testTag: id-free technology

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.

FAQ: ID-free®

Explore how Dstillery’s ID-free® targeting, an AI-powered technology that predicts ad impressions without user tracking, can enhance your programmatic campaigns in our frequently asked questions.

What is Dstillery’s ID-free® targeting?

ID-free is an AI-powered targeting technology that predicts the best ad impressions for a brand without any user tracking.

What problems does ID-free solve?

ID-free delivers performance and scale for advertisers’ programmatic campaigns. It also solves user privacy issues by not tracking users or creating user profiles. This makes ID-free a perfect solution for cookie deprecation and any privacy laws or regulations, including GDPR.

What are the use cases for ID-free?

ID-free is proven to drive both performance and scale. It can be modeled and optimized across the marketing funnel for most key performance indicators (KPIs), but it is most commonly used for upper-funnel campaigns driving qualified reach. By adding predictive bidding on The Trade Desk, it can also deliver up to 2.5x the performance of cookies for mid- and lower-funnel campaigns (more on this below).

What makes ID-free different from competitors’ solutions?

ID-free solves problems like performance, scale, and privacy for advertisers today. It’s not contextual nor an alternative ID; it’s patented technology in a category of its own.

ID-free uses AI to learn privacy-safe browsing patterns and applies these insights to inventory targeting. Think of it like this: ChatGPT understands words based on their use in a sentence. Similarly, ID-free understands website visits based on how they appear in browsing patterns. The result is privacy-safe behavioral targeting that reaches any display, in-app, or CTV ad impression with or without IDs.

How can I activate ID-free?

Partnering with Dstillery lets you choose the best ID-free activation method for your brand.

Activate via:

PMP directly on your DSP.

Predictive Bidding supported by The Trade Desk. Rather than making binary ‘buy’ or ‘don’t buy’ decisions, our AI predicts the precise value of each impression to your brand and exactly how much you should pay for it, maximizing every ad dollar.

Contextual Integration found in The Trade Desk’s contextual marketplace.

How do I get started?

You can buy off-the-shelf ID-free audiences today on your DSP. If you’re looking for a custom, first-party data-powered ID-free audience, contact your Dstillery representative today or click here to get in touch.

How to Thrive with Third-Party Cookies Going Away

In the ever-evolving world of digital advertising, staying ahead of the curve is essential to reaching your target audience effectively. However, with the impending demise of third-party cookies, advertisers face a paradigm shift in how they target their audience. This is where Dstillery comes into play as a game-changing solution for your programmatic ad targeting needs. Keep reading to explore the challenges the disappearing cookie brings and how we can help.

Cookies are Going Away

Third-party cookies have been a staple in the digital advertising world for years. They have enabled marketers to track user behavior, gather insights, and serve personalized ads to the right audience. However, growing concerns over privacy and the ever-evolving regulatory landscape have put cookies on the chopping block. Major web browsers, including Google Chrome and Safari, are phasing out support for third-party cookies, leaving advertisers with a looming void in their arsenal.

The Rise of First-Party Data

First-party data has become increasingly valuable, with third-party cookies on the way out. First-party data is information collected directly from your users, such as website behavior or interactions with your brand. This data is not subject to the same privacy concerns and regulations as third-party data, making it a crucial asset for advertisers.

Dstillery is the leading AI ad targeting company. We’re uniquely positioned to help you address the challenges created by the cookie’s departure and thrive without them.

That’s why we created ID-free®. ID-free is a first-of-its-kind targeting technology that delivers scale and privacy for advertisers’ programmatic ad campaigns. Our technology predicts the value of an impression to a brand without knowing anything about the user. The technology also uses AI to learn from browsing patterns detected in de-identified opt-in panel data. Just like how ChatGPT learns by predicting the next word in a sentence, ID-free learns by predicting the next website visit in an anonymous site visitor’s journey.

Neural network technology called the Map of the Internet (MOTI) powers ID-free. Using MOTI, we create a model that identifies the best impression opportunities. ID-free is the future of ad targeting without cookies. It’s an innovative one-of-a-kind targeting technology that delivers scale and privacy for advertisers’ programmatic ad campaigns.

Advertisers must reimagine their targeting strategies as the era of third-party cookies draws to a close. Don’t let the cookie crumble your advertising efforts; turn to Dstillery for a brighter, data-driven future in digital advertising.