Gainsight Increases Renewal and Up-Sell
Gainsight Increases Renewal and Up-Sell : Gainsight centralizes customer vital signs, leverages predictive analytics to score customer health and drives customer retention workflow and automation across all departments in the enterprise. Gainsight enables businesses to proactively manage retention, reduce unexpected churn and identify up-sell opportunities by leveraging Big Data analytics across sales data, usage logs, support tickets, surveys and other sources of customer intelligence. Designed to make Customer Success Management an integral part of how the entire enterprise operates, Gainsight delivers a complete 360° view into the health and engagement of an organization’s customer base.
Gainsight, Customer Success Management solution, helps businesses reduce churn, increase up-sell and drive customer success. The company’s SaaS suite integrates with Salesforce and uses Big Data analytics to evaluate sales data, usage logs, support tickets, surveys and other sources of customer intelligence. Gainsight provides a 360° view of customers and drives retention across customer success, sales, marketing, executive and product management.
“Companies today are going through a big transition—business models are changing. A vendor’s success depends on a customer’s success, and we need to start using the great best practices and Big Data technology that is applied to customer acquisition to the area of customer retention,” said Nick Mehta, CEO of Gainsight. “Companies have a huge digital breadcrumb trail of customer data but it’s siloed across systems and departments and not well-leveraged. Gainsight is solving this problem by analyzing customer vital signs to reduce churn, increase up-sell and maximize customer success.”
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.