Predictive Marketing 

There are many examples of machine learning in SAAS marketing. One of the most common use cases is identifying and acquiring prospects with attributes similar to existing customers. ML-based predictive analytics can also prioritize known prospects, leads, and accounts based on their likelihood to take action.

Simporter have been using predictive lead-scoring algorithms based on intricate data sets to radically improve their lead conversion rates. Machine learning predictive analytics creates a 360-degree view of the prospective customer by combining historical data points of customer behavior with market trends. Using predictive algorithms has helped companies achieve higher targets and streamlined their sales and marketing activities into a data-based undertaking instead of simply taking a shot in the dark.