Sergey Butyrin resume

Sergey Butyrin is a specialist in contextual advertising, focusing on Yandex.Direct and delivering real results for businesses. With over 12 years of experience in internet marketing, he concentrates on what truly matters to business owners: leads, their quality, cost, and impact on revenue. Sergey conducts preliminary research to ensure that clients understand the economics of advertising in advance and offers a step-by-step approach, starting from demand analysis and ending with the evaluation of lead quality. He is available for contact via Telegram and email, and he has verified profiles and reviews on YouDo, his own website, as well as public channels on Telegram and Yandex Zen.

Reviews

Sergey Butyrin is a professional performer who efficiently and effectively handles tasks, including advertising setup. Client reviews are positive, highlighting his clear adherence to requirements, availability, and recommendations for further collaboration. No negative feedback has been identified.

Portfolio projects

Skills and Technologies: managerial diagnostics, marketing audit, economic analysis, development of managed models, control of advertising expenses, optimization of business processes.

Projects and Achievements: Sergey has successfully implemented projects focused on diagnosing and optimizing marketing systems, including assessing the feasibility of advertising and controlling advertising expenses. He developed managed models for lead generation that ensure transparency and predictability in marketing processes. Throughout these projects, he identified bottlenecks in marketing strategies, proposed alternative action scenarios, and created conditions for scaling businesses without losses.

Achievements and Recognition: Sergey has helped business owners understand the real role of marketing within their systems, reduce unnecessary expenses, and make informed managerial decisions. His work has transformed marketing from a source of risk into a managed financial tool, enabling businesses to avoid scaling losses and improve financial stability.

* 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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