
The cookieless future is here, and it’s time to start thinking about how you will adapt your strategies to this new reality. In a cookieless world, you will need to find new ways to identify and track users across devices. This will require reliance on first-party data, contextual advertising, and alternative identifiers that respect user privacy.
To shed light on this topic, we hosted a panel discussion at Cannes, featuring industry leaders from Cint, Direct Digital Holdings, the IAB, MiQ, Tatari, and Experian.

In this blog post, we’ll explore the future of identity in cookieless advertising. We’ll discuss the challenges and opportunities that this new era presents, and we’ll offer our tips for how to stay ahead of the curve.
How cookieless advertising is evolving
Programmatic advertising is experiencing multiple changes. Let’s dive into three key things you should know.
Cookie deprecation
One significant change is cookie deprecation, which has implications for tracking and targeting. Additionally, understanding the concept of Return on Advertising Spend (ROAS) is becoming increasingly crucial.
The demand and supply-side are coming closer together
Demand-side platforms (DSPs) and supply-side platforms (SSPs) have traditionally been seen as two separate entities. DSPs are used by advertisers to buy ad space, while SSPs are used by publishers to sell ad space. However, in recent years, there has been a trend toward the two sides coming closer together.
This is due to three key factors:
The rise of header bidding
Header bidding is a process where publishers sell their ad space to multiple buyers in a single auction. This allows publishers to get the best possible price for their ad space, and it also allows advertisers to target their ads more effectively.
Cookie deprecation
As third-party cookies are phased out, advertisers need to find new ways to track users, and they are turning to SSPs for help. SSPs can provide advertisers with data about users, such as their demographics and interests. This data can be used to target ads more effectively.
The increasing importance of data
Advertisers are increasingly looking for ways to target their ads more effectively, and they need data to do this. SSPs have access to a wealth of user data, and they’re willing to share this data with advertisers. This is helping to bridge the gap between the two sides.
The trend toward the demand-side and supply-side coming closer together is good news for advertisers and publishers. It means that they can work together to deliver more relevant ads to their users.
Measuring and tracking diverse types of media
The media measurement landscape is rapidly evolving to accommodate new types of media, such as digital out-of-home (DOOH). With ad inventory expanding comes the challenge of establishing identities and connecting them with what advertisers and agencies want to track.
Measurement providers are now being asked to accurately capture instances when individuals are exposed to advertisements at a bus stop in New York City, for example, and tracking their journey and purchase decisions, such as buying a Pepsi.
To navigate cookieless advertising and measurement, we must prioritize building a strong foundational identity framework.
What you should focus on in a cookieless advertising era
In a cookieless advertising era, you will need to focus on two key things: frequency capping and authentic identity.
Frequency capping
Frequency capping is a practice of limiting the number of times an ad is shown to a user. This is important in cookieless advertising because it helps to prevent users from being bombarded with ads. It also helps to ensure that ads are more effective, as users are less likely to ignore or click on ads that they have seen too many times.
Frequency capping is often overhyped and yet overlooked. Instead of solely focusing on frequency, consider approaching it from an identity perspective. One solution could be to achieve a perfect balance between reaching a wider audience and avoiding excessive repetition. By increasing reach in every programmatic buy, you naturally mitigate frequency control concerns.
Authentic identity
The need for authentic identities in a digital and programmatic ecosystem is undeniable. While we explore ways to connect cookies, mobile ads, and other elements, it’s crucial to remember who we are as real individuals. By using anonymized personal identifying information (PII) as a foundation, we can derive insights about households and individuals and set effective frequency caps across different channels.
Don’t solely focus on devices and behaviors in your cookieless advertising strategy and remember the true value of people and their identities.
What’s next for cookieless advertising?
The deprecation of third-party cookies is a major challenge for the digital advertising industry. Advertisers will need to find new ways to track users and target their ads.
Here are three specific trends that we can expect to see in cookieless advertising.
First-party data is moving in-house
Many major media companies, equipped with valuable identifier and first-party data, are choosing to bring it in-house. They are focused on using their data internally rather than sharing it externally.
