Marketing Automation
A custom layer across Google, Meta, TikTok and AppLovin—from campaign creation and automated tests to budget, creative and LTV recommendations.
MARKETING AUTOMATION · GOOGLE · META · TIKTOK · APPLOVIN
We build a custom system inside your team that connects ad platforms with business data, produces recommendations and learns from decisions. It never changes live campaigns.
For marketers, Heads of UA and founders spending at least USD 10,000 per month on paid media. Custom implementation from USD 4,000.
FOUNDER EXPERIENCE
Projects from Stas and Yauhen's professional experience before Adepta — a practical foundation for paid media, analytics and product work.
Meet the foundersTWO PRODUCTS
Automation is the core product for active media-buying teams. Launch 0→1 combines measurement, creative, campaigns and the first automation layer in one engagement.
A custom layer across Google, Meta, TikTok and AppLovin—from campaign creation and automated tests to budget, creative and LTV recommendations.
Analytics and attribution, a website or funnel, creative, paid campaigns and the first automation layer—one team and one scope.
Not sure which format fits? Share your platforms, budget and current media-buying workflow. We will recommend the first useful step.
Discuss the taskHOW THE WORK STARTS
After receiving the materials and access, we quickly show how the solution will work. This is not the whole project in two days; it is a way to check direction before major spend.
See the Full ProcessWe review the product, sales path, advertising and numbers with you.
A page draft, advertising plan, creative concept or automation scenario.
You see a working first version and understand the next steps before the project grows.
ADEPTA / FOUNDER-LED
Ad accounts, data, source code and operating documents remain with the client.
Strategy, advertising & product
Content production & project delivery
START WITH THE DECISION MAP
Share your platforms, data sources and current decision process. We will identify the bottleneck and propose the highest-leverage first system.