In 2022, Google began changing the availability of the information available in User-Agent strings across their Chromium browsers. The change is to use the set of HTTP request header fields called Client Hints. Through this process, a server can request, and if approved by the client, receive information that would have been previously freely available in the User-Agent string. This change is likely to have an impact on publishers across the open web that may use User-Agent information today.
To explain what this change means, how it will impact the AdTech industry, and what you can do to prepare, we spoke with Nate West, our Director of Product.
What is the difference between User-Agents and Client Hints?
A User-Agent (UA) is a string, or line of text, that identifies information about a web server’s browser and operating system. For example, it can indicate if a device is on Safari on a Mac or Chrome on Windows.
Here is an example UA string from a Mac laptop running Chrome:

To limit the passive fingerprinting of users, Google is reducing components of the UA strings in their Chromium browsers and introducing Client Hints. When there is a trusted relationship between first-party domain owners and third-party servers, Client Hints can be used to share the same data.
This transition began in early 2022 with bigger expected changes beginning in February 2023. You can see in the above example, Chrome/109.0.0.0, where browser version information is already no longer available from the UA string on this desktop Chrome browser.
How can you use User-Agent device attributes today?
UA string information can be used for a variety of reasons. It is a component in web servers that has been available for decades. In the AdTech space, it can be used in various ad targeting use cases. It can be used by publishers to better understand their audience. The shift to limit access and information shared is to prevent nefarious usage of the data.
What are the benefits of Client Hints?
By using Client Hints, a domain owner, or publisher, can manage access to data activity that occurs on their web properties. Having that control may be advantageous. The format of the information shared is also cleaner than parsing a string from User-Agents. Although, given that Client Hints are not the norm across all browsers, a long-term solution may be needed to manage UA strings and Client Hints.
An advantage of capturing and sharing Client Hint information is to be prepared and understand if there is any impact to your systems and processes. This will help with the currently planned transition by Google, but also should the full UA string become further restricted.
Who will be impacted by this change?
Publishers across the open web should lean in to understand this change and any potential impact to them. The programmatic ecosystem supporting real-time bidding (RTB) needs to continue pushing for adoption of OpenRTB 2.6, which supports the passing of client hint information in place of data from UA strings.
What is Google’s timeline for implementing Client Hints?

Do businesses have to implement Client Hints? What happens if they don’t?
Not capturing and sharing with trusted partners can impact capabilities in place today. Given Chromium browsers account for a sizable portion of web traffic, the impact will vary for each publisher and tech company in the ecosystem. I would assess how UA strings are in use today, where you may have security concerns or not, and look to get more information on how to maintain data sharing with trusted partners.
We can help you adopt Client Hints
Reach out to our Customer Success team at tapadcustomersuccess@experian.com to explore the best options to handle the User-Agent changes and implement Client Hints. As leaders in the AdTech space, we’re here to help you successfully make this transition. Together we can review the options available to put you and your team on the best path forward.
About our expert

Nate West, Director of Product
Nate West joined Experian in 2022 as the Director of Product for our identity graph. Nate focuses on making sure our partners maintain and grow identity resolution solutions today in an ever-changing future state. He has over a decade of experience working for media organizations and AdTech platforms.
Latest posts

