Third-party cookie deprecation: 8 strategies to effectively target your prospects

As third-party cookies gradually disappear, the digital marketing world is undergoing a transformation. While these tools were essential for personalizing advertising and analyzing user behavior, new data privacy regulations, such as GDPR, and browser initiatives like Google's are changing the game. But don't panic! There are alternatives for effectively targeting your prospects while respecting their privacy. Here are 8 solutions to help you navigate this new era of marketing.

1. First-party cookies: more direct targeting

First-party cookies, collected directly on your site, allow you to track user actions only while they interact with your own content. This is a more transparent and data-respectful method. Additionally, users are often informed and can manage their preferences clearly, which builds trust. If you have an e-commerce site like Zalando, you can use first-party cookies to remember items a user has viewed. That way, when they return, they'll find those products in their suggestions, creating a smooth and personalized browsing experience, without interfering with their privacy outside of your site. 

2. Local Storage and Contextual Data Management

Local storage allows for storing information in the user's browser, such as their preferences or the last product they viewed, without using cookies. This mechanism works by keeping data directly within the browser, allowing the information to remain local and accessible only on the user's device. It does not require sharing data with external servers, which ensures better privacy and security of the information. When you browse Netflix, if you interrupts An ongoing episode, the platform remembers your last position. This is not thanks to third-party cookies, but thanks to local storage. This type of solution allows for a smooth user experience without violating privacy. 

3. Login identification: truly understand your users

Encouraging users to create an account on your site is an effective way to obtain valuable information. This allows you to better understand their preferences and offer them personalized experiences. This type of collection is generally more transparent, as users have complete control over the information they share, and you can offer them options to manage or delete this data at any time. Amazon uses this method perfectly. When a user logs into their account, Amazon knows exactly which products they have already purchased, its search history, and its preferences. With this information, Amazon can offer personalized recommendations without relying on third-party cookies. 

4. CRM: Leveraging Direct Data for Better Targeting

Data from your CRM (Customer Relationship Management) is information collected directly from your customers through interactions on your site, your calls to action, or your customer service. This data is often very valuable because it allows you to better understand your users' needs and behaviors, while being collected consensually. By having access to this information, you can create detailed and segmented customer profiles, which allows for more precise targeting of prospects. Sephora, a very popular cosmetics brand, uses its CRM to send personalized promotions based on its customers' previous purchases. If a customer buys an anti-aging cream, Sephora can send them an offer on a complementary serum, which increases the likelihood of conversion. 

5. Intent Signals and Contextual Data: Targeting When It Matters

The intent signals are the actions taken by a user that reveal their purchase intentions. For example, when a consumer explores multiple pages of similar products or conducts specific searches, these behaviors can provide clear clues about their needs. Using these signals allows you to target your prospects precisely, without having to resort to third-party cookies. Walmart uses intent signals to offer a personalized shopping experience. Imagine an user browses several TV pages and compares the features of different models. Thanks to these intent signals, Walmart can offer them specific promotions on TVs or compatible accessories, directly on its site, without needing to track their browsing habits outside of its platform. This allows for providing them with relevant recommendations when they need them most, while respecting their privacy.

6. Create personalized content based on internal data

The use of internal data collected on your site allows for the creation of highly personalized content. Unlike third-party cookies, this data comes directly from user interactions with your site, making them more relevant and reliable. They can come from various sources, such as pages visited, products viewed, preferences provided through forms or quizzes, or even interactions with your customer service. By analyzing this data, you can anticipate your users' needs and offer them an experience tailored to their expectations. Spotify personalizes its music recommendations based on listening habits. If you often listen to rock, the algorithm will suggest playlists and concerts related to that musical genre. It uses internal data to provide a tailor-made experience. 

7. Artificial Intelligence for Smart Targeting Without Cookies

Artificial intelligence (AI) enables rapid analysis of enormous volumes of data and makes predictions about user behavior without relying on third-party cookies. Through advanced algorithms, it can identify trends, segment audiences, and adjust recommendations in real time. Unlike traditional methods based on tracking via cookies, AI relies on internal and contextual data to refine personalization while ensuring better privacy. This technology is particularly effective for optimizing user engagement. Nike, with its Nike Training Club app, uses artificial intelligence to analyze user performance and offer them personalized training programs based on their level, their goals, and their preferences. AI allows Nike to target users very precisely without needing to track their browsing on other sites. 

8. Contextual Targeting: Advertising at the Right Time

Contextual targeting is a technique that involves displaying ads based on the content a user is viewing in real-time, without needing browsing history. It relies on semantic analysis of web pages, allowing relevant advertisements to be associated with keywords, themes, and the structure of the content being viewed. This ensures ads are tailored to user interests without intruding on their personal data. Imagine you are reading an article on Le Monde about traveling in Europe. If you use a platform like TripAdvisor, you might see ads for hotels in Europe or flight deals, simply based on what you are currently reading, without the need for third-party cookies. 

The end of third-party cookies isn't the end of personalized digital marketing. With these eight solutions, you can continue to target your prospects effectively and respectfully, while adhering to new privacy rules. Solutions like first-party cookies, CRM, artificial intelligence, and contextual targeting offer robust alternatives for personalizing the user experience while respecting privacy. The key is to adapt your strategy and remain transparent with your users. By doing so, you can maintain a trusting relationship while improving your marketing performance.