Consumers engage with content and advertisements across various devices and platforms, making an identity framework essential for establishing effective connections. An identity framework allows businesses to identify consumers across multiple touchpoints, including the relationships among households, individuals, and their devices. Combined with a robust data framework, businesses can understand the relationship between households, individuals, and marketing attributes. Consequently, businesses can tailor and deliver personalized experiences based on individual preferences, ensuring seamless consumer interactions across their devices.
We spoke with industry leaders from Audigent, Choreograph, Goodway Group, MiQ, Snowflake, and others to gather insights on how innovations in data and identity are creating stronger consumer connections. Here are five key considerations for advertisers.
1. Embrace a multi-ID strategy
Relying on a single identity solution limits reach and adaptability. Recent data shows that both marketers and agencies are adopting multiple identity solutions. By embracing a multi-ID strategy with solutions like Unified I.D. 2.0 (UID2) and ID5, brands can build a resilient audience targeting and measurement foundation, ensuring campaigns remain effective as identity options evolve across channels.
A diversified identity approach ensures that advertisers are not left vulnerable to shifts in technology or policy. By utilizing multiple ID solutions, brands can maintain consistent reach and engagement across various platforms and devices, maximizing their campaign effectiveness.
“I don’t think it will ever be about finding that one winner…it’s going to be about finding the strengths and weaknesses and what solutions drive the best results for us.”
Stephani Estes, GroupM
2. Utilize AI and machine learning to enhance identity graphs
Identity graphs help marketers understand the connections between households, individuals, their identifiers, and devices. This understanding of customer identity ensures accurate targeting and measurement over time. AI and machine learning have become essential in making accurate inferences from less precise signals. These technologies strengthen the accuracy of probabilistic matches, allowing brands to understand consumer behavior more effectively even when data fidelity is lower.
Adopting a signal-agnostic approach and utilizing various ID providers enhances the ability to view consumers’ movements across platforms. This strategy moves measurement beyond isolated channels, providing a holistic understanding of campaign effectiveness and how different formats contribute to overall performance. By integrating AI and machine learning into identity graphs, advertisers can develop more cohesive and effective marketing strategies that guide customers seamlessly through their buying journey.
“What we’re finding is more and more identity providers are using Gen AI to locate connections of devices to an individual or household that maybe an identity graph would not identify.”
David Wells, Snowflake
3. Balance privacy with precision using AI
AI-driven probabilistic targeting and identity mapping provide effective solutions for privacy-focused advertising. Rather than relying on extensive personal data like cookies, AI can use limited, non-specific information to predict audience preferences accurately. This approach allows advertisers to reach their target audience while respecting privacy—a crucial balance as the industry shifts away from traditional tracking methods.
According to eMarketer, generative AI can further enhance audience segmentation through clustering algorithms and natural language processing. These tools enable more granular, privacy-compliant targeting, offering advertisers a pathway to reach audiences effectively without needing third-party cookies.
“I think the biggest opportunity for machine learning and AI is increasing the strength and accuracy of probabilistic matches. This allows us to preserve privacy by building models based on the features and patterns of the consumers we do know, instead of transmitting data across the ecosystem.”
Brian DeCicco, Choreograph
4. Activate real-time data for better engagement
Real-time data enrichment introduces dynamic audience insights into the bidding process, enabling advertisers to respond instantly to user actions and preferences. This agility empowers marketers to craft more relevant and impactful moments within each campaign.
“Real-time data enrichment–where data companies can have a real-time conversation with the bid stream–is an exciting part of the future, and I believe it will open the door to activating a wide variety of data sets.”
Drew Stein, Audigent
5. Create and deploy dynamic personas using AI
Generative AI transforms persona-building by providing advertisers with richer audience profiles for more precise targeting. This approach moves beyond traditional demographic categories, allowing for messaging that connects more meaningfully with each consumer.
By using generative AI to craft detailed personas, advertisers can move beyond generic messaging to create content that truly resonates on an individual level. This personalized approach captures attention and strengthens consumer relationships by addressing their specific needs and interests.
“One cool thing we’ve built recently is a Gen AI-based personas product that generates personas to create highly sophisticated targeting tactics for campaigns.”
