Case Study: Whop scales customer trust and deflects support tickets with Decagon AI

A Decagon Case Study

Preview of the Whop Case Study

How Whop scales customer trust and product innovation with Decagon

Whop, a social commerce platform, was facing the challenge of scaling its customer support to handle 5,000-10,000 weekly tickets without continuously increasing headcount. Their outdated tools and repetitive queries were creating a support experience that lagged behind their rapid growth and the high-trust relationship they needed with their users.

By implementing Decagon's agentic AI chat solution, Whop achieved a 65-70% ticket deflection rate. The AI provided personalized, instant answers, freeing the support team to focus on complex issues. Furthermore, Decagon transformed support data into product intelligence, leading to a 50% reduction in payment-related tickets and faster bug resolution, ultimately driving strategic product improvements across the company.


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Whop

Madeline Cohen

Head of Consumer Trust


Decagon

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