What is semantic targeting and how does it differ from contextual targeting?

Understanding Semantic Targeting

In a world where users are increasingly sensitive to the protection of their data, advertising targeting must evolve. Qwarry, an innovative company in the adtech sector, offers a semantic targeting model that is based on content analysis, rather than on users' personal data. Semantic targeting analyzes not only the words on a web page, but also their meaning and overall context, allowing advertisers to reach audiences in a more accurate and relevant way. This model is based on artificial intelligence that decodes the profound meaning of content, allowing advertising distribution that is more in line with user expectations and CNIL regulations.

Differences between Contextual Targeting and Semantic Targeting

Contextual targeting, while often confused with semantic targeting, is based primarily on keywords and the immediate context of the content. For example, an article about the “best smartphones” could show ads for phones. However, semantic targeting goes further by analyzing tone, feelings, and relationships between words to interpret the true meaning of the article. This level of precision is critical to avoid inappropriate ads and to ensure that the message is relevant to the target audience. With its Reveal solution, Qwarry offers advertisers 100% semantic targeting, thus guaranteeing more ethical and effective advertising, without using third-party cookies.

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