The SleepWatch app has received mixed feedback from users, highlighting both its strengths and weaknesses. Many appreciate its sleep tracking capabilities and the insights it provides, especially when paired with Apple devices. However, complaints about intrusive ads, a confusing user interface, and inaccuracy in tracking sleep duration and quality are prevalent. Users are frustrated by the push towards premium subscriptions and the removal of features without notice. Additionally, some experienced technical issues after updates, leading to inconsistencies in sleep data. Despite these challenges, some users find value in the app's recommendations and personalized feedback for improving sleep quality.
Source: App Store Reviews of SleepWatch - Top Sleep TrackerStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.
Explore our in-depth analysis of SleepWatch app reviews, uncovering user experiences, accuracy, and premium features.
The ads are obnoxious and will turn into videos or full screen popups. You have to exit the app when they pop up. It makes the app difficult to use
This app was okay before they started adding the ridiculously long ads. I also question the accuracy of the sleep tracking. I'll never buy one thing from any of your advertisers.
This would go days without tracking anything. Total garbage.
Tou have to pay to listen confidential sounds that this app records
I would really like an accurate sleep report but this isnât it. Reporting I am falling asleep routinely hours after I have been asleep and reporting I am waking up hours after I have been awake. Useless
Itâs a fine app but I will die on the hill that all subscription apps should die. Bought AutoSleep for $6 one time purchase if anyone else is sick of subscriptions which I know a lot of the general population is!
Have the complete report in your inbox with Excel, PDF and PowerPoint attachments. Need to play with the data? Enjoy our lightning-fast dashboard for further analysis.
One-time purchase without hidden or recurring costs!Every purchase starts a new scraping process, so you can have a report containing the analysis of the most recent reviews. It's fast, it's easy, and it brings you the most valuable form of customer feedback.
This page displays purchase options and a preview of the customer feedback analysis report for SleepWatch - Top Sleep Tracker based on online reviews collected from App Store. The analysis helps App Developers, Product Managers, Marketing Professionals, UX/UI Designers, Customer Support Specialists to discover insights into what people love, dislike, and need.
This report contains qualitative analysis with Net Promoter Score, Sentiment Analysis, content classification, most popular phrases, languages and a trend graph to display how the context changes over time. After purchasing the report, you can search in customer feedback and filter results based on classification labels and popular phrases. Also, the analysis is available in PDF and PowerPoint formats, and all the reviews are available in Excel.
Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media.
Yes, you can, and this is the fun part about Kimola! Kimola turns customer feedback into market research by analyzing online reviews from various sources.
Yes, you can have this research report analyzed with more reviews. The page you are viewing displays a limited preview with the analysis of 30 recent reviews. Starting from $18, you can buy the complete version of this research report containing all reviews. Click here to see the purchase options.
We would like to clarify that this product is not created by App Store and is not associated with or supported by App Store in any way.
As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to App Store's terms of use, including copyright regulations, when utilizing the extracted review data.