The reviews for 'Misli - İddaa Canlı Bahis' present a mixed picture of the platform. Users appreciate its fast performance, easy usability, and effective customer service, with many noting it as the best in terms of visual design among Turkish betting sites. However, common complaints involve technical issues such as notification sounds not functioning, problems with coupon processing, and a lack of promotional offers like bonus points. Some users express dissatisfaction with the odds and the betting system, while others highlight the enjoyable aspects of betting on the platform. The call for improvements, especially regarding dark mode and clearer information about sports events, indicates room for enhancement in user experience.
Source: App Store Reviews of Misli - İddaa Canlı BahisStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.
In-depth analysis of customer feedback for Misli - İddaa Canlı Bahis, covering pros & cons, user experience, and more.
Maçın geldiğini ben görüyörum siz dakkilarca saat gösteriyösunuz
Çıkışta kazandırdı daha ekmek var fenerde
Daha yeni üye oldum ama şuan iyi
Oranı yüksek gösterip vergiyi çok alıyorlar hiç beğenmedim
Kullanımı kolay, canlı maç özelliğini çok beğeniyorum.
Maçlar az bilgiler eksik keşkecanlı izleyebilsek oynadığımız maçları
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 Misli - İddaa Canlı Bahis based on online reviews collected from App Store. The analysis helps Product Managers, Marketing Specialists, User Experience Designers, Customer Support Managers, Betting Industry Analysts 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.