Fixing Your ASO to Compete Like the Biggest Apps

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Kicking Off the Live ASO Teardown

Ariel welcomes everyone to a brand new live ASO teardown, something that hasn't happened in about a month. It's been a busy time: Ariel keynoted at a conference, shipped a bunch of product work, and is now back on camera looking at your apps and figuring out how to make them better.

Even if your app wasn't picked, you can still learn from every app reviewed in this session—that’s the main goal.

Ariel keeps the usual live tradition: sharing what's in the cup and where everyone is tuning in from. Today it's Earl Grey tea in a brand new Appfigures mug with the new logo, broadcasting from a rainy, wintry New York City.

There are 10 apps lined up for review. Ariel isn’t sure all 10 will fit into this session but will try. There’s some live mic-adjusting and on-the-fly audio engineering as viewers report low volume, but once the microphone is fixed and everyone has reported their tea, coffee, and water, it's time to dive in.

Swag, Magnets, and How to Get One

Ariel shares a fun item from the recent conference: fridge magnets with the Appfigures logo. They were shown on X (Twitter), and people loved them and asked how to get one.

There are two versions:

To get a chance to receive a magnet by mail (no need to be an Appfigures member):

  1. Subscribe to the YouTube channel
  2. Like the video
  3. Leave a comment (not a live chat message) with your favorite color: orange or white

Later in the video Ariel plans to reveal a personal favorite but doesn’t want to bias anyone up front. A handful of winners will be picked at random from the comments, depending on how many magnets are left from the conference.

The Big Apple Popularity Score Question

Before jumping into the apps, Ariel tackles a question from Philip about Apple’s popularity scores suddenly dropping to 5 for many keywords. No one seems sure whether it’s a bug or an intentional change.

Ariel explains the context:

Ariel’s interpretation (clearly labeled as speculation):

Ariel’s guidance for now:

In short: hang tight and don’t overreact to the temporary 5s.

Who Ariel Is and What This Session Is About

For anyone new to the stream, Ariel introduces himself:

There’s also a teaser for the next live stream:

For today, the goal is to:

Core ASO Concepts Ariel Will Use Repeatedly

Before diving into specific apps, Ariel lays out the foundational concepts that repeatedly show up in the teardowns:

  1. The Algorithm Reads Left to Right

  2. Don’t Overload the Title and Subtitle

  3. Ratings Are the Currency of ASO

  4. Target Realistic Keywords (Opportunities)

  5. Use Keyword Inspector (Appfigures Tool)

  6. Screenshots Now Matter for Indexing

  7. Descriptions on iOS Don’t Matter for ASO (So Far)

These principles guide every teardown that follows.

App 1: FLAC, MP3 Player, Offline Music

Title/Subtitles Example:

FLAC, MP3 player, offline music, song playlist, play audio files

Ariel’s first impression:

Problem: Too Many Keywords in the Title

Ariel explains why this is bad:

Ariel compares it to a competitor focusing on “offline music player” in a very clean title:

Given Apple’s left-to-right weighting, this app’s title is especially weak because:

Ratings Situation

What To Do With Low Ratings

Ariel outlines two main strategies:

  1. Get More Ratings

  2. Target Easier Keywords (Opportunities)

Using Keyword Inspector

Ariel demonstrates a workflow:

Screenshots and Apple’s OCR

Ariel reminds that Apple reads the text in screenshots:

Summary for This App

Key actions Ariel recommends:

App 2: Health Widget – Steps, O2, and More

Title:

Health widget – my fit widget, walking count, and blood oxygen

Ariel’s first read:

Checking Keyword Popularity

Ariel checks health widget:

He also checks health alone:

Understand the Real User Intent

Ariel looks at the screenshots and metadata and recognizes a focus on steps and activity (walking count, steps, blood oxygen with Apple Watch, etc.).

Instead of aiming for vague concepts like health widget, the app should target search intents like:

Finding Opportunities: Step-Related Keywords

Ariel experiments in Keyword Inspector:

He zeroes in on step tracker:

If the health widget app can:

…then it stands a better chance at ranking for a keyword that has real user demand.

Ratings and Reality Check

Ariel opens the Appfigures ratings chart:

So the realistic strategy remains:

Screenshots and Positioning Against Apple Health

The screenshots show:

Ariel’s suggestion:

Also, just like before, make sure the keywords you want to rank for (e.g., step tracker, steps, widget) appear in the first few screenshots.

Audience Q&A: Difficulty, Indexing, and Ratings

Ariel pauses to take live questions from the chat. Here are the main topics and answers.

Q: What Difficulty Score Should an Indie Aim For?

Question from Sigar: In Appfigures’ difficulty score, what level should an indie dev (relying only on organic content and weekly app updates) aim to stay under?

Ariel’s answer:

Appfigures plans to introduce more metrics to make this simpler, but for now, it’s a contextual decision, not a fixed threshold.

Q: Do Metadata Changes Hurt Impressions Temporarily?

Question from Rishi: Do changes to metadata (title, subtitle, keyword list) trigger a re-index that reduces impressions for a few weeks?

Ariel’s answer:

Advice:

Q: Downloads per Rating by Version?

Question: Is there a way in Appfigures to track downloads per rating by app version?

