How to review your first month of regional pricing
A month has passed since you turned on regional pricing. You have coupon redemptions, some extra orders, and a dashboard full of numbers. Did it help?
Start with a narrow answer. What happened to the people eligible for the offer, and how much money remained after the costs of serving them? Then ask how confident you are that the pricing change caused the result.
One month is a useful review point. It doesn't guarantee enough purchases to judge the price.
Rebuild the offer you actually ran
Write down the eligible countries, products, discount, billing interval, and dates. Include any changes during the month. If you moved from 20% to 40% off halfway through, report those as separate offer versions.
List other events too. A launch email, an affiliate promotion, a payment outage, or a new course module can change buying behavior. You want those beside the results, not remembered after you've picked a winner.
For rotating coupons, group the related codes under the same offer version. A code is a delivery mechanism; it isn't necessarily a separate experiment.
Build a report with a consistent denominator
Use eligible pricing-page visitors if that's what your test plan specified. Don't divide one period's orders by all website visitors and the next period's orders by checkout visitors.
The table below is entirely hypothetical. Contribution means receipts after refunds and the variable costs included in this example, before fixed business expenses.
| Metric | Baseline | Regional offer |
|---|---|---|
| Eligible visitors | 500 | 500 |
| Paid orders | 10 | 15 |
| Conversion rate | 2% | 3% |
| Gross product receipts | $1,000 | $900 |
| Contribution | $700 | $510 |
| Contribution per eligible visitor | $1.40 | $1.02 |
The offer converts more people but produces less contribution per visitor. That doesn't mean all regional pricing fails. It means this particular result doesn't support expanding this particular offer for short-term contribution.
If customer acquisition or learning is your immediate goal, you may still choose to continue. Name that goal and the budget you're willing to spend. Don't describe a contribution decline as a revenue win.
More buyers. Less money per visitor.
Baseline
$1.40 / visitor
10 paid orders, 2% conversion, $700 contribution.
Regional offer
$1.02 / visitor
15 paid orders, 3% conversion, $510 contribution.
Conversion improved. Contribution per visitor fell about 27%.
Reconcile the analytics with payments
Compare completed order events with your payment provider's records. Remove duplicate events, exclude test purchases, and account for refunds using the same observation window in both groups.
Check whether the analytics can identify the offer at all. Some integrations expose more purchase detail than others. If a sale can't be matched reliably, report the attribution gap rather than assigning it to the regional campaign by guesswork.
Evendeals' quick-start documentation notes provider-specific analytics limitations. Your payment records remain necessary for checking collected amounts and refunds.
Don't confuse coupon copies or banner views with paid orders. Those events help explain the funnel but can't substitute for the final transaction.
Inspect countries and customer types
Look at the combined result, then break it down where there is enough data to be useful. One market may dominate the total. A new source of visitors can change the mix even if each country's offer stayed the same.
For subscriptions, inspect retention and actual renewals separately. A month of discounted first payments doesn't prove a higher lifetime value. For usage-heavy products, allow time for the associated service costs to appear.
If one country has two purchases, show the count. A large percentage on a tiny base shouldn't look as trustworthy as a result built from hundreds of transactions.
Choose a next step that fits the evidence
Keep the offer if the result meets your goal and the operational problems are manageable. Adjust it if customers buy but the contribution is too low. Fix checkout before evaluating the price if codes were failing.
If the result is inconclusive, say that. Continue a stable test, narrow the audience, or collect customer feedback. Avoid changing the country groups, discount, landing page, and payment flow all at once; you'll make the next month harder to interpret.
Use the low-traffic testing guide to plan a comparison, and the margin calculation to set a sustainable target.
Write a conclusion you can actually defend
Using the example above, a useful review would say: conversion rose from 2% to 3%, but contribution fell from $700 to $510 across equally sized groups. We'll check the discount depth and costs before expanding it. That gives you a next action without pretending the test answered every question.
A weaker review says regional pricing increased conversions by 50%, full stop. The arithmetic is correct, but it leaves out the part that pays your bills. Keep both the conversion result and the money result in the same paragraph.
Also name the biggest gap. Maybe the offer period included a launch email, or some orders couldn't be matched to an offer. You don't have to throw the report away. You do need to explain why the comparison may be misleading.
Finish with one decision and one review date. If you reduce the discount next month, give that offer a new label. Keep the old results. Otherwise a few months from now you'll have a pile of numbers and no reliable memory of which price produced them.
Save the decision for your next review
Keep a one-page record with the offer, counts, receipts, costs, known gaps, and next action. Include the date you'll revisit it and what evidence would change your mind.
Save the report somewhere you'll find it next month. Keep what's working, fix one clear problem, and leave the uncertain bits marked as uncertain. That's a useful month's work, even without a dramatic growth screenshot.