Reducing churn
Are customer conversations slipping through the cracks?
Unlock customer insights with conversation intelligence to prevent churn, improve engagement, and drive retention—without spending hours analyzing calls
Trusted by leading customer success teams
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Why customers churn
Identify risks early, retain more customers
Silent churn
Customers disengage silently and you only realize when they leave Catch early warning signs before it's too late
Missed renewal opportunities
Without structured follow-ups renewals slip through the cracks leading to preventable churn
Unaddressed concerns
Unresolved issues frustrate customers making them more likely to churn when competitors offer a better experience
Low product adoption
Customers who don't fully understand your product are more likely to churn due to underutilization
Lack of proactive engagement
Reactive support isn't enough—customer success teams need insights to engage proactively
Reduce churn with Avoma
Turn every conversation into retention opportunities
Real-time pipeline analytics
Track engagement signals and uncover at-risk accounts based on conversation insights
Real-time pipeline analytics
Get alerts for upcoming renewals and automate follow-ups to secure retention
Real-time pipeline analytics
Identify recurring concerns from calls and emails to address them proactively
Real-time pipeline analytics
Analyze customer conversations to understand friction points and boost adoption
Real-time pipeline analytics
Streamline CS tasks to boost efficiency and scalability
Real-time pipeline analytics
Leverage AI-driven sentiment tracking to predict churn risk and take action early
The results speak for themselves, so do our customers.
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How does Avoma help reduce churn?
Avoma provides AI-driven conversation insights, renewal tracking, and sentiment analysis to help CSMs proactively engage at-risk accounts
Yes. We're SOC 2 Type I| compliant and encrypt data at rest and in transit.
Sentiment analysis in Avoma works by using natural language processing to evaluate the emotional tone of conversations The AI identifies positive language (excitement, agreement, satisfaction), negative indicators (frustration, hesitation, concerns), and changes in sentiment throughout calls This helps teams understand how customers truly feel about their product, service, or specific features, beyond what they might explicitly state
Avoma delivers value across industries, but particularly benefits those with complex sales cycles, relationship-based business models, and recurring revenue streams SaaS companies, professional services firms, financial services organizations, healthcare technology providers, and B2B service companies typically see the strongest ROI Any business where conversation quality directly impacts revenue performance and customer relationships will find significant value in conversation intelligence
What's stopping you from turning every conversation into actionable insights?
