Run advanced analytics and GenAI on millions of customer interactions across multiple platforms to get real-time insights, intelligent segments, and early alerts to take proactive steps across all customer touchpoints.
Analyze free-flowing text from surveys, calls, tickets, and social media channels to understand not only the what and how but also the why of customer behavior.
Pinpoint which product features and service improvements have the highest impact on customer loyalty and satisfaction with regression models and NPS analysis.
Address sentiment shifts and downturns in NPS across all touchpoints through instant alerts coupled with GenAI-powered key insights and strategic actions.
Customers describe the same issue using different terms. Sometimes, seemingly positive comments can carry underlying concerns. Stop relying on basic keyword analysis to understand what customers say and feel.
Customer feedback is across multiple channels and touchpoints, but manually finding which interactions drive satisfaction up or down is time-consuming and resource-intensive.
Overall NPS is dropping, but is it because of a new product rollout or that billing system update? Without AI-driven analytics, it’s back to guessing which changes cost you promoters.
You’re spending hours manually aggregating numerical scores and response volumes across touchpoints. Without automated time series analysis, catching subtle changes in ratings is not easy.
Tired of waiting days for analysts to analyze the NPS data when you need answers to really specific questions? Most marketing teams have accepted this, but you don't have to.