testCategory: Privacy

Reflections from Davos 2025: Leadership, Innovation, and the Future of AI in Marketing

As I reflect on an unforgettable week in Davos, the World Economic Forum 2025 experience continues to resonate. Representing Dstillery at the gracious invitation of The Female Quotient, I had the privilege of joining a dynamic panel to discuss the power of mentorship, sponsorship, and cultivating the next generation of women leaders.

The Power of Sponsorship & Next-Gen Leadership

On stage with Anna Marks, Camilla Maggiori, Bijou Abiola, and our exceptional moderator Amber Coleman-Mortley, we explored what it means to build pathways for emerging talent — not just in theory but through deliberate, meaningful action. These conversations are particularly relevant in the rapidly evolving landscape of AI-driven marketing, where guiding the next wave of women’s leadership is just as critical as technological innovation itself.

Dstillery & AI Innovation: Aligning with UN SDG #9

Throughout the week, a common theme emerged: the role of AI in driving sustainable innovation. Dstillery’s commitment to AI-driven insights and ethical marketing practices aligns with United Nations Sustainable Development Goal #9 (Industry, Innovation, and Infrastructure) — reinforcing the importance of responsible AI development that fuels both business growth and societal progress.

From collaborative discussions on AI regulation to exploring investments in growth-oriented technology, Davos provided a platform to engage with industry leaders on how marketers can harness AI responsibly while maintaining a human-first approach to advertising.

Leadership in a Shifting Business & Political Landscape

Beyond the panels and networking lounges, I had the opportunity to participate in exclusive roundtable discussions hosted by Steve Clemons, Chairman & CEO of Widehall, Washington, DC. These conversations delved into the evolving terrain of leadership, business, and politics, highlighting the challenges and opportunities executives face in a landscape shaped by geopolitical shifts, economic pressures, and rapid technological transformation.

A Seat at the Table: CNBC International’s “CMO Now” Series

One of the most exciting outcomes of the week was getting invited to record a video interview for CNBC International’s “CMO Now” series, set to air later this month in the lead-up to International Women’s Day. This conversation allowed me to discuss the intersection of AI, marketing, and leadership, further reinforcing the pivotal role of AI-driven insights in shaping modern business strategies.

Looking Ahead: Davos 2026 and Beyond

Among the highlights of Davos 2025 was the invaluable time spent with our newest Dstillery Board Member, Jim Weiss, Founder & Chairman of Real Chemistry, and the outstanding EVP/Chief of Staff, Danielle Clark-Brown. As we look to Davos 2026, one thing is certain: the convergence of AI, leadership, and innovation will continue to shape how brands engage, connect, and grow.

For Dstillery, the takeaways from Davos reinforce our vision: to remain at the forefront of privacy-friendly AI innovation, actionable data insights, and digital advertising solutions that drive measurable business impact. I look forward to continuing these conversations, taking actions to continually grow and lead, and making plans to return and reunite in Davos for WEF 2026.

Stay tuned for our CNBC International interview airing later this month, and let’s keep the conversations going!

How Does ID-free® Differ from Contextual Targeting?

Back in January 2020, when Google first announced its intention to deprecate third-party cookies, marketers and advertisers started exploring alternative strategies to reach audiences effectively. And while third-party cookies are technically still here, the need for new privacy-safe targeting solutions remains.  

Two popular approaches are ID-free® targeting and contextual targeting. While both methods help deliver privacy-friendly advertising, they are distinct in how they operate and how they identify the best audiences.

Understanding ID-free Targeting

Dstillery’s patented ID-free targeting is a revolutionary technology that employs a totally different approach than basic content analysis. ID-free targeting is rooted in data science and machine learning, leveraging sophisticated algorithms to find the right audiences without relying on any form of personal identification, cookies, or device IDs. By analyzing the aggregated behaviors of an anonymous consumer panel, such as browsing behavior, content consumption, and time of day, ID-free targeting finds your best audiences based on behavioral inventory signals. What’s more? ID-free predicts which sites are likely to convert for your brand without any user profiles or tracking.

