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Case Study: How Audibel reduced abandonment rates by 44% with PolyAI

Audibel Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Audibel
Industry
Healthcare
Challenge
Long hold times and high call abandonment across a large hearing-care clinic network
Headline result
Audibel cut call abandonment from 46% to 2% and reduced wait times 87% with PolyAI

Key results

44%
Reduction in call abandonment
From 46% to 2%
87%
Reduction in call wait times
88%
Reduction in spam calls

The challenge

Audibel, a hearing-care provider, faced call abandonment rates in the 43-46% range and wait times of 10-15 minutes across roughly 400 clinics handling about 2,000 calls a day. Long holds risked deterring patients at an emotionally sensitive moment.

The solution

Audibel deployed a PolyAI voice assistant to answer inbound calls, book appointments, and screen out spam. The agent handles calls with natural, adaptive voices designed to sound like the company's own staff.

PolyAI rose to the top because of how authentic their voices sounded and how adaptive the technology was. It didn't sound robotic — it sounded like one of our own agents.

DW
Dan Weinberger
Director of Global Marketing, Audibel

The results, in context

Audibel reported that call abandonment dropped from 46% to just 2%, a 44% reduction, while call wait times fell 87% and spam calls dropped 88%. The company described the voices as authentic rather than robotic.

Products used

PolyAI PolyAI Voice Assistant