Businesses often struggle to make sense of large volumes of customer feedback from sources like surveys, reviews, and support tickets, which can lead to missed opportunities and customer churn. Keatext addresses this by using AI-based text analytics to unify and analyze all this text data in one platform. It helps identify key issues, drivers of satisfaction, and blind spots in the customer journey, providing actionable recommendations to improve experiences and drive revenue. The tool automates much of the analysis, saving time—for example, reducing hours of review reading to minutes. It's particularly useful for teams in marketing, customer experience, and HR, but it's focused on customer and employee feedback, so it might not suit general text analysis needs. With features like data enrichment and integrations, it supports data-driven decisions, though setting up integrations could require some effort.