Healthcare organizations have invested heavily in digital engagement over the past decade. Patient portals. CRM platforms. Campaign automation. Consumer data platforms. And yet, personalization in healthcare still feels stuck.
Outreach is often generic. Preventive care reminders go unopened. Screening campaigns underperform. Value based care programs struggle to engage the very patients they are designed to support.
I hear a version of the same frustration from health system and life sciences leaders. Their engagement stack keeps expanding, but their impact on the patient experience remains limited.
While many healthcare organizations have abundant data, most have an identity and context gap.
Personalization stalls when identity never moves beyond the EHR
A diagnosis tells you what care is needed, but it doesn’t tell you how to reach someone, when they are most receptive, or what barriers might prevent follow-through.
When identity stops at the electronic health record (EHR), engagement becomes a series of educated guesses about a real person’s needs, preferences, and circumstances.
Patients don’t live inside the EHR
Consider how most preventive outreach works today. A patient leaves the hospital with instructions and a recommended follow-up appointment, and the system triggers a standard sequence of reminders.
The intent is right. The execution is usually constrained by missing context.
- Will they see the message in the channel you chose?
- Is a caregiver involved in coordinating next steps?
- Is the barrier logistics, or clarity on what to do next?
These factors determine whether follow-up happens. They also determine whether “personalization” actually feels personal, or just automated.
In other industries, personalization advanced by connecting transactional data with behavioral and household context. In healthcare, those signals remain separate to protect patient data, often resulting in a disconnect between strong clinical insights and effective patient engagement.
Connecting the dots is the hard part
There’s a common narrative that healthcare needs more data to improve personalization. In practice, the bigger challenge is connecting what you already have in a way teams can trust. Identity, preference, household context, and engagement history often live in different systems, and they rarely resolve cleanly to a usable profile.
A privacy-safe identity foundation changes that. When organizations can link records across sources with strong match discipline, governance, and tokenization, they can turn fragmented data into more relevant decisions without exposing more than is necessary.
Watch our Q&A with Cristin Liberatore from IQVIA Digital on healthcare marketing
How we approach this at Experian
At Experian, this is the lens we use:
What privacy-safe identity makes possible in regulated patient engagement
In regulated categories, accuracy, governance, and privacy are non-negotiable. That’s why I push teams to think about identity as infrastructure, because people move, households change, and preferences shift.
At Experian, that infrastructure includes:
- Marketing Attributes and Enrichment: Adding context to first-party data so planning and decisioning reflect the person you’re trying to reach.
- Offline and Digital Graphs: Connect identity across touchpoints so experiences stay consistent as people move between channels.
- First-Party Onboarding and data marketplace: Activate consented consumer and patient data across digital environments in a privacy-safe way. Our data marketplace extends that strategy with third-party partner segments, improving your personalization efforts to encourage a more proactive approach to healthcare.
- Curated Deals: Support upper-funnel awareness by aligning audience insight with higher-quality inventory in environments that can improve visibility, context, and campaign efficiency.
Watch our healthcare marketing panel from CES 2026
Identity must come first in healthcare marketing
Healthcare personalization has plateaued because engagement strategies have stayed too narrow and disconnected from the realities that shape follow-through.
The next phase of healthcare engagement will be defined by organizations that treat identity and additional patient context as the foundation for decisioning, activation, and measurement. When identity connects to real-world context through privacy-safe, governed, and tokenized practices, outreach becomes more relevant, easier to receive, and easier to act on.
About the author
Kevin Dunn
Chief Revenue Officer, Experian
Kevin Dunn joins Experian Marketing Services with more than 20 years of leadership experience across marketing and advertising technology, most recently serving as Senior Vice President of Brands and Agencies at LiveRamp. In that role, he led growth across retail, CPG, travel, hospitality, financial services, and healthcare, overseeing new business, account expansion, and channel partnerships.
Kevin is known for building cohesive, accountable teams and leading with optimism, clarity, and a strong sense of shared purpose. His leadership philosophy centers on empowering people, driving positive outcomes for clients and fostering a culture where teams can grow, take smart risks, and succeed together.
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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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