Is Split by Finanzguru Legit & Safe?
With 4.8 stars across 1,262 ratings, Split by Finanzguru 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 dwins GmbH.
What users complain about in Split by Finanzguru
Users report issues with incorrect calculations and expense tracking in groups, especially with larger groups. Many complain about missing features like offline use, support for all currencies, and the ability to upload receipts. Integration with Finanzguru is appreciated but lacks functionality for refunds, fixed cost splits, and detailed statistics.
Summarized from 18 recent 1-3 star reviews.
Split by Finanzguru: frequently asked questions
Is Split by Finanzguru legit?
Split by Finanzguru is a legitimate app listed on the App Store with a 4.8 star rating from 1,262 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is Split by Finanzguru safe to download?
Split by Finanzguru 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 Split by Finanzguru a scam?
Split by Finanzguru 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 Split by Finanzguru 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 Split by Finanzguru?
For most users, Split by Finanzguru 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.