The user reviews of the Amazon shopping app highlight a mixed experience among customers. Positive feedback focuses on the app's user-friendly interface, efficient order processing, and competitive pricing, making it a preferred platform for online shopping. However, numerous complaints criticize the customer service, particularly regarding issues with refunds, product availability, and account management. Users expressed frustration over the lack of essential features like filtering gift card options and an adequate sorting mechanism for products. Additionally, concerns about unanticipated charges for Prime membership and inadequate handling of returns were prevalent. Overall, while Amazon is recognized for its product range and pricing, significant improvements in service quality and app functionality are necessary to enhance user satisfaction.
Source: App Store Reviews of Amazon - Shopping made easyStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.
Dive into our Amazon App feedback analysis for insights on user experience, service quality, and more.
Çok yorucu herşey gizli bir yerde yoruldum
Benim için en iyi e-ticaret platformu.
Temiz kitap gönderin lütfen
Geri iade yaptım 1,5 aydır para iadesi yok
Amazon la alışveriş çok rahat, hiç stres yok, keyifli , güvenli
Boykotlu olduğu için programı kaldırdım.
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 Amazon - Shopping made easy based on online reviews collected from App Store. The analysis helps E-commerce Managers, Product Managers, Customer Service Directors, Marketing Analysts, UX/UI Designers 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.