How far in advance can you predict customer churn?

The system typically predicts churn 30-90 days before renewal, depending on your contract length and how early behavioral signals appear. For annual contracts, we often see churn risk signals 60+ days out. For monthly subscriptions, predictions become accurate 30-45 days before cancellation. The earlier you catch risk, the more time you have for successful intervention.

What data signals does the AI use for predictions?

The AI analyzes hundreds of signals across product usage (login frequency, feature adoption, usage depth), engagement (email opens, meeting attendance, support tickets), sentiment (NPS scores, support satisfaction), stakeholder changes (champion departures, org changes), and contract factors (pricing, payment history, expansion history). The model weighs these differently for your business based on what actually correlates with outcomes.

Can I see why the AI made a specific prediction?

Absolutely. Every prediction includes an explainability report showing which factors contributed most to the score. For churn predictions, you'll see exactly which usage drops, engagement declines, or risk factors triggered the alert. For deal forecasts, you'll see which signals indicate strength vs concern. No black box—you understand the reasoning behind every prediction.

How accurate are the predictions in the first few months?

Initial predictions leverage pre-trained models and industry benchmarks, typically achieving 70-75% accuracy from day one. As the AI learns your specific patterns over 2-3 months, accuracy improves to 85-92%. The more historical data you have, the faster accuracy improves. The system also provides confidence scores so you know when to trust predictions most.

What should I do when I receive a churn or risk alert?

Each alert includes recommended interventions based on what's worked for similar accounts in your business and across our network. For churn risk, recommendations might include executive check-ins, usage training, feature enablement, or pricing discussions. For deal risk, suggestions cover stakeholder engagement, competitive positioning, or timeline acceleration. You also get playbook templates that your team can execute immediately.

Can I adjust prediction sensitivity or create custom predictive models?

Yes, you control sensitivity for each prediction type. Set aggressive alerts to catch every possible risk (higher false positives but never miss an issue) or tune for precision (only high-confidence alerts). Enterprise customers can work with our data science team to build fully custom models for unique prediction needs specific to your business or industry.

ElasticFlow

Site principal Connexion S'inscrire

Mis à jour le 15 janvier 2026

Know What's Coming Before It Happens

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.

Churn predictionOutcome forecastingRisk detection

Explorer ce que vous pouvez suivre

Comment notre plateforme vous aide

Transformez les métriques en actions concrètes

Notre IA suit, prédit et vous alerte en continu pour que vous puissiez vous concentrer sur l'essentiel au lieu de courir après les données

Predict which customers will churn

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.

Forecast deal outcomes with confidence

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.

Spot trends before they become problems

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.

Défis courants

Risques d'attrition et défis de rétention

Sans métriques claires, ces problèmes vous coûtent du temps et du budget. Voici comment le suivi de ces métriques vous aide à garder une longueur d'avance.

Customers churn without warning

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.

Comment nous résolvons cela :

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.

Forecasts are always wrong

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.

Comment nous résolvons cela :

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.

React to problems too late

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.

Comment nous résolvons cela :

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.

Can't identify leading indicators

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?

Comment nous résolvons cela :

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.

12 métriques que vous pouvez suivre

Cliquez sur une métrique pour voir les benchmarks de l'industrie, comment nous la suivons, quels défis elle résout et ce que vous accomplirez

Forecast Accuracy

Trust your numbers again

Create realistic forecasts before you commit to the board

Being blindsided every quarter by missed revenue targets

Present confident forecasts this month

Risk Prediction Score

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 deals before quarter end

Churn Probability Index

Save customers before they leave

Identify at-risk customers before renewal conversations start

Finding out customers churned when it's already too late

Prevent churn before next renewal cycle

Deal Close Likelihood

Know which deals will actually close

Forecast realistically instead of hoping every deal comes through

Including long-shot deals in forecasts that never materialize

Accurate forecasts this quarter

Pipeline Health Score

Diagnose pipeline problems early

Identify pipeline gaps before they impact future quarters

Weak pipeline sneaking up on you with no time to recover

Build pipeline before it's too late

Opportunity Scoring

Prioritize the deals that matter

Focus team effort on opportunities most likely to close big

Spreading resources thin across deals with vastly different potential

Optimize resource allocation now

Customer Behavior Prediction

Anticipate what customers will do next

Predict customer actions before they make critical decisions

Reacting to customer behavior instead of proactively guiding it

Guide customers proactively today

Revenue at Risk

Quantify potential losses

Calculate exact revenue exposure before renewals come due

Not knowing how much revenue could disappear until it's gone

Protect revenue before renewal season

Engagement Trend Analysis

Spot changes before they matter

Track engagement momentum before customers drift away

Missing gradual declines in engagement until it's too late

Re-engage customers before they churn

Next Best Action Score

Know exactly what to do next

Get AI-powered recommendations for each customer interaction

Guessing what action will move deals forward most effectively

Take better actions immediately

Affichage de 10 sur 12 métriques

Questions fréquentes

Questions Fréquentes

Tout ce que vous devez savoir sur le suivi des métriques de forecasting & intelligence.

Encore des questions ?

Démarrer l'essai

ElasticFlow

Site principal Connexion S'inscrire

Mis à jour le 15 janvier 2026

Know What's Coming Before It Happens

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.

Churn predictionOutcome forecastingRisk detection

Explorer ce que vous pouvez suivre

Comment notre plateforme vous aide

Transformez les métriques en actions concrètes

Notre IA suit, prédit et vous alerte en continu pour que vous puissiez vous concentrer sur l'essentiel au lieu de courir après les données

Predict which customers will churn

Forecast deal outcomes with confidence

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.

Spot trends before they become problems

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.

Défis courants

Risques d'attrition et défis de rétention

Sans métriques claires, ces problèmes vous coûtent du temps et du budget. Voici comment le suivi de ces métriques vous aide à garder une longueur d'avance.

Customers churn without warning

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.

Comment nous résolvons cela :

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.

Forecasts are always wrong

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.

Comment nous résolvons cela :

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.

React to problems too late

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.

Comment nous résolvons cela :

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.

Can't identify leading indicators

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?

Comment nous résolvons cela :

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.