By Editorial Staff with No comments Search Engine MarketingDigital Marketing
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Google announced yesterday, Thursday, February 22, 2024, the addition of Gemini models to Performance Max with the aim of helping advertisers “create high-quality materials, on a larger scale,” according to the post on the official Google blog signed by Pallavi Naresh, Product Manager of the company .
In this sense, the publication that we echo in Marketing Insider Review highlights that “advances in AI contribute to boosting the results of our advertisers” because “it helps to create more effective campaigns and generate creative materials with the volume, speed and variants they need to create relevant interactions with people who consume.”
The addition of Gemini models to
Performance Max campaigns therefore comes after the launch of AI-assisted image editing and resource generation in Performance Max . The company also announced that by March 2024, “image editing will be fully implemented in the United States” and that “it will not take long to expand to the rest of the world” in English.
Google also announced that in the near future, as it updates its image generation specific database by industry models to Image 2, adapted for Google Ads, “Performance Max will be able to generate images of everyday life that show people in action.” An aspect in which the company reminds that advertisers cannot use content prohibited by the Google Ads usage policies and guidelines for the use of Generative Artificial Intelligence, in addition to the use of watermarks to identify images generated with AI – in this link you can read an article on AI tools to create images -.
Advantages of Gemini models in Performance Max campaigns
Below, we explain the advantages that the Gemini models that Google has through software systems that support incorporated into Performance Max campaigns bring to advertisers, following the information provided by the company’s official blog.
Improved Ad Strength Index and more ways to create engaging materials
First, Pallavi Naresh refers to the improvement of the Ad Strength Index , which is an indicator that “provides real-time feedback on the variety and relevance of resources.” In this regard, the company claims with this announcement that “the use of cg leads generative AI greatly helps in improving the material mix.”
