Complex usage patterns
Difficulty predicting and modeling diverse customer consumption behaviors across ad units and campaign types.
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Difficulty predicting and modeling diverse customer consumption behaviors across ad units and campaign types.
Inability to consolidate and analyze ad usage data effectively across multiple platforms, sources, and systems.
Delayed access to ad 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.
Forecast consumption-based revenue
Leverage advanced AI and ML models to predict consumption patterns and forecast revenue across ad-units and campaigns.
Get real-time visibility into usage patterns
Unite sales and account management teams with a shared view of ad-unit consumption, risks, and growth opportunities.
Streamline your forecasting processes
Automate manual forecasting tasks and streamline workflows, reducing time and headcount while improving forecast accuracy.
Customize forecasting for your business needs
Adapt to any ad unit pricing model with customizable metrics and forecast accurately for tiered, per-unit, or hybrid pricing structures.
HOW WE DO IT
Roll up the forecast based on users, accounts, ad-units, or campaigns.
Access revenue data from any system to achieve a unified view of revenue.
Generate precision forecasts using predictive models built specifically for ad unit-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.