CloudAscent is an engine powered by AI, machine learning, and customer intelligence that takes internal and external Microsoft data to deliver customer targeting and insights for the SMB audience. CloudAscent collects billions of customer signals by pinging company domains and monitoring blog posts, press releases, social streams, and technical forums. Additionally, firmographics information is collected from both internal and external sources, including external technology profiles, Microsoft internal subscriptions, and transactional data.
The data collected is fed into a machine learning model that generates a structured data set of sales and marketing predictions for each customer by cluster and appending cohort/solution play.
Each customer is scored using a lookalike model to determine the customer's fit, as well as ML algorithms that integrate the customer's online behavior defined by buying signals. The scoring is merged into clusters that show a customer's propensity to purchase Microsoft cloud products.
Potential customers and growth customers are identified using the high propensity Act Now and Evaluate clusters. Marketing materials associated to the primary cohorts are available to drive engagement and close more deals.