The reviews for the 'Nova Post' application highlight significant user dissatisfaction, especially regarding its performance and new design. Users frequently report issues such as slow loading times, frequent errors like the inability to access their accounts, and a lack of intuitive navigation. The removal of familiar features and the introduction of glitches have led many users to prefer the older version of the app. Concerns about customer service and the functionality of delivery options are also prevalent. Additionally, users express frustration over the application's competitive pricing strategies. Overall, while the app's potential is acknowledged, its current execution leaves much to be desired.
Source: App Store Reviews of Nova PostStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.
Explore in-depth analysis of Nova Post app reviews to unveil user dissatisfaction & improvement areas. Get your report now!
Пошук населеного пункту чутливий до регістра.
Функціонал ніби і класний, але. Ж боже яке воно все глючне, постійно висить, постійно тормозе. Користуватись просто неможливо. Жах
Пише, що оновлює дані про посилки і так постійно
Я у захваті від формулювання текстів для сповіщень.
Немає можливості відправляти від юридичної особи. При цьому є можливість отримувати на юр.особу. Логіка?
Не створюється відправлення з поштомату
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!See the similar customer feedback reports based on reviews from App Store and many other platforms.
Collect and centralize feedback.
Make sense of large-scale feedback.
Turn data into meaningful insights.
Find out how Kimola can improve your feedback analysis process.
Uncover customer needs, likes, and dislikes from product reviews and feedback.
Analyze customer reviews and ratings to optimize online shopping experiences.
Extract insights from social media conversations and online discussions.
Make sense of free-text survey responses with AI-powered analysis.
Understand customer sentiment and concerns from chat and call transcripts.
Identify workplace trends and employee sentiment from internal feedback and reviews.
This page displays purchase options and a preview of the customer feedback analysis report for Nova Post based on online reviews collected from App Store. The analysis helps Mobile App Developers, UI/UX Designers, Customer Service Managers, Product Managers, Digital Marketing 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.