Analysis of Web Data
Web Analytics has been a central part of many companies’ online strategies for many years.
Web Analytics describes the evaluation and use of customer data collected online and information to optimize customer relationships, products and services.
Recommendation engines
Analysis of shopping baskets to generate product recommendations and activation of upselling potential.
Click-Through Prediction
Creation of machine learning models for forecasting click rates in search engines and paid advertising.
Attribution models
Modeling customer data to optimize spending at channel and publisher level.
Conversion forecasts
Modeling factors influencing conversions and customer-specific conversion predictions.
Next Best Product
Calculate which products and services customers are likely to buy next.
Forecasting models
Use our models to forecast sales, page views and other KPIs in the web analytics area.
Data Science in Web Analysis
The good availability of data generated online creates exciting data science applications for web analytics.
All data you collect can help you better understand your customers, better address them and use statistics and machine learning to make predictions about their future behavior.
Our data scientists support you in the development of use cases and projects in the web analytics environment, consolidate and aggregate internal and external data sources for you and develop models from statistics and machine learning for the optimization of your online shops, services and products.
- Online upselling forecast
- Built-in statistics collection