Digital Graph as well as phone-based UID2s. This is in addition to our current coverage of IPv4 and email-based UID2s. As a result, all IP signals and UID2s will be resolved back to Experian’s household and individual profiles and their associated devices, which means marketers and platforms can better understand the full customer journey and reach people across their devices. Download our 2024 Holiday spending trends and insights report This holiday season is about more than just transactions – it’s about cultivating meaningful connections with your audience. Download our 2024 Holiday spending trends and insights report to access all of our predictions for this year's holiday season. Download now When you work with Experian for your holiday shopping campaigns, you're getting:   Accurate consumer insights: Better understand your customers' behavioral and demographic attributes with our #1 ranked data covering the full U.S. population. Signal-agnostic identity solutions: Our deep understanding of people in the offline and digital worlds provides you a persistent linkage of personally identifiable information (PII) data and digital IDs, ensuring you accurate cross-device targeting, addressability and measurement.   Secure connectivity: Bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing the integrations we have across the ecosystem, and using our marketing data in flexible ways.     Make the most of this holiday shopping season with Experian. Contact us today to get started.  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

Experian is excited to announce a solution tailored for retail media networks (RMNs). This offering enhances RMNs' strength in first-party shopper data by using Experian’s #1 ranked identity and audience services. Experian’s solution helps RMNs unlock expanded customer insights, enriched audiences for activation, identity resolution for cross-channel audience targeting, and real-time measurement and attribution. This comprehensive solution is designed to help RMNs capture more advertising revenue. Helping RMNs maximize revenue with audience and identity solutions As traditional brands continue to harness their rich first-party data, retail media has exploded as a new category for marketers to reach high-value audiences. Understanding the challenges RMNs face – such as expanded audience insights, cross-platform reach, and programmatic addressability – Experian’s solution transforms these challenges into lucrative opportunities. By partnering with Experian, RMNs will learn more about their customers, reach their customers beyond their owned and operated platforms, and show return on ad spend (ROAS) as customers move from ad exposure through to purchase. Solutions to drive growth As retail media continues to evolve with new players entering the space and existing players strengthening their positions, success depends on having a comprehensive understanding of your customers and effectively monetizing that knowledge. Experian’s solution – from identity and audience foundations to scaling inventory – offers several benefits to help RMNs grow their revenue: Identity resolution: While every RMN has a unique set of authenticated first-party data captured offline (e.g. personally identifiable information) or online, it only provides the RMN with a handshake tied to a subset of that customer or household’s addressable identity footprint. By partnering with Experian, RMNs will better understand their customers across the offline and digital worlds by utilizing the Experian Graph and our connection to 126 million households, 250 million individuals, and 3.8 billion digital IDs. Expanded insights: In addition to ensuring your data is clean and accurate, we can build detailed customer profile reports that help RMNs understand their customers beyond category buyers or purchase history. With actionable insights at your fingertips to enrich your customer profile, you can help advertisers precisely reach both your high-value customers and build accurate look-a-like audiences across both offline and digital channels. Create audiences: Enrich your first-party data with Experian Marketing Data – or our expanded network of Partner Audiences - to build custom segments for your advertisers to target. With over 5,000 marketing attributes, RMNs can offer advertisers the ability to go beyond category buyers and fill in any gaps on your customers, such as demographics, media preferences, and behavioral attributes. Maximize reach and distribution: Experian’s recent Third-Party Onboarding release empowers RMNs to easily move their audiences from their owned and operated platforms and into programmatic, TV, and social channels. This helps unlock the monetization of their audiences through Experian’s network of over 20 platforms, including The Trade Desk, Magnite, and others. With our self-service platform, native integrations, simple pricing, and best-in-class customer service, it is an “easy button” to extend the reach of your audiences and drive more revenue. Demonstrate success: Prove your network’s value with third-party measurement validation that you can promote to advertisers to drive increased spending. Experian’s Activity Feed solution helps you measure performance – and understand how ads impact shopping behavior – by providing you with data to connect ad exposures in one environment (e.g., web or connected TV) to an action in another (e.g., digital or in-store purchase). Case study: How Experian enhanced addressability for a leading RMN One of the leading retail media networks has been working with Experian since 2021 to help understand their customers, organize and expand their rich first-party shopper data, and activate across the digital ecosystem. Ahead of recent changes in digital addressability and privacy, Experian helped this RMN not be overly reliant on third-party cookies and anchored its first-party shopper data to more stable digital IDs like mobile ad IDs (MAIDs), hashed emails (HEMs), CTV IDs, and Unified I.D. 2.0 (UID2). The results show that the addressability of their first-party shopper data increased by almost 300% across their owned and operated platforms and programmatic activation channels. The byproduct of expanded addressability is the persistence in reach and measurement of their audiences throughout the entire consumer journey. “Accurate data is the backbone of effective retail media strategies, and Experian’s top-tier data solutions are critical for precise targeting and audience delivery. Experian’s advanced capabilities in data onboarding, customer audiences, and robust identity graphs allow advertisers to seamlessly reach the right audiences.”Art Sebastian, CEO, NexChapter Inc. The Experian edge Experian powers data-driven advertising through connectivity. Here’s what sets us apart and ensures that your RMN is set up to win in this highly competitive and complex space: Persistent identity: We can help you find and reach your customers across the digital and offline world. Our deep understanding of people in the offline and digital worlds provides you with a persistent linkage of PII data and digital identifiers, ensuring you rich insights, accurate targeting across devices, improved addressability and measurable advertising. High-quality data: Better understand your customer's behavioral and demographic attributes with our #1 ranked data covering 126 million households, 250 million individuals, and 3.8 billion digital IDs. We will make sure your data is clean, accurate, and can be used how you want. Superior connectivity: We bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing our integrations across the ecosystem, and using our marketing data flexibly. Compared to the competition, Experian’s Third-Party Onboarding capabilities offer data providers a 50% increase in programmatic addressability and a 73% increase in CTV addressability. Partner with Experian to achieve retail media success Experian's comprehensive data and identity solutions can help RMNs maximize their opportunity. Our goal is to ensure you capture the most advertising dollars and make your RMN operate at its peak performance. Connect with a member of our team to learn how we can support your journey toward RMN success. Connect with us 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

Dive into our analysis of Black Friday 2023 trends to discover key insights that will shape marketing strategies for Black Friday 2024.