Georgiana Haig, MiQ
Seize the future of data-driven engagement
Focusing on these five key innovations in data and identity allows you to adapt to the evolving media landscape and deliver personalized experiences to your audience.
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Privacy-forward pharma media supports more informed healthcare journeys Effective pharma marketing depends on reaching patients, caregivers, and healthcare professionals (HCPs) with useful information in appropriate, privacy-forward ways. The goal is to make relevant education easier to find, support more informed conversations, and help brands understand how media contributes across the health journey. In this Ask the Expert session, Natalie Mancuso, SVP, Data Partnerships at DeepIntent, joins Sheila Wirick, who leads the health team at Experian, to discuss how to craft patient and HCP campaigns, privacy-safe activation workflows, connected TV (CTV), and measurement approaches built for pharma. Why should your media plan start with understanding the patient and provider The patient-and-provider journey should inform your media plan, as treatment decisions in pharma are increasingly informed, personal, and patient-driven. With more health information available than ever, patients are playing a more active role in understanding their options and participating in treatment conversations. As other industries become more customer-centric, pharma media planning needs to become more patient-centric. “We’ve got patients who are more informed, more involved in their treatment decisions than ever. The accessibility of data and information and the ways we can consume it with just AI alone is so vast that if we’re not arming people with the right information in real time, we’re missing the boat.”Natalie Mancuso, SVP, Data Partnerships This means media should be aligned to where a patient or provider is in the decision journey and what they need at that moment. Early on, media may play an educational role by building awareness of a condition, symptom, or treatment category. Later, it may help support more specific questions, treatment consideration, access, affordability, or adherence. The patient-provider conversation remains the key boundary. That exchange should stay private and clinically led. Media can play a valuable role before and after those moments by offering information that helps patients and providers feel more informed. How can brands connect patient and HCP messaging responsibly? It’s critical for agencies and brands to deliver relevant messaging to inform each stakeholder’s needs throughout the treatment journey, especially ahead of key clinical milestones. To execute this, brands must exercise privacy-forward activation, keeping patient and HCP identity, activation, and measurement paths separate, while using a common workflow layer to support the same brand goal. Experian helps pharma marketers do this by acting as an independent, privacy-forward identity, data, and workflow layer. We bring together high-fidelity matching, governed onboarding, and non-clinical consumer context, so patient and HCP engagement can be activated more accurately across channels and connected to reporting. The distinction is not only where each audience is reached. HCPs may be engaged in both professional and personal environments, but their needs are different from patients’. For example, an HCP may receive messaging about co-pay savings for eligible patients, while a patient may receive information about patient support programs. These are different messages for different audiences, but they ladder up to the same goal: informing both parties in a privacy-forward, relevant way. Hear from Natalie Mancuso in our 2026 State of advertising report In our 2026 State of advertising report, Natalie shares why identity serves as the connective infrastructure that links planning, activation, and measurement across connected TV (CTV), programmatic, commerce media, and walled garden environments. Download the report Watch Natalie’s Q&A What does privacy-forward activation look like in pharma? Pharma brands often start with fragmented patient and HCP signals. Privacy-forward activation turns those inputs into usable audiences by first confirming that the data can be used, then translating identity in controlled environments that protect personally identifiable information through tokenization or other methodologies. For DTC, that means building and matching audiences without relying on inferred health conditions from browsing behavior. For HCPs, it means connecting professional identity to verified sources in a way that supports activation and measurement. In a category shaped by HIPAA, state privacy laws, internal review, and consumer sensitivity, building privacy in from sourcing through activation is what makes responsible health media possible. How can CTV play a more useful role in pharma? CTV can play a more useful role in healthcare when it’s connected to a larger, privacy-forward plan and not treated as just an awareness channel. DeepIntent connects CTV and digital exposure data using identity signals, such as National Provider Identifiers (NPIs), hashed email addresses, IP addresses, device IDs, and household signals, where permitted and reviewed. That identity layer helps support sequencing and suppression across streaming, endemic, mobile, and digital settings. In practice, CTV can introduce targeted education or broad brand awareness, and later touchpoints can provide sequential information in the right channels. Instead of repeating the same