When I started my job at Gousto, I honestly struggled to get my head around how data-driven the company is, with every single team leveraging data in some way. Since joining, we (the analytics team) have undertaken some seriously cool projects across the entire business – a few examples being:
- Building a predictive model to calculate the likelihood of a customer buying their next Gousto recipe box
- Analysing customers’ online behaviour to make the website user experience seamless and as easy to use as possible
- Working closely with Gousto data scientists to optimise the performance of our automated ingredient picking operation
With this in mind, it’s easy for our colleagues to sometimes forget that we don’t have a magical crystal ball to answer their questions. Instead of supernatural powers, we prefer a mixture of SQL and Python and tools like Periscope to solve Gousto’s challenges.
The area of analytics I want to focus on in this blog post is really at the heart of the business and is the main reason I (and probably most of my colleagues) joined Gousto – FOOD. Given the level of investment into data science and analytics elsewhere in the business, it should come as no surprise to learn that we crunch some serious numbers to understand what it is that tickles our customers’ taste buds and keeps them coming back for more. In particular, I will explain how we use data to inform the recipe development process here at Gousto. I’ll then showcase some of our tastiest dishes, before finally revealing some fun facts and interesting stats about our recipe collection.