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The Evidence Behind Digital Health Advertising and What is at Stake in How We Regulate It

September 14, 2026

A woman sees a PSA about maternal warning signs while scrolling on her phone. Weeks later, she checks in for a prenatal appointment on a tablet in the waiting room and sees a version of the same message. Then she mentions it to her doctor. That sequence—a message reaching someone in daily life, then again

Trust, Verified: Four Guiding Principles for Building a Defensible Health-Adjacent Data Partnership for TV Advertising

September 1, 2026

By Andy Dale, General Counsel & Chief Privacy Officer, OpenAP and Ben Chapman, General Counsel & Chief Privacy Officer, Swoop Often, health-adjacent data deals are built to pass a compliance review, not to survive one five years from now. As we built our own partnership between OpenAP, the audience infrastructure behind data-driven television, and Swoop,

Web Series | Privacy, Data and Measurement in Healthcare Part 4: Fast, Effective, and Private: Rethinking the Tradeoffs in Healthcare Advertising

July 29, 2026

There’s a persistent assumption in healthcare advertising that you can have speed or you can have privacy, but not both — measurement and optimization pulling one way, compliance pulling the other. That tension mostly disappears when privacy is engineered into the foundation rather than bolted on at the end. It starts with a conviction that

Web Series | Privacy, Data and Measurement in Healthcare Part 3: Closing the Gap Between Privacy Law and Healthcare Ad Tech

July 22, 2026

The latest episode of our web series with PurpleLab tackles a question regulators haven’t fully answered: what counts as health inference risk? HIPAA’s expert determination standard assesses reidentification risk against a specific dataset, recipient, and use case. State privacy laws take a different path — built on personal data consent, opt-outs, and sensitive data labeling

New Guidance from the NAI on Using AI in Network Advertising

July 20, 2026

A set of plain-English do’s and don’ts for adopting AI-enabled and agentic advertising workflows. Today, the NAI’s released new guidance, Key Do’s & Don’ts for Using AI in Network Advertising, that is designed to help ad-tech companies keep their privacy and data governance practices up-to-date as AI systems used in advertising gain more capabilities and

Web Series | Privacy, Data and Measurement in Healthcare Part 2: Faster, Safer, Smarter: Redefining Audience Segmentation and Measurement in Healthcare

July 15, 2026

The healthcare marketing landscape is undergoing a massive transformation driven by advanced technologies and deidentified health data. Marketers are now leveraging Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) architectures to reference rich data sources, such as PurpleLab, enabling highly sophisticated analyses of patient and provider populations. By combining deidentified health data with consumer behavior insights in

Web Series | Privacy, Data and Measurement in Healthcare Part 1: How Clean Rooms Are Transforming Marketing Accountability

July 8, 2026

Healthcare marketing stands at an inflection point. Real-world data (RWD) and privacy-preserving technologies like clean rooms are no longer optional. They’re reshaping how the industry measures impact and demonstrates ROI. These tools allow marketers to gain deeper, more granular insights into consumer engagement while maintaining rigorous privacy safeguards, enabling a level of precision that was

The NAI Announces Leadership Changes

June 24, 2026

Washington, D.C. [06/24/2026] — The President & CEO of the NAI (Network Advertising Initiative), Leigh Freund, announced plans to leave the organization as of July 2, after more than 11 years at the helm of the leading self-regulatory association for the ad-tech industry. The NAI Board is undergoing a search for new leadership and is

Advertising in AI Chatbots: Early Observations and Considerations for Responsible Implementation

June 10, 2026

by Jason Snyder, Privacy Counsel, The NAI Introduction In January 2026, OpenAI announced it would begin testing advertising in ChatGPT. By March, the company had announced plans to roll out ads to all free and low-cost users in the United States. These announcements were met with both enthusiasm and skepticism: some of the world’s largest

The NAI Summit 2026 presents: A Fireside Chat with CalPrivacy’s Executive Director Tom Kemp

June 9, 2026

At the NAI Summit 2026, the NAI’s VP and General Counsel Tony Ficarrotta sat down with California Privacy Protection Agency Executive Director Tom Kemp for a candid fireside chat on California’s evolving privacy landscape. Kemp shared his vision for making privacy “easy” for both consumers and businesses and laid out what’s coming next. The conversation

Inside the NAI Summit 2026: Key Takeaways for Moving Privacy Forward

May 28, 2026

The NAI Summit 2026 brought together industry leaders, state and federal regulators, congressional staff, and academics for two days of candid conversations about the future of data-driven advertising, data privacy, and the technologies reshaping both. From the Federal Trade Commission’s (FTC) focus on preventing concrete consumer harm and prioritizing enforcement, to the California Privacy Protection

Privacy Posture and Deal Value: Lessons from the NAI/Wilson Sonsini Workshop

May 4, 2026

By Daniel Chen, Megan Cox, Tony Ficarrotta & Matthew Staples On April 21, 2026, the NAI and Wilson Sonsini Goodrich & Rosati co-hosted “Privacy Issues in Deal Diligence,” a half-day workshop at WSGR’s Palo Alto office convening in-house counsel, privacy leaders, and outside advisors from across the advertising technology industry. The event brought together perspectives

The NAI Develops Factor Analysis for Health-Related Sensitive Personal Information

February 24, 2026

Toward Clarity in Health-Related Advertising Privacy: A Practical Framework for Identifying Sensitive Health Data The treatment of health-related personal information in the U.S. privacy landscape is complex and continually evolving. As U.S. laws and regulations have created a series of protections for health-related data outside of traditional healthcare contexts, businesses operating in the digital advertising

MCP and Agents: Perils and Prospects

February 17, 2026

By Ted Sweetser, VP, Strategic Partnerships @ PurpleLab Artificial intelligence has moved beyond conversation. What began as a chat interface is rapidly evolving into systems capable of autonomous action. As organizations adopt agentic AI and frameworks such as the Model Context Protocol (MCP), they must reassess both opportunity and risk. From Interface to Infrastructure At

Lessons Learned from 2025 CalPrivacy Enforcement

January 22, 2026

A Guest Blog by Nikki Muggli and Noor Sandhu | January 22, 2026 Introduction CalPrivacy’s 2025 enforcement actions against American Honda Motor Co., Todd Snyder, and Tractor Supply marked the beginning of a more technical and outcomes-focused approach to California Consumer Privacy Act (CCPA) enforcement. These actions follow a gradual ramp-up in activity since CalPrivacy