How bridging the gap between qualitative and quantitative data leads to customer loyalty and increased ROI.

Taking the time to find out what your customers are saying about you, not to you, allows you to make smarter, data-driven decisions, and identify trends, problems and opportunities instantly.

By equipping agents with the right feedback analysis tools, companies can set themselves up for success in keeping customers happy—and keeping them from taking their business elsewhere

Case study: CustomerCount’s development team has been working hand-in-hand with Keatext to craft a sophisticated solution that helps its customers leverage rich, unstructured data to make better daily business decisions.

VoE plays a big role in removing biases in the workplace that affect recruiting, promoting and relationships with employees.

With the right tools, negative feedback has the potential to be just as valuable as positive ones. AI data analysis can shine a light on detractors’ motivations and reasoning, giving brands a chance to turn negative reviews into positive outcomes.

Millennials may be harder to connect with than their consumer counterparts of previous generations, but with a little help from text analysis, businesses have an opportunity to connect with an emerging customer base that’s taking up a larger share of the market every day.

Fuelled by AI data analysis and other high-tech tools, retail experiences go well beyond a simple transaction for products and services; they have become immersive experience producers, and there’s no going back.