No More Blind Spots: How Healthcare Marketers Unlock Insights and Understand Impact with Anonym

The Challenge: Understanding marketing impact in a privacy-constrained healthcare environment

Healthcare advertisers are caught between performance pressure and privacy obligations. When it comes to advertising, they have a structural disadvantage. Like any advertiser, they need to connect their campaign activity to real, downstream outcomes to understand and optimize campaign performance. But the data required to close that loop is among the most sensitive available, and its movement is constrained by regulation and privacy concerns.

For these advertisers, it seems that every available path for activating data and gaining insights creates unacceptable levels of risk and cost - because protecting the privacy of sensitive data isn't just a regulatory barrier, but a fundamental right for users.

• Direct data sharing, even for measurement purposes only, can risk violating patient confidentiality, compliance policies, and regulatory frameworks - as well as increase the risk of data exposure.
• Identity graph matching could introduce external, unvetted data into a regulated environment with questionable legal basis.
• Custom clean room development is expensive and resource-intensive, potentially taking 18 months and seven figures in cost to build - with additional burden to scale for each publisher and channel.

And beyond these healthcare-specific challenges, measurement is further constrained by adtech changes that have degraded the quality of measurement for all advertisers, like iOS tracking restrictions that create blind spots.

Together, these factors make it seem impossible for healthcare advertisers to access insights, prove incremental ROI, or optimize consumer journeys and conversion funnels while preserving privacy.

The Solution: Anonym’s Privacy-Preserving Technology

Anonym's privacy-preserving technology was built for exactly this environment.

• No direct data sharing required, and no raw identity matching conducted. Anonym generates performance insights inside secure, encrypted compute environments. Campaign activity and conversion signals are matched and analyzed with no human access or external visibility, and advertisers never share raw data with platforms - or Anonym itself.
• No new infrastructure buildout, unlike traditional clean rooms or data collaborations. After the initial integration, campaign measurement setup is simple for non-technical teams, and scales seamlessly across all of Anonym’s partner publishers. That means studies can go live within days, with minimal engineering support.
• No cost, minimal overhead. Platforms that participate pay the costs of the Anonym tech stack, meaning that healthcare brands can access privacy-grade measurement as an included component of their campaign, without direct payment to Anonym or procurement overhead. Advertisers transfer data from any cloud environment through our simple, secure tools or direct APIs — fully encrypted end to end and requiring no dev resources.

The Result: A clear view of performance for actionable optimization.

These healthcare advertisers were able to understand the real impact of their campaign and make strategic optimizations to drive better performance, with minimal operational overhead at no additional cost.

Across studies conducted for multiple leading healthcare advertisers in their promotion of various products (like hair loss treatment, weight management programs, and mental health therapy subscriptions), Anonym measured statistically significant lift at each stage of the funnel, across three countries and three different publisher partners including TikTok and Pinterest.

In their words: What healthtech leaders say about Anonym

“Working with Anonym allowed us to finally measure the true impact of our campaigns without ever putting patient data at risk. We saw a clear lift across downloads, sign-ups, and purchases, in alignment with our obligations to our customers and regulation. The insights came quickly, and we were able to optimize in near real-time based on mid-campaign insights - which we were never able to do with our legacy measurement methods.”

— Senior Marketing Director, Leading Healthcare Brand

Key Takeaways: Learnings for healthcare advertisers

The measurement gap is solvable, without compromising user privacy and confidentiality.

Signal loss from iOS and fragmentation of identifiers doesn't have to mean insight loss. Privacy-enhancing technologies like differential privacy and confidential computing now make it possible to measure true campaign lift across the full funnel, even for industries like healthcare that have significant responsibilities to protect user confidentiality and privacy. . Advertisers should look to privacy-enhancing technologies that work for the signal-constrained environment that healthcare brands already operate in, and are set up for the future.

Encryption and differential privacy reduce risk.

Healthcare advertisers should look for solutions that include end-to-end encryption and secure processing, taking note of how long data is retained and when it is destroyed after being used for measurement. Differential privacy applies mathematically calibrated noise to all outputs, all but eliminating the likelihood of user re-identification.

A deeper understanding of funnel performance is your superpower.

While campaigns are set up to drive conversion as the ultimate end goal, mid-funnel signals across the conversion journey can provide meaningful insight to guide strategic optimization. A clear understanding of the consumer journey on their way to conversion can help you define interim conversion events, and measurement should include a view of incremental performance at every funnel stage.

Get Started: Leveraging Anonym for your healthcare campaigns

If you're a healthcare brand looking to understand true campaign lift — across any conversion type, on any channel — without sharing sensitive patient data, Anonym was built for you. Get in touch at anonym@mozilla.com.