About me

Growth Marketing | Data-Driven Advertising Strategies

I’m a results-driven digital marketing professional with over 8 years of experience in leading marketing strategies for e-commerce and tech companies. I've worked both in established organizations managing multimillion-euro budgets and in startups, designing and launching strategies from scratch. I focus on improving ROI and LTV while driving sustainable growth.

I collaborate closely with product and sales teams to align marketing efforts with business goals. I thrive on solving complex challenges, optimizing campaigns, and delivering measurable results.

Work Experience

Marketing Consultant

Shakespear-bot
Shakespear-bot (startup)
AUG 2024 - PRESENT
  • Cofounded a startup focused on developing an AI-powered chatbot for the people who want to learn relocate.
  • Conducted market research and qualitative research of the target audience.
  • Created go-to-market strategy.

Lead Performance Marketing Manager

Avito (ex. OLX)
Classified with 60M MAU and €1B annual revenue
JUL 2021 - AUG 2024
  • Implemented a data-driven approach by continuously conducting A/B testing in order to optimize advertising campaigns. This resulted in achieving a 26% YOY growth in ROAS and a 19% YOY increase in buyers.
  • Managed agency partnerships, boosting ROAS by 34 percentage points and effectively scaling budgets by 28% within 6 months.
  • Development and launch of a promotion strategy for the new product in digital channels. As a result, the channel's share in lead generation >30%.
  • Conducted market research and analyzed consumer preferences to identify and test new traffic channels, adding 2% to revenue with an ROAS above 250%.
  • Implemented and scaled UGC content strategy across promotion channels, achieving 15% increase in app-installs.

Performance Marketing Manager

Litres
№1 retailer of ebooks in Russia and CIS with 12M MAU
APR 2019 - JUL 2021
  • Conducted thorough competitor research and developed a promotion strategy for the European market, driving 83% growth in orders and reducing the Cost Per Order by 58% within the first year.
  • Enhanced remarketing efforts, achieving a 38% increase in cross-sales.
  • Redesigned search campaigns and optimized keywords on Google Ads, leading to a 41% reduction in CPO.
  • Developed and launched paid social campaigns on FB ads, resulting in sales increase by 33% within the allocated budget
  • Stayed up-to-date with industry trends, continually testing and adopting new techniques that led to a 36% improvement in overall campaign performance

SEM Specialist

KIT Soler
Digital advertising agency (e-commerce, retail, services, real estate)
JAN 2017 - MAR 2019
  • Achieved a 62% increase in orders on the hypermarket "Globus" website while maintaining a strong ROAS.
  • Reduced CPL to 29% by conducting A/B tests and implementing optimizations for educational courses.
  • Successfully managed up to 10 simultaneous projects spanning e-commerce, services, and education sectors, showcasing strong multitasking and project management skills.

Sales and Marketing Intern

Adidas
Athletic apparel and footwear corporation
AVG 2014 - JAN 2015
  • Assisted in organizing and promoting events.
  • Prepared marketing reports and presentations for senior staff.

Education

Plekhanov Russian University of Economics

Bachelor, Management
Graduation project: Business models and development strategies of e-commerce companies
2010 - 2014

Professional Development

Data-driven Product Management Simulator

GoPractice Inc • 2025

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Google Ads - Measurement Certification

Google Digital Academy (Skillshop) • 2024

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Google Prompting Essentials

Google • 2024

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AI for Marketing

Coursera • 2024

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Marketing Analytics

University of Virginia • 2024

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Basic SQL

Avito training center • 2022 - 2023

Effective management

Avito training center • 2021 - 2021

Performance-marketer

Netology training center • 2020 - 2021

Publications

Analyzing Cultural Biases and Socioeconomic Influences in Online Ratings

View Paper
D. Marukhlenko, Gohar Feroz (University of Waikato/Zayed University)
Under review in Scientific Reports
  • Showed that countries socioeconomic factors influence online ratings.
  • Discovered that hotel guests from English-speaking countries tend to give higher and less varied ratings, than predominantly Muslim countries that use a wider range of scores resulting in lower average ratings.
  • Showed that hotel scores were most predictive of Hofstede's cultural dimensions of Individualism vs. Collectivism and Long-Term Orientation vs. Short-Term Normative Orientation.

Complementing the classification of SnP500 companies using investors' preferences

A. Lensky (UNSW), P. Dworznik, D. Marukhlenko, G. Muraviev, Daniel Prior (UNSW)
Submitted to Finance Research Letters
  • The industry a company is classified to in SnP500, is often different from the investors' perception of the company's industry.
  • A simple Bayesian model predicts companies section (1 out of 11) with 47% accuracy rate.
  • If investors are split into groups with an equal number of sentiment scores given by less active analysts, high active analysts and critics, then the former provide more informative sector prediction models.