Case studies in numbers, the way a report does it

Advertising holding a 10.2% cost of sale against a 15% target

An online store selling professional cosmetics. Campaign management and audit: clearing out dead keywords, switching off junk display placements and moving budget into the strong segments — abandoned carts and past buyers.

Best segments: carts at 4.3% cost of sale, past buyers at 3.5%. The audit found a further ≈₽43,000 a month in losses.

A site search engines couldn’t see, and display traffic burning the budget

Professional hair care. The SEO audit showed that 65% of the links in the sitemap returned 404 — for months, crawlers had been walking pages that no longer existed. A parallel review of the ad account found budget draining into junk display inventory. Both reports came with a 30-60-90 plan.

The full loop: from front-end markup to offline conversions

A fitness studio in Saint Petersburg. We finished the website (speed, contrast, calls to action, responsive images), launched Yandex Direct from scratch, connected online payments with SMS notifications, and set up offline conversion upload into analytics — so automated bidding learns from real sales rather than clicks.

The proving ground where we test everything before clients see it

Our own school teaching AI tools runs on the same stack we sell: webinar funnels in the LMS, traffic from paid search, follow-up sequences and a dashboard where revenue is reconciled against the bank and net profit is calculated by formula rather than by feel.

net = (revenue − payment fees) × 0.88 — the formula from our own dashboard.

AI agents already working with live customers

Our content generation service is run by agents: the support agent answers customers with drafts approved over Telegram, an SEO agent built dozens of landing pages and a 50-lesson course, and a marketing agent optimises the ad account every day. All of it is process we then transfer to clients.