Recall the significant industry shift when major platforms announced plans to phase out cookies, marking a pivotal moment for digital marketing. Several years have passed since these changes began reshaping the landscape, prompting us to look back and evaluate how the ongoing rejection of cookies has influenced the industry. This retrospective explores the adjustments and innovations that have defined marketing strategies in a world moving beyond traditional cookie usage.
The industry is well into its journey toward a cookieless future, a transformative shift that continues to demand marketers adapt to innovative strategies that forego reliance on third-party cookies. This evolution is redefining advertising in a cookieless world, emphasizing the critical role of first-party data and contextual targeting. As we navigate through these changes, it’s crucial to explore both the challenges and opportunities they present for PPC campaigns. Join us as we delve into the latest innovations and learn how marketers are adapting to this new reality.
NOTE: This post was originally published in December 2020 and was completely updated in June 2024 for accuracy and comprehensiveness.
Third-party data provided promise to digital advertising in the sense that these data provided insight into web users’ web behavior beyond what can be determined by data collected from first-party sources. Using this information, you can easily create strong visitor profiles and build a retargeting list to send ads to visitors and other web users.
Its original use cases were targeting retargeted users, quickly followed by frequency caps. Digital marketing did not offer much scale and efficiency until the exchange and real-time bid (RTB).
Cookies are small text files placed on a user's device by websites they visit, which is crucial for digital marketing. They enable functionalities like session management, user personalization, and behavioral tracking. In marketing, cookies help target ads, analyze site traffic, and optimize user experiences.
However, increasing privacy concerns have led to stricter regulations and a shift towards more privacy-focused alternatives. Understanding and adapting to these changes is essential for marketers to effectively engage audiences in a respectful and compliant manner.
In today’s digital landscape, businesses collect and utilize different types of data to enhance operations, personalize experiences, and drive decisions. Here’s an overview of the key data types:
2020 will be remembered not only by quarantine, but also by the massive transition of the business to online. At the beginning of this year, Google announced its planned departure from working with third-party cookies, signaling a significant shift in the digital advertising ecosystem and marketing strategies. For newcomers to the industry, let’s clarify that third-party cookies are the crumbs of bread by which marketers know two things:
In other words, these are small marketing assistants who help track user behavior and preferences on any platform (desktop, mobile applications). No company doesn’t use third-party cookies in marketing and sales. However, by 2022, it was expected that the world would abandon its use, largely due to increasing concerns over user privacy and the need for the digital marketing landscape to adapt by harnessing first-party data and exploring alternative advertising solutions in preparation for a cookieless future.
Why did this happen? Because data collection usually occurs without notifying users, which in turn is a direct violation of consumer rights and raises significant user data privacy concerns. The Amazon example is very indicative in this case: on December 7, 2020, the company received a lawsuit for 35 million euros for violating the rules for using third-party cookies.
Of course, Google is not the only large company that has changed its use of third-party cookies. Still, it’s its decision that will ultimately change the entire digital economy. Google isn’t for nothing the largest player in the marketing market, and its web browser, Chrome, remains the most popular browser in the world. Not surprisingly, after Google announced its decision, the entire industry fell into a panic. The well-developed technologies for collecting information about users, on which marketers built a whole ecosystem of digital advertising, suddenly became useless.
However, over the past months, marketers around the world have already passed all five stages of taking the inevitable. For now, they’re at the last phase:
The consequences can be divided into 3 levels for business, from minor changes to major ones.
Low impact:If you evaluate the effectiveness of advertising campaigns directly in an advertising service (for example, you only use Facebook Ads and don’t use other advertising services), then the impact of the changes will be low, and you’ll be able to continue working as before.
Average impact:If you work with covered campaigns in walled gardens (the largest being Google and Facebook), then the impact will be average because the covered campaigns will be aimed at metrics collected around campaigns and not users and will be available in the advertising account at the segment level.
