Stop reacting to problems after they explode. AI predicts churn, deal outcomes, and performance trends weeks in advance so you can intervene early and actually prevent issues.
AI가 지속적으로 추적·예측·알림하므로 데이터에 쫓기지 않고 중요한 일에 집중할 수 있습니다
AI analyzes usage drops, engagement patterns, and support tickets to flag at-risk customers 30-60 days before renewal. Get specific reasons why they're at risk and recommended interventions that work.
Know which deals will close and which will slip weeks before decision time. The system scores every opportunity based on 100+ signals so your forecast is based on data, not rep optimism.
Get alerts when metrics start trending in the wrong direction—while you still have time to fix them. See which factors are changing and get AI recommendations on what to do about it.
명확한 지표가 없으면 일정과 예산이 손실됩니다. 이 지표들을 추적하면 어떻게 앞서갈 수 있는지 확인하세요.
You find out customers are unhappy during the renewal call when it's already too late. Engagement was dropping for months but nobody noticed until the contract was up.
해결 방법:
Churn prediction monitors product usage, support interactions, and engagement velocity daily. Flag at-risk accounts 60-90 days early with specific reasons and proven recovery playbooks.
Reps say they're 80% confident but deals keep slipping. You commit numbers to the board, then miss by 30% because nobody saw the risks until too late.
해결 방법:
AI-powered deal scoring looks beyond rep optimism at real signals: stakeholder engagement, champion strength, budget confirmation, timeline progression. Forecast with actual data, not hope.
By the time dashboards show declining metrics, you've already missed the deadline. The trend started weeks ago but you only noticed when the number turned red.
해결 방법:
Predictive alerts catch negative trends the moment they start, not after they've tanked your metrics. Get early warnings with enough time to actually course-correct.
You track outcomes but have no idea which early signals predict success or failure. What should you watch to know if you're on track or headed for disaster?
해결 방법:
AI discovers which leading indicators actually correlate with your goals. Learn what to monitor daily vs weekly, and get clear thresholds that indicate you're on or off track.
지표를 클릭해 업계 벤치마크, 추적 방식, 해결 과제, 기대 성과를 확인하세요
Trust your numbers again
Create realistic forecasts before you commit to the board
Being blindsided every quarter by missed revenue targets
See problems before they happen
Identify at-risk deals before they slip to next quarter
Deals falling apart at the last minute with no advance warning
Save customers before they leave
Identify at-risk customers before renewal conversations start
Finding out customers churned when it's already too late
Know which deals will actually close
Forecast realistically instead of hoping every deal comes through
Including long-shot deals in forecasts that never materialize
Diagnose pipeline problems early
Identify pipeline gaps before they impact future quarters
Weak pipeline sneaking up on you with no time to recover
Prioritize the deals that matter
Focus team effort on opportunities most likely to close big
Spreading resources thin across deals with vastly different potential
Anticipate what customers will do next
Predict customer actions before they make critical decisions
Reacting to customer behavior instead of proactively guiding it
Quantify potential losses
Calculate exact revenue exposure before renewals come due
Not knowing how much revenue could disappear until it's gone
Spot changes before they matter
Track engagement momentum before customers drift away
Missing gradual declines in engagement until it's too late
Know exactly what to do next
Get AI-powered recommendations for each customer interaction
Guessing what action will move deals forward most effectively
12개 중 10개 표시
Everything you need to know about tracking forecasting & intelligence metrics.
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