The power of our ID-free technology lies in its ability to be adaptive and intuitive. It allows advertisers to reach users who are most likely to engage with their messages, based on patterns of behavior that indicate interest, rather than matching specific topics or keywords. This level of precision not only enhances campaign performance but also meets the growing need for privacy-safe solutions.

What is Contextual Targeting?

Contextual targeting is an advertising method that involves placing ads based on the content of the webpage, or the context in which the ad is served. For example, an ad for gym clothes might appear in a blog article about workout routines. This approach uses keywords, page topics, and sentiment analysis to ensure that ads align with the content that users are currently viewing.

While contextual targeting can effectively place ads in relevant environments, it is limited by its reliance on immediate content. It does not account for user behavior beyond the current page the way ID-free does which will cause advertisers to miss out on reaching pertinent audiences.

Contextual targeting is a good way to understand the keyword clusters an audience member might search for along their digital journey. However, if you craft a deep profile of understanding around your audience, only a tiny fraction of that audience will be targeted by contextual solutions. 

Key Differences Between ID-free and Contextual Targeting

ID-free technologyContextual Targeting
Audience PrecisionLeverages complex data science techniques to identify ideal audiences based on anonymous behavioral signalsMatches ads to specific content, ignoring interest patterns or user journeys 
Privacy StandardsPrivacy-safe, does not rely on any personal dataPrivacy-safe 
AdaptabilityDynamically adjusts to shifting behaviors and trends in real-time, enabling brands to stay relevantTied to specific page content and may not capture broader audience interest shifts

Choosing the Right Solution for Your Brand

As more and more people opt out of cookies, it’s crucial to understand the differences between ID-free and contextual targeting. While contextual targeting is effective in aligning ads with relevant content, ID-free offers a powerful alternative for brands and their agencies aiming for audience precision without sacrificing privacy. 

If you’d like to test ID-free targeting in your next campaign, reach out to get started.

Cannes 2023 Recap: Reconciling The Themes of AI & Privacy

cannes 2023

As always, last week’s Cannes Lions International Festival of Creativity was a whirlwind. Over the course of 4 days, the Dstillery team attended dozens of meetings and met with scores of clients, partners and prospects. Overall, the tone of the festival was optimistic, with positive energy and enthusiasm for the changes that are coming to the industry. The discussions of change encompassed two key themes:

AI is going to change everything.

If there was any overarching theme to the entire festival, it was AI, and how ChatGPT will change nearly every step in the advertising supply chain, from creative concepting and production to media strategy & execution. Nearly every panel, every speech, and every meeting touched on the topic, and many were totally dedicated to it.

Privacy is a global trend.

There was a clear consensus that privacy standards will continue to rise all around the world, and that the advertising industry needs to embrace, not resist, this trend. Under the heading of rising privacy standards, there was also a relatively clear consensus that Google will indeed retire 3P cookies from Chrome on schedule by the end of 2024.

The intersection of AI advances and rising privacy standards represents both a moral hazard and an opportunity for our industry. The risk comes from the inevitable temptation AI presents to use more data than less.

Let’s embrace the movement.

A commonly discussed application for AI during the proceedings in Cannes was to enhance personalization, which of course, more often than not, requires user tracking and targeting. Leveraging user data to inform an AI model which produces personalized advertising experiences may violate the requirement for using less user data to meet the rising privacy standards. Not many of the proponents of more personalization addressed how it could be done while honoring the rising privacy standards.

We believe that the advertising community should embrace the explosion in advanced AI tools as an opportunity to enhance consumer privacy. Dstillery’s ID-free® technology does just that. We apply AI to targeting via a data-minimized opted-in panel, rather than applying it directly to user data in the AdTech ecosystem. In short, the way that we approached the problem allows us to provide some level of the promised personalization of AI while honoring user privacy.

It may sound trite to say that the only constant is change. With the rapid advancements in AI, the pace of change is arguably accelerating futher and faster than anything we’ve ever experienced before. The advertising industry has a real-time opportunity to decide how to best embrace this change, putting AI to work to drive innovation, creativity and growth while at the same embracing the movement for greater consumer privacy.

