
Customer Stories
How 1NCE scaled global IoT billing with Lago
Finn Lobsien • 2 min read
May 5, 2025
/6 min read
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The rise of AI-powered services, complex SaaS offerings, and infrastructure platforms has created both challenges and opportunities in billing strategy. According to recent data, companies that implement usage-based billing models grow revenue 38% faster than those relying solely on flat-rate subscriptions. This shift isn't just about following trends—it's about creating sustainable business models that scale with customer success.
The traditional subscription model—charging a fixed monthly or annual fee—served as the foundation for the SaaS revolution. However, as technology services become more complex and consumption patterns more variable, billing models have needed to evolve accordingly.
The payments ecosystem is undergoing profound transformation, driven by technological advancements, changing consumer expectations, and evolving regulations[1]. This shift isn't merely about adopting new technologies but reimagining the entire payment experience to improve operational efficiency and unlock new innovation opportunities.
Several key trends are shaping the billing landscape in 2025:
While streaming services, monthly subscription boxes, and software subscriptions remain popular[2], forward-thinking companies are implementing more nuanced approaches. The modern payment tech stack now incorporates AI-driven solutions to maximize security and revenue potential[3].
Usage-based billing has emerged as the cornerstone of modern tech monetization strategies. This approach directly ties customer costs to their actual consumption of your service, creating a natural alignment between value delivered and revenue generated.
In a usage-based model, customers pay based on their consumption of specific metrics. These metrics might include:
The key advantage is scalability—customers with minimal usage pay less, while power users who derive significant value pay more. This creates a natural growth path that expands revenue as customer value increases.
Implementing usage-based billing requires robust metering infrastructure to accurately track consumption metrics. Your billing system must be able to:
Lago's metering engine processes up to 15,000 billing events per second, ensuring that even the most demanding usage patterns can be accurately tracked and billed without performance degradation.
Many successful tech companies are finding that hybrid billing models—combining elements of subscription and usage-based approaches—provide the ideal balance between predictable revenue and growth potential.
This model features a base subscription fee that provides access to core functionality, with additional charges based on usage of specific features or resources. Benefits include:
For example, an AI document processing platform might charge a base subscription for access to the platform, then bill additionally based on the number of documents processed or specific AI features utilized.
Tiered usage models offer another hybrid approach, where pricing is structured in volume-based tiers:
Usage TierPrice Per UnitBenefits0-1,000 units$0.10 per unitPay only for what you use1,001-10,000 units$0.08 per unitVolume discount as usage grows10,001-100,000 units$0.06 per unitSignificant savings for power users100,001+ units$0.04 per unitEnterprise-level pricing
This approach rewards increased usage with better rates, encouraging customers to expand their utilization of your platform.
Credit-based pricing has gained significant traction, particularly for AI and data-intensive services where usage can vary dramatically.
In a credit-based model, customers purchase credits upfront that can be consumed across various features or services. Different actions consume different amounts of credits based on their complexity or resource requirements.
For AI services, this might look like:
This approach gives customers flexibility in how they use your service while providing predictable costs and simplifying the purchasing process.
There are two primary approaches to credit-based systems:
Lago supports both models, allowing businesses to implement the approach that best fits their customer base and service type. The platform's prepaid credits feature enables businesses to offer customers the ability to purchase credits in advance and draw down on them as services are consumed.
For certain types of services, particularly infrastructure and utility-like offerings, pure pay-as-you-go models provide the ultimate flexibility.
Pay-as-you-go works best when:
This model has become particularly prevalent in AI services, where processing requirements can vary dramatically based on project needs and usage spikes.
Successful pay-as-you-go implementation requires:
Lago's real-time metering capabilities make implementing pay-as-you-go billing straightforward, with built-in support for spending caps and usage alerts to keep customers informed.
AI services present unique billing challenges due to their variable resource consumption and the difficulty of predicting costs.
Effective AI service billing requires metering multiple dimensions:
By tracking these metrics, AI providers can create pricing models that accurately reflect their costs while remaining transparent to customers.
Many AI services have adopted token-based pricing, where operations are billed based on the number of tokens processed. This approach:
Lago's metering system can track token consumption in real-time, enabling accurate billing for even the most demanding AI applications.
Creating an effective billing strategy requires careful consideration of your product, customer base, and business goals.
When evaluating billing models, consider:
The most successful companies often implement multiple billing models to serve different customer segments or use cases.
Implementing advanced billing models requires robust technical infrastructure:
Lago provides all these capabilities in a single platform, with the flexibility to support virtually any billing model you can design.
The evolution beyond basic subscriptions represents a significant opportunity for tech companies to align their revenue models more closely with the value they deliver. By implementing sophisticated billing models—whether usage-based, hybrid, credit-based, or consumption-driven—businesses can create pricing strategies that scale naturally with customer success.
As AI and other advanced technologies continue to reshape the tech landscape, billing flexibility will become increasingly critical. Companies that implement the right billing infrastructure today will be well-positioned to adapt their monetization strategies as their products and markets evolve.
For businesses looking to implement these advanced billing models, Lago offers a comprehensive platform that handles everything from metering to invoicing, with the flexibility to support virtually any pricing strategy. Whether you're launching a new product or evolving your existing billing approach, having the right billing infrastructure is essential for sustainable growth in today's dynamic tech environment.
[1] https://justt.ai/blog/modern-payment-tech-stack/
[2] https://ellingtontech.com/7-examples-of-subscription-based-payment-models-in-2025/
[3] https://www.echohealthinc.com/blog/the-future-of-payments-in-2025-modernization-in-the-us
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