Pricing your product before your infrastructure can support it
The plan that sells well and the system that can deliver it aren't always the same thing.
Pricing decisions usually get made by looking at the market and the customer, which is correct — but they're rarely checked against what the underlying infrastructure can actually support at that price point, and the mismatch tends to surface at the worst possible moment: right after a big customer signs.
Unit economics apply to infrastructure too
A pricing tier that looks profitable on paper can be quietly unprofitable if the infrastructure cost of serving that tier's usage pattern wasn't modeled honestly — heavy API usage, large data storage, high-compute features priced the same as lightweight ones.
Enterprise deals reveal the gaps first
The first customer who actually uses the product at real scale tends to be the one who discovers every infrastructure assumption that was never load-tested — and that's usually your best, most important customer, which is exactly the wrong moment to discover it.
Price with a real cost model, not a guess
Before finalizing pricing, it's worth modeling actual infrastructure cost per customer at a realistic usage pattern for each tier — not the average customer, the heaviest plausible one. That number should inform the price, not just the market's willingness to pay.
- Model infrastructure cost per tier honestly, including heavy-usage customers.
- Big enterprise deals often reveal infrastructure assumptions nobody load-tested.
- Price against a real cost model, not just market willingness to pay.
What "scale" actually means before you have users
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