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
Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing.
Latest posts
2013 has been a milestone year for those lobbying on behalf of expanded rights of Lesbian, Gay, Bisexual and Transgendered (LGBT) Americans. With 12 states and the District of Columbia now formally recognizing same sex marriages and two highly anticipated rulings from the U.S. Supreme Court expected shortly, the momentum is currently on the side of those seeking greater recognition and support of LGBT-related issues. The speed with which public attitudes have shifted towards greater acceptance of LGBT individuals and their causes has left many marketers scrambling to devise plans that are not only inclusive of LGBT consumers, but in many instances, designed to overtly and publically court this influential and growing consumer segment. The 2013 LGBT consumer report out from Experian Marketing Services delivers insights marketers need to better understand the market that is on everyone’s radar. In this first of a series of blog posts, we’ll highlight key data from the report. Readers can download the full report at any time here. Living out Loud In 2006, when Experian Marketing Services first began measuring sexual orientation among respondents to our Simmons® National Consumer Study, we found that 3.4% of all non-Hispanic adults self-identified as either lesbian, gay, bisexual or transgendered (LGBT), a figure consistent with what leading LGBT researchers predicted at the time. However today, 4.3% of the non-Hispanic adult population self-identifies as LGBT, a figure that has risen slowly but steadily year-after-year. Younger adults have consistently been more likely to identify as LGBT, and in fact today, 5.8 percent of 18 to 34 year olds say they are lesbian, gay, bisexual or transgendered. As a result, the adult LGBT population predictably skews towards the younger age cohorts. Specifically, 36% of LGBT adults today are aged 18 to 34 versus 26% of the heterosexual population in that age range. Likewise, while 20% of heterosexual adults are age 65 and older, just 16% of LGBT adults are in this age range, though our data shows that the share of adults age 65 and older identifying as LGBT has also risen. Home and Family As a growing number of U.S. states pass laws recognizing same-sex marriages and civil unions, we see an increasing percentage of gay and lesbian Americans reporting that they are married. In 2007, for example, when only Massachusetts allowed same-sex marriage, 8% of gay men and 14% of lesbian women said they were married. Today, 17% of gay men and 16% of lesbian women are married. Marriage rates among lesbian and gay adults still lag well behind those of heterosexuals, but the gap is closing from both sides. In fact, while marriage rates are rising among lesbians and gays, they’re falling among heterosexuals. Today, 58% of heterosexual men and 53% of heterosexual women are married, compared to 60% of heterosexual men and 55% of heterosexual women who were married in 2007. The Pink Dollar Income levels are important to consider when targeting consumers, but more important is determining the amount of money left over for non-essentials after the other bills are paid. Despite earning nearly identical salaries, gay men have lower annual household discretionary expenditures than heterosexual men. Likewise, lesbian households have fewer dollars than those of heterosexual women to spend on non-essentials. This is mostly likely due to the fact that both lesbian and gay adults tend to reside in larger cities where the cost of living can be considerably higher than average. Interestingly, when household size is brought into the equation, we see that gay males actually have higher discretionary spending per capita than heterosexual men. In fact, gay men live in households that devote $6,794 per capita annually to non-essentials, which is $753 more than what heterosexual men spend. Forthcoming posts from this series will include insights into the automotive and food vertical markets; the mobile habits of LGBT consumers; and an examination of online visitors to LGBT content sites. Don’t want to wait? Download the full report now. Also, learn more about the Simmons LGBT Consumer Study, the only syndicated, national probability sample survey that measures the lifestyles, attitudes, media habits and brand preferences of the LGBT population giving marketers actionable insights into this powerful consumer segment that can be directly compared with those of heterosexuals.
