Analyzing the Distribution of Problems in Competition Reviews
In the highly competitive world of mobile app development, it is essential to stay ahead of the curve in terms of optimization and marketing strategies using best app store optimization tools. One key area of focus is understanding the common problems and complaints of competitors' app reviews, in order to improve upon and address those issues in your own app. With the use of ASO tools like SerpApi's Apple App Store Search Scraper API and Apple App Store Reviews Scraper API, as well as Natural Language Processing models such as facebook/bart-large-mnli and bert-large-uncased-whole-word-masking-finetuned-squad, we can analyze the distribution of problems in competition's reviews and gain valuable insights for our own app optimization which could potentially increase download an install rate, the conversion rate from your competition, give key ideas on your app marketing, boost your app visibility, and many more KPI objectives you can achieve with app analytics. You can find the full code at the end of this page.
SerpApi’s Apple App Store Search Scraper API is a tool used for gathering in-depth metrics, keyword rankings, the number of app downloads, and much more details of an app in the iOS App Store, or Mac App Store. It is an essential tool for keyword tracking and gives you a good insight into how App Store’s ranking algorithm works. The first step we will use in creating this code is the process is to gather the product IDs of apps related to our search term, using the Apple App Store Search Scraper API. This can be done with the following code snippet:
