Serhii H.

$533 per lead. That's what a tree service was paying when they found me. Now it's $68.

A wholesale store went from 1 to 4 orders a day to 23 to 30. An Apple reseller in Switzerland went from 15 sales a month to 80+, with conversion cost cut 3.5x in three months.

Same products. Same market. Mostly the same budget.

Most people come to me after six months of burning money on ads that produce a nice looking dashboard and no sales. The creative is rarely the problem. The problem is that the pixel double counts, the campaign structure never lets the algorithm finish learning, and someone scaled a budget based on numbers nobody verified.

I check those three things before I touch anything. It usually takes a day to find which one is killing your account.

WHAT I'VE ACTUALLY DONE

📌 Scaled an e-commerce store from $10K to $60K/month at 500%+ ROAS
📌 ROAS 21 for a wholesale store, daily orders from 1 to 4 up to 23 to 30
📌 CPL from $533 to $68 for a tree service, 84 leads and 97 calls per month
📌 28,000+ leads per month at $1.46 each for a US recruiting firm on Google Ads
📌 830 bookings at €6.1 CPL for a Malta coliving space, target was €9.3
📌 +267% customers for a Kyiv auto service at $11 CPL on Meta, $14 on Google

60+ businesses since 2018. Budgets from $1K to $60K+ per month. E-commerce, local services, real estate, fitness, recruitment, B2B.

WHAT I DO

✅ Meta Ads. Lead gen, e-commerce scaling, creative testing, retargeting, Advantage+ and broad, structures built so the learning phase actually ends.

✅ Google Ads. Search, Performance Max, Shopping, feed optimization, keyword and bid management.

✅ TikTok Ads. E-commerce and lead gen.

✅ Tracking. GA4, GTM, Meta Pixel and Conversion API, GoHighLevel, CRM integration. You will know which campaign produced which sale.

✅ Reporting. ROAS, CAC, CPL tied to revenue. No impressions, no reach, no engagement rate.

HOW IT STARTS

Audit. I go through your account, tracking, funnel and past data before changing a single setting.
Tracking gets fixed. Every time. No exceptions.
Testing in a sequence that gives answers instead of noise.
Budget goes up when the data says so. You always know what's working and where the money went.