Exito - Know WHY users drop off, not just where

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Your analytics shows WHERE users leave. Exito shows WHY. One script tag tracks rage clicks, scroll loops and exit intent. When users leave, a popup captures why. Claude AI cross-references behaviour vs feedback and generates a drop-off reason with confidence score. Every Monday, PM and sales get the same report automatically. The loop finally closes. Demo: getexito.com/demo

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"Claude AI cross-references behaviour vs feedback" — this is doing a lot of work in that sentence. What exactly does the confidence score mean? If Claude is 40% confident users leave because of pricing, is that surfaced as "maybe pricing" or does it stay quiet until it's more certain?

Hi , it’s really good question and you’re right that cross reference is doing lot of heavy lifting, let me be specific. Claude receives 2 inputs: one behavioral signals-rage clicks on pricing toggles , 3 exit intent in 30 seconds, scroll loops on pricing section. Exit feedback - user selected too expensive or types couldn’t figure out what plan. Claude lookes for agreement or disagreement between 2 signal, If a behavior and feedback both points to pricing high confidence 80 to 90% If a behavior shows rage click but feedback says price low confidence 40 to 50% that signals disagree. On your specific question about 40% confidence yes it’s surface maybe. The dashboard shows the confidence score visibly and the AI words it users may be experiencing price confusion not user definitely leaving because of price. The honest answer is 40% confidence means data not conclusive yet. You need more sessions before acting on it. That’s is intentional. I would rather Exito say not enough signal yet that confidently give you wrong answers to act on. Does that make the confidence scoring clearer? Let me know your thoughts on this.