mobile ads, and page speed improvements.

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Actively use data for targeting. Use data collected about users through analytics and on-site behavior to create personalized advertising offers. For example, machine learning algorithms can help determine which users are most likely to make a purchase and show them relevant ads.
Investing in multi-channel campaigns. To achieve maximum efficiency, advertisers should use different channels for promotion: Google Ads, social networks, video platforms. Multi-channel strategies help not only to increase brand visibility but also to ensure higher conversion rates.
Examples of successful cases
Nike actively uses video formats for advertising campaigns, which not only brazil consumer mobile number list increase engagement but also demonstrate the product in action, which contributes to the growth of conversions. In 2025, the company will continue to develop the use of video ads, improving interaction with users on various platforms.
Amazon uses machine learning for personalized targeting. Using data about purchases and viewed products, the company offers relevant ads to potential customers, which increases conversions and reduces advertising costs.
Trends in contextual advertising
Mistakes, risks or difficulties when using contextual advertising
Common Mistakes and How to Avoid Them
Underestimating the importance of quality content. Many advertisers continue to use the same template ads that do not attract attention. This reduces the effectiveness of advertising and increases its cost.