If you have an app, then you know how important user reviews are to your product development. The personalized feedback can empower your team to build apps your users need and create experiences that keep them coming back. But many teams struggle to find a scalable way to analyze all of their reviews, or extract actionable insights from them. This clouds strategy and creates unnecessary roadblocks.
To solve these challenges, we’re excited to announce Review Text Analysis — a powerful new feature built to arm your team with actionable user insights, so you can focus on the work that matters.
Less Time, More Answers
Review Text Analysis uses natural language processing to analyze over 1.5 billion app reviews. That’s 1.5 billion personal takes on your product or your competitors’ products, which you can investigate by sentiment, intent, and keywords. Even better, it’s all laid out in an easy-to-use one-stop shop. You can slice and dice your user reviews using 3 different views:
Intent is one of the most critical elements of a review. It’s what drives the user to create the review in the first place. Whether it’s a performance issue or feature request, this information is far more powerful (and actionable) than a simple numerical rating.
Review Analysis allows you to closely monitor the topics and intents users are proactively talking about. Plus, Identify trends and address them before they grow into a larger problem.
Benchmark against the market — Our performance estimates allow you to benchmark your app, measure the success of a new feature, or scout viable mobile partners. Now, with Review Text Analysis, you can take all of those capabilities to the next level.
Instead of making assumptions about your users’ experiences, you’ll know exactly what they’re saying about your product and your competitors’. By knowing what’s most important to them, you can stay at the forefront of your market. And with our built-in benchmark feature, you’ll never have to guess where you stand.
Advanced Review Discovery
Looking through tens of thousands of reviews and trying to derive insights from them can seem like a daunting task. That’s why we built in advanced filtering capabilities, to allow you to filter through the unnecessary clutter and quickly focus on the reviews that are most relevant to your research.
Finding the reviews with the insights you need has never been easier. Filtering by intent and sentiment will allow you to prioritize your development needs and focus solely on the project at hand. You can also text search for literally any word(s) you want to find reviews which fit your exact interests. Our NLP Algorithms identify the most impactful and most consistently used keywords.
Review Text Analysis in action
Let’s take a look at Allstate. On April 7, the app experienced a spike in downloads, which resulted in a spike in reviews. At a glance, ‘Performance & Bugs’ and ‘Design’ appeared to be the top concerns.
Reviews indicate that Allstate started issuing policyholders refunds to address the recent decline in driving and accidents due to social distancing. Refunds were only available through their mobile app, which explains the high uptick in downloads. While many users were happy to get refunds and left positive reviews, many had technical issues, too.
Using our new features, Allstate can understand the impact of their refund campaign in great detail, and determine which features need upgrades. They’ll even be able to respond to their users directly from our web tool. With less barriers between your brand and your consumer, we’ll help you increase user retention and engagement.
Better Results with Apptopia Review Analysis
Your customers should be at the forefront of all of your decisions. Now, they can be, with zero extra hassle. Review Analysis makes it easy to cut through the noise and find exactly the insights you’re looking for.
Keep your finger on the pulse of your business - get started with Review Text Analysis today.