Revenue teams that stopped guessing
Teams using Scalivo reduced forecast error by an average of 68% in the first 90 days — measured as the delta between model P50 and actual quarter-close ARR.
Two teams, two different problems, one model
CS team was triaging 400+ accounts manually with no signal ranking — only renewal date order. Risk flags arrived from Gainsight health scores, but health scores didn't incorporate product usage trends or billing changes. The team was reacting to churn two to three weeks after the decision had already been made internally by the customer.
Scalivo connected to their CRM, product analytics, and billing systems. Within the first quarter, the churn early warning model flagged 11 accounts 8 weeks before renewal — accounts with declining DAU/MAU and seat-count contraction that the health score had not caught. Proactive intervention saved an estimated $620K in ARR. Forecast error dropped from ±31% to ±7% in Q3.
"The model flagged an account that had barely touched the product in 6 weeks. We called them the next day. Turned out they were evaluating a competitor — we still had time to run a business review and save the contract."
Founder-led sales with one AE. Pipeline lived in HubSpot but forecast category assignments were based on founder intuition. Board reviews were defensive conversations — the number was different every quarter and there was no model to explain why. The CFO kept asking for a confidence range; the team kept presenting a single number with a range attached by hand.
Scalivo connected to HubSpot, Segment, and Stripe in under two days. The gradient-boosted model trained on 18 months of closed-won and churned history. First quarter running Scalivo: actual ARR came in at 3.1% off P50 forecast. Board now receives a P10/P50/P90 range with version history — the "how do you know?" question has stopped coming up.
"I stopped dreading the 'how do you know?' question. The P10/P50/P90 framing changed the whole conversation — instead of defending a number, we're discussing risk tolerance."
What they say
"Connected our CRM and product analytics in about two hours. By day three we were seeing engagement-to-pipeline correlations we'd never quantified before — signals the data was always producing, we just weren't reading it."
"Rep attainment accuracy scores changed how I run pipeline reviews. I now know which reps historically under-forecast so I can adjust the model's rep-level weight — and coach from actual data, not from what they tell me in the 1:1."
"Expansion Engine surfaced three accounts we'd have left at flat renewal. Product engagement was climbing on all three — we just weren't tracking it against billing headroom. The upsell conversations closed in the same quarter. Tool paid for itself in month one."
Your pipeline data is already there. Scalivo reads it.
14-day free trial — full Growth access from day one. Connect your CRM, add a product analytics source, and get your first P10/P50/P90 forecast within 48 hours.