“Many larger media companies are opting to bring their identifier and first-party data in-house, creating more walled gardens. It seems that companies are prioritizing data control within their own walls instead of sharing it externally.”
laura manning, svp, measurement, cint
Fragmentation will continue
The number of identifiers used to track people online is growing rapidly. In an average household, over a 60-day period, there are 22 different identifiers present. This number is only going to increase as we move away from cookies and toward other identifiers.
This fragmentation makes it difficult to track people accurately and deliver targeted advertising. This means that we need new identity solutions that can help make sense of these new identifiers and provide a more accurate view of people.
A portfolio of solutions will address signal loss
Advertisers are taking a variety of approaches to cookieless advertising. A few of the solutions include:
- Working with alternative IDs.This refers to using alternative identifiers to cookies, such as mobile device IDs or email addresses. These identifiers can be used to track people across different websites and devices, even without cookies.
- Working with data index at a geo level. This refers to using data from a third-party provider to get a better understanding of people’s location. This information can be used to target ads more effectively.
- Working with publisher first-party data that’s been aggregated to a cohort level. This refers to using data that is collected directly from publishers, such as website traffic data or purchase history. This data can be used to create more personalized ads.
- Working with contextual solutions. This refers to using contextual data, such as the content of a website or the weather, to target ads. This can help to ensure that ads are relevant to the user’s interests.
“Cookie deprecation is often exaggerated, and alternate solutions are already emerging. As data moves closer to publishers and first-party data gains prominence, the industry will adapt to the changes.”
mark walker, ceo, direct digital holdings
There is no one-size-fits-all solution for cookies, and you will need to be flexible and adopt a variety of different approaches.
How will these solutions work together?
You can take a waterfall approach to cookieless advertising. A waterfall approach is a process where advertisers bid on ad impressions in sequential order. The first advertiser to meet the minimum bid price wins the impression.
In the context of cookieless advertising, a waterfall approach can be used to prioritize different targeting signals. For example, you might start by bidding on impressions that have a Ramp ID, then move on to impressions that have a geo-contextual signal, and finally bid on impressions that have no signal at all.
This is a flexible approach that can be adapted to different needs and budgets.
Watch our Cannes panel for more on cookieless advertising

We hosted a panel in Cannes that covered the future of identity in cookieless advertising. Check out the full recording below to hear what leaders from Cint, Direct Digital Holdings, the IAB, MiQ, Tatari, and Experian had to say.
Check out more Cannes content:
- Our key takeaways from Cannes Lions 2023
- Insights from a first-time attendee
- Four new marketing strategies for 2023
- Exploring the opportunities in streaming TV advertising
- Maximize ad targeting with supply-side advertising
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It’s beginning to look a lot like 2022 holiday campaign planning season
Featured stories from Experian MarketingWhile the weather outside is frightfully hot this summer, it’s never too soon to start thinking about the holidays – and consumers are more likely to start their holiday shopping early this year. To get you ready for the 2022 holiday shopping season, we looked back at consumer shopping trends from 2019-2021. What did we learn and what trends do we expect to see this year? Let’s look back. A look back Over the last three years, average consumer spending has increased. Record 2021 holiday sales came amidst a wave of COVID-19 cases, rising inflation, labor shortages, and supply chain problems. Despite these challenges, consumers continued to let it snow when it came to spending during the holiday season. 2022 has been a year with its own economic roadblocks – the war in Ukraine, rising gas prices, and recession concerns. Yet 2021 was a banner year for holiday sales despite its obstacles, and we predict similar trends in the 2022 holiday shopping season. What trends do we expect to see for the most wonderful time of the year? 2022 predictions While consumer spending remains strong, changing economic conditions continue to shape shopper behavior. To develop our predictions for 2022 holiday shopper behavior, we focused on four key areas: When consumers shop Where consumers shop What consumers purchase Consumer media preferences Now, let’s make our holiday campaign planning checklist and check it twice. When consumers shop Chestnuts roasting on an open fire. Jack Frost nipping at your nose. Those aren’t the only ways to know when the holiday season has begun. Shoppers tend to spread out their holiday purchases across multiple months and were more likely to start shopping earlier. To