Classic Advertising and Marketing
Rating: 5 275
Russia Russia
Last activity: 04.02.2026 06:47

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 prioritizes what truly matters to business owners: leads, their quality, cost, and impact on revenue. Sergey conducts preliminary research to ensure clients understand the economics of advertising in advance and offers a step-by-step approach, starting from demand analysis to evaluating the quality of inquiries. He is available for contact via Telegram and email and has verified profiles and reviews on YouDo, his own website, and public channels on Telegram and Yandex Zen.

Reviews

Sergey Butyrin has received positive feedback from clients, who highlight his professionalism, promptness, and availability for consultations. Clients are satisfied with the work he has done and recommend his services. No negative reviews have been found.

Portfolio projects

Skills and Technologies: Management diagnostics, marketing audit, economic analysis, development of manageable models, advertising expense control, business process optimization.

Projects and Achievements: Sergey has successfully implemented projects focused on diagnosing and optimizing marketing systems, including evaluating the feasibility of advertising and controlling advertising expenses. He developed manageable models for generating inquiries, ensuring transparency and predictability in marketing processes. These projects 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 in their systems, reduce unnecessary expenses, and make informed management decisions. His work has transformed marketing from a source of risk into a manageable 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.

русская версия