App Store vs Google Play ASO: adapt your metadata

Port the product promise before porting the words

Start with a short statement about the task both builds support. Include the action, the visible result and any boundary a new user needs to understand. A lending notebook records who borrowed a book; it is not automatically a reminder service or a library catalog. That shared task can survive a store change, while the sentence used to present it may need rewriting. Compare released behavior on iOS and Android before treating their feature lists as interchangeable.

The paired examples keep one product name and adapt the summary. Read the longer Play draft first, identify its central useful task and write a subtitle that preserves that task within the smaller field. Then read the shorter subtitle alone. If it has become vague after trimming, revise the phrase instead of removing enough letters to fit. An unchanged brand name is an editorial choice in these examples, not a naming recommendation or a trademark clearance.

Give each field a job instead of filling every available character

A short summary should make the initial promise understandable. The full description can explain the workflow, what the person supplies and what happens next. In the fictional practice notebook, a description adds writing and revisiting an exercise; it does not add listening analysis merely because the longer field has room. Leave unsupported benefits out of both stores. Review the beginning of a long description independently, since a reader may not expand or finish it.

Apple's product-page guidance treats keywords as a separate field and says promotional text does not affect search ranking. Keep the optional update copy useful to a reader rather than treating it as spare keyword storage. Google warns about repetitive or irrelevant keyword use in listing text. The field map is a drafting aid: it does not identify every store surface or tell you which search algorithm will prefer a phrase. Document relevance to the actual product before measuring demand with an appropriate source.

Run one mechanical review per store and per language

Each example contains two independent forms. A submission sends the chosen store and its entered fields to the metadata checker. The published original count does not change while you type; submit to obtain a fresh count. The iOS keyword draft starts blank because the fictional examples supply no keyword research. A blank field remains a visible unfinished task. The Android draft includes a short full description so you can inspect how the supporting explanation relates to its summary.

The checker counts Unicode code points, and the iOS keyword review also reports UTF-8 bytes. Apple's product-page guide describes 100 characters total; its App Store Connect field reference specifies up to 100 bytes. The checker uses a conservative UTF-8 byte check and shows both counts. Validate your exact text in the console. Spaces, punctuation and translated wording can change the draft's count. Review each localization separately, including whether captions and the first useful in-app journey support the localized promise. A matching text count does not settle relevance or store acceptance.

Keep the two listings and their outcomes in separate records

Save the exact text, release version, locale and destination beside a dated observation. One shared spreadsheet can hold the two stores, but use separate rows so a later edit does not overwrite the earlier iOS or Android draft. Add the screenshot or preview version that accompanied each listing. If a build does not yet support the demonstrated action, leave that gap visible before publication. You can test whether a new reader understands a draft without claiming it has already improved acquisition.

When reviewing later performance, keep the store's report definition, period and filters with the numbers. Do not merge unlike opportunities and outcomes into a cross-store conversion rate simply because both are labeled views or downloads. A change in source mix, release behavior or audience can happen alongside a metadata edit. Use the appropriate store experiment workflow for a test decision and preserve unanswered questions. Comparing listing drafts helps coordinate the work; ranking and acquisition conclusions require evidence from the actual store and audience.

Your next steps

• Write the task both released builds support before adapting the wording.
• Give the summary, description and keyword research separate jobs.
• Submit one metadata check per store and validate the exact locale in its console.
• Keep versions, assets and later report definitions with each listing record.