What is De-Identified Data and How Can It Benefit Your Business?

Marketers are constantly facing new challenges in reaching target audiences while adhering to strict data regulations, especially as more and more consumers opt out of cookies. De-identified data offers a powerful solution, allowing marketers to collect and analyze valuable insights while protecting consumer privacy. By removing personal identifiers, like names and contact information, businesses can still create personalized campaigns and improve marketing strategies while staying compliant with laws like GDPR and CCPA.

Dstillery is leading the way with our ID-free® targeting technology, which helps marketers reach their audience without using personal data or cookies. Instead, ID-free uses advanced AI technology to create accurate audience targeting that respects privacy.

Here, we’ll explore de-identified data, how it’s generated, and how it can enhance your marketing efforts while building consumer trust.

What is De-Identified Data?

De-identified data is information that has been processed to remove personal identifiers, such as names, addresses, or social security numbers. This ensures that individuals cannot be readily identified from the dataset. By transforming sensitive data into an anonymous format, businesses can maintain privacy while leveraging valuable insights for decision-making and analysis.

For marketers and advertisers, de-identified data provides a way to understand audience behavior, preferences, and trends without compromising consumer privacy. This approach not only ensures compliance with data protection regulations but also helps build trust with consumers who are increasingly concerned about how their data is used.

To learn more about how de-identified data fits into cookieless advertising, check out our FAQ on ID-free targeting

Why Is De-Identification Important?

Data de-identification is critical for protecting consumer privacy. By safeguarding sensitive information, organizations can mitigate the risks associated with data breaches, unauthorized access, or misuse of personal data. This protection is essential for maintaining regulatory compliance under frameworks like GDPR, CCPA, and HIPAA.

Benefits of Using De-Identified Data in Marketing

Using de-identified data for your advertising efforts offers numerous benefits, including:

  • Enhanced Privacy Compliance: Avoid potential fines or penalties by adhering to privacy regulations
  • Improved Consumer Trust: Show customers that you prioritize their privacy by using de-identified data responsibly
  • Accurate Insights: Access detailed audience reports and behavioral insights without compromising personal identifiers
  • Scalable Solutions: Implement strategies that work across regions and industries without the need for personal data

De-identified data reports can help businesses refine their marketing strategies while maintaining the integrity of consumer privacy. Discover how Dstillery’s ID-free technology leverages these benefits to improve targeting precision in a privacy-first world. 

How Dstillery Uses De-Identified Data

Our patented ID-free targeting solution is a prime example of how de-identified data can be used effectively in marketing. By leveraging advanced AI algorithms, we create audience insights and precision targeting without relying on personal identifiers or cookies. This approach allows digital advertisers and marketers to:

  • Reach their ideal audience with confidence and without cookies
  • Deliver personalized campaigns that respect consumer privacy
  • Access de-identified data reports that offer actionable insights

Our commitment to privacy and innovation sets us apart in the advertising industry. Learn more about how ID-free targeting can enhance your advertising strategy.

Driving Success 

De-identified data is a vital tool for businesses looking to thrive in a privacy-first, cookieless advertising ecosystem. By understanding what de-identified data is and how to use it effectively, you can enhance your marketing efforts, build consumer trust, and ensure regulatory compliance.

Ready to transform your advertising strategy with privacy-safe solutions? Let’s connect.

How Dstillery Processes its Data

Dstillery ingests billions of data points daily. This includes website visitations, foot traffic, and app usage, which are processed into consumer behavior. With that data, individual devices (mobile and desktop) are scored in and out of specific audiences across different topics and then organized into categories. Dstillery audiences are up-to-date as audience segments are refreshed daily to deliver an unparalleled level of advertising effectiveness. 

Although Dstillery audiences are continuously refreshed on a daily basis, and users are scored in and out of audiences across our different audience categories, users can still leave our data store/ecosystem at any time. 

Dstillery has over 2,800 prebuilt audiences. Audiences are created using our AI models. These models score users in and out of specific audiences across different behaviors. As a result, valuable data is produced through graphs that reveal audience composition, demographics, locations, and the trail of sites visited.

