LogiSense Billing Blog

Pricing in the Usage Economy

Written by Adam Howatson | Apr 9, 2024, 10:22:00 AM

Choosing a usage-based pricing model is not simply a question of whether customers should pay for what they consume.

The harder question is how they should pay for it.

Should customers commit to a minimum spend? Should they prepay for credits? Should every unit of consumption be billed as it occurs? Or should a recurring subscription provide a predictable foundation while usage charges scale alongside consumption?

Each model creates a different balance between customer flexibility, revenue predictability, risk, and operational complexity.

That makes pricing model selection a business design decision, not just a billing decision.

Start With the Economics of Your Product

Before choosing a pricing structure, understand what actually changes when customers use more of your product or service.

For some businesses, additional consumption creates meaningful incremental costs. Cloud infrastructure, telecommunications, APIs, connected services, and AI-powered capabilities can all have costs that increase as consumption grows.

For others, the marginal cost of additional usage may be relatively small, but increased consumption strongly correlates with the value customers receive.

Those are different economic situations and may require different pricing approaches.

A useful starting point is to ask:

  • What does the customer actually consume?
  • What creates measurable value for the customer?
  • What causes our cost to serve that customer to increase?
  • How predictable is consumption?
  • How much variability will customers accept in their bills?
  • How much revenue variability are we prepared to accept?

The answers help determine which pricing structure provides the right balance.

Subscription Pricing

A traditional subscription charges customers a recurring amount for access to a product or service, typically monthly or annually.

Subscriptions work particularly well when customer usage does not vary dramatically or when access itself represents most of the product's value.

They also provide significant commercial advantages. Customers know what they will spend, while vendors gain predictable recurring revenue.

The limitation appears when customers with dramatically different consumption patterns pay essentially the same amount.

A customer making extensive use of a service may become disproportionately expensive to support, while a light user may feel they are paying for capacity they do not need.

When this gap becomes significant, introducing a usage component can better align price with consumption.

Subscription Plus Usage

Businesses do not necessarily have to choose between recurring and usage-based pricing.

A subscription-plus-usage model establishes a recurring base charge while allowing additional revenue to scale according to consumption.

For example, a customer might pay for access to a platform and then incur additional charges based on transactions, API calls, data processed, communications activity, or another measurable unit.

This approach can be useful when the core platform has inherent value but customers consume the service at significantly different levels.

For the vendor, it maintains a predictable revenue floor.

For the customer, costs can scale more closely with actual use.

The important question is where the subscription ends and variable pricing begins. If too much value is included within the base subscription, the usage component may have little commercial impact. If too little is included, customers may find the resulting bill difficult to predict.

Commitment Plus Usage

Another approach is to establish a minimum customer commitment and charge for additional consumption beyond it.

This model can provide greater flexibility than a fixed subscription without requiring the vendor to assume all of the revenue risk associated with pure consumption pricing.

A customer might commit to a certain level of annual or monthly spend. Consumption is applied against that commitment, with additional usage charged according to the agreed contract terms.

This structure can be particularly useful when customers can reasonably estimate baseline demand but still require room to grow.

The commitment gives the vendor greater revenue visibility while the usage component allows customer spending to expand as consumption increases.

However, commitments need to be set carefully.

If they are consistently much higher than actual consumption, customers may question the value of the agreement. If they are too low, the vendor sacrifices much of the predictability the model was designed to create.

Prepaid and Drawdown Pricing

With a prepaid or drawdown model, customers purchase an agreed amount of value in advance and consume against that balance over time.

That balance might represent currency, credits, units, capacity, or another measure of consumption.

Customers gain greater control over spending because they know how much has been allocated. Vendors gain the benefit of committed revenue before all of the service has necessarily been consumed.

Drawdown models can also accommodate more sophisticated commercial arrangements.

Different services can consume the balance at different rates. Customers can receive threshold notifications as balances decline. Additional funds can be added when limits are reached, and unused amounts may expire or roll over depending on contract terms.

This flexibility makes drawdown attractive, but it also increases the importance of accurate tracking.

A business must know exactly what was consumed, which balance it should be applied against, how it should be rated, and what should happen when the customer approaches or exceeds the agreed limit.

Pure Consumption Pricing

Under pure consumption pricing, customers are charged according to actual usage without a substantial recurring commitment.

This provides the closest relationship between consumption and price.

For customers, that can lower barriers to adoption because they do not need to commit significant spend before demonstrating value.

