How important is review tagging?

Go to the profile of Olivia Doboaca
Olivia Doboaca
How important is review tagging?

Table of Content:

  1. A short intro to feedback analysis
  2. Tagging reviews with AppFollow
    • Manual tags
    • Auto-tags
    • Reply to reviews with the help of AI
  3. Afterword
  4. FAQ
    • Is feedback analysis useful for app performance?
    • What are the benefits of using AppFollow for review tagging?
    • Can AppFollow help respond to user reviews?

What users say has so much potential sway over an app’s future. Choose not to listen—your app’s reputation tanks, you push forward bad updates, and money’s drying out. Do the opposite, and you’ll find interesting new things to implement and gain a following of fans instead of just users. That’s right, throwing time, sweat, and cash at something nobody wants is a fast track to nowhere.

The problem with the correct approach (aka “just listen!”), is that it’ll make your app popular, you’ll have more users, and that means more feedback. Making sense of it is where the wheels fall off. You're drowning in a sea of blah without feedback analysis.

The answer (among other things) is AppFollow’s review tagging. In this piece, we'll check out the different flavors of review tagging and how AppFollow can turn your feedback game from meh to wow for your mobile app.

Review tags can and will affect some very important KPIs in your strategy. Which? Find out in our latest industry report!

A short intro to feedback analysis

First things first, let’s get something clear: playing around with review tagging is a piece of the larger puzzle, called feedback analysis. Feedback comes in many forms, and most of the time, it’s a lot of things to process.

Cutting through this chaos is where feedback analysis waltzs in. Spotting the patterns in the madness, the repeat gripes, and the wishlist items that keep popping up—that sort of thing. It can be instrumental in steering the roadmap of your app.

Thus, feedback analysis (and review tagging as part of it) is your reality check for what's actually happening on the ground. It makes you smarter about where to invest your energy (and cash), boosts customer stickiness because they see you're actually listening, and, jackpot—it uncovers those golden ideas for new features that could open new revenue streams.

So how do you wrestle this beast? Go old school and DIY with spreadsheets, categorizing feedback by hand, or get with the times and let AI-driven tools do the heavy lifting? The answer is simple. Let’s take a look at the review tagging a bit closer.

cta_learn_more_ai_purple

Tagging reviews with AppFollow

Tags are your best friends for feedback analysis—sort the chaos into neat piles of "what's what" and "who's who." Got feedback? Slap a tag on it. Whether it's praise, a bug, or just someone venting, tags help you see patterns without losing your mind.

Naturally, the first step would be to determine if you want to participate yourself or let the machine do its thing. Let’s pretend we’ll do it ourselves, because why not? Try anything once.

Manual tags

With AppFollow, pretty much anyone with a pulse and access to your system can manage tags. They’re important like that. Admins, support managers, even your Aunt Sally if she's got the right permissions.

Creating tags is easy: pick a name, a color that pops, and if you're feeling fancy, lump it into a category for even easier sorting. You can do that from your dashboard or right when you're replying to reviews.

When the time comes to shake things up or trim the fat, editing or axing tags is just a click away. Got a bunch of tags from another system? Drag them into AppFollow and keep the feedback train rolling. Using tags means turning a mess of reviews into actionable insights, spotting what's hot and what's not, and making sure you're not wasting time on the stuff that doesn't matter.

Naturally, you can also find the tags you’ve placed and filter by them.

It’s nice that you can do it by hand, of course. But who are we kidding, let’s have our AI overlords do our work for us instead—just as good, but 20x faster.

Auto-tags

Forget the manual slog. There's a way to slap tags on reviews without lifting a finger. We're talking Auto-tags—set 'em and forget 'em.

Here’s how you can do it with AppFollow: hit up the "Reply to Reviews" corner, find "Auto-tags," and press the "Add New Rule" button. If you're feeling fancy, name your rule; if not, just barrel ahead. Pick your conditions—the why and when for slapping on a tag automatically. Choose the tag to stick on those reviews that fit your criteria, then hit Save. Boom, you're done.

As soon as that’s done, the system will simply follow your instructions and execute. This Auto-tag automation checks in every 5 minutes, and then tags everything that falls under set criteria. Set it up once, and watch as it retroactively and proactively sorts your feedback from the last 48 hours and beyond.

Once you’ve started auto-tagging everything and easily categorizing any feedback, even if there are thousands of reviews coming in every day, there’s more!

demo_automate_support

Reply to reviews with the help of AI

So here’s the ultimate branching out of possibilities:

  • Manual tagging: find a review, tag it, analyze it, and respond to it.
  • Auto-tagging: set rules, get reviews tagged automatically, and respond to them. A lot more straightforward.
  • AI review responses: so instead of formulating a very elaborate text about a common issue, you can have AppFollow AI do it for you. Press the button, the answer is ready. Even faster now!
  • Automate everything: to be announced, but that’s the next big step. Review comes in, gets tagged, and receives a response if the rules apply. Hands-off, the whole process.

The latter seems rather nice, isn’t it? Imagine delivering customized, spot-on replies to user reviews, skyrocketing satisfaction, and loyalty without breaking a sweat. With this capability to process feedback at scale, you can hold meaningful conversations with your customers and check in from time to time, rather than monitor everything yourself 24/7.

And just to mention, if you’re worried about wonky responses, don’t: AppFollow can adapt to your brand’s voice, respond in all major languages, and have a good think before it does something. Try it for yourself—10 days on the house.

Pardon for self-promotion, but sometimes we do really want to say just how easy it is now to do something that required so much effort before.

Afterword

Tidy house, tidy mind, they say. Doesn’t really apply here, but categorization and careful management of user feedback can help make your review strategy infinitely more potent. The best thing—everything can be automated, and it’s no problem at all if AppFollow is involved.

FAQ

Is feedback analysis useful for app performance?

Feedback analysis, including review tagging, helps to identify patterns in user feedback, highlight areas for improvement, and spot new feature ideas. Acting on this feedback will help app developers like you increase user satisfaction, steer the product roadmap, and potentially open new revenue streams.

What are the benefits of using AppFollow for review tagging?

AppFollow automated review tagging. You can easily categorize feedback into actionable insights, prioritize development efforts, and respond to users faster. Auto-tags and AI-driven responses improve the process even more and make your review strategy infinitely scalable.

Can AppFollow help respond to user reviews?

By all means—AppFollow has manual and automated tools for review management available. You can categorize, analyze, and quickly respond to any kind of review. With AI review responses, you can provide instant replies tailored to each review.

Read other posts from our blog:

Introducing Custom Semantic Tags: Elevating Customer Feedback Analysis

Introducing Custom Semantic Tags: Elevating Customer Feedback Analysis

At AppFollow, our commitment to delivering top-notch solutions for customer feedback analysis has al...

Sveta Yurkevich
Sveta Yurkevich
Harnessing the power of AI for localization of reviews, ASO, and more.

Harnessing the power of AI for localization of reviews, ASO, and more.

Closing the language gap has never been easier. Check out how AI tools can help you translate your a...

Olivia Doboaca
Olivia Doboaca
How to establish an effective support strategy for finance apps

How to establish an effective support strategy for finance apps

Discover how fintech apps should be managing their support channels. Hint - the review section is wh...

Olivia Doboaca
Olivia Doboaca

React to user feedback and market trends faster