🇮🇳Biggest overprice: India
Its worst price sits well over its optimum band. Coming down a tier or two usually grows total revenue, not the other way around.
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We checked your prices in 9 markets. Claim it and your account opens with this report already inside.
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Not your app? Run a free audit on yoursMost of your prices are well off their local optimum.
Scored across 8 of your markets.
Off target138 of your 148 prices sit below their local optimum, likely revenue you're not collecting. Another 6 sit above their own, pricing buyers out at the top end. Your biggest gap: Canada, well under its optimum band.
144 of your 148 prices are costing you money. The worst are ranked below. Start with the top three.
Each optimum comes from the Mirava Index, built from live subscription data, not a GDP guess.
In Canada, it's well under 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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1 country couldn't be analyzed. We don't have a Mirava Index or live exchange rate for it yet, so it's left out of the scores above rather than guessed at.
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 9 markets we checked, these sit furthest past their optimum band. The further out, the more it costs you.
| Market | Local optimum |
|---|---|
Canada Far below optimum | Locked |
United Kingdom Far below optimum | Locked |
Germany Far below optimum | Locked |
France Far below optimum | Locked |
Japan Far below optimum | Locked |
Mexico Far below optimum | Locked |
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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 3 findings come from your own pricing data.
Its worst price sits well over its optimum band. Coming down a tier or two usually grows total revenue, not the other way around.
Every price we read in the United States of America is a reference price. A reference price can't be off its own optimum, so it isn't in the findings above.
That's 97% 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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Your widely sold products, most prices outside their optimum band first.
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