For vendors, however, pure consumption transfers more risk from the customer to the provider.

Revenue becomes more dependent on customer activity and may fluctuate considerably between billing periods.

That does not make pure consumption inherently better or worse than other approaches. It simply means the economics must support it.

Pure consumption works best when usage can be measured accurately, the value metric is understandable, demand can be managed effectively, and the business can tolerate greater revenue variability.

How Do You Choose Between the Models?

The right pricing model depends on the balance you want to create across several dimensions.

1. Customer value

Start by identifying what customers believe they are paying for.

A good usage metric should increase as the value customers receive increases.

That does not always mean charging for the easiest unit to measure.

A platform might be able to count logins, requests, transactions, devices, minutes, tokens, data volume, or completed actions. But only some of those metrics may have a meaningful relationship with customer value.

The most convenient metric for the vendor is not necessarily the best metric for the customer.

2. Customer predictability

Consider how easily customers can anticipate consumption.

If usage is highly unpredictable, pure consumption may create budget anxiety even when customers understand the underlying rate.

A base subscription, commitment, prepaid balance, cap, or threshold can introduce greater spending certainty.

If usage is relatively predictable, customers may be more comfortable accepting a larger variable component.

3. Revenue predictability

The same trade-off applies to the vendor.

Subscriptions and commitments create greater revenue visibility. Pure usage creates greater exposure to fluctuations in consumption.

The objective is not necessarily to maximize predictability.

It is to determine how much predictability the business requires while still allowing pricing to reflect customer value.

4. Cost to serve

Pricing should also account for the economics behind consumption.

As digital products evolve, additional usage can have very different cost implications.

An API request may consume infrastructure. A communications event may create network costs. An AI-powered feature may incur inference or compute costs. An IoT service may process data from millions of devices.

If costs increase with consumption but revenue does not, margins can deteriorate as customers become more active.

That makes understanding the relationship between usage, price, and cost to serve particularly important.

5. Commercial complexity

A pricing strategy also has to work outside the spreadsheet.

A model may appear attractive until it has to accommodate negotiated enterprise contracts, different rates by customer, tiers, discounts, minimum commitments, prepaid balances, thresholds, overages, bundles, and contract amendments.

The more flexible the pricing strategy becomes, the more important it is to determine whether the commercial infrastructure can execute it consistently.

Pricing Flexibility Should Not Create Operational Friction

One of the easiest mistakes to make is designing pricing that the business can sell but cannot efficiently operate.

Imagine a customer agreement that includes a recurring platform fee, an annual commitment, several usage tiers, negotiated rates for individual services, and different rules once a threshold is reached.

None of those terms is unusual on its own.

The complexity emerges when the business must apply them accurately across potentially millions of usage events and hundreds or thousands of customer contracts.

Before introducing a new pricing structure, determine whether the business can:

  • Capture the required usage data
  • Associate usage with the correct customer and service
  • Apply the appropriate contract terms
  • Rate consumption accurately
  • Track commitments and balances
  • Manage tiers, thresholds, and overages
  • Accommodate negotiated customer pricing
  • Explain charges clearly on the invoice
  • Reconcile usage and revenue across financial systems

A pricing model is only as scalable as the processes required to support it.

If teams have to manually interpret contracts, manipulate usage files, calculate exceptions, or reconcile invoices every billing period, pricing flexibility can quickly become operational overhead.

Avoid Pricing That Becomes Difficult to Change

Pricing decisions also create customer expectations.

Once a feature, service, or capability has been offered at little or no incremental cost, introducing a new charge later can be difficult even when the economics justify it.

That is why value metrics should be considered early in product development.

Ask what customers might eventually consume more of, what creates ongoing costs, and which capabilities could become meaningful sources of value.

You do not need to predict every future pricing model.

But building products and commercial systems with monetization flexibility gives the business more options as customer behavior changes.

There Is No Single Best Pricing Model

The Usage Economy™ does not mean every business should abandon subscriptions and move to pay-as-you-go pricing.

In many cases, the strongest commercial model combines multiple approaches.

A business may use a subscription to create predictable recurring revenue, commitments to establish minimum spend, prepaid balances to give customers budget control, and usage charges to monetize growth.

The right combination depends on your customers, your product economics, and your appetite for risk.

The objective is to create a model where the relationship between what customers consume, the value they receive, and what they pay remains clear as the business scales.

That is what makes pricing sustainable.