A simple and affordable way to listen, understand, and react to customer feedback.
There's a better way to monitor customer feedback
Now, more than ever, staying in touch with customer needs is critical to reducing churn and sustaining growth.
In the U.S. alone, companies spend $20B annually on market research to stay on top of customer needs. But traditional surveys are slow, expensive, and don't provide insights fast enough for SaaS companies to respond.
Customers tell us what they need in daily interactions, in places like online reviews and support tickets, but volume goes beyond human ability to analyze. Natural Language Processing helps, but requires heavy resources to build.
Manual processes for aggregating and analyzing customer feedback delays our ability to find the common problems, and shift company strategy to address them. By the time we get the data we need, it's too late.
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