
Delivering personalized customer experiences is essential, with 81% of customers preferring a personalized approach to their relationships with brands. However, 80% of consumers are concerned about how their data is used, presenting businesses with the challenge of balancing data collection and privacy with personalization.
Despite consumer appetite for personalization, many organizations lack the data to make data-driven decisions: 68% of businesses don’t understand how their customers think, and 82% don’t confidently know their customers’ pain points.
Without this critical data, businesses cannot effectively create personalized consumer connections. Experian offers businesses robust and unique data through our Marketing Attributes to empower businesses with the insights required to derive accurate insights into consumers and drive personalized experiences.
How Experian can help businesses with their data acquisition needs through Marketing Attributes
Experian’s Marketing Attributes allow businesses to license Experian’s data attributes in part or full to provide reliable and accurate data solutions. These solutions assist companies in finding, reaching, and influencing their customers. They are supported by rigorous quality and privacy controls which has earned Experian a #1 data accuracy ranking by Truthset helping our clients reach people based on who they are, where they live, and what they do.
Experian has built a strong foundation of consumer behavioral and demographic data with over 5,000 attributes available across over 15 categories and verticals, helping our clients gain deep insights into their consumers. Below we go through five common use cases we have seen using Experian’s data to power various business initiatives.
Exploring everyday use cases for Experian’s Marketing Attributes
1. Understand areas of the country where your products or services are underserved
For instance, a brand offers a diverse range of products that cater to various market segments and audience personas. They seek to gain a deeper understanding of geographic distribution to refine their marketing strategies. Specifically, they aim to identify which market areas are currently underserved, presenting a valuable opportunity for targeted marketing campaigns to boost product adoption in regions that have not fully embraced their offerings.
Utilizing Marketing Attributes from Experian, the brand can access detailed data aggregated at the geographic level. This data provides crucial insights into markets where their products have seen limited adoption yet show a strong potential for success based on the preferences of their target audiences. This approach will help the brand strategically direct its marketing efforts to areas with high growth potential.
2. Better understand consumers who purchase within a category
Brands frequently operate based on assumptions regarding their customers’ preferences and interests, yet they may lack the comprehensive data necessary to substantiate these beliefs.
Experian’s Marketing Attributes provides brands with access to extensive data across 15 diverse verticals and categories. This wealth of information allows businesses to develop a holistic understanding of their customer base, enabling them to validate their assumptions and uncover valuable insights into customer behaviors. By utilizing this data, brands can significantly enhance their marketing strategies, refine their product offerings, and implement personalized tactics that resonate with their audiences on a deeper level.
3. Reach a new segment of the market for a new product offering
Introducing a new product to a new segment of the market presents unique brand challenges. Without any historical customer data to draw upon, companies lack vital insights that could help them identify and reach their target audience. This absence of foundational knowledge makes it challenging to understand consumer preferences, craft suitable messaging, or determine the most effective channels for connecting with potential customers.
To navigate these hurdles, brands frequently turn to Marketing Attributes for consumer research within the new segment. Analyzing demographics, common behaviors within a geographic region, or previous purchase behaviors can uncover patterns and preferences among potential customers. This deeper understanding enables them to create tailored audience models, allowing brands to develop and activate customized messaging based on common interests, identify channels consumers are most likely to engage by using TrueTouch data from Experian.
4. Create custom lookalike models based on your current customers
We have found brands trying to launch an acquisition campaign to look at consumers whose behaviors and interests closely mirror those of their highest-converting customers. However, they often lack the necessary data to find new customers that look like their most loyal base.
To address this gap, they turn to Marketing Attributes in combination with Experian’s Offline Graph or Digital Graph, which allow them to pinpoint and analyze the key characteristics and behaviors that define their top customers and reach these consumers on digital or offline channels. Marketing Attributes power the insights into their client’s behaviors and Experian’s Offline or Digital Graph create the linkage to their customer base. Using these insights, the brand can develop a distinct audience model tailored to reflect their most successful customers’ unique traits and preferences. This customized approach will help them reach potential new customers who will likely engage and convert.
5. Develop unique audience products
We have seen clients use their own first-party data alongside Experian Marketing Attributes and other data sets they own or lease. With Experian’s Offline Graph or Digital Graph, they can connect the different data sources together to create a tailored audience solution that meets the specific needs of the brand’s clients and the requirements of their market segment.
Exploring joint solutions
Combining Experian’s Offline Graph with Marketing Attributes
Many customers use Experian’s Offline Graph with Marketing Attributes to connect Experian’s data to the brand’s offline marketing strategy. Experian’s Offline Graph offers companies a license of stable offline data points, like name, address, phone number, email, geographic, date of birth, and more that provide a complete view of household and individual identities.

Powering use cases like:
- Regional consumer insights for marketing strategy, media activation, product and location planning
- Offline media activation, including direct mail, telemarketing, out-of-home, and more
- Client-driven enrichment
The combination of Offline Graph and Marketing Attributes provides unmatched consumer connectivity, enabling clients to generate custom insights, inform product strategy, and activate marketing campaigns. Offline Graph acts as the link between consumers insights and activation.
Combining Experian’s Digital Graph with Marketing Attributes
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.
Transform insights into loyalty with Experian’s Marketing Attributes
Experian’s Marketing Attributes enable businesses to gain valuable insight into their prospects and customers. Through this deeper understanding, they can deliver personalized experiences while successfully navigating the complexities of data acquisition and privacy. This helpful information allows brands to make strategic, informed decisions that enhance their marketing efforts. Ultimately, these insights foster more substantial, meaningful connections between businesses and their customers, leading to enhanced customer satisfaction.
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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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