How Users Score into an Audience:

To score means that the model analyzes the browsing history of the users who visited particular websites that revolve around the same topic. The AI model then uses that data to find other users with similar behaviors and interests. 

Moreover, the AI model analyzes URLs to find similar browsing histories of individual users and search for common behavioral patterns. After those common web behavioral patterns are identified, the model uses that information to score users in and out of particular audiences. 

How We Build a Pre-built Audience:

To have a better understanding of what a Pre-built audience is, let’s take a look at an example. “Toyota Vehicle Shoppers” is a Pre-built audience. This audience was built by putting together URLs that show users who are looking to buy a Toyota car or someone who is browsing anything related to Toyota vehicles. For example, www.olathetoyota.com, www.toyota.co.uk, www.toyota.com, and www.toyotacertified.com are fed into the model as input known as seed sets. The AI model will use these URLs to find users who have similar URLs in their web history. Users with these URLs in their web history are analyzed as users of interest. The model uses that information to find users with similar web patterns and interests, allowing it to score users into specific audiences. This process enables us to create accurate profiles of the users.

How Users Score out of an Audience:

Above, we described how to score into a specific audience. Now, let’s look at how the AI model scores a user out of an audience. Scoring out means that when users no longer demonstrate a particular pattern, they are scored out of an audience. For example, if the user’s web behavior has changed from buying a car to buying a jacket, the AI model would then score that user out of the “Toyota Vehicle Shopper” audience and into a “Jacket Lovers” audience.

As the AI model scores users in and out of the audience daily, another system – the data retention system looks at a user’s cookie history.  

Data Retention Period for Audiences:  

Data retention period across different audiences refers to how long users are retained in our scoring system. When users clear out their cookie history, we can no longer score that particular user into any audience because the AI model does not have any web history to analyze and score. Our data retention system checks users’ web history every day for 60 days. If the system doesn’t see the user’s web history, the system will delete the user from our database. Suppose/if we see that user’s cookies again, that user will return as a brand-new user. The AI model will analyze the web behavior of the new user and score them into a new audience.  

Custom AI Audiences Built by First-Party Data to Create Specific Profiles for Brands:

Custom AI audiences are built by analyzing your first-party data to create a profile specific to your brand. When a user clicks on a pixel on the client’s website or web page, we automatically receive the user’s cookies. Our AI model then uses those cookies as model input to train the model. The AI model is trained to find users with similar web behavior to those who click the pixel. After the patterns in web behavior are identified, the AI model uses that information to score users into retarget audiences. The Custom AI Audience is one of our best audiences because it is 100% customizable to your brand. 

The AI model rebuilds itself whenever users click on a pixel. By clicking on a pixel, new input is used to train the model even more. Let’s look at the data retention period for the Custom AI audience. The data retention period differs from the Pre-built audience because we look at the users who click on the pixel.  

Once the pixel is placed on the client’s web page, we activate it to receive users’ cookies. When a user stops interacting with that pixel for 180 days, the user will be removed from the model input. Users get updated into the model input every time they interact with a pixel. 

If a user doesn’t interact with a pixel for 180 days, that user will be removed from the model input. Furthermore, the behavioral history of that user will also be removed. Moreover, if the same user interacts with the same pixel on day 181, the system will look at it as a new user that clicks on the pixel. 

What will happen to our first-party data if you create a custom AI audience and leave the pixel active without us terminating our contract with Dstillery? 

As long as that pixel is active and the user constantly interacts with that pixel, the user will be a member of that Custom AI segment audience. Any data collected from that pixel older than two years will be removed from our system.

What will happen to our first-party data if the pixel gets deactivated? 

Upon the deactivation of the pixel, after 14 days, our system will score out every device from the custom AI segment audience. If your custom AI audience is reactivated, our system will find the users that interact with the pixel placed on the web page. 

To learn more about Dstillery audiences, please visit our products page.

Shaping the Future of the Web: Internet Privacy

For as long as the internet has existed, there have been well-founded concerns about its threats to privacy. Though largely brushed aside historically, when innovation and monetization took priority, during this fourth decade of life with the web concerns about privacy rights have been taken up in every corner of our digital society.

