Top HPE Vertica Use Cases for Customer Behavior Analytics:
Analyzing clickstream data provides rich insights into which pages are effective and which pages site visitors ignore, enabling team to make targeted changes for improved user experience. When combined with sales and conversion data, clickstream analysis can help you discover the most effective series of steps to encourage conversions, sales, and add-on purchases.
The rise of activity on social media channels such as Twitter and Facebook is creating massive volumes of semi-structured, user- generated data. Analyzing these new forms of data enables companies to glean insights on how customers, prospects, and others are discussing and engaging with their products through online and brick-and-mortar channels.
Customer Churn Predictive Analytics
By combining various sources of customer data and interactions with Vertica’s built-in Machine Learning algorithms, companies can better understand, identify, and predict the early signals of customer churn and take proactive measures to increase customer retention and lifetime value.