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Complex usage patterns
Difficulty in predicting diverse customer consumption behaviors across different products and services.
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Difficulty in predicting diverse customer consumption behaviors across different products and services.
Inability to consolidate and analyze consumption data from multiple sources and systems effectively.
Delayed access to usage data hinders timely decisions and identifying at-risk accounts or expansion opportunities.
Discrepancies in how different teams interpret and act on consumption data, leading to inconsistent forecasts.
Accurately forecast consumption revenue
Leverage AI and machine learning to accurately predict consumption patterns and forecast revenue with confidence.
Uncover consumption patterns and risks
Unite sales and customer success teams with real-time visibility into usage trends, risks, and growth opportunities.
Reduce resources for forecasting processes
Automate manual tasks and workflows to reduce effort, improve accuracy, and free up team resources.
Tailor forecasts to your unique needs
Customize metrics to forecast accurately for tiered, per-unit, or hybrid consumption pricing structures.
HOW WE DO IT
Roll up the forecast based on users, accounts, products or workloads.
Access revenue data from any system to achieve a unified view of revenue.
Generate precision forecasts using predictive models built specifically for usage-based revenue.
Any kind of revenue
Manage SaaS, consumption, outcome-based, renewals, and PLG.
Enterprise-grade platform
The scale, security and performance enterprises demand.
AI revenue agents
Integrated with your existing tech stack and laser-focused on driving sales productivity.
BoostUp is the only solution we explored with flexibility to help us run usage-based forecasting efficiently.
Meghan Gill
Senior Vice President of Sales Operations
• Achieve forecasting accuracy up to 95% across all revenue streams—subscriptions, consumption, renewals, and PLG.
• Increase renewal and expansion rates by 20-30% with predictive health scoring and churn analysis.
• Drive 25% higher quota attainment by identifying and addressing deal risks early.