🇨🇦Money on the table: Canada
Its worst price sits under its optimum band. A small nudge up usually lifts ARPU without losing customers.
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We checked your prices in 10 markets. Create a free account to run the same check on your full catalog.
Nothing changes in your store. You approve every price yourself.
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Not your app? Run a free audit on yoursMost of your prices miss their local optimum.
Scored across 9 of your markets.
Room to improve19 of your 27 prices sit above their local optimum, pricing buyers out at the top end. Another 4 sit below their own, likely revenue you're not collecting. Your biggest gap: India, well over its optimum band.
Apps that close gaps like these typically lift revenue 15–40%, across the apps we audit. Your gaps are ranked below. Start at the top.
Each optimum comes from the Mirava Index, built from live subscription data, not a GDP guess.
In India, it's well over its local optimum.
See the exact price to charge for your 3 biggest gaps.
Nothing changes in your store. You review every recommendation first and push it live only when you approve.
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The local optimum is what we'd expect a market to carry. We read it from what local buyers actually pay for apps like yours. We allow a band either side of it, so only prices outside that band count as off.
Across the 10 markets we checked, these sit furthest past their optimum band. The further out, the more it costs you.
| Market | Local optimum |
|---|---|
India Far above optimum | Locked |
Brazil Far above optimum | Locked |
Mexico Far above optimum | Locked |
Australia Far above optimum | Locked |
Japan Above optimum | Locked |
Germany Above optimum | Locked |
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We cover 175+ storefronts for customers.
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More in this audit
These 8 previewed markets don't have one pricing story. In 4 of them, products sit both above and below what local buyers will pay. That drift usually means no deliberate strategy in those storefronts. Aligning the outliers is one of the easiest fixes in this report.
3 more markets show the same drift in this preview.
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All 2 findings come from your own pricing data.
Its worst price sits under its optimum band. A small nudge up usually lifts ARPU without losing customers.
That's 85% of the prices we ran. Mirava maps each one to the closest platform tier. You approve every fix in one pass.
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Products sold in most markets come first, then ranked by how many of their prices land outside their local optimum.
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