Alexander Vylezhanin is a certified targeting specialist and SMM expert, as well as a partner of VKontakte, with experience dating back to 2013. He works with advertising platforms such as VKontakte, MAX, Telegram, and Avito Advertising, specializing in promoting businesses in the digital space. Over more than 13 years, he has collaborated with clinics, real estate developers, educational projects, entertainment centers, and musical artists, including concerts for bands like Alice and Diana Arbenina, among others. He focuses on long-term results, such as attracting clients and leads, and has access to internal communication channels at VKontakte, allowing him to respond quickly to changes in algorithms and platform policies.

Reviews

The freelancer completes work quickly, efficiently, and on time, meeting client expectations. Reviews highlight their promptness, professionalism, and responsibility. No negative feedback has been reported.

Portfolio projects

Skills and Technologies: targeted advertising, content promotion, audience analysis, social media management (VK, Odnoklassniki), community creation and administration.

Projects and Achievements: The candidate has successfully implemented several advertising campaigns, including client acquisition for cosmetic clinics, construction companies, and entertainment centers. In the "Cosmetic Clinic" project, they achieved 741 leads at an average cost of 633.15 rubles, while in the "Wholesale Goods Delivery from China" project, they generated 207 leads, exceeding KPIs by 55%. In the "BeautyMed Cosmetic Clinic" project, the average lead cost was 500 rubles, and in the "Shark Park Entertainment Center," it was 30-35 rubles per subscriber.

Achievements and Recognition: The candidate has achieved significant results in increasing traffic and engagement in communities, such as "Eavesdropping on Pregnant Women," which has become one of the largest groups in its niche. They also successfully executed a comprehensive promotion for the "Perm Geological Center," resulting in 50 applications for water well drilling during the season.

* 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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