understand holiday retail sales trends from 2019-2021, we identified four shopper segments: Early Shoppers Traditional Shoppers Late Shoppers Random Shoppers What differences did we see between our four shopper segments? Early shoppers made almost half of their holiday purchases in October Random shoppers spread out their holiday purchases evenly across multiple months Late shoppers made almost half of their holiday purchases in December Traditional shoppers made almost half of their holiday purchases in November While December continues to dominate holiday sales, October has started to gain traction over the last three years, and November remains a core shopping month. Everybody knows a turkey and a mistletoe help to make the season bright but knowing when your consumers are most likely to shop will help deck your campaign planning halls. Jingle bell rock your way to holiday sales that shine bright with our tips to prepare for earlier shoppers: Offer targeted promotions earlier in the shopping season Target your ads based on the shopping habits of your customers throughout the season Where consumers shop There’s no place like home for the holidays but most consumers aren’t shopping from home. Despite the rise in online shopping, brick and mortar locations continue to dominate holiday sales. October is the most popular month to take a one-horse open sleigh to a store, and consumers gather around the fire to online shop in November and December. With most shoppers preferring to shop in-store, and e-commerce popularity growing, it’s critical to think about bridging the gap between your online and offline presence for the consumer. Are you offering multiple paths to purchase with solutions such as BOPIS (Buy Online, Pickup In-Store)? Go down in history like Rudolph with our tips to prepare for more in-store shopping: Focus on in-store shopping experience technology (self-checkout, VR, QR codes, scan to pay, etc.) Offer multiple paths to purchase to connect your online and physical presence through methods such as BOPIS (Buy Online, Pickup In-Store), BORIS (Buy Online, Return In-Store), and ROPO (Research Online, Purchase Offline), etc. What consumers purchase When it comes to holiday gifts, for some, only a hippopotamus will do. Compared to pre-pandemic, shoppers are spending more at apparel stores and mass retailers. Spending at specialty retailers, warehouse clubs, and on office, electronic, and games is almost the same across holiday and non-holiday shopping months. Time for toys and time for cheer may be year-round, but are there any correlations between where consumers shop (online vs. in-store) and what they purchase? Our data found that shoppers who bought from mass retailers were more likely to shop online, while shopping for apparel and warehouse clubs was done at a physical store location. Put this insight to the test by thinking through how you can target your consumer based on where they shop in-store and online. You just might find that hippopotamus at a brick and mortar mass retailer location! Consumer media preferences Do you see what I see? While we are seeing a shift to digital media channel preference, consumers still engage with traditional media channels like direct mail and the traditional newspaper. Successfully connecting with your customers involves capturing their attention through the right channel. We found that our four shopping groups prefer a mix of traditional and digital media channels. What does your media channel mix look like? Hark! The herald angels sing of ways to adapt to the change in holiday spend and media preferences: Align your activation efforts to digital, but don’t forget about traditional channels Expand your targeting and activation focus beyond in-store vs. online Download our new 2025 report For a deeper dive into our predictions and actionable insights you can use to take your holiday campaign planning home for the holidays, download our new 2025 report, in collaboration with GroundTruth. Experian data can help you refine your content and creative strategy to achieve maximum ROI for each campaign across all your channels. Download now Get in touch
Hashed Email is a privacy-safe digital identifier that can further enrich and expand the functionality and utility of The Tapad Graph with access to Tapad + Experian’s universe of email data. This provides maximum coverage for targeting and measurement when combined with household and individual IDs such as Cookies, MAIDs, CTV IDs, and IP Addresses. Gain back a clearer view Recent data from DMA shows that 51% of people have held the same email address for over 10 years. Email address data by its nature is authenticated and reliable due to its longevity. When leveraging Hashed Email as an extended functionality of The Tapad Graph, we are able to link on average 5 email addresses to each individual, reaching up to 90% of households across the US. Hashed Email expands the customer view by adding new email address identifiers into The Tapad Graph that associate with traditional digital IDs and cookie-less IDs emerging in the marketplace. Reduce fragmentation; and instead of viewing the emails as multiple customers, with Hashed Email they can be viewed as one user profile. When enabled, clients who wouldn’t traditionally have access to first-party customer emails