The H&M app receives mixed reviews with customers appreciating the easy and fast shopping experience, but expressing frustration over slow delivery times, technical issues, and limited features like favoriting items and leaving reviews. Users also mention difficulties in checking out, slow shipping, and problems with payment services like Klarna. Despite positive aspects like free delivery, quality products, and user-friendly navigation, the app still needs improvements in various areas to enhance customer satisfaction and loyalty.
Source: App Store Reviews of H&M - we love fashionStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.
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Klarna took my money but order didn’t go through. Had to pay in full because when I tried again it said my max amount of money to spend has been spent which is weird
Just love shopping with H&M so easy and quick. Would highly recommend it
Great app, easy to use and buy online! Also great shop!
Simple, fun and fast - quality fashionable and functional products at affordable prices.
App won’t work for me, can’t get in online just brings me to my app. 3 days I want to order and since I downloaded it dose not work
Love this app, my favorite retail app. Great goods, super reviews. Easy refunds and altogether just worth having it on your phone.
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This page displays purchase options and a preview of the customer feedback analysis report for H&M - we love fashion based on online reviews collected from App Store. The analysis helps Retail Managers, Marketing Professionals, Product Developers, Customer Experience Strategists, E-Commerce 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.
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