Category: Usage Based Pricing

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Expansions in Usage-Based Pricing: Forecasting Revenue After the Sale

As businesses move deeper into the world of usage-based pricing, one of the most transformative changes is the shift in how revenue is forecasted. Gone are the days when revenue was purely driven by upfront contracts and renewals. In today’s environment, a significant portion of revenue comes from the ongoing consumption of products and services, which grows over time, especially through expansions.

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Forecasting Renewals in Usage-Based Pricing

As more companies adopt usage-based pricing models, managing renewals and forecasting consumption has become increasingly complex. These changes demand that organizations evolve how they track and manage revenue, shifting from traditional pipeline and booked deal management to focusing on usage and associated revenue. This shift is reshaping how businesses forecast renewals and plan for the future.

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What Is Usage-Based Billing?

Usage-based billing is quickly becoming the dominant revenue model for companies. From cloud infrastructure to SaaS, media, and AI platforms, companies are increasingly adopting pricing strategies that tie revenue directly to customer usage.

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Best Practices for Consumption Forecasting

Consumption-based revenue models introduce a layer of complexity that traditional forecasting methods struggle to handle. Unlike fixed revenue contracts, consumption revenue is dynamic—fluctuating based on customer behavior, seasonality, product adoption, and a host of other variables. To get ahead, businesses need to rethink their approach to forecasting.

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Deal Modeling of Consumption for GTM and Account Planning

As businesses shift to consumption-based go-to-market strategies, forecasting revenue has become increasingly complex. Whether it’s API calls, data storage, or platform usage, traditional forecasting methods designed for fixed or subscription pricing models no longer suffice. Organizations need a more dynamic approach to predicting revenue growth—one that accounts for real-time customer usage and adapts to changing consumption patterns.