Direct answer
Most metadata rejections are predictable, which means they are preventable in review rather than negotiable after submission. The recurring causes cluster into five groups: claims the app cannot demonstrate (performance superlatives, medical or financial promises, "best" language), references to other platforms or to prices that do not match the storefront, screenshots that show content the app does not contain or devices it does not run on, keyword-field violations (competitor brand names, trademarked terms, irrelevant celebrity or app names), and placeholder or inconsistent text left over from drafts. A pre-submission metadata pass that checks these five groups against the current build catches the majority of rejections before Apple does. When a rejection still lands, respond by mapping the cited guideline to the exact asset and fixing the class of problem across all locales — resubmitting with one word changed invites the next rejection.
The five recurring rejection groups
| Group | Typical trigger | Cheap prevention |
|---|---|---|
| Unsupportable claims | "fastest", "#1", medical/financial promises | Claim audit against demonstrable features |
| Platform and price references | "also on Android", "$2 off this week" | Storefront-neutral copy; no volatile prices in metadata |
| Misleading screenshots | Features not in the build, wrong device frames | Screenshot QA against the release candidate |
| Keyword violations | Competitor brands, trademarks, irrelevant terms | Keyword-field audit with a banned-terms list |
| Draft residue | Placeholder text, mismatched names, lorem ipsum | Final consistency pass across all fields and locales |
Recommended flow
1. Audit claims against what the build can demonstrate
Every superlative and promise in the title, subtitle, description, and screenshots should map to something a reviewer can verify inside the app. If the claim needs a footnote or a benchmark you cannot show, soften it before Apple asks you to.
2. Strip cross-platform and pricing references
Metadata mentioning other platforms, other stores, or specific prices that can drift from storefront pricing is a classic rejection. Keep offers in in-app content where they can be updated without review.
3. QA screenshots against the release candidate
Screenshots must show the app being submitted — current UI, real features, correct device class. Marketing frames are fine; invented screens are not. This check belongs to the same person who verified the claims.
4. Audit the keyword field with a banned-terms list
Competitor app names, trademarked brands, and irrelevant high-traffic terms are rejection triggers and, even when they slip through, poor-converting traffic. Maintain a written list of terms the team never uses and check the field against it each release.
5. Run one final consistency pass across locales
Rejections often cite the locale nobody re-read: an old app name in the Chinese subtitle, placeholder text in a promotional field. Every locale ships as reviewed metadata, so every locale gets the same final pass.
6. When rejected, fix the class, not the instance
Read the cited guideline, find every asset and locale with the same problem class, and fix them together. Reviewers see resubmissions in context; repeated near-identical rejections extend review cycles and attention on the account.
Common failure modes
Treating rejection as negotiation
Appeals have their place for genuine misreadings, but arguing about a claim the app cannot demonstrate spends days losing an argument the metadata pass would have won in minutes.
Fixing only the cited locale
Apple cites one example, not an inventory. If the English subtitle overclaimed, check what the Chinese subtitle says before resubmitting.
Letting marketing edit metadata after QA
The post-QA "quick wording improvement" is a recurring source of unsupportable claims. Metadata freezes with the release candidate; late edits reopen review.
Pre-submission metadata checklist
- Every claim maps to a demonstrable feature in the release candidate.
- No references to other platforms, stores, or volatile prices.
- Screenshots show the submitted build on correct device classes.
- Keyword field checked against the banned-terms list.
- All locales passed the same consistency review.
- Metadata frozen with the release candidate — no post-QA edits.
Operating rule
A rejection you could have predicted is a review-process gap, not bad luck. After every rejection, add the trigger to the pre-submission checklist so the same class never lands twice.
Why this matters in App Store Helper
App Store Helper keeps metadata, screenshots, and their review state in one project, so the pre-submission pass runs against the same assets that will be uploaded — with bilingual fields side by side, claim edits tracked, and a frozen review checkpoint before submission that makes late unreviewed edits visible instead of silent.