We can distill the essence of the privacy concern to the questions: 

  • Who is allowed to recognize the devices you use, and by extension, you?
  • Under what circumstances — and with what limits — can recognizable data generated by your devices be captured, stored, and shared?

The causes for concern are readily apparent: people don’t want to be surreptitiously tracked or have profiles they have no control over created from their online activity by unknown parties. They don’t want their information bundled up and shared with vast networks of potential buyers with whom they have no direct relationship, without their knowledge, much less consent, for unlimited, unspecified purposes. They don’t want to have the phone and computer that have become keystones of their lives spying on them. 

But each negative sits beside a positive. Tracking users’ online behavior allows us to learn what is normal, making it possible to better support them and identify abnormalities that point to a host of problems, from breakage to fraud to misappropriation and attack. Building profiles allows us to personalize experiences and provide relevant recommendations. Being able to positively identify devices and verify users allows us to be confident in the trustworthiness of an interaction. Knowing you’re the same person using different services allows for more useful constellations and configurations of applications and, for many enterprise applications, is a requirement.

To say it more simply: what is known about you can be used both to diminish and enhance your online experience, which is what makes the changes to enhance privacy so tricky. 

We have all opened our homes, our businesses, and the majority of the relationships that make up our daily lives, to the Internet. For the most part, those with access to the data generated by these online interactions have used it appropriately, or at least non-destructively. But some haven’t, and the threat posed by the minority which misuses our data is great enough that we all must take very seriously the question of how we safeguard personal data and the effort to find answers that carefully and appropriately balance utility and privacy. 

If we are not careful about how we reform things, we risk sacrificing much of the transcendent value of the Internet in our quest to protect privacy. The “We” identified here includes browser vendors and the larger community of volunteers working with them in many different venues to manage the transition to a more privacy, and user, respecting internet. If you have use cases that depend upon the web, hopefully, “we” also includes you.

Growing Pains

The implications and impact of privacy-focused changes are increasingly far-reaching and profound. These changes push platforms and providers to demand of users ever more onerous terms of service. They push regulators and legislatures increasingly to pursue the imposition of restrictions on behalf of users. They encourage tech behemoths to stake claims in the privacy frontier that prioritize corporate agendas and lock in relationships.

However, almost all of the impacts to date have been a relatively quiet prelude to the storm of transformation and disruption that our digital world will experience when Google fully transitions to the privacy updates that are being developed for Chrome, the world’s most popular web browser. These include tracking prevention technologies and the promised end of support for third-party cookies in the second half of 2024.

One privacy-motivated impact that was decidedly not quiet, and which may give us some foreshadowing of the impacts of the Chrome updates, was the release of Apple’s App Tracking Transparency (ATT) in iOS. Finally turned on in iOS 14.5 in the spring of 2021, after being postponed from the fall of 2020 due to an outcry from app developers, it had an immediate, negative impact on the iPhone advertising ecosystem. Despite the long-delayed release, app developers saw revenues drop by as much as 40% or more overnight.

The negative impacts persisted through the end of the 2021, resulting in significant drops in user acquisition spend, app installs and in-app purchases on iOS. During this period, Android experienced significant increases in the same KPIs. The magnitude of the impact was underscored when Meta identified ATT as a principal reason for the quarterly revenue miss that triggered the biggest loss of value by a US company in history.

Early Efforts

Though ATT is perhaps the most dramatic of Apple’s efforts to promote privacy, it is by no means the first: WebKit (Safari’s browser engine) first implemented tracking prevention in 2003 with Safari 1.0. There is much to appreciate in Apple’s commitment to its ideals, but in some areas, the focus on privacy and doing things “the Apple way” has done as much to discourage success as it has to ensure it; Safari being a case in point. 

Since its inception, Safari has struggled to gain traction, never achieving more than 10% market share for desktop browsers even though it has been bundled with the Mac OS since launch and was available for Windows from 2007 to 2012. This is also despite being launched within a year of Firefox, which managed to achieve greater than 30% market share before being usurped by Chrome.

