Aivyro AnalyticsDiscover why your deals close — and why they don't
Everyone has pretty dashboards. Aivyro Analytics goes beyond: causal analytics showing WHICH ACTIONS lead to more closes. Predictive forecasting that anticipates the month before it ends. Proactive alerts, not reactive reports.
Causal analytics
Shows WHY sales dropped, not just that they dropped. Corrective action, not reports.
95%+ accurate forecasting
Revenue forecasting by pipeline, seasonality, and real patterns.
Proactive alerts
"Enterprise pipeline dropped 30%." Know before it becomes a problem.
Causal analytics — the WHY, not just the WHAT
Normal dashboards show "sales dropped 15%". Analytics shows "sales dropped because response time increased 3x and 40% of Hot leads didn't get follow-up within 24h". Corrective actions, not just numbers.
Predictive forecasting
Revenue forecasting that goes beyond probability × value. The model analyzes pipeline velocity, historical conversion patterns, and seasonality to project the month with 95%+ accuracy.
Proactive alerts and live dashboards
Don't wait for the weekly report to discover problems. Automatic alerts when metrics deviate: "Enterprise pipeline dropped 30% this week". Real-time dashboards with drill-down into any metric.
Everything you need
Causal analysis
"Sales dropped because response time increased 3x." Cause, not correlation.
Predictive forecasting
Probability × value × velocity × seasonality. 95%+ accuracy.
Live dashboards
Real-time, drag-and-drop, drill-down into any metric.
Automatic alerts
Pipeline, activity, forecasting, SLA. Know before it becomes a crisis.
Team filters
View by rep, team, product, or period. Full granularity.
Customizable KPIs
Win rate, cycle time, pipeline coverage, quota. Configure your view.
Analytics (not just correlation)
Forecasting accuracy
Live dashboards
Frequently asked questions
Causal analytics identifies cause-effect relationships, not just correlations. Instead of "sales dropped", it shows "sales dropped because action X stopped happening". Enables precise corrective actions.
The model analyzes pipeline velocity, conversion rates by stage, seasonal patterns, and rep behavior to project revenue. Updates in real-time as deals progress.
Yes. Drag-and-drop metrics, filter by team/product/period, and ready-made templates for the most common KPIs (pipeline coverage, win rate, cycle time, quota attainment).
For sales and CRM data, yes. The advantage is data is already integrated — no ETL, no connectors. For cross-functional BI (finance, product), dedicated tools are still needed.
Pipeline alerts (stalled deals, low pipeline coverage), activity alerts (SDR with no calls, late follow-ups), forecasting alerts (projection below target), and custom alerts you configure.