The reviews for the Applegreen Electric app highlight significant user frustrations, particularly related to account setup and charging functionality. Many users reported a cumbersome registration process requiring excessive personal information, and numerous attempts to charge their vehicles were met with failures and error messages. The app’s performance has been described as unreliable, with frequent crashes and issues with payment processing. Users expressed dissatisfaction with the physical charging stations, citing slow charging speeds and faulty equipment. Overall, the sentiment reflects a lack of confidence in both the app and the charging network, urging potential users to reconsider their options.
Source: Google Play Reviews of Applegreen ElectricStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.

Explore key user frustrations with Applegreen Electric app - insights into usability, payment, and charging station issues.
Won't reset my password. Doesn't take my card details. Was this app actually tested?
easy to use
Setup is horrible not customer orientated
Huge waste of time only to find the chargers didn't like my car. What a con!
Won't initiate charge
They want to sell you data to third parties.
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 Google Play 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 Applegreen Electric based on online reviews collected from Google Play. The analysis helps Product Managers, UX/UI Designers, Customer Experience Specialists, Marketing Strategists, Electric Vehicle Charging Providers to discover insights into what people love, dislike, and need.
This report contains qualitative analysis with 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 Google Play and is not associated with or supported by Google Play in any way.
As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Google Play's terms of use, including copyright regulations, when utilizing the extracted review data.
Product Feedback Analysis
E-commerce Feedback Analysis
Social Feedback Analysis
Open-ended Survey Analysis
Chatbot and Call Center Conversational Analysis
Employee Feedback Analysis