Sarah Raven Chris Pitt Sarah Raven is an online gardening retailer. We used machine learning to identify where it should spend its limited budget in order to get the quickest and biggest return. What was the problem? The Sarah Raven website was not achieving its full revenue potential, largely due to a lack of traffic. We identified opportunities for boosting both category and product pages, but we were challenged to work with a restrictive budget. There was also an added, immediate complication of there being a warehouse full of dahlia flower bulbs that the company needed to sell quickly.What was our solution? We decided to compare a range of pages to identify those that were statistically most likely to convert. With a huge amount of data available, limited time and restrictive budget, w

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