Marketing is the business of understanding marketplace competitors as well as defining, positioning, and promoting products to target customers. Marketers are tasked with developing the strategy to boost sales and revenue, and one of the ways they can do this is through customer base analysis.

Today we’re speaking with Jan Valendin. 

Our conversation explores how he and his colleagues have used recurrent neural networks to innovate the process of customer base analysis.

Topics include:

• How their deep learning model leverages observed behavior and auto feature extraction to predict future behavior.
• Why having a large starting data set and at least a thousand customers is necessary to take advantage of the promise of this approach.
• How using this approach can help marketers ranging from charities to streaming entertainment providers proactively manage their customer base.