Dynamic Pricing: Capture Usage for Variable Rates

Pricing isn’t a one-size-fits-all approach anymore. For companies dealing with constantly shifting variables—whether it's consumption, market data, or evolving costs—there's a need for a more nuanced approach to billing. Enter Dynamic Pricing. This feature enables businesses to adjust their product prices based on real-time data, setting an optimal price for every event, at any moment.

What is Dynamic Pricing?

With Dynamic Pricing, you can apply flexible, real-time pricing that evolves with your business’s consumption or external market influences. No more one-size-fits-all pricing; instead, you can charge exactly what each event is worth, based on your criteria. It’s the smart way to manage complex billing scenarios where prices can fluctuate during a billing period.

Whether it’s usage patterns, fluctuating costs, or external market factors, this approach allows you to calculate the exact value of a service at any given point. The result? Prices that better reflect actual demand and cost, ensuring both fairness and profitability.

Common usage-based examples

AI Companies: Pricing that matches complexity

Let’s start with an example from the world of AI. In this industry, every task can have a different resource demand. Training an AI model, for instance, can vary based on the number of epochs or iterations, the complexity of the data, or the computing power required. With Dynamic Pricing, you can capture these varying factors and reflect them in your pricing.

Take a model training event. You can analyze parameters like how many iterations were required or the size of the dataset and adjust the price accordingly:

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This way, pricing for AI services directly reflects the complexity and resources involved. No guessing, no fixed fees—just a data-informed price.

Fintech: Pricing with real-time market data

In the financial sector, where every second counts and prices change rapidly, a static pricing model can feel disconnected from reality. With Dynamic Pricing, fintech companies can adjust their fees based on real-time market data—such as stock price movements, currency exchange rates, or transaction volume.

For example, imagine a service that assists with large-scale currency exchanges. Instead of applying a fixed fee for every transaction, you can pull in the current market rate and calculate a fee that mirrors the real-time conditions:

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Here, the price is determined by market fluctuations, ensuring that both the business and the customer are charged fairly based on the moment’s reality.

CPaaS: Adapting to Telecom costs on the fly

In the Communications Platform as a Service (CPaaS) industry, pricing can be affected by the fluctuating costs of telecom services. Carrier rates for services like SMS, voice calls, or even API-based messaging systems often change without notice. Dynamic Pricing allows providers to adjust their charges based on real-time input from telecom providers.

For instance, if the cost of delivering SMS through a certain carrier increases during high-traffic periods, the price for that event can reflect the change:

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The ability to align pricing with actual service costs means that customers only pay what they should, and businesses don’t take a hit during cost spikes.

Additional applications

Let’s explore how this dynamic approach applies across a range of other industries, and how businesses can leverage it to reflect real-time conditions.

• Travel Industry: Flight prices based on seat availability and demand
• E-Commerce: Adapting to supply chain disruptions
• Ride-Sharing Services: Surge pricing based on location and demand
• Sports and Entertainment: Event ticket pricing based on popularity

Take control of your pricing—dynamically

With our new Dynamic Pricing feature, you’ll be able to fine-tune your pricing model to reflect the real-time value of every event or transaction. You’re not just billing your customers—you’re giving them a transparent, usage-based pricing model that aligns with their actual usage.