User online behavior analysis uncovers valuable insights and bottlenecks. For example, we discover inefficient marketing channels and allocate budget to more efficient ones; boost sales via personalized ads, content, and pricing; improve customer experience thanks to an intuitive interface and easy navigation.
Our top-notch team consists of math, analysis, science, and development professionals leveraging special algorithms to study online user behavior and translate action sequences into vectors. We make insights easy to get by dimension reduction – reducing the number of random variables under consideration. Finally, our team illustrates every step of irregular behavior patterns in matrix and graph forms. Additionally, we use self-learning algorithms and our proprietary product and marketing analytics tools.
Our thorough analysis reveals valuable insights for a company to achieve meaningful outcome: reduce customer churn, optimize advertising budgets, as well as increase conversion, average bill, turnover, and profits.