High impact:If you evaluate advertising campaigns with advanced analytics that combine user activities at different touchpoints, then the impact will be high. In case you use audience segments and cross-device reports, combining user actions before sending them to advertising services, then the impact will be even higher.
To enable companies to navigate the post-cookie landscape effectively, brands and media agencies must revise their advertising strategies, emphasizing the need for more control over these behavioral targeting strategies through leveraging first-party data and adopting first-party identity strategies. This approach ensures future-proofing against the evolving digital ads' environment.
Orange Valley has prepared a dashboard that helps determine what share of your revenue is at risk. To do this, compare the share of new users in Safari and other browsers. The image below shows that Safari has a 10 percentage point advantage in terms of new users, but we already understand that they aren't all new: many have simply received a new cookie ID.
The absence of third-party cookies will significantly impact pay-per-click (PPC) campaigns in several ways:
Overall, the phasing out of third-party cookies demands significant adjustments in digital marketing approaches, especially for PPC campaigns, focusing more on privacy-friendly practices and innovative data collection methods.
The most important thing is to collect first-party, second-party, and zero-party data:
To collect first-party, second-party, and zero-party data, you must first implement a Customer Data Platform (CDP). Customer Data Platforms are essential for managing and integrating various types of customer data across your business. The data in this data lake must be owned and controlled by you, not by the advertising service. As long as user data is stored in different systems — especially those that don’t belong to you, such as an advertising account or CRM — you can’t analyze any advertising campaign effectively.
💡Read more about why Google BigQuery as a data lake is the best choice for your digital marketing strategy.
You can collect raw user activity data from your website and mobile application. Import the most granular data you can get from advertising services into your data lake. Many marketers use only UTM tags to track transitions from advertising accounts. But UTM tags aren’t enough without a connection to a specific user.
Motivate users to log in to your website and application. Logging in is an underestimated activity that allows you to collect data on a user without IDFA or cookies, use your own identifier, and track the user across platforms. Additionally, consider utilizing contextual targeting as an alternative advertising strategy that doesn't rely on cookies but instead focuses on the relevance of targeted ads based on the content and context of a page, creating personalized experiences at a lower cost.
1. If you're looking for a convenient connector for transferring data to Google BigQuery, we recommend OWOX BI Pipeline. It combines data from Google Analytics, advertising services, websites, offline stores, call tracking systems, and CRM systems into Google BigQuery.
2. If you want to build reports based on Google BigQuery data in your favorite Google Sheets or you want to transfer data from Google Sheets to Google BigQuery, we recommend using the free and convenient OWOX BI BigQuery Reports Extension.
The BigQuery Reports Extension is popular for many reasons:
You can find more details about this OWOX BI Extension here.
In the new realities, we must, firstly, remember about the end-user and respect the user’s privacy. It’s worth noting here that third-party cookies weren’t designed, considering these moments. This is where data management platforms (DMPs) become crucial, as they enable marketers to track user behavior and demographics across different platforms without relying on third-party cookies, thus respecting user privacy while creating detailed user profiles for targeting specific audience segments.
Secondly, you should also not forget that mobile devices occupy more and more positions. Here, device IDs, SDK data, and the use of DMPs come to the help of a marketer in obtaining the necessary information to gain insights about the user and effectively track users in a cookieless environment. By the way, according to a 2020 report by GlobalWebIndex, consumers are increasingly using smartphones to find, buy, and pay for products and services, highlighting the need for alternative technologies to track users across devices and apps.
To monitor the effectiveness of advertising campaigns, Google offers the Ads Data Hub, which consolidates all advertising campaign information available to Google and makes it available for analysis by the advertiser. However, Ads Data Hub doesn’t allow for downloading reports at the user level.
Apple’s SKAdNetwork tool also allows you to assess the effectiveness of advertising campaigns — but not at the user level. If an advertising service is connected to this platform, you can send conversions and signals from a mobile application, from which you can assess the value of a campaign and the interactions between the advertising campaign and users. There are many more restrictions — for example, only up to 100 advertising campaigns per account — and breaking down these campaigns to track a particular user isn’t possible.
