Track deal health in real time, flag risks early, and forecast with confidence without chasing down updates using revenue intelligence.
Missed revenue targets often come from blind spots in deal health and pipeline activity. Here’s what stalls sales progress.
Slipping pipeline accuracy
Outdated or inflated deal stages make revenue projections unreliable, leading to missed targets and surprise shortfalls.
Unseen churn risks
Deals showing early signs of disengagement drop out late in the quarter, shrinking booked revenue unexpectedly.
Stalled deal momentum
Missed follow-ups or unclear next steps slow buying decisions, delaying revenue recognition.
Inconsistent sales execution
Skipping critical qualification steps causes low conversion rates, reducing closed-won revenue.
Ignored buying signals
Overlooked budget or timeline mentions lead to lost opportunities and lower deal values.
Over-optimistic forecasting
Gut-feel projections inflate expected revenue, resulting in end-of-quarter gaps.
Deal intelligence removes the guesswork, showing exactly where deals stand, which are at risk, and how to hit quota with precision.
Automate CRM updates from every meeting, email, and call so forecasts always reflect the real stage and value of active deals. Commit with confidence, reduce forecast variance, and avoid end-of-quarter surprises.
Use AI to scan engagement patterns, meeting frequency, and conversation sentiment to identify at-risk deals before they slip away. Step in quickly to re-engage buyers and recover bookings.
Get instant answers to questions like “Which high-value deals lack a next meeting?” so action items never fall through. Maintain momentum, close faster, and bring revenue forward.
Track rep adherence to sales methodologies like MEDDIC or SPICED, ensuring deals are qualified and advanced the right way. Close more opportunities and increase booked revenue.
Capture every buying signal from budget mentions to cross-sell cues and act on them immediately. Maximize upsells, boost deal value, and expand account revenue.
Use real-time forecasting dashboards that blend historical performance, deal health, and activity data. Prevent revenue gaps and stay on target every quarter.
Answers to common questions about how Avoma applies deal intelligence to track pipeline health, spot risks, and improve forecasts.
Accuracy depends on your CRM hygiene, integration setup, and configuration. In most cases, teams achieve around 90% accuracy, transforming the reliability of forecasts compared to relying on gut feel or rep updates alone.
Yes. The deal intelligence dashboard highlights at-risk deals and shows exactly why they’re flagged, whether due to missing information, low buyer engagement, process misalignment, and several other factors.
Not at all. Once integrated, Avoma automates data capture from calls, emails, and CRM updates, reducing manual admin work and keeping deal intelligence current without extra effort.
Yes, but with deeper conversational context. Like Salesforce Einstein, Avoma uses AI to assess deal health and risk, but it adds a layer of conversation intelligence by analyzing every meeting and email tied to the deal.
Avoma analyzes both conversation and email data to surface risk signals like stalled communications, negative sentiment, or uncertainty about key deal details (e.g., seat count) late in the sales cycle.
Yes. Avoma allows full customization of templates, AI scorecards, and methodology trackers. Everything is driven by custom prompts, so whether you follow MEDDIC, SPICED, or a proprietary sales process, deal health scoring and insights can be tailored precisely to your team’s workflow.