Ariel’s answer:

Q: Best Ad Channel for Farming Ratings: Apple, Meta, or Google?

Question from Leonora: To farm ratings, is it better to run ads on Apple Search Ads, Meta, Google, or something else?

Ariel’s answer:

In all cases, ratings come from how you handle users inside the app:

No ad channel guarantees ratings; the key is optimizing the in-app experience and prompts so that acquired users are likely to rate.

Q: Does Putting the App Name First Still Matter?

Someone mentions seeing a post on X (Twitter) claiming that putting the app’s brand name first in the title doesn’t matter anymore.

Ariel’s response:

Ariel also uses this as an occasion to rant a bit about X:

The takeaway:

Q: Keyword Density in Google Play Descriptions

Question from Sigar: For Google Play, what keyword density should we target in the long description (2–3% for important ones)?

Ariel’s answer:

Appfigures has a Keyword Density tool (free):

Q: Ideal Time Between Metadata Changes

Rishi shares specifics of changing an app’s name and keywords on these dates:

And then seeing impressions drop.

Ariel’s assessment:

Guidance:

App 3: Minglify – Video Dating / Video Chat

Visible name string:

Video dating, video chat, chat, cam surf, talk to girls

And the actual brand appears to be Minglify, though it’s not visible in the App Store name field in this capture.

Immediate Issues

  1. No Clear App Name in the Title

  2. Keyword Stuffing Again

  3. Super Competitive Space

Strategy Problem: Generic Dating vs. Niche

Checking Keywords

Ariel examines:

Right now, the app is trying to be about:

…all in the same title. Ariel suggests:

Screenshots and Video

Positive notes:

But the core problem remains:

Ariel’s advice:

App 4: PDF Converter / Scanner

Title snippet:

Convert to PDF photos, snap scan, JPEG converter, scan documents

Ariel’s reaction:

Title Issues

Icon and Positioning

Keyword Research: PDF Scanner vs. Scan to PDF

Ariel checks:

Ariel notes:

Strategy for This App

Screenshots: Good for ASO, Weak for Conversion

The screenshots do:

But from a user perspective:

Ariel recommends:

App 5: Cat Allergy Buddy – AI Tracker

Title snippet:

Cat allergy, go away – cat allergy buddy AI tracker

Ariel identifies two big issues here.

1. Claiming “#1” Without Proof

The first screenshot claims something like:

#1 cat allergy management app

Ariel’s reaction:

Advice:

2. Adding “AI” to Everything

The visible title includes “AI tracker”.

Ariel’s concern:

He checks AI tracker and sees:

So, the cat allergy app is:

Real Problem: Targeting the Wrong Intent

Ariel tries cat allergy:

So effectively all of these words:

…are either too niche, too generic, or misaligned with what users actually search for.

What Should This App Target?

Ariel doesn’t know the cat allergy niche deeply, so he turns it back to the developer:

He suggests identifying:

Once that’s clear:

More Q&A: Countries, Competition, and Repetition

Ariel returns to more chat questions.

Q: Should I Focus Ads on One Country to Get Ratings?

Leonardo asks whether it’s better to focus ads on a single country to get ratings, or spread across multiple countries.

Ariel’s answer:

Practical takeaway:

Q: High Difficulty but Competitors Aren’t Targeting the Keyword. Worth It?

Leonardo also asks: If the competitiveness score is high but competitors are not using the keyword in their visible metadata, is it still viable to target that keyword?

Ariel’s answer:

Q: Can Repetition Hurt Rankings?

Question from “Blood”: Can repeating keywords hurt rankings? For example, if the title has car tracker, and the keyword field also has audio car tracker, does that hurt if the goal is to focus on a few keywords?

Ariel’s answer:

Where repetition does help:

App 6: Mommy – Postpartum Support for Moms

Title snippet:

Mommy postpartum – postpartum depression, mood and sleep tracker for moms

Ariel’s take:

Title Ordering

Popularity Check

Problem: Keywords Either Too Generic or Too Specific

Similar to the cat allergy app, this app may be targeting keywords that are:

Ariel suggests:

Then:

Screenshots and “#1 App for Moms” Claim

Ariel notices a first screenshot claiming:

The number one app for moms

His reaction is similar to the cat allergy app:

A better approach:

The rest of the screenshots:

This is good for Apple’s OCR.

Main improvement areas:

App 7: AI Game Master – Dungeon RPG Text Adventure

Title snippet:

AI Game Master – dungeon RPG role playing text adventure

This is a game app with a decent number of ratings.

Ariel’s reaction:

Keyword Check

Ariel looks at dungeon RPG:

Ariel suspects:

Ratings

He checks ratings in Appfigures:

Screenshots and Messaging

The app mentions being powered by GPT-4 in the screenshots.

Ariel’s view:

He suggests focusing on:

Ariel notes this app would require more time to fully analyze. He invites the developer (and some others) to request a standalone video if they want a deeper dive:

Closing Notes and Upcoming Content

As time runs out, Ariel wraps up:

For ongoing questions or help:

Ariel signs off by reminding viewers:

And with that, Ariel closes the live ASO teardown and promises to see everyone in the next one.

This transcript was generated and enhanced by AI and may differ from the original video.

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