message, brands can make pivots based on engagement and context. “For us, it starts with identity and not panels. When we’re resolving CTV and digital exposures to the same person, we’re leveraging signals so that every touchpoint across streaming, endemic, and mobile is recognized as the same individual, not model lookalikes.”Natalie Mancuso, SVP, Data Partnerships For pharma, campaign performance should not be measured by reach alone. A stronger approach looks at whether sequenced engagement contributes to meaningful downstream signals, including: Prescription activity Provider engagement Referral patterns Patient compliance Adherence signals, where measurement is permitted Why should messaging and reporting change in pharma? Pharma campaigns are journeys with changing information needs. Reporting should guide the campaign optimization. “If I’m launching into a market with a new class of drug, I’m asking what education needs to be put into the market – from both an HCP and a consumer standpoint – to build awareness?”Natalie Mancuso, SVP, Data Partnerships Clicks and website visits still have a place, but they can’t tell the full pharma story. DeepIntent processes data in real time, giving brands an up-to-date read on how media connects to campaign engagement. Campaign signals can help teams optimize audience logic, creative, channel mix, or sequencing during a live campaign. Heading Test for Media & Text Block Content Test for Media &Text Block Learn more Heading Test for Media & Text Block Content Test for Media &Text Block Learn more Heading Test for Media & Text Block Content Test for Media &Text Block Learn more Explore how privacy-safe pharma activation can make an impact Experian brings marketing data and identity expertise for health marketing and DeepIntent adds pharma-specific activation experience. Together, we help brands connect patient and HCP strategies responsibly, with privacy built in from the start. Watch the full video with our experts to hear Sheila Wirick and Natalie Mancuso discuss patient and HCP messaging, CTV, privacy-safe activation, and outcome measurement for pharma brands. About our experts Natalie Mancuso SVP, Data Partnerships, DeepIntent Natalie Mancuso is SVP, Data Partnerships at DeepIntent and a leader in health-focused AdTech and DSP strategy. With over 20 years of experience growing billion-dollar healthcare brands, she turns complex data into scalable, performance-driven solutions that keep marketers ahead of industry change. Sheila Wirick Director of Health Sales, Experian Sheila Wirick is the Director of Health Sales at Experian with more than 20 years of experience in data and analytics. As Director of Health Sales at Experian Marketing Services, she collaborates with healthcare, pharmaceutical, and nonprofit organizations to apply data and insights that enhance customer retention, brand awareness, and acquisition. She is committed to helping organizations use data to deliver measurable results and meaningful impact. FAQs What makes a pharma audience activation-ready? A pharma audience is activation-ready when patient or HCP inputs can be translated into usable audiences with the right accuracy, controls, interoperability, and destination readiness. For patient engagement, that may include privacy-safe cohort construction, caregiver logic, non-clinical enrichment and appropriate exclusion rules. For HCP engagement, it may include governed identity inputs such as NPI, specialty, practice location, professional address and other verified attributes where appropriate. How can pharma brands sequence messages across channels responsibly? Pharma brands can sequence messages responsibly by giving each channel a clear role and using audience logic to maintain continuity. CTV and out-of-home can support awareness, social can reinforce the message, search can capture active research and point-of-care or rep-triggered channels can support decision moments. The workflow should preserve separation between patient and HCP identity strategies. What should pharma marketers measure beyond clicks and site visits? Pharma marketers should measure whether media connects to outcomes such as audience quality, prescription activity, qualified HCP engagement, verified delivery, referral patterns, therapy starts or adherence signals where permitted. These outcomes often depend on partner-enabled workflows, clean rooms, and aggregated outputs rather than direct end-to-end tracking. How does Experian help pharma brands connect identity, activation and measurement? Experian acts as an independent privacy-first identity, data, and workflow layer for pharma marketers. We help brands bring together identity, high-fidelity matching, governed onboarding, non-clinical consumer context, and partner interoperability so patient and HCP engagement can be activated more accurately across channels and connected more cleanly to partner-enabled measurement. Latest posts
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Use case #1: Identifying customer spending potential to boost growth for a retail chain Objective Solution Results The solution By syncing its cookies with the Digital Graph, the DSP gained access to related identifiers, including: This expanded identity universe gave the DSP a unified view of individuals and households, making it possible to connect impressions to conversions across devices and channels. With each weekly refresh, attribution models stayed accurate and up to date, turning fragmented signals into proof of performance. Results Within weeks, the DSP saw measurable improvements