The 'Groww Stocks, Mutual Fund, IPO' app has received a mix of positive and negative feedback from users. Many users praise its user-friendly interface and convenience in financial management, highlighting features that simplify investment processes. However, there are notable concerns, particularly regarding customer service responsiveness and issues with bank verification, which some users find frustrating. Requests for additional features, such as basket trading and stop-loss settings, indicate areas for improvement. While most reviews are favorable, the presence of unresolved technical issues and service complaints suggests that the app needs enhancements to fully meet user expectations.
Source: Google Play Reviews of Groww Stocks, Mutual Fund, IPOStarting 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 Groww App feedback covering usability, service, and improvement suggestions. Ideal for finance pros.
Good app but try to improve for basket trading and sajetion for stock Markets gainers and losers
Very good and user friendly experience
My bank verification is failed in this application, even every details filled are correct .. but issue is not resolved yet.
From last week I am trying to contact them but no response from costumer service. I didn't not received my return from 8 oct 24 to till date. worst app this is.
The app is really good and has made financial management very convenient for me. The features and functionalities it provides is very easy to use. But there's a bug i have to address here. When we go to our profile then bank and mandates section, we can't see logos of some banks there. I can't also see the logo of my primary bank whereas secondary is visible. Please address this.
Stock me vii stop loss or target set karne ki system add karo
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 Groww Stocks, Mutual Fund, IPO based on online reviews collected from Google Play. The analysis helps Financial Analysts, Investment Advisors, Product Managers, Customer Experience Specialists, App Developers 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 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.