Sales call analysis made easy
Sales call analysis with full conversation intelligence
Capture deal-critical moments, coach with context, and improve pipeline accuracy with AI-driven conversation intelligence built for every stage of the sales process.
Trusted by high-performing sales teams
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What breaks in sales call analysis
Without structured analysis of conversations, pipeline data gets messy, coaching lacks impact, and revenue teams fly blind.
Incomplete or inaccurate CRM data
Manual note taking is inconsistent, and reps often forget or skip updates. This creates a CRM filled with partial truths that erode forecast accuracy and hinder deal inspection.
Coaching that’s disconnected from GTM goals
Without insight into what top performers are doing differently, coaching tends to focus on surface-level talk tracks instead of reinforcing the core strategy.
Follow-ups get missed and so do deals
Things fall through the cracks when notes, action items, and stakeholders are scattered across tools.
Risk indicators often go unnoticed
Deals silently stall when next steps aren’t confirmed, key stakeholders are missing, or buyer engagement drops and managers aren’t alerted until it’s too late to recover.
Slow ramp for new reps
New reps rely on tribal knowledge or live shadowing when there is no call library to learn from. Ramp time stretches, and early opportunities are lost.
Valuable buyer insights stay siloed
Insights about product gaps, competitor mentions, or buyer preferences rarely reach other teams. Missed context slows messaging and product decisions.
Analyze sales calls better with conversation intelligence
Turn every sales call into pipeline-driving data. Capture buyer intent, rep behavior, and next steps to improve visibility, forecast accuracy, and coaching impact.
Real-time pipeline analytics
Every call is transcribed, summarized, and synced into CRM automatically. This removes manual effort, improves data consistency, and ensures deal stages and activity logs are grounded in real buyer conversations.
Real-time pipeline analytics
Managers can access searchable call libraries, tagged snippets, and rep benchmarks. They coach with context, track performance over time, and replicate winning behaviors across the team.
Real-time pipeline analytics
AI identifies next steps and commitments during the call, then syncs them into tasks or notes. Reps stay accountable and managers have visibility into post-call execution.
Real-time pipeline analytics
Surface risk early by combining sales call analysis with signals from emails, CRM updates, and conversation history. A GPT based model scores deal health using sentiment, objections, silence patterns, and engagement gaps ,alerting managers when deals show signs of going cold or stalling.
Real-time pipeline analytics
New reps can listen to call playlists filtered by stage, persona, or product. They learn from top performers and adopt effective messaging faster.
Real-time pipeline analytics
Turn key moments from sales calls into shareable snippets and playlists, then send them to product, marketing, or customer success. This ensures frontline feedback reaches the teams who shape messaging, roadmap, and onboarding, straight from the voice of the customer.
Real-time pipeline analytics
Analyze buyer sentiment from each recorded call to understand how prospects reacted in real time. Use those cues to personalize follow ups, revisit objections, or adjust positioning based on how the conversation actually landed.
The results speak for themselves, so do our customers.
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FAQs
Everything you need to know about Avoma’s conversation intelligence for sales call analysis
Avoma can analyze any type of meeting, whether internal or external. This includes sales calls like discovery, demos, and renewals, but also hiring interviews, product feedback sessions, customer onboarding, internal syncs, team standups, and cross functional meetings. Whether the goal is revenue, collaboration, hiring, or product planning, Avoma captures the full context of the conversation and turns it into structured, searchable insights.
It adds real context to deal stages. Managers can listen to key moments, verify buyer engagement, and understand risks directly from call insights. This leads to more accurate pipeline health checks and better informed forecast discussions.
By reviewing real conversations, managers can identify specific behaviors that impact outcomes. These include missed discovery questions, unclear messaging, or poor follow up. Sales call analysis highlights these gaps so reps can improve with focused coaching rather than trial and error.
Avoma analyzes sales calls through multi-layered AI processing of conversation recordings The system examines talk patterns, question types, topic coverage, stakeholder engagement, sentiment trends, and objection handling This analysis generates actionable insights about what's working in your sales process, where improvements can be made, and how individual reps can adjust their approach for better outcomes
Absolutely. Product teams can hear how customers describe feature gaps or pain points. Marketing teams can gather messaging feedback straight from buyers. Customer success can hear about implementation needs or onboarding friction. Avoma helps all teams stay aligned with the voice of the customer.
Basic call recording only saves audio. Conversation intelligence takes it further by transcribing the call, identifying themes, flagging deal risks, summarizing the next steps, and pushing all that information into CRM. It turns raw calls into structured, actionable data.
Yes. Avoma enables you to to tag and curate real call snippets aligned to your strategic messaging. Enablement can build playlists by persona, competitor, or objections, so every rep learns how top performers position the product at each stage.
Yes. Avoma lets you set granular access controls so team members only see the meetings, notes, and insights relevant to them. Managers can view team-wide data, and Admins can manage users, integrations, and global settings.
What's stopping you from turning every conversation into actionable insights?
