Find the decision behind the job title

Read whether the team sets price levels, evaluates discounts, maintains price lists, supports individual deals or analyzes customer demand. Those assignments require different preparation. BLS includes price-setting among the decisions that quantitative operations-research work can support, but not every pricing internship is that kind of modeling role.

Also separate the price from the billing structure. Stripe's documentation distinguishes flat-rate, per-seat, tiered and usage-based subscriptions. Choosing what to charge for is a different question from choosing how much to charge.

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Example: more revenue, less contribution

This fictional product has a $100 price and $60 variable cost. Contribution means revenue minus that stated variable cost; it is not fully loaded profit. Assume the cost per unit does not change and ignore taxes, fixed costs and effects on other products.

Fictional discount comparison
MeasureOriginal priceDiscount with 20% more units
Price$100$90
Units sold1,0001,200
Revenue$100,000$108,000
Variable cost per unit$60$60
Total contribution$40,000$36,000

The discount leaves $30 per unit instead of $40. Preserving the original $40,000 contribution requires $40,000 ÷ $30 = 1,333.33 units, or at least 1,334 whole units. The continuous break-even increase is 33.33%, not 10%.

The 1,200-unit case raises revenue by 8% but lowers contribution by 10%. You now know the sales response needed to justify the discount; you have not proved that customers will provide it.

The same tier rates can produce different bills

Suppose the first ten units cost $10 each and the next tier uses an $8 rate. Under a graduated rule, only units above ten get the lower rate. Under this example's volume rule, exceeding ten makes every unit cost $8. Stripe documents both approaches; the actual configuration determines which applies.

Fictional tiers: first ten units at $10; lower tier rate $8
QuantityGraduated billVolume-rule bill
9$90$90
10$100$100
11$108$88
15$140$120

The boundary matters. Under this volume rule, buying eleven units costs $88, less than the $100 bill for ten. That price cliff may change customer behavior. It is a consequence to examine, not a calculation error to hide.

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Check the assumptions that could erase the benefit

In your model, include the variable costs that matter: delivery, payment fees, returns or additional support where applicable. Use realized prices after discounts and credits. Check whether increased volume requires another shift, warehouse or service tier.

Do not attribute all of a before-and-after sales change to the new price. Seasonality, stock availability and promotions can change the result too. A proposed test needs a defined comparison, period and outcome; measuring units alone would miss the contribution decline above.