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Many may remain apprehensive about safety and continue to “dine at a distance” until they’re confident that they can remain healthy, or until a successful vaccine goes into use. Even as states begin their phased re-opening plans, many continue to work from home—which has greatly affected both dine-in and QSR venues. Those who saw a robust lunchtime crowd probably saw a drop-off while business-based locals shifted their office plans. However, new opportunities have emerged for restaurants to reach out to their regular lunch crowd to offer delivery or attract a whole new lunch crowd who may not have thought to order from them before. Between the challenges of a post-pandemic world, a shifting of diner priority, and an uncertain future facing the restaurant world, it’s now more important than ever before to leverage an intelligent, data-driven marketing strategy to ensure your campaigns reach the right consumers, and also attract new customers to expand your customer base over time. 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You can also use this information to better understand how often you factor into your customer’s dining plans by understanding if they are beginning to commute again, or continuing to work from home, and if the latter, do they live near one of your locations. Data can also help you discover more about who they are, so you can even further tailor your messaging to their needs. Let’s say your target customer is married with children. Addressing their busy life as a professional and a parent, and sharing how you can ease the burden of dinnertime to make life easier for them, may be exactly the kind of message of support they need to encourage them to reach out to you. Using data based on demographics, lifestyle, behavior, attitudinal and mobile location data can help you cook up a marketing strategy with precision and success, resulting in more diners knocking on your door (or at least, calling for take-out). 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2020 has been a year of change and challenges for businesses and consumers alike. With the global pandemic, we have seen stay at home orders put in place, a shift to work from home for many, major events canceled, schools shifted to online format, graduations and other end-of-year activities canceled, and more. As we move through the phases of reopening, everyone is figuring out how to navigate the ‘new normal’ in the wake of new safety requirements, businesses are working to determine what their day-to-day operations will look like as they reopen. The changing times have implications on how consumers act, what and how they purchase, and how they manage their daily lives. With these changing times, consumers are quickly adapting their lifestyles which impacts the choices they make on how they shop, bank and provide for their families. Businesses across the United States are trying to understand how consumers are feeling during this time and how that might correlate with their visitation patterns. Using Experian’s Mobile Location data, coupled with Consumer Sentiment data, we looked at foot traffic and sentiment trends in the retail space throughout the pandemic. As you can see from the chart, there has been a steady increase in household visits to retail locations since March that correlates with the rise in sentiment. Note the differences in visitation patterns across the regions. You can see some foot traffic spikes, which correlate to reopening phases in several states during the week of May 4th and Memorial Day weekend. However, you see a lower average of foot traffic in the Northeast U.S. where reopening phases are rolling out at a slower pace. It is going to be essential for businesses to craft marketing strategies on a regional level as guidelines for reopening are the state-level. This means that a business’s consumers look different based on where they are located and might require more targeted and sensitive messaging. For example, using Experian’s Mosaic segmentation, we further delved into what consumers look like today by analyzing those Mosaics who have the most positive change in regard to the pandemic, versus those that had the most negative. You can see in the charts that there is a significant difference between the Mosaics trending positively versus those trending negatively. Consumer segments have drastically different sentiment, and foot traffic patterns and understanding how your consumers are feeling and where they are shopping will help improve your ROI. Having a comprehensive and targeted marketing plan will be essential for companies as they navigate the intricacies of reopening. Experian’s Reopening Package allows brands to take a phased approach to better understand and reach both new and existing customers through targeting, analytics and key insights. Companies can analyze their consumers’ sentiments and visitation patterns during the pandemic, segmented by Experian Mosaic® lifestyle segmentation group. Businesses can then take those insights and apply them to other models, or create their own models, to build out and run effective marketing campaigns that target current and prospective customers. A successful long-term marketing strategy needs to be data-driven, leveraging data and analytics to help craft targeted messaging. We can see that consumers want to shop again – foot traffic patterns appear to have increased since June, and sentiment is up – now it is necessary to understand where your customers fit into the spectrum. Missed our recent webinar, How COVID-19 Has Shaped Consumer Behavior for Retailers? Access the on demand version here.

Overview Chartable leverages The Tapad Graph to improve cross-device attribution rates and remove non-addressable IPs for clients. Challenge Chartable needs to differentiate between consumer and potential business IP addresses to provide accurate household modeling and reduce excess data for their customers. Podcasting generally only has access to IP addresses as a form of digital ID which limits its ability to connect activity to individuals and extend it across all devices. The Tapad + Experian solution Using Tapad, now a part of Experian, Chartable is able to cut through the noise of IP data and discard any addresses deemed a shared IP or business. Then, Tapad + Experian connects individual users to their other digital IDs and users in their household; creating a richer attribution model for Chartable customers. Increase in podcast attribution rates Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!