At DeepM, data is the cornerstone of our insights and strategies. We collect and process vast amounts of data, meticulously analyzing over 10 million data points for each product niche we analyze. Our data collection process includes across both public data sources and internal marketplace data; and both current and historical data. It covers every aspect of today’s marketplaces, delving into category and search result rankings, competitive landscapes, product content and features, ratings and reviews, sales performance, price positions, customer engagement, and more.

Preparing data for actionable insights involves more than just compilation; it requires precision and finesse. At DeepM, we employ proprietary data processing techniques to refine and prepare our data for the machine learning processes that drive our technology. These techniques ensure the data’s accuracy, reliability, and relevance, forming the foundation of our predictive analytics.

Data is not static, and neither is our approach to it. We continuously refine our data collection and processing methodologies, ensuring that our insights and strategies remain at the cutting edge of e-commerce innovation.