Analyze Conversation Data.

Worksheets frees quality from drudgery. 60 hours of audit work became minutes.”

If we act on just two percent of missed sales opportunities, that’s roughly $1.75 million in recovered revenue.”

We can categorize reasons for churn risk and pinpoint what’s actually driving it before it shows up in renewal conversations.”

Conversation data has become a strategic asset for us. We can see which behaviors actually lead to higher close rates.”

Generative models can hallucinate and in a regulated industry, that’s a serious risk.”

Obviously customer conversations are our biggest data set. We want to leverage and extract everything that we can from it."

Now we can quickly see how well a new product launch is going and the why behind where things are going well or where there's opportunity for improvement.”

We analyzed 3,000 tickets in fifteen minutes and surfaced risk patterns we would have otherwise missed.”

We’re using real customer conversations to pressure-test product positioning and market fit, instead of relying on assumptions or small samples.”

Rippit manages the ETL and transcription process, which would be a big project to do internally with Snowflake.”