Is Numbers: crie planilhas Legit & Safe?
With 4.8 stars across 26,909 ratings, Numbers: crie planilhas is an established app on the App Store. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public App Store data and user reviews. Not affiliated with Apple.
What users complain about in Numbers: crie planilhas
Users frequently complain about the app's lack of essential features like pivot tables and Vlookup, its unintuitive and cumbersome interface, and persistent issues with crashes, data loss, and freezing. Many also express frustration with frequent update interruptions and prompts for feedback.
Summarized from 227 recent 1-3 star reviews.
Numbers: crie planilhas: frequently asked questions
Is Numbers: crie planilhas legit?
Numbers: crie planilhas is a legitimate app listed on the App Store with a 4.8 star rating from 26,909 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is Numbers: crie planilhas safe to download?
Numbers: crie planilhas is distributed through the official App Store, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is Numbers: crie planilhas a scam?
Numbers: crie planilhas is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does Numbers: crie planilhas have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download Numbers: crie planilhas?
For most users, Numbers: crie planilhas is a safe choice given its 4.8 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.