are able to associate and link privacy-safe emails to individuals and their households. Brands and retailers can use Hashed Email to extend these linkages across offline purchases associated with each email; connecting traditional digital identifiers between walled gardens, activation in programmatic media buys, and addressable TV. With the holiday season quickly approaching, access to Hashed Emails will instantly increase scale, connectivity and improve measurement when efficiency, personalization and holistic attribution are pivotal to marketing strategies. Let’s visualize how quickly the customer journey can become fragmented when email addresses that belong to the same person are not associated. Mary has 3 email addresses that she frequently uses. One for social media accounts Email ID 1, one for shopping accounts Email ID 2, and another for work Email ID 3. Mary is a brand loyalist to a top national retailer and whenever there is a new season, there is a high likelihood that she will purchase the latest seasonal decor from that store. She recently did some holiday shopping in-store where she purchased nearly the whole holiday line. Email ID 2 was used to send her a receipt. However, Mary annoyingly receives the store’s ads on Facebook for holiday decor that she had already purchased. This is because the retailer has not yet identified that Email ID 1 and Email ID 2 belong to the same consumer. If the retailer were to leverage Hashed Email, they would be able to identify that both email addresses used belong to Mary. This association connects her multiple email addresses together, enables her offline purchases to sync with her online activity, and helps to determine the most accurate ROAS. Hashed Email is a cookie-free added view into consumer behavior for control over messaging and for measurement. When leveraging it’s possible to report back across all channels and devices in a universal format to know when and how conversions are taking place. Don’t leave valuable data on the table Hashed Email has use cases beyond reducing wasted media impressions. Hashed Email’s full capabilities extend to campaign measurement and attribution modeling. When utilizing The Tapad Graph combined with Hashed Email, know from the first touchpoint to the last where your customers are engaging. But more importantly, know where households and the individuals inside of those households are converting across all of their digital devices, by using traditional digital IDs, cookie-less IDs, and Hashed Email to associate, measure, and correlate online and offline purchases. Imagine what your campaigns could look like this holiday season if you expanded your graph with up to 5 additional IDs per household. This impact could be a game-changer to scale this holiday season. Hashed Email is a reliable cookie-less digital identifier that expands your customer universe that connects online and offline activity while improving the customer experience and reducing wasted media spend. Enabling Hashed Email for the holiday season is not an opportunity that should be passed on. Where do you sign up, you ask? Get in touch
Identified in The 2021 Digital Advertising Trends Report published by Postclick, marketers are striving to improve and enhance their segmentation and targeting strategies in their digital ad campaigns. Carlos Lopez, SVP of Brand Planning at Digitas Health predicted that in 2021, the challenge will be to overcome the death of third-party cookies and still deliver a personalized advertising experience. It’s fair to say that his prediction will still be impacting marketers past 2021 with the delay of cookie deprecation. These goals along with the constantly changing digital landscape paint a challenging picture for even the most advanced marketers. Marketers can be prepared for the next era of digital marketing by finding the right mix of partners that offer privacy-safe, cookie-free solutions. Smart marketers will employ these solutions and compare these results with data from cookies. The Tapad + Experian Take The Tapad Graph enables brands, agencies, and ad tech platforms to identify and target individuals and households across their digital touchpoints. With this data, they can personalize messages across devices, measure and optimize throughout the customer journey, and then report back on conversions at the individual and household levels. Tapad, now part of Experian, leverages a machine learning algorithm that determines these connections at scale by using probabilistic models with authenticated, privacy-safe, real-time data. There are a myriad of cookieless IDs emerging in the marketplace, and it’s not likely going to be a one size fits all situation. In order to be prepared for the next era of digital marketing, marketers should diversify ID partners and be proactive with testing while the cookie is still around to benchmark against. With Switchboard, a module within The Tapad Graph, we’ve been able to develop connections between traditional digital identifiers (IP Addresses, MAIDs, CTV IDs) and the new wave of cookieless IDs (UID2.0, Panorama ID, ID5 ID) that will be utilized in the future. Here’s an example of what The Tapad Graph and Switchboard looks like at the Household level with various traditional digital identifiers and cookieless IDs. Get in touch