Tags help you organize and analyze user feedback so you can quickly spot recurring themes in your app reviews. With automation powered by AI, you can tag reviews at scale with minimal manual work.

In the Tag Automation section, you can automatically assign tags to your app reviews. This helps you categorize large volumes of feedback and uncover patterns across markets in seconds.

You can choose between three ways to automate tagging. For the most complete insights, AI tagging is the recommended method.

AppTweak’s AI automatically tags your reviews using a library of 200+ common feedback themes — no manual tags required.

You can refine the tag automation by applying filters such as language or country to focus on specific markets.

💡 Once enabled, AppTweak will tag both new and existing reviews within 24 hours, and update the tags daily. Then, you can use the Tag Analysis to get a complete view of trends in user feedback.

The automation rules you create will appear in a table, where you can review, edit, or duplicate each automation.

AI-generated tags will appear below your custom tags.

💡 Use AI tagging for the fastest and most comprehensive way to categorize reviews and understand what users are saying.

If you want to create tags based on specific keywords or filters, you can set up custom rules in the Tag Automation section.

These rules automatically apply tags to reviews that meet your conditions — for example, reviews mentioning a particular word, written in a specific language, or rated below a certain score.

AppTweak automatically translates your keyword conditions across languages, so the same rule works globally.

💡 Custom tag automation rules let you track specific topics or signals you want to monitor closely.

Templates are pre-filled examples for specific review themes you want to monitor — such as feature requests, negative reviews, or app updates.

Each template includes suggested keywords linked to that topic, so you can easily apply or adapt them to your own tagging logic.

💡 Use templates when you want to track a specific theme consistently.

You can also assign tags manually when you want to label individual reviews that fall outside your automated rules.

Once applied, the tag will be linked to the review.

You can filter reviews by tag and save this as a view — for example, to view or reply to all reviews marked as feature request. The KPI bar automatically updates based on your selected tags, providing quick insights into that topic.

💡 If you filter by two tags, you’ll see all reviews that include either one or both tags.

Once your reviews are tagged — either automatically or manually — you can use Tag Analysis to turn that feedback into insights that inform product, marketing, and support decisions.

Tag Analysis helps you:

The Tag Analysis dashboard shows data from the past 90 days, with growth indicators compared to the previous 90-day period, so you can see whether trends are improving or declining.

You’ll see:

Below, two charts help you dive deeper:

Switch to the average rating view to instantly see whether feedback under each tag is trending positively or negatively.

💡 Use Tag Analysis to connect qualitative feedback with quantitative trends — so you can understand what’s changing, why it matters, and how to act on it.

The Tags section is where you can view, edit, or organize all the tags used in the App Review Manager. It helps you keep your tagging system structured, consistent, and easy to analyze over time.

Each tag listed here includes key metrics to help you evaluate its impact:

You can:

💡 Use this section to maintain consistency and avoid duplicate tags, so your feedback data stays clean and meaningful.

If you've created many tags, use folders to keep them organized by theme or purpose.

In the Folders sub-section, you can group related tags — for example:

Once folders are set up, you’ll see them when adding tags to reviews, making it easier to find and apply the right one.

💡 Folders help teams manage complex tagging systems efficiently, so insights remain easy to navigate even at scale.