Turn customer feedback into sales fuel with Conversation Intelligence
Surface real buyer objections and product gaps automatically then turn call data into training assets that actually move revenue
Trusted by the enablement managers at
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When feedback goes stale
Unstructured, anecdotal feedback wastes coaching cycles and blinds teams to what really drives revenue risk.
Feedback buried in call notes
Reps capture feedback manually in scattered notes. There is no consistent source of truth for voice of customer patterns.
No system for tagging insights
Reps label calls inconsistently or skip tagging altogether. Feedback becomes impossible to compare across reps or accounts.
Missed action on feedback
Critical input from buyers about features or pricing goes untracked. Action items fall through without a structured process.
Objections are not analyzed
Teams cannot spot which objections consistently block deals because feedback is not tracked or categorized.
Coaching lacks buyer context
Managers rely on anecdotal notes and guesswork instead of feedback driven patterns. Coaching misses the real issues.
Win loss reviews lack evidence
Teams review outcomes without tying them to consistent buyer feedback. Messaging improvements stay disconnected from real data.
Structured feedback at scale for smarter decisions
Use conversation intelligence to transform messy call data into clean, searchable feedback that drives coaching, messaging, and product bets.
Real-time pipeline analytics
Get full visibility into what buyers actually say. Every call is recorded and transcribed with speaker separation and keyword detection, so you can skip digging through notes and instantly search for objections, pricing concerns, or competitor mentions by keyword or stage.
Real-time pipeline analytics
Use Scorecards to guide reps during calls so they consistently capture key buyer signals like objections, decision criteria, and product requests. You get structured, deal-critical data from every conversation, while reducing guesswork and ensuring nothing important gets missed.
Real-time pipeline analytics
You get smart trackers that automatically flag key feedback themes like pricing pushback, feature requests, or competitor mentions, without relying on reps to tag. You can slice insights by team member, feedback type, deal stage, or outcome. Whether you are reviewing wins or diagnosing losses, it is easy to spot patterns and act fast.
Real-time pipeline analytics
Track and respond instantly when buyers flag critical feedback, like asking for SOC 2, pushing back on pricing, or naming a competitor. Smart alerts surface those moments and sync them to your CRM with follow up prompts, so nothing slips and every signal turns into next steps.
Real-time pipeline analytics
No more generic coaching. Coach based on actual feedback from live deals. Jump straight to moments where reps mishandle objections, miss cues, or misposition value—then use those clips in training to scale what good looks like.
Real-time pipeline analytics
Connect the dots between what buyers say and which deals close. Use real call data to map feedback themes to win rates. Win loss reviews are built on proof, not opinion. Align enablement, messaging, and product updates with what actually works.
The results speak for themselves, so do our customers.
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FAQs
Find answers to common questions about how Avoma helps you analyze customer feedback
Customer feedback analysis is the systematic evaluation of comments, suggestions, and opinions shared by customers about your product or service Avoma's platform automatically captures and categorizes this feedback from calls and meetings, identifying trends around feature requests, pain points, and satisfaction levels This provides product and customer success teams with actionable insights directly from voice-of-customer conversations
Avoma analyzes customer feedback by processing conversation transcripts to identify themes, sentiment, and specific requests The AI categorizes feedback into areas like product features, user experience, pricing, and support quality This systematic analysis helps product and customer success teams understand what customers value most, prioritize improvements based on frequency and impact, and track sentiment changes over time
Yes. Avoma uses Smart Trackers powered by AI semantic matching to identify feedback tied to pricing, competitors, features, and more, even if speakers don’t use exact keywords. It tags sentences based on meaning, not just phrases, so you capture the real voice of the customer with precision.
Absolutely. When reps hear key feedback on a call, Avoma logs it, and suggests the next steps. It can also be synced to your CRM so nothing slips through the cracks.
Yes. Avoma uses AI to review every call, meeting, and email tied to a closed deal, whether won or lost, and pinpoints the core reasons behind the outcome. These insights can be mapped to your CRM to give your team a structured view of what messaging and behaviors drive wins or trigger losses.
Avoma identifies objections using AI analysis of conversation transcripts The system recognizes common objection patterns and categorizes them (pricing, timeline, competition, etc) across all your sales conversations This provides visibility into the most frequent objections your team faces, how top performers handle them successfully, and which objections might be stalling deals, allowing for better training and battlecard development
Yes, Avoma specifically helps with pricing objections by analyzing how they arise across all sales conversations and which responses lead to successful outcomes The platform identifies which value-building techniques effectively justify pricing, which discount approaches work without undermining value, and how top performers navigate pricing discussions This creates a playbook of proven approaches for handling price sensitivity based on actual customer conversations
Avoma provides real-time and post-call AI feedback on talk ratios, filler words, objection handling, and more, helping reps improve with every call.
Avoma lets you build Customizable AI Scorecards based on any framework, such as MEDDIC or SPICED, aligning coaching with your process.
Avoma makes it easy to share voice-of-customer insights across CS, product, and sales teams. This ensures everyone understands the root causes behind churn, not just the symptoms.
What's stopping you from turning every conversation into actionable insights?
