Our network of performance marketing agencies as well as adtech providers has access to billions of data points in the ecommerce industry - in realtime.

We monitor an online marketing adspend of more than 5,000,000,000 USD on Google, Facebook/insta, Microsoft Ads and Tiktok generating over 30,000,000,000 USD in online sales.

Since mid-2024, we’ve been building proprietary data models designed to scale with billions of real-time signals. Traditional rule-based systems simply can’t keep up — extracting meaningful insights from such massive, high-velocity data streams requires a deeply integrated, AI-driven architecture. Our advanced models leverage cutting-edge machine learning techniques to detect patterns, adapt dynamically, and deliver actionable intelligence at scale.

Our core objective is to empower agencies with data-driven clarity: identifying the optimal ad format, on the right platform, under the right conditions, at precisely the right time — for each individual client. By analyzing historical performance, real-time context, audience signals, and platform dynamics, our AI models continuously learn and adapt to maximize relevance and ROI. It’s not about guesswork — it’s about precision at scale, powered by intelligence that evolves with every impression - based on real data, analyzed by AI.

Our aim is to precisely model which e-commerce business cases will perform best in specific countries — including expected revenues, costs, profit margins, and associated risk levels. Our AI continuously integrates macro trends, regional dynamics, consumer behavior, and shifting market conditions to deliver highly granular forecasts. This allows for informed, data-backed decisions with a clear understanding of potential upside, downside, and timing — turning strategic planning into a quantifiable, low-friction process.