Usage-based pricing enables businesses to align customer charges more closely with actual consumption and the value delivered. Compared with fixed subscriptions, this approach offers greater pricing flexibility and transparency. It can also help businesses introduce new offerings, respond to changing customer needs, and use consumption data to identify opportunities for revenue growth.
webinar
The Usage Economy: A Usage-Based Pricing Case Study
How LogiSense Adopted Usage-Based Pricing to Align Revenue with Customer Value
What does it take to move beyond traditional subscription pricing and build a business around actual customer consumption?
In this MGI Research Monetize 2021 session, LogiSense CEO Adam Howatson joins Andrew Dailey of MGI Research to explore the evolution of the Usage Economy and share how LogiSense implemented its own usage-based pricing model.
The discussion examines how transparent pricing can improve customer qualification and sales efficiency, why selecting the right consumption metrics is essential, and how businesses must adapt their approach to revenue forecasting, product development, and financial operations.
Using LogiSense's experience as a company case study, Adam offers practical insights for organizations considering consumption-based monetization.
What You'll Learn
- Moving beyond subscription fatigue: Why customers increasingly expect pricing to reflect the value they actually consume.
- The impact of transparent pricing: How publishing clear pricing and product information helped LogiSense attract better-informed prospects and streamline sales conversations.
- Selecting the right usage metrics: Why understanding product economics, margins, and consumption behaviour is critical to monetization.
- Building commercial agility: How organizations can adapt pricing, packaging, and offerings as customer needs evolve.
- Forecasting consumption-based revenue: Why usage models require greater collaboration between finance and product teams, along with deeper analysis of customer trends.
- Turning usage data into business intelligence: How consumption insights can inform product development, revenue forecasting, and upsell opportunities.
Discover how adopting a usage-based business model can help organizations strengthen the relationship between customer value and revenue while creating more flexible monetization strategies.
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Executive Framework
Operationalize usage-based pricing at scale, with confidence
We believe usage-based pricing should scale revenue, not risk. This guide shows how the strongest operators build monetization that holds up across the entire lifecycle, from the first quote to the final close.
Speak with an Expert
Turn Your Usage-Based Pricing Strategy into Revenue
Speak with a LogiSense expert to explore how your organization can support consumption-based pricing and turn usage into revenue.
FAQ
What are the benefits of usage-based pricing for businesses?
What are the biggest challenges of implementing usage-based pricing?
Implementing usage-based pricing requires businesses to identify appropriate consumption metrics, understand product margins, and establish reliable usage tracking and billing processes. Organizations must also adapt revenue recognition, forecasting, and pricing strategies while ensuring closer collaboration between finance, product, and commercial teams.
How does usage-based pricing affect revenue forecasting?
Unlike fixed subscription models, usage-based pricing introduces revenue variability because customer consumption can fluctuate over time. Accurate forecasting requires businesses to analyze historical usage patterns, customer seasonality, consumption trends, and customer growth. These insights help finance teams develop more informed revenue projections and anticipate changes in demand.
How can businesses use consumption data to improve monetization?
Consumption data provides insights into how customers interact with products and services. Businesses can analyze usage patterns to identify upsell and cross-sell opportunities, refine pricing structures, improve product offerings, and understand customer behavior. These insights also support more accurate forecasting and help organizations adapt their monetization strategies as customer requirements evolve.