JD Sports is an established actor in the sports apparel market. It’s doing fairly well for itself, but it seems its app is causing some grief for its users. Reports of crashes are common in Google Play Store reviews. That, and other problems, are causing JD Sports average grade to plummet.
Why do we say this?
The issues that are causing JD sports grade to tank become apparent in our analysis. We can say this because the analysis singles out three topics that are correlating to negative grades. The topics in question are “keeps”,
“payment” and “time”. They all play a different role in lowering the overall grade, so let’s look at them one by one.
First off, the topic “keeps”. It has a below-average grade of 1,64 / 5. This topic tells its story through the topics that it’s mentioned in combination with. In addition to having a negative influence by itself, the negative trend intensifies when it’s used in combination with some other topics. What we can see is that “keeps” is in bad company when it’s next to “closing” and “crashing”. This in effect explains the topic: reviewers give bad reviews because the app keeps crashing and closing.
The second topic that’s causing negativity is “payment”. As with the previous topic, it has a below-average grade of 2,21 / 5. However, we don’t think as much analysis is needed for this topic. Reviewers simply seem to dislike or take issue with how payments work.
The final topic we mentioned is “time”. A fairly general word to analyze but let’s look at the related topics for this one. It is often used in combination with the topics “order”, “delivery”, and “payment”. This seems to suggest that all of those operations take too much time to perform. In turn, reviewers give bad reviews containing the topic “time”.
JD Sports looks like it’s struggling with making its app run properly. Users are reporting crashes and that is probably what makes them give negative reviews. If JD Sports wants to catch up in the apparel market, we recommend that it increases app stability.
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The research team at Gavagai performed this analysis using our AI-powered text analysis tool, Gavagai Explorer. All texts analyzed in this article are collected from public online data published on Google Play Store.
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