Multilingual analysis
We speak the same languages as your customers, so you can process feedback in over 20 languages.
Repustate helps you listen to and analyze customer feedback across all channels so you can improve your products and services and delight your customers.
Book a 15-minute demoGet the insights you need to improve customer engagement, satisfaction and experience
Repustate identifies which parts of your customer experience are working well and which can be improved by using sentiment analysis to classifying customer feedback into one of many categories including:
We speak the same languages as your customers, so you can process feedback in over 20 languages.
Quickly create sentiment analysis rules that are specific to your industry and unique business use cases.
Easily identify and address products and services that need improvement
Your customers each have individual needs that are unique and complex – and it's easier than ever for them to leave you in favor of your competition if things aren't up to standard.
Repustate lets you collect valuable customer sentiment data from reviews, surveys, and social media comments – so you can decrease customer churn and deliver a better customer experience.
Explore a Live DemoRepustate's fast, accurate analytics let you take your sentiment analysis to the next level – no matter which industry you're in, or which languages your customers speak.
Dig deep into your customer satisfaction levels across text, video, audio, and online media platforms to give you clarity about what's working, and what needs improving in your organization.
Start your trial todayRepustate developed a customized Arabic aspect-based sentiment model to capture and analyze the voice of the customer (VoC) so it could deliver a better customer experience. Areas needing improvement were quickly identified and acted upon.
READ FULL STORYRepustate developed a customized, semantic, aspect-based sentiment solution for Pena Global and the American Association of Retired Persons (AARP), which seamlessly analysed Twitter and survey data from across the United States.
READ FULL STORY