Data science for marketers: Part 3 - Predictive vs prescriptive analytics How much would you like to know what your customers are up to and what kind of nudge they need to convert? [...]
In this series, we previously talked about the essential steps you should take before starting your big data analytics programme – see part 1: decide on your end game and start the data consolidation process. [...]
Data science for marketers: Part 1 - Getting your data ready Clearly, big data is not a fad. It’s a competitive advantage most marketers recognise as a potent solution to some of their most pressing [...]
How to build a buyer intent model with keyword classification To understand the performance of a website and identify areas ripe for improvement, we created a model based on intent, called the Buyer Intent [...]
Four ways data visualisation can help marketers Our brains are wired to process visuals more efficiently and at a faster pace than text. Data visualisation helps us make sense of difficult concepts and [...]
Nulla sit amet nunc massa. Praesent sed est pellentesque, varius tellus non, efficitur nisi. Sed sit amet purus in odio varius tincidunt. Mauris ut ante lobortis, elementum orci efficitur, bibendum leo.
As consumer behaviours change, we need to find new ways to influence their purchase decisions. Leveraging big data is one way to do that. But what happens when the data is too big to handle? Call [...]
