Indicators
- Last visit: 16 days 9 hours ago
CV
🔹 PPC / Google Ads specialist for e-commerce
🔹 Data-driven approach, analytics, system thinking
I specialize in PPC and Google Ads for e-commerce businesses where advertising is part of a broader business system, not just a traffic channel.
My approach is shaped by hands-on experience working inside e-commerce: understanding unit economics, product, conversion, and operational constraints. That’s why I don’t focus only on “nice-looking campaigns”, but treat paid traffic as a profit-driving tool.
I work in a data-driven way: reliable analytics, clear cause-and-effect logic, and decisions that can be scaled without breaking performance. No “magic” inside ad accounts and no unrealistic promises.
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🔧 What I work with:
✔️ Google Ads (Search, Shopping, Performance Max)
✔️ PPC for e-commerce
✔️ Product feeds, including large and complex catalogs
✔️ Analytics: GA4, GTM, proper conversion tracking
✔️ Optimization with margin and scalability in mind
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⚙️ How I work:
– start with data and current account analysis
– verify analytics and conversion tracking accuracy
– evaluate advertising from a unit economics perspective
– suggest solutions focused on long-term results
I work transparently and systematically, with a strong focus on business outcomes.
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🤝 Cooperation formats:
– audit and consultation
– PPC / Google Ads setup
– long-term campaign management
– partnership-focused collaboration
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👥 Best fit for:
– e-commerce businesses already running paid traffic
– teams looking to fix analytics and decision-making
– founders and managers who want to understand what works and why
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🏅 Additional:
– Google Partner status
– Active Google Ads certifications
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📩 Open to discussing your project and goals. Feel free to message me and see if we’re a good fit.
Tags
Skills and abilities
Promotion
- Contextual Advertising 16 USD for hour
- Lead Generation & Sales
Services
Portfolio Works
Indicators
Total projects:
0
Average rating:
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Type | Budget | Proposal | Deadline | Added |
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| Not specified |
22 USD
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14 days | 17 Mar | ||
| 112 USD |
111 USD
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3 days | 13 Feb | ||
| 134 USD |
168 USD
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14 days | 11 Feb | ||
| 134 USD |
313 USD
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30 days | 11 Feb | ||
| Not specified |
448 USD
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30 days | 10 Feb | ||
| Not specified |
269 USD
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30 days | 9 Feb | ||
| Not specified |
448 USD
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30 days | 9 Feb | ||
| 112 USD |
224 USD
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7 days | 8 Feb | ||
| Not specified |
16 USD
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1 day | 8 Feb | ||
| 92 USD |
90 USD
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7 days | 8 Feb |