PPP pricing for AI products with real usage costs
Your AI writing app costs $20 a month. You want to offer 40% off in selected markets. That's a $12 subscription, but the model provider still sends you a bill for every customer's usage.
Regional pricing can make the product accessible to more people. It also needs a cost model that survives customers using what you promised. Start with usage, then choose the price and allowance together.
Model a customer who actually uses the product
Imagine a $12 regional plan. An ordinary customer incurs $3 in model and infrastructure costs. Payment and support costs add another $1. That leaves $8 before fixed expenses.
Now imagine a heavier customer incurs $14 in model and infrastructure costs, plus the same $1 elsewhere. That customer costs $15 to serve against $12 in subscription revenue.
These are hypothetical numbers, not quotes for any model or provider. They show why one average cost can hide a problem. Look at the distribution of usage, including customers near the limits you advertise.
If a small group uses much more than everyone else, calculate what happens when that group grows. A regional discount can change who signs up and how they use the product. Don't assume today's average will hold after the offer launches.
Same $12 plan. Two very different customers.
Ordinary usage
$8 left
$12 paid − $3 model/infrastructure − $1 payment/support.
Heavy usage
$3 loss
$12 paid − $14 model/infrastructure − $1 payment/support.
Separate fixed costs from usage costs
Your domain and baseline hosting may cost the same whether one more customer joins or not. Model requests, generated media, storage, and some background jobs may grow with usage. Support can grow too, even when it doesn't appear on an API bill.
Track those categories separately. It helps you see whether a cheaper plan remains viable at an ordinary level of use and at a high level of use.
For a planning worksheet, record paid price, included credits, estimated cost per credit, other variable costs, and a contribution target. If a credit can trigger very different underlying work, model those cases separately. A short text rewrite and a long batch job shouldn't share an invented average without evidence.
Use actual provider invoices and measured requests to update the worksheet. A price list is useful context, but your product's prompts, retries, and processing steps determine what you consume.
Choose between a discount and a smaller plan
You have at least two choices. Offer the same package at a lower regional price, or offer a smaller package at a lower price. Be clear about which one you're selling.
A 40% discount on the same plan should retain the features and allowance you say that plan includes. If you reduce credits as well, describe the smaller package directly. Customers shouldn't discover the difference after paying.
| Option | Customer gets | What you need to verify |
|---|---|---|
| Regional discount | Same package for less money | Costs fit the lower price at allowed usage |
| Smaller regional package | Lower price with a stated allowance | The reduced scope still solves the customer's problem |
| Paid extra usage | Included allowance, then optional additional usage | Extra charges and consent are clear before use |
These are design options, not claims that Evendeals creates usage plans or meters model calls. Your application and billing system own that behavior.
Make limits visible before the sale
State included usage in units customers understand. If the unit is credits, show what a common task consumes. Explain what happens when the allowance runs out: pause, upgrade, buy more, or wait for renewal.
Avoid calling a plan unlimited while relying on an undisclosed low cap to make the discount affordable. You need terms the product can honor when someone uses it heavily.
Test limits on the server as well as in the interface. A disabled button isn't a usage control if the underlying endpoint continues accepting requests. Your usage limit needs to hold up when someone actually reaches it.
Give the allowance a real stress test
Suppose your writing app includes 1,000 credits a month. In a made-up cost model, each credit costs you $0.006 to deliver. A customer using all 1,000 costs $6 in usage. Add $1 in other variable costs, and a $12 subscription leaves $5 before fixed expenses.
Now suppose a retry-heavy workflow doubles the usage cost per credit to $0.012. The same promised allowance can cost $12 before that extra $1. You've gone from $5 left to a $1 loss without changing the sticker price or the credit limit.
That isn't a prediction about a particular model. It's a reason to measure what a credit means in your application. Include retries, background jobs, and long requests in the calculation. Check the most expensive tasks customers are allowed to run, not just the tidy demo prompt.
Then decide whether the regional offer fits the existing package. If it doesn't, change the price or define a smaller allowance honestly. Your customer needs an affordable product that keeps working next month. You need a plan you can keep delivering.
Evaluate the offer after people use it
Signups and first payments arrive before the full usage bill. Compare customer groups over a consistent period that includes real consumption, refunds, and support work.
Use contribution per customer and per eligible visitor alongside conversion. If the discounted group grows but consumes much more, investigate before widening the offer. You might need a different allowance, a higher regional price, or a separate product.
The margin guide walks through the arithmetic. Once the package works economically, use Evendeals display options to show the regional offer. Your discount should make the product easier to buy and still leave you able to run it.
Price one fully used month before offering a cheaper plan. If the numbers hold up, add the regional offer. If they don't, adjust the package first. More signups won't make an expensive request cheaper.