Complex usage patterns
Difficulty in predicting diverse customer consumption behaviors across different products and services.
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.
Flexible for any revenue model
Models customers' underlying data schema and objects to adapt to any revenue model.
Connects to all revenue tech
Gathers data from any revenue tool, including CS, product usage, and resource monitoring systems.
Superior accuracy
Uses AI-driven machine forecasting to predict usage data and aggregate forecasts.
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
BoostUp's modern architecture enables revenue teams to build forecasts for any unit, including opportunities, renewals and expansions, new users, workloads or ad units. It can also be adapted for any rollup hierarchy, including the sales teams, accounts, product feature sets, or operating units.