For example, if you use the OWOX BI service to collect data from a mobile application (AppsFlyer) and your website (Google Analytics), that’s how your data movement can look.
You can use Ads Data Hub as a tool for combining data on advertising campaigns, collecting data from other advertising services, and adding data from your CRM to build reports and attribution models from audience data.
Preparing for cookie-free targeting solutions requires strategic adjustments across your digital marketing and data management practices. Here are key points to consider for cookie-free targeting solutions:
By adopting these strategies, businesses can better prepare for the challenges posed by the decline of third-party cookies, ensuring sustainable and effective digital marketing and data management practices.
Given the changes in the market and taking into account future forecasts, our experts suggest that marketers will have to face the increase in the following metrics and parameters:
At the same time, there will be a decrease in such parameters as:
In addition, there is a high probability that:
A fragmented user path to conversion and new initiatives to protect sensitive information require entirely new approaches to obtain the data marketers need. Only one thing can be clearly stated — first-party data should prevail in your data analysis. Developing new marketing strategies to adapt to a future without third-party cookies is essential, focusing on leveraging search intelligence, exploring personalization alternatives, and forming second-party data partnerships.
To get more first-party data directly from users, you should think about how to convince your customers to share this information with you. For example, you can use loyalty programs to offer personalized discounts. With this approach, your customers will see value in sharing personal information with you.
And, of course, think about how you will store and process the extracted data. After all, if the data doesn’t work for you, why are you spending money to collect it? If you don’t know where to start, sign up for a demo with our specialists. Our team will help you prepare for the transition to a new post-cookie online advertising world.
Being cookieless refers to digital environments that do not rely on browser cookies for tracking user behavior. This approach prioritizes user privacy and is gaining traction due to regulatory pressures and changing public sentiment about data privacy.
Cookieless tracking utilizes methods that don’t rely on cookies, such as fingerprinting, contextual targeting, and first-party data strategies. These techniques gather insights based on user interactions within a specific domain or derive information from the context of the content being viewed.
Cookieless advertising solutions include paid ads, which target ads based on the content of the page rather than user behavior; first-party data campaigns that use data collected directly from customers; and new technologies like Universal IDs and privacy sandboxes.
A post-cookie world refers to a digital marketing landscape that operates without the extensive use of third-party cookies. It focuses on privacy-compliant methods of user tracking and data collection, prompting marketers to innovate more respectful ways to gather and utilize consumer data.
The cookieless future in 2024 is expected to see the full implementation of alternatives to third-party cookies, with increased reliance on technologies that ensure user privacy. Companies will lean more on direct relationships with customers and context-specific insights, adapting to the global push towards greater data privacy protections.
Enhance your first-party data capabilities, invest in CRM technologies, and prioritize direct user engagement through personalized content and services. This adaptation ensures continued effectiveness in targeting and personalization without relying on third-party cookies.
Focus on building transparent data collection practices, leverage PPC and behavioral advertising, form second-party data partnerships, and explore new privacy-centric tracking technologies like Unified IDs or Privacy Sandboxes. These strategies help maintain relevance and effectiveness in targeted marketing.
Audit your current data practices, increase your focus on securing first-party data, educate your team about privacy regulations, and begin testing alternative tracking technologies. Preparation involves understanding and aligning with consumer expectations for privacy and data security.
Some strategies for adapting to a post-cookie world include focusing on first-party data collection and usage, investing in contextual advertising solutions, and exploring new technologies like artificial intelligence and machine learning for audience targeting.
The shift to a post-cookie world will require advertisers to find new ways to target and reach audiences, such as through first-party data and contextual advertising. It may also result in changes to the overall digital advertising landscape and the relative power of different players in the industry.
The move to a post-cookie world is happening due to concerns about consumer privacy and data protection, as well as changes made by web browsers and operating systems to limit the use of cookies.