Released in 2008, Chrome’s popularity surpassed Safari’s within a year and Firefox’s within 3.5 years. Within four years, Chrome had taken the top spot from the most popular browser from 1999 through the first decade of the century, Internet Explorer, which many had considered irreplaceable.

There are many reasons why Chome found success while Safari did not. The most important was that the team behind Chrome prioritized replicating IE’s functionality and assuring it was compatible with the majority of websites of the day, going to great lengths to work with site developers and incorporate their feedback. In contrast, the Safari team chose to do things their way, emphasizing design, security, and user experience over site compatibility. 

As a result, Chrome worked everywhere from the start, while Safari constantly had problems on all but the simplest of sites. This led to the general belief that Safari was passable for basic browsing, but to get things done, you had to use IE or Chrome and eventually just the latter.

Safari has always strived to support web standards and actively participate in their development, and today it works more reliably across the web than it has historically. This is due to efforts by both the Webkit team and website developers, with both having benefited from active engagement in the broader community to create standards and encourage their adoption. 

However, even today, after almost two decades of updates and improvements, Safari continues to support only a subset of common functionality and lacks compatibility with sites in many areas where standards are lacking. A big reason for this continued lag is that Chrome works with the vast majority of websites and use-cases, is available on every major platform and so there just hasn’t been a need to put the effort into improving compatibility with Safari. A developer of enterprise applications put it very succinctly recently when asked about support for Safari: “We just tell people: use Chrome.”

Help Wanted

With ATT we have seen the potential for disruption that unilateral changes by a platform in how end-user relationships are mediated can have. With Safari we’ve seen the results of failing to engage deeply in the community process and provide site developers adequate support for their critical use-cases.

Chrome is taking a different approach as it seeks to increase user privacy by founding its efforts on a broad invitation to participate and public outreach efforts aimed at users, developers, and business communities. They have spun up groups in various public standards bodies through which they have sought to understand use-case requirements, presented proposals, and solicited and incorporated feedback as they search for ways to support a more private web. But, the results will be no different with Chrome than they were with ATT and Safari if we do not collectively step forward and engage.

Google, Apple, and other browser vendors are offering all who are willing to engage an opportunity to work with some of the most capable product and engineering teams on the planet, asking only that we own the role of business stakeholder the web has cast us in. They have teams working on the future who are ready, willing, and able to find privacy-friendly solutions for our business problems. They’re asking us to describe our use cases, review proposals and offer alternatives, for collaboration in testing, for feedback. More simply, they are asking for our participation, and for our help in defining the standards for the next iteration of the web.

Second (And Third) Chances

In response to the broader community’s concerns and well-founded claims of unpreparedness, we’ve had a couple of reprieves: Apple’s delay of the ATT release from fall 2020 to spring 2021 and Google’s delay of cookie deprecation from early 2022 to late 2023 and more recently to the second half of 2024.

In the case of ATT, despite the postponement, not enough was done to stave off a withering shock to the ecosystem. We’re now midway into our third chance from Google, with potentially much greater disruption and orders of magnitude more at stake. We can’t afford to be complacent and go back to business as usual, but that’s exactly what many have done in the wake of Google’s postponements.

Participation Required

If we work on this together, we will collectively build a future that works for most of us. It will never work for us all, but at least for those whom it can’t support, there will be the opportunity to make their case and hopefully an understanding of why they can’t be supported, what the alternatives are and how to break things gracefully. 

It isn’t perfect; it will never be that: perfection squanders too many possibilities. What it will be is the best new start we can muster, and that is by far a better alternative than having well-intentioned but poorly informed efforts creating chaos in our digital lives.

I’m confident that we can no more remove the Internet from our lives than we can any other public utility, but we can diminish the Internet’s promise and value to each and all of us. Let’s work together and actively take up the challenge of assuring the Internet supports the vast majority of us, the vast majority of the time, and offers alternatives we can all live with in those cases where it doesn’t.

Getting Involved 

Various groups have been organized to collaborate on improving privacy online, and several of them are focused specifically on solving for a future in which ad-tech fulfills its promise while also being privacy-preserving.

