The Rippit platform's customizable prompts and AI classifiers allowed us to align sentiment analysis with our specific organizational initiatives while seamlessly matching our existing data formats. Unlike rigid alternative platforms, Rippit's flexibility ensured a smooth integration without data restructuring.

I really like the automations and the AI chat support. They make the experience smoother and more convenient overall.

The Rippit+Claude integration has been a complete game changer for me. Rippit was already way ahead of the curve on AI enriched conversation data, but now I ask Claude a question in plain English and it drives Rippit to pull the data, build a worksheet, tag the conversations, and write up the analysis. That conversational layer over real customer conversations is what sets it apart. It lets me analyze customer conversations at a depth and scale I couldn't reach before. I recently ran a deep dive into why our Casino ticket rate was climbing and it surfaced the real driver, as well as fixes, in an afternoon. The old way, that's a team of three spending a week, and even then you're only reading a small relative sample. With Rippit and Claude I'm enriching thousands of full transcripts to tag root cause and theme, not guessing from a handful. Performance holds up at that scale, which matters. And onboarding was a real differentiator: the Rippit team (shoutout to Robby) has been hands-on and actually shipped on our feedback. The honest ROI is that it's replaced work I'd otherwise need a team of analysts and with sql skills for.