An advertising optimization algorithm is a computer tool capable of automatically improving the effectiveness of online advertising investments. It is primarily used in the field of sponsored links (such as AdWords and Facebook) as well as in automated buying processes for online advertising. These algorithms optimize various aspects, such as the selection of advertising content, the choice of distribution platforms, the targeting criteria used, and the adjustment of bids based on available information about each targeted individual. They can also take into account contextual elements such as the weather or the time of day.

Optimization can be performed based on specific objectives such as the number of clicks, the conversion of leads into customers, or the cost of acquisition. These algorithms are mainly deployed during large-scale advertising campaigns, where advertisers can benefit from hundreds of millions of ad impressions each month by leveraging a vast amount of targeting data. Their use is closely linked to the concepts of personalization and precise targeting that dominate the online advertising industry.

Advertising algorithms have become indispensable in the field of automated digital advertising due to the increasing complexity of the parameters to consider, such as targeting options, contextual data, and ad media. The variations in these parameters have become so numerous and complex that it has become extremely difficult for an individual to manage them all effectively.

Concrete examples illustrate how these algorithms work, such as automated auction management, platforms specializing in optimizing Facebook advertising campaigns, and the positive impact on cost per action achieved by optimizing targeting criteria. These algorithmic tools have become essential in the country.