The importance of affiliate marketing as a marketing channel is evident; it ranks as one of the most effective marketing channels for retailers, along with paid search and e-mail. While effective affiliate marketing relies on two groups, the publishers (affiliates) who display advertisements online and the advertisers (merchants) who aim to increase sales for their online shop, incorporating insights from Experian Marketing Services’ Hitwise can strengthen affiliate programs. I recently worked with Rakuten LinkShare on a webinar which highlights how their affiliate marketing services partnered with Hitwise create a proven package for success by providing valuable and actionable insights to affiliate marketers in understanding and targeting key consumer segments. Identify sites sending traffic to your category For our case study, we examined a custom category of Rakuten LinkShare department store clients and compared them with a category of department store non-clients. Using Hitwise, we examined which publisher sites sent traffic to each of the categories in order to identify the best affiliates to partner with. Among the top 20 publisher websites, a number of fashion and style content websites were sources of traffic to LinkShare Department store clients. Fashion and trend focused affiliate sites, namely ShopStyle and Polyvore, pointed to clear fashion editorial interest amongst those who visited LinkShare department store clients. Consider search terms used to capture consumer interest and intent Next, we looked at generic terms that sent traffic to affiliate site ShopStyle. Terms included searches for products sold in department stores such as variations of “heels” and “dresses”. The data indicates that ShopStyle is a good candidate to partner with because it attracted visits from those who are interested in fashion, looking for a deal, and who are likely in-market for specific products. Monitor effectiveness of affiliate programs and make timely decisions Hitwise can also be used by marketers to evaluate the effectiveness of their affiliate partnerships. For this example, we were able to show that Rakuten LinkShare affiliates sent a larger share of traffic to department store clients versus non-clients, pointing to a clear benefit from affiliate partnerships. As affiliate marketing is an increasingly critical channel for marketers, the importance of selecting the best and most relevant publishers is clear. When used in conjunction with affiliate marketing programs, Hitwise enables marketers to understand competitors’ online distribution and sources of traffic, select the best affiliates to partner with, and quantify the return on investment from partnerships.
New data from Experian Marketing Services’ Simmons® ConnectSM mobile and digital panel sheds light on the way smartphone users spend time using their phone, with the average adult clocking 58 minutes daily on their device. On average, smartphone owners devote 26% of the time they spend on their phone talking and another 20% texting. Social networking eats up 16% of smartphone time while browsing the mobile web accounts for 14% of time spent. Emailing and playing games account for roughly 9% and 8% of daily smartphone time, respectively, while use of the phone’s camera and GPS each take up another 2% of our smartphone day. *Activities include use of a smartphone’s native features dedicated to each activity as well as downloaded apps whose primary function falls under the given activity. For instance, “watch video” includes the act of watching video on the smartphone’s native video player as well as use of video apps such as YouTube, Netflix, etc. iPhone versus Android users Smartphone users may constantly debate which operating system is supreme, but we see clear differences between the ways consumers use their phone depending on the operating system that runs it. For starters, iPhone users spend an hour and fifteen minutes using their phones per day, a full 26 minutes more than the typical Android phone owner. Additionally, iPhone and Android smartphone owners use their phones in markedly different ways. For instance, 28% of the time that Android users spend using their phones is dedicated to talking, whereas iPhone users spend only 22% of their smartphone time talking on the device. Android owners also devote a greater share of time visiting websites on their phone than iPhone owners. On the other hand, iPhone owners spend a disproportionately greater share of smartphone time than Android owners texting, emailing, using the camera and social networking. Note on time spent It may surprise some to read that an activity like watching video accounts for such a small share (less than 1%) of the typical adult’s daily smartphone use. However, for the charts above to sum to a single daily total it was necessary to calculate individual activity contribution using a base of all smartphone owners, including those who don’t spend any time engaging in a given activity during a typical day. The chart below provides additional insights into the time spent engaging in the major smartphone activities examining only those individuals who engaged in each activity during a 24-hour period. I’ve also added into the chart a reach and frequency metric to indicate the popularity of each activity and the number of times per day that individuals engage in them. In the chart, the activities with the largest bubbles are those in which the greatest share of smartphone owners engage during a typical day and include the usual suspects: talking (79%), texting (76%), visiting websites (62%), emailing (61%) and social networking (52%). Activities with the fewest daily participants are: watching video, which 2.3% of smartphone owners do during a typical day, and reading, which just 0.5% of smartphone owners do daily. Given that nearly 98% of smartphone users don’t watch videos on their phone during a typical day, it’s easier to understand why video comprises such a low share of the average adult’s daily smartphone use. However, the chart above reveals that those who do watch video on their phone spend, on average, 5 minutes a day watching videos spread out over 4.2 different viewing sessions. For more information on consumers’ usage of smartphones, digital tablets, computers and other traditional and digital media platforms, check out Simmons Connect.