IAB Tech Lab seeks to bring member companies from the ads business community, including advertisers, publishers, and their technology providers, together to develop standards to support the digital advertising ecosystem in the transition to a more privacy-focused web.

W3C Improving Web Advertising Business Group seeks to bring together ad-tech, the web development community, and browser vendors to collaborate on refactoring online advertising to remove dependencies on privacy-invasive technologies.

W3C Private Advertising Technology Community Group is a technology and solutions-focused group representing interests from across the web that seeks to be the home for ad-tech-related proposals within the W3C, an open web technology standards body.

Web Platform Incubator Community Group (WICG) offers members a venue to propose, discuss, test and generally incubate new web platform features with the potential for adoption by a W3C Working Group for standardization.

Does Google’s Cookie Retirement Timeline matter anymore? 

Google delays cookie retirement… again.

This week, Google announced that it would once again delay its retirement of third-party cookies from the Chrome browser. Originally planned for 1Q 2022, Google had shifted the timeline to 4Q 2023 last June. Now, it is targeting
2H 2024.

Why the delay?

The reason Google gave is that its own post-cookie solutions, known as the Privacy Sandbox, will not be ready in time to provide the industry with a viable alternative to cookies by 4Q 2023 – a requirement for regulators focused on Google’s market power.

A further delay is not wholly unexpected. In fact, it has been consensus for some time in the programmatic ad industry that Google would not meet its timeline, and many believe that cookies will live on indefinitely.

But the industry momentum behind new targeting technologies is not exclusively about Google’s plans for cookies. Indeed, that is only the most visible element of a bigger, more fundamental industry movement towards privacy-safe digital advertising technologies, a movement that is unlikely to abate.

What does this mean for advertisers today?

That does not mean that we think advertisers ought to stop using cookies. Indeed, our point of view has been that advertisers should use that technology for as long as it is available, if it is delivering value for them.

It does mean, though, that we believe that advertisers should also be leveraging — or at a minimum, testing —the new technologies that the privacy wave has inspired. Among those technologies, there may be something better than cookie-based solutions that brands should be using today instead of or in addition to them.

Cookieless targeting is available now.

At Dstillery, we are super-proud of our cookieless targeting solution, which we call ID-free Custom AI™. The patented technology uses aggregate behaviors of consented users (from, say, a panel) to make predictions about what ad inventory is likely to convert for a specific brand. The accuracy of those predictions is on par with the accuracy of our high-performing user-based audiences, despite having no user histories and no ID in the bid request. And all of this at the scale that advertisers need.

ID-free has had a strong reception from the market and has unlocked a wave of innovation and growth at Dstillery. We have developed an ID-free targeting solution for the healthcare industry, which we call Custom Patient Targeting, that delivers privacy-compliant but highly accurate, scaled digital targeting to healthcare brands. We have launched targeting in new forms beyond user-based audiences, including custom bidding algos and Deal-IDs. And we have seen intense initial interest in ID-free from advertisers in Europe, where user targeting is constrained by GDPR.

Whatever Google’s timeline, Dstillery is well positioned today with the combination of best-in-class ID-based audience targeting products and easy-to-activate ID-free solutions that provide scale, performance, and precision in a privacy-safe way. Those solutions are available for activation here and now, and drive better performance than the most widely used cookie-based audiences.

The wave of privacy-inspired innovation that is underway will keep on rolling, regardless of whether cookie retirement happens or not. Advertisers would do well to ride that wave.

Responsible Vulnerability Disclosure Acknowledgements

At Dstillery, we recognize responsible disclosure and believe that collaboration with researchers in the security community is critical to maintaining a secure environment for our clients and partners.

Update from November 2022

We’d like to recognize Shivam Khambe for identifying vulnerabilities.

Update from September 2022

We’d like to recognize Chirag Ketan Prajapati from Cybertix for identifying an infosec disclosure. Chirag can be contacted via LinkedIn.

If you believe you have discovered a security vulnerability with one of Dstillery’s products, please report it here.

