How to use the Mailchimp Marketing Python API with Pandas

In ecommerce, email marketing remains one of the most effective (and cost-effective) digital marketing techniques, especially when combined with data science techniques. The vast amounts of customer data generated in...

How to use the eBay Finding API with Python

The eBay Finding API gives you direct access to eBay search listings using a simple SDK. This API lets you search or query eBay to fetch specific search listings for...

How to export Zendesk tickets into Pandas using Zenpy

The Zendesk customer service platform is widely used by ecommerce businesses, but its functionality for analysing ticket trends and automatically classifying them is somewhat limited. In many cases, you might...

How to query the Google Search Console API with EcommerceTools

The Google Search Console (GSC) API is a great source of information for those working in SEO, marketing, or ecommerce. It can tell you which of your pages are appearing...

How to read Google Sheets data in Pandas with GSpread

GSpread is a Python package that makes it quick and easy to read and write data from Google Sheets spreadsheets stored in your Google Drive into Python. With a tiny...

How to calculate the Lin Rodnitzky Ratio using GAPandas

The Lin Rodnitzky Ratio is a calculation designed to help search engine marketers assess the management of paid search campaigns and account structure. When managing paid search advertising accounts you...

How to analyse product replenishment

Subscription commerce was all the rage for a while, but it’s not really become as popular as many in ecommerce perhaps envisaged. While we may have subscriptions for certain things,...

Data science courses for budding data scientists and data engineers

If you want to change careers and move into the data science or data mining field, as either a data scientist or a data engineer, or simply improve your skills,...

A quick guide to customer segmentation for data scientists

Customer segmentation is the process of using data science techniques to create discrete groups of customers which share common characteristics or attributes. For example, a company might segment customers into...