AI-powered conversation intelligence for sales forecast accuracy

Get sales forecasts you can actually trust

Stop second-guessing your pipeline Avoma analyzes sales conversations to uncover real buyer intent, helping you make accurate, data-driven forecasts

sales forecast accuracy

Why your sales forecasts keep failing

Guesswork doesn’t cut it If you’re relying on rep-reported data and gut instincts, you’re setting yourself up for missed targets and revenue loss

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Inaccurate pipeline data

Reps overestimate deal confidence leaving you with inflated projections that don't match reality

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Lack of buyer intent insights

Forecasts fail when they don't account for actual buyer engagement and signals from conversations

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Time-consuming manual tracking

Manually tracking and verifying sales conversations is slow error-prone and inefficient

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No visibility into deal risks

Without real-time analysis sales managers struggle to spot and mitigate deal risks early

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Subjective forecasting decisions

Relying on gut feelings rather than data-driven insights leads to unpredictable revenue outcomes

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Disconnected sales and forecasting tools

Siloed CRM data and scattered call notes make it hard to connect real conversations with forecast accuracy

Data-driven forecasting with conversation intelligence

See what’s really happening in your pipeline—Avoma turns sales conversations into actionable forecast insights

Real-time deal health scoring

Real-time pipeline analytics

AI analyzes sales conversations to highlight engaged buyers and at-risk deals

Real-time deal health scoring
Real-time deal health scoring
AI-powered intent tracking

Real-time pipeline analytics

Understand buyer intent with automated sentiment analysis and keyword tracking in sales calls

AI-powered intent tracking
AI-powered intent tracking
Risk detection alerts

Real-time pipeline analytics

Spot early signs of disengagement with AI-powered insights

Risk detection alerts
Risk detection alerts
AI-driven forecast recommendations

Real-time pipeline analytics

Move beyond guesswork—Avoma suggests probability-based adjustments for more precise forecasting

AI-driven forecast recommendations
AI-driven forecast recommendations
Seamless CRM integration

Real-time pipeline analytics

Connect Avoma with Salesforce

Seamless CRM integration
Seamless CRM integration

The results speak for themselves, so do our customers.

FAQs

Here are the most common questions sales leaders ask about Avoma’s impact on sales forecast accuracy

How does Avoma improve sales forecast accuracy?

Avoma improves sales forecast accuracy by analyzing actual conversation data rather than relying solely on rep input The platform identifies deal risks through sentiment analysis, objection tracking, and stakeholder engagement metrics By providing objective data on deal health and highlighting potential issues early, Avoma helps sales leaders make more informed forecasting decisions based on real customer interactions and engagement patterns

Does Avoma integrate with CRMs?

Yes, Avoma integrates seamlessly with major CRM platforms including Salesforce, HubSpot, Pipedrive, and others The integration synchronizes meeting data, conversation insights, and follow-up tasks directly to your CRM records, ensuring complete visibility without manual data entry This two-way integration ensures your team can access Avoma insights from within your CRM and maintains consistent data across systems

Can Avoma detect deal risks?

Yes, Avoma detects deal risks through comprehensive conversation analysis The platform identifies warning signs like negative sentiment, unaddressed objections, lack of stakeholder engagement, or timeline concerns These risk indicators are flagged early in the sales process, giving reps and managers time to develop mitigation strategies, address specific issues, and improve the likelihood of successful deal outcomes

How accurate are Avoma's AI-driven forecasts?

Avoma's AI-driven forecasts typically improve standard forecasting accuracy by 15-25% by incorporating objective conversation data rather than relying solely on subjective rep assessments The accuracy increases over time as the system learns your specific business patterns, customer signals, and deal progression indicators Most customers find the AI forecasting particularly valuable for identifying potential slippage that human forecasters might miss due to optimism bias

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