Revenue Intelligence
Stop explaining why the number was wrong
Scalivo connects your CRM activity, product usage, and billing data into one model. Quota attainment by rep, by segment — with confidence intervals that hold up in CFO reviews.
Your CRM only shows what reps remember to log
Product usage tells you which accounts are going dark — but that signal lives in Mixpanel or Amplitude. Billing tells you who's contracting — but that's in Stripe. Your weekly commit call is still a judgment call averaging three dashboards open in separate tabs. Forecast category stays "best-case" until it's "closed-lost." We built Scalivo because this is how bad forecasts happen — not from bad reps, but from signal fragmentation.
- Forecast category set by rep conviction, not signal weight
- Churn risk visible in product data 6 weeks before anyone acts
- Expansion ARR left at renewal because CS never got the engagement signal
- Model-assigned close probability from CRM + product + billing daily
- Churn early warning fires 60–90 days before renewal, traceable to signal
- Expansion candidates ranked by engagement velocity and billing headroom
Three streams. One model. One number.
Connect your stack
Salesforce or HubSpot for pipeline. Mixpanel, Amplitude, or Segment for product signals. Stripe or Chargebee for billing. No ETL required — native connectors, data flowing in hours.
Model builds automatically
Scalivo trains a deal-outcome model on your historical data — weighting signals by what actually predicted closed-won at YOUR company, not industry averages.
Forecast by rep, segment, and account
Pull up quota attainment projections with confidence bands. Drill from segment to deal. Flag the accounts the model thinks your reps are over-confident on.
Four modules. One model trained on your data. Not a shared template.
Surface expansion ARR before the renewal window closes
Scalivo ranks accounts by expansion probability — combining product engagement velocity, current contract value, and days to renewal. Your CS team gets a prioritized list, not a spreadsheet to sort. Accounts with high DAU/MAU growth and billing headroom float to the top. The ones your team would have left at flat renewal.
See Expansion EngineRep attainment accuracy scores
Track which reps consistently over-commit and which under-commit against their forecast category. Adjust the model's rep-level weight, then coach from data — not from the pipeline review gut-check.
Churn risk with signal traceback
When a churn risk flag fires, Scalivo shows the exact signals that drove it — login frequency change, feature abandonment rate, support ticket volume. Not a black-box health score. Every flag is explainable in a CS call.
P10/P50/P90 confidence intervals
Every forecast outputs a range, not a single number. Present your P50 to the board and your P10 to the CFO — with the model's week-over-week version history so you can show the forecast held.
Signals where your team already works
Weekly digest to your RevOps Slack channel. Risk flags and expansion scores write back to Salesforce or HubSpot opportunity fields. No new dashboard to check — the signal comes to you.
Your stack, not ours
28 connectors. No ETL required. Data flowing in hours.
Native read-only OAuth connections to Salesforce, HubSpot, Mixpanel, Amplitude, Stripe, Chargebee, Snowflake, BigQuery, and 20 more. Scalivo does not require a data engineer to set up and does not write to source systems unless you configure it to.
See all 28 integrationsWhat CROs and RevOps leads say after 90 days
"Forecast error went from ±28% to ±6% in one quarter. The board stopped asking 'why was the number different.' We just show the P10/P50/P90 band now and the conversation moves on."
"We identified three expansion candidates the CS team had written off as flat renewals. The product engagement signal was there — we just weren't looking at it alongside billing headroom."
"We were quoted 60-day implementations by two other vendors. Scalivo was two days. The signal model was running before I'd finished writing the onboarding recap email."
Connect your stack. Get a forecast worth committing to.
14-day free trial. No credit card. First forecast within 48 hours of connecting your CRM.