Our next segment in our Ask the Expert series dives into the importance of data enrichment and its benefits across connected TV (CTV) advertising. Ask the Expert features a series of conversations with product experts where we focus on topics that matter the most in AdTech. In our latest segment, Natalia Irmin, Director of Strategic Data & Media Partnerships at a4 Advertising, joins us to chat with Experian’s SVP of Sales & Partnerships, Chris Feo.
a4 is an advanced advertising and data company that offers audience-based, multiscreen advertising solutions for local and national advertising businesses.
In their conversation, Natalia and Chris review:
- The benefits of data enrichment
- First-party data enrichment across advertising
- Data enrichment in CTV advertising
- How Experian and a4 work together
What is data enrichment?
Data enrichment enhances first-party data sets using third-party data sources. This process involves merging first-party data from internal sources with data gathered from other internal sources or from external third-party sources.
Examples of data that can be part of the enrichment process include:
- Demographic information
- Contextual signals
- Behavioral patterns
- Interests
- Purchase-intent
The more you know about your customers, the better equipped you are to reach them where they are with the right message. By enriching your data, you can enhance your messaging, provide personalized offers, and establish a loyal customer base.
First-party data enrichment across advertising
Businesses are transitioning from cookie-based third-party targeting to first-party data enrichment solutions as a result of cookie deprecation. When data enrichment is paired with internal first-party data, you can generate a more holistic customer profile.
a4 has a rich set of first-party data, based on the subscriptions to their services. a4 uses first-party data enrichment across advertising in two ways:
- Measure performance using their viewership data
- Advise their customers on where they should focus their advertising efforts based on the customer’s viewing behavior
a4 supports the enrichment of their customers’ first-party data so they can get the most out of their insights.With Experian’s privacy-first approach, a4 can continue to rely on their first-party data while protecting personally identifiable information (PII).
Data enrichment in CTV advertising
CTV advertising refers to digital advertising that appears through a streaming service during a viewer’s video content, like a movie or TV show. CTV ad campaigns allow businesses to personalize their digital marketing messages while the viewer watches content on various platforms. CTV offers a highly measurable opportunity to increase brand awareness.
Benefits of data enrichment in CTV advertising
Data enrichment provides three key benefits that can enhance targeting, personalization, and campaign effectiveness in CTV advertising.
Understand your target audience
By using enriched data such as demographic information, viewing behavior, and interests, you can gain deeper insights into your target audience, refine your targeting strategies, and create highly personalized ad experiences. Data enrichment also enables better measurement and optimization of ad campaigns, maximizing ROI.
Integrate enriched data with other marketing channels
You can integrate enriched data into CTV with data from other marketing channels. This enables the creation of comprehensive and cohesive marketing strategies that provide consistent messaging and enhance cross-channel targeting.
Enhance the value of ad inventory
Data enrichment can also benefit content publishers and broadcasters by enhancing the value of ad inventory and providing more targeted and effective advertising opportunities.
Enabling your marketers to target specific audiences will result in improved campaign performance. Through data enrichment, you can increase return on your ad spend and boost the value of your publisher’s ad inventory. a4 and Experian can help your business attract additional demand with audience enrichment. a4 uses Experian’s vast offering of audiences and combines it with Experian’s Graph. This data can later be used to activate across a4’s parent company, Altice’s owned and operated properties, as well as beyond Altice’s own footprint via premium publisher partners.
How Experian and a4 work together
a4 and Experian have a long-standing partnership that enables a4 to enhance its data. Through our Consumer View and Consumer Sync products, a4 can add audience attributes to its subscriber and viewer data to precisely pinpoint the audience that its clients are targeting. Experian helps a4 in building a comprehensive customer profile, which helps expand the customer base for a4’s advertising clients.
We form partnerships, like we do with Experian, to enhance our data further, so that we can combine the power of the viewership and exposure data for those other attributes that clients might need.” – Natalia Irmin, Director, Data & Strategic Partnerships, a4 Advertising
Through Experian’s audience attributes and Graph, a4 can assist advertisers in targeting audiences beyond their usual reach, creating a better user experience. a4 can personalize experiences and promotions to prioritize customers with a higher likelihood of making a purchase. By tailoring messages and promotions to individual customer preferences, businesses can improve their advertising efforts and deliver them through their preferred channels.
Watch the full Q&A
Visit our Ask the Expert content hub to watch Natalia and Chris’s full conversation about data enrichment and its benefits across the advertising world. In the Q&A, Natalia and Chris also share their thoughts on the importance of first-party data enrichment, addressability, and measurability in CTV advertising.
About our experts
Natalia Irmin, Director, Strategic Data & Media Partnerships, a4 Advertising
Natalia Irmin is the Director of Strategic Data & Media Partnerships for a4 Advertising. With over 10 years of experience working with data in the Defense, Finance, and Advertising industries, Natalia currently leads the a4 Strategic Partnerships team in the development of advanced data and media products in support of the organization’s media planning, buying, and advanced analytics business. Natalia holds an MBA from the NYU Stern School of Business and a Bachelor of Arts from Tel Aviv University in Israel.
Chris Feo, SVP, Sales & Partnerships, Experian
As SVP of Sales & Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats!
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping 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
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