Ecommerce purchase intention models analyse click-stream consumer behaviour data from web analytics platforms to predict whether a customer will make a purchase during their visit. These online shopping models are...
The XGBoost or Extreme Gradient Boosting algorithm is a decision tree based machine learning algorithm which uses a process called boosting to help improve performance. Since it’s introduction, it’s become...
In the field of HR analytics, data scientists are now using employee data from their human resources department to predict employee churn. The techniques for predicting employee churn are fairly...
RSS feeds have been a mainstay on the web for over 20 years now. These XML-based documents are generated by web servers and designed to be read in RSS feed...
Meta descriptions are strings of text added to the head of an HTML document to describe its content to search engines and search engine users and are of critical importance...
Although I have never really considered myself a technical SEO, I do need to do quite a bit of SEO work as part of my role as an Ecommerce Director....
Internal linking helps improve the user experience by recommending related content to users, which both reduces bounce rate, and helps search engine optimisation efforts. While there are no hard and...
Marketing Mix Models (MMMs) utilise multivariate linear regression to predict sales from marketing costs, and various other parameters. A Marketing Mix Model (also called a Media Mix Model), even at...
EcommerceTools makes it really quick and easy to scrape Google search engine results in Python. In this simple project, we’ll use EcommerceTools to search Google for your chosen keywords, use...
