Making improvements to your product or services based on customer feedback takes a significant amount of time.
To understand your customer’s likes and dislikes, you will need to deep-dive through many reviews to get an overall idea of their opinions.
What is Sentiment Analysis?
What are some advantages of conducting Sentiment Analysis
How to leverage reviews and ratings left on Google Play and the App Store
How sentiment analysis can help consumer brands retain more customers
What is Sentiment Analysis?
Sentiment Analysis (also known as opinion mining) is a natural language processing approach for determining the positive, negative, or neutral nature of textual data. It is used to track brand and product sentiment in consumer feedback and better understand customer requirements.
Sentiment Analysis is an automatic process that analyses textual data derived from reviews, social media comments, long and short-form posts, and more. Conducting Sentiment Analysis on qualitative data allows you to extract valuable information, thus making it quantitative.
What are the advantages of Sentiment Analysis?
Improve the timeliness and efficiency of analyzing data at a large scale.
Helps mobile brands make better-informed decisions on appreciated features by consumers and ones that are not.
Enables brands to understand issues in real-time.
Explains emotions one-dimensionally, thus preventing them from being perceived differently by each person.
How can you leverage reviews and ratings on the Google Play Store and the App Store?
As you're already aware, your customers can rate your mobile app between 1 to 5 stars on Google Play and the App Store, depending on their opinions and preferences. They are only allowed to rate an app once but can update or change their ratings and reviews as they see fit.
Both Google Play and the App Store allow you to reply to the reviews to create a better user experience. If the review can be addressed and resolved, it might lead to a user improving their review, thus improving the sense of loyalty of the user. If the messaging is kept consistent on all platforms, it will enhance your business’s retention rates. The tricky part of keeping track of the reviews and ratings is that for a developer to understand and analyze such vast quantities of unorganized data, it takes quite a bit of time.
Here is where the concept of Sentiment Analysis comes into play.
How to conduct Sentiment Analysis
Let's show you how you can conduct Sentiment Analysis by taking the example of positive and negative analysis with Swiggy, India's leading on-demand food delivery platform. The app has an average rating of 4.2 on the Google Play Store.
An integral part of Swiggy’s app marketing strategy involves consistently replying to their customers’ reviews and ensuring that their customer success team resolves any issues that appear via email.
Most Negative Keywords
Let’s analyze the most frequently used negative keywords in Swiggy’s reviews and rating section. We get an overall view that helps us understand customers’ negative sentiments towards specific features of the app.
Negative keyword analysis for Swiggy
While at first glance negative reviews often appear to be harmful, they provide valuable insight into why a customer would leave your app.
Understanding the most common customer pain points allows you to address them, making it an integral step towards improving user retention.
Remember to respond to these customers. It's critical not to disregard unfavorable feedback. You may respond to any review straight from the AppTweak interface. Responding to your users demonstrates to other potential consumers that you value your customers' input.
Sentiment Analysis aims to reduce the time needed to identify potential issues that may lead to a drop in visibility and downloads. It is a proactive approach to a root-cause analysis that can save time, energy, and money. When allowed to exist and build, negative sentiments can impact an app’s visibility and rank on specific keywords and throughout the store.