What were the changes to Google and Facebook’s ad algorithms in 2024

The advertising algorithms of well-known platforms like Facebook and Google are constantly changing, which leads to changes in the effectiveness of advertising campaigns and the strategies used by webmasters. This year's changes in various advertising algorithms are aimed at improving privacy protection, fighting information technology fraud, and improving user experience.  People involved in affiliate marketing should adapt to these changes by adjusting the affiliate marketing strategies used Here are the major changes this year on each of the platforms listed and what you need to do to properly adapt to them

Changes in Facebook's algorithms

Facebook (now Meta) has been constantly adapting the algorithms it uses in recent years, thus responding to stricter requirements for privacy of information and the fight against high fake activity. This trend has been observed in the current year as well. Emphasis is placed on improving personalized recommendations and information processing in the face of limited tracking.

Major changes in algorithms:

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1. Limitations in the data tracking process. Due to the constant tightening of privacy policies, the accuracy of targeting is gradually decreasing.
2. Striving to make content more relevant. Facebook's algorithm favors more organic content that can engage users. It does this by offering them ads that have been selected based on their actions on the site.
3. Carrying out machine learning. To enhance personalization, the algorithm uses the capabilities of artificial intelligence, conducting an assessment of their behavior and interests even when it is difficult to obtain information from third-party sources.

What to do for customization?

• invest in high quality content. As engagement becomes increasingly important, advertisers need compelling, attention-holding content. Emphasize the value of the ad offer;
• use Facebook's Conversion API to fill the data gap caused by tracking limitations. With this API, you'll be able to feed your content directly to the platform, avoiding browser limitations;
• leverage lookalike user audiences. Facebook's algorithms are still able to effectively create them using available data and improve targeting without using third-party cookies, despite the limitations.

Changes in Google's algorithms

This company is also constantly improving the algorithms it uses. It implements AI and machine learning to make targeting more accurate, optimize advertising campaigns. This year, the main focus is on improving Google Ads and the ability to navigate to ads without cookies.

Major changes

1. Transition to Privacy Sandbox. Google is intensively developing an environment that allows advertisers to effectively target and measure results without using third-party cookies. This system uses group (cohorts) rather than individual user actions.
2. Improved smart company algorithms. These algorithms are constantly being upgraded, getting better and more efficient. This allows them to perform automatic optimization of targeting, bids, and ads based on machine learning and collected data.
3. Google Performance Max. This campaign is actively used by advertisers. It provides an increased degree of automation with coverage of all Google channels - Gmail, YouTube, display, search.

What to do for customization?

• use contextual targeting. In the absence of cookies, it takes into account the content of web pages and serves as a meaningful tool for running an advertising campaign on Google. When customizing ads, consider the user's interests and context;
• invest in Performance Max. With its help, you will be able to perform automatic campaign management using artificial intelligence. This will give you the opportunity to minimize the amount of manual work and make the campaign more effective. To maximize results, provide quality information to the algorithms (target audience, creativity, etc.);
• optimize the resource for experience. Google reinforces the importance of user experience. The interactivity of pages, the possibility of their adaptation for smartphones, the speed of loading have a direct impact on the level of effectiveness of advertising.

Conclusion

The changes in Google and Facebook algorithms force webmasters to be as flexible as possible and react quickly to all changes. The main changes are more active implementation of artificial intelligence, data privacy protection, and automation of processes. Webmasters who are able to adapt to the changes will have a significant advantage. They will be able to maximize the benefits of their campaigns.