Experian, the leader in powering data-driven advertising through connectivity, is thrilled to unveil our latest solution, Digital Graph and Marketing Attributes. This joint solution supplies marketers and platforms with the insights and connectivity needed to understand who their customers are and reach them across digital channels.
The uncertainty around third-party cookies in Chrome and the overall decline in signal complicates the industry’s ability to reach the right consumer. Omnichannel media consumption results in scattered data, making it harder for marketers and platforms to understand consumer behavior and reach them across channels. These challenges call for a comprehensive solution.
Our Digital Graph and Marketing Attributes solution addresses these challenges by providing identifiers for seamless cross-channel engagement. By adding Marketing Attributes, like demographic and behavioral data, marketers and platforms also gain a better understanding of their customers. This solution uses Experian’s Living Unit ID (LUID) to combine offline and digital data, giving customers deeper insights into consumer behavior, greater audience reach, and improved cross-channel visibility.
Benefits of Digital Graph and Marketing Attributes
Both our Digital Graph and Marketing Attributes provide value to clients as standalone products. When clients license our Digital Graph and Marketing Attributes joint solution, they have more data at their fingertips, unlocking:
- Consumer connectivity: When clients license Experian’s Digital Graph, they get access to digital identifiers like mobile ad IDs (MAIDs), connected TV (CTV) IDs, hashed emails (HEMs), and universal IDs so they can target the right consumers with the relevant messages across all digital media channels.
- Consumer insights: Experian’s 5,000 Marketing Attributes provide our clients with detailed consumer information and insights, such as age, gender, purchase behaviors, and content consumption habits. Marketing Attributes help clients create more relevant messaging and informed audience segmentation.
Client examples
How OpenX offers richer targeting and more connectivity with Experian
OpenX is an independent omni-channel supply-side platform (SSP) and a global leader in audience, data, and identity-targeting. With industry-leading technology, exceptional client service, and extensive scalability across all formats, including CTV, app, mobile web, and desktop, OpenX has a legacy of innovating products that enhance buyer outcomes and publisher revenue while addressing complex challenges in programmatic.
In recent years, OpenX has licensed Experian’s Digital Graph with identifiers, contributing to the SSP’s largest independent supply-side identity graph, which offers advanced audiences to buyers and improved data resolution to content owners.
More recently, OpenX licensed Experian’s Marketing Attributes to enrich its supply-side identity graph, which includes IPs, MAIDs, and client IDs, with a variety of attributes. This strategic move has helped OpenX’s clients benefit from enhanced consumer insights and addressability, in turn delivering greater reach to the demand side and higher revenue for publishers, despite industry signal loss.
“We built on our long-term partnership with Experian to enrich our digital IDs with Experian’s Marketing Attributes, which help provide buyers better insights to audiences, thereby helping our publishers monetize their inventory. With partners like Experian, OpenX effectively facilitates the value exchange between demand and supply, ensuring our partners are able to drive results for their business in the era of signal loss”
Craig Golaszewski, Sr. Director of Strategic Partnerships, OpenX
How StackAdapt licenses our product bundle to address three different use cases
StackAdapt is the multi-channel programmatic advertising platform trusted by marketers to deliver exceptional campaigns. They drive superior results through a variety of solutions, like contextual and first-party targeting, brand lift measurement, and optimization through insights.
StackAdapt licensed a similar yet unique product combination, our Digital Graph and our Audiences. StackAdapt uses the Digital Graph to allow clients to onboard their first-party data in a seamless, self-serve manner that allows them to further segment their data using Experian Audiences.
“StackAdapt has been recognized as the most trusted programmatic platform by marketers, and with the integration of Experian’s Digital Graph and Audiences, we are strengthening our leadership in the space. This partnership improves our ability to deliver precise cross-channel segmentation, reach, and measurement, helping advertisers run more successful campaigns. Our collaboration with Experian allows us to offer a differentiated solution in the market and ensure our clients can deliver the most precise and impactful ads to their audiences.”
Denis Loboda, Senior Director of Data, StackAdapt
We recently announced a new partnership with StackAdapt. This collaboration brings the power of Experian’s identity graph, syndicated and custom audiences directly to the StackAdapt platform. Read the full details in our press release here.
Four ways to use Digital Graph and Marketing Attributes
When these two products come together, our clients have a 360-degree view of their consumers, which helps them power four critical use cases:
- Analytics and insights: Learn more about your consumers by connecting our Marketing Attributes with our Digital Graph’s identifiers. For example, a retailer can discover that their recent customers over-index as pickleball fans and players, leading the retailer to sponsor a professional pickleball event.
- Inventory monetization: When supply-side partners know their audience better, they can attract advertisers in search of that audience. For example, a publisher might find out that their audience is full of pickleball fans, leading them to reach out to brands that want to reach this audience.
- Activation: Companies with access to more digital identifiers from our Digital Graph can reach more people, while controlling frequency across channels. A company might know that they want to reach pickleball fans. Now, they have the digital identifiers needed to reach pickleball fans across all digital channels where they consume content, leading to increased reach.
- Measurement and attribution: Use the Digital Graph’s support for various digital identifiers to understand all consumer touchpoints, from media impressions to conversions. Then, lean on our Marketing Attributes to determine who your messaging resonated with. For example, a company uses our Digital Graph to know if it was the same individual who was exposed to an ad on CTV and converted via e-commerce. On top of that, the company can use our Marketing Attributes data to find out that the people who purchased were overwhelmingly pickleball fans.
Connect with us to learn more about how our Digital Graph and Marketing Attributes joint solution can provide the data and insights you need to create, activate, and measure cross-channel media campaigns.
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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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