Anna Timchenko specializes in setting up contextual advertising in Yandex.Direct, with over 10 years of experience. During this time, she has successfully completed more than 100 projects and received 20 positive reviews from clients. Each project typically takes her about 7 working days to complete.
Anna Timchenko has proven herself to be a responsible and professional specialist in setting up contextual advertising. All clients have noted the high quality of her work, the promptness in task execution, and adherence to deadlines. Anna pays attention to detail, considers client preferences, and offers valuable recommendations for optimizing advertising campaigns.
Skills and Technologies: Contextual advertising, SEO promotion, Yandex.Direct, Google Adwords, audit and optimization of advertising campaigns, creation of semantic core, copywriting, internal and external optimization, crowd marketing.
Projects and Achievements: The candidate has successfully implemented projects for setting up and managing advertising campaigns and SEO promotion across various industries, including lighting equipment, auto parts, security systems, real estate, and tourism. Significant results have been achieved in SEO promotion: 54 queries in the TOP 10 for an auto repair site, 51 queries in the TOP 10 for the company "All for Gates," and 50% of keywords in the TOP 10 for an automatic garage door site. In contextual advertising, the candidate has achieved a reduction in click costs and an increase in conversion rates. For example, for a company manufacturing monuments, the cost per goal was reduced by 5.5 times, and conversion increased by 4 times.
Achievements and Recognition: The candidate has demonstrated the ability to significantly improve the performance of advertising campaigns and SEO promotion, as evidenced by a steady increase in applications and search engine rankings. Among the achievements are reducing the cost per goal by almost 14 times for a travel agency and successfully promoting a website to the top of search engines in less than 5 months for a gas station equipment online store.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.