Built for RevOps teams who own the forecast
Scalivo automates the data aggregation work that RevOps teams currently do manually every quarter — so you spend QBR week explaining the forecast, not building it.
What RevOps teams deal with every quarter
Two days of QBR prep every quarter
Pulling Salesforce exports, cross-referencing product data, reconciling support tickets with pipeline — all manually, every quarter, on a deadline.
Point estimates with no confidence range
Every forecast is a single number that the CFO immediately questions. There's no honest way to show the range the data actually supports.
CRM activity reflects what reps log
Salesforce stages reflect rep optimism, not buyer behavior. Without product usage signals, you're forecasting from a structurally lagging indicator.
No consistent model across segments
Enterprise and mid-market deals close differently. One spreadsheet model for both creates systematic forecast errors that compound quarter over quarter.
What RevOps teams get with Scalivo
Automated data aggregation
CRM, product usage, and support data normalize automatically. QBR prep that took two days now takes under two hours.
CFO-grade confidence intervals
Every projection comes with 50% and 80% confidence bands. You show the range the data supports, not just a number you're defending after the fact.
Multi-source signal model
Product engagement and support health add leading indicators that CRM data misses. Spot at-risk deals before they slip the quarter.
Stop building the forecast manually
See what automated RevOps forecasting looks like for your team.