Roman Ziborov has been specializing in setting up and managing contextual advertising on Yandex Direct and Google Ads since 2016. He utilizes proven tools and focuses on understanding the algorithms of search engines, which allows him to effectively address clients' needs. His priority is the quality of work and long-term collaboration rather than the number of campaigns completed. He works with clients in a convenient schedule, from 9:00 AM to 10:00 PM, providing prompt support and flexible payment terms.

Reviews

Roman Ziborov is a professional in the field of contextual advertising (Yandex.Direct, Google Ads) with deep knowledge and experience in complex niches. Client reviews confirm the high quality of his work, which includes campaign setup and optimization, audits, conversion rate enhancement, and prompt support. He is punctual, always available, and consistently meets deadlines, often delivering results ahead of schedule. He explains everything in a clear and accessible manner. Many clients note an increase in inquiries, improved performance metrics, and effective budget utilization. While he works with SEO on a limited basis (such as assisting with website improvements based on recommendations), he does not provide full-fledged SEO services. There are no negative reviews.

Portfolio projects

Skills and Technologies: contextual advertising, Yandex Direct, Google AdWords, campaign management, conversion optimization.

Projects and Achievements: The candidate has successfully managed advertising campaigns across various industries, including the sale of goods from China, electronics repair, and ticket sales, demonstrating high conversion rates and CTR. In a project focused on electronics repair, a conversion rate of 15% was achieved from search traffic, while a campaign for selling sweets from Europe achieved a high CTR.

Achievements and Recognition: The candidate has shown the ability to effectively work with large budgets and achieve significant results in various advertising campaigns.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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