Companies are trying to follow trends such as the increase in video format usage, growth of mobile traffic and development of artificial intelligence capabilities for advertising targeting. The response to changes in user behavior is the willingness of brands to experiment with new formats and platforms, playing to increase trust in advertising messages.
The business actively uses machine learning for audience segmentation and campaign optimization, paying attention to content that creates value and thus increases customer loyalty.
6. A practical example of using contextual and targeted advertising
Let's consider a company from St. Petersburg that sells specialized equipment for cafes and restaurants. The marketing director decides to cover two tasks: to attract attention to a new range of coffee machines and to increase brand awareness among private entrepreneurs.
The first task was solved with the help of contextual advertising in Yandex canada whatsapp number datausing key queries like "buy a coffee machine for a cafe". The ads were actively shown to the target audience, which led to an influx of interested buyers.
The second task required a more sophisticated targeted advertising campaign on the social network VKontakte. The company developed a series of advertising posts telling about the advantages of cooperation and targeted them at an audience aged 25-45 with interests in business and restaurant business. The posts collected a significant number of likes and reposts, which contributed to the growth of brand recognition and loyalty.
Conclusion
By understanding the key differences and features of contextual and targeted advertising, companies can more consciously distribute their marketing efforts. The main thing is to understand the goals and objectives that the business faces, and based on this, choose the appropriate type of advertising.
Current trends in advertising and companies' reactions
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