Dstillery Secures Patent Describing Ad Targeting Without the Use of Cookies or Identifiers

We are proud to announce our 16th patent awarded for visionary techniques that will help guide marketers into a post-cookie future, officially titled “Artificial Intelligence and/or Machine Learning Models Trained to Predict User Actions Based on an Embedding of Network Locations.”

Our newest patent describes an approach for advertisers to deliver targeted advertising in a privacy-friendly manner, to users without any identifiers or cookies.

The patent grant is especially timely in light of Dstillery’s development of its ID-free solutions, designed to help agencies and brands target digital advertising effectively without the use of third-party cookies or any type of user IDs.

Google’s latest announcement that it will delay the deprecation of third-party cookies on Chrome extends the timeline for advertisers to solidify their plans for post-cookie targeting. During this exploration and testing period, it is essential for marketers to put in place solutions that address inventory where user IDs are available, using new post-cookie identifiers, and to reach inventory with no available identifiers. Dstillery’s ID-free solutions will prepare advertisers for any future digital advertising landscape.

To learn more, follow us on LinkedIn or contact us today.

Momentum Behind Ad-Tech Innovation & Privacy Goes Beyond Cookies

Google’s timeline shift for its retirement of support for third-party cookies in Chrome, announced June 24, 2021, was met by the programmatic advertising industry with relief. And with good reason: Most of the industry was simply not ready for the transition to happen in the first quarter of 2022.

Under the new timeline, Chrome’s phase-out of support for third-party cookies will begin in the middle of 2023, exactly two years from now.  With that longer horizon, it might be tempting to power down efforts to develop alternative targeting and measurement technologies, and address it in the future, maybe in mid-2022.

To do so, though, would be to waste a powerful opportunity.

Over the last six months, the industry has seen an explosion in innovation in preparation for the change and has developed tremendous momentum.  The new class of emerging solutions has been inspired by the threatened imminent demise of cookie-based targeting, but their value propositions are aligned with the more macro trend of rising consumer privacy standards.  

Indeed, Chrome’s third-party cookie retirement is less of a one-off catalyst for more privacy-friendly targeting than it is a punctuation of a multi-year trend.  Regulations like GDPR and CCPA and commercial moves by Apple and Mozilla have all set the stage for Google Chrome’s final act in support of third-party cookies.

The previous short-term timeline was a wake-up call for the programmatic advertising ecosystem.

Advertisers faced a probable disruption to their programmatic campaigns & ROI.  Agencies faced a discontinuity in their digital services and revenue streams.  Publishers faced a precipitous decline in the value of their ad inventory.  And advertising technology companies faced what for many would be an existential reckoning.

Faced with this imminent disruption, the whole programmatic ecosystem has been investing behind a wave of innovation that includes a host of new opt-in identity solutions, publisher-led targeting solutions, and new privacy-compliant targeting techniques built around signals that are not user-based.  That momentum has been breathtaking to behold and has inspired a renaissance for the advertising technology industry that has included renewed investor interest, appreciating valuations, IPOs, and strategic M&A.

It is ID-free™ because it enables targeting without knowing anything at all about the user seeing the ad. Custom AI, because it uses a bespoke AI model, powered by a brand’s own first-party customer data.

Best of all, our ID-free Custom AI performs on-par with our best cookie-based targeting solutions, and outperforms contextual, the next-best alternative to cookie-based targeting.

Our ID-free targeting is creating a new category of ad targeting — a third way. It starts with an understanding of the common digital journeys that an individual brand’s customers take to conversion, and targets moments in that journey, without tracking or relying on cookies.

While the imperative to replace third-party cookies has become less immediate, we as an industry should ride the cresting wave of innovation to address the macro condition of rising consumer privacy standards and capitalize on the powerful momentum we have built.  We now have more time to test new technologies, to learn and adapt them, and to deploy them well ahead of the catalyst.  

Adopting new and innovative solutions now, including Dstillery’s ID-free®, can provide real value-add today, demonstrate the industry’s respect for consumer privacy, and de-risk the retirement of third-party cookies, whenever it occurs.  

Questions? Contact us today.

*Patent Pending