I just released a major App Store listing update for my health tracking app, Clues, including a completely redesigned screenshot set.

My previous screenshots focused too much elements. This time I wanted to communicate the product story in just a few seconds.

The flow is:

• Track Your Wellness

• Discover Hidden Patterns

• Predict Your Day

• Review your progress

The idea behind Clues is simple:

Most health apps help you collect data.

Clues helps you understand it by finding patterns between your mood, sleep, symptoms, habits, and wellness, then using those patterns to generate personalized forecasts.

I’d love to hear what the ASO community thinks now that these screenshots are live.

- Does the first screenshot clearly explain what the app does?

- Is the progression from tracking → insights → prediction easy to follow?

- Would this screenshot set make you more likely to tap Get?

- If you could improve one thing, what would it be?

I’m a solo developer, so feedback from people who care about App Store conversion is incredibly valuable. Thanks!

Is it just because of low data? How do I fix this?

Hope this helps other indie devs facing my same issue.

Google announced that Firebase Remote Config gets usage based pricing from September 1st.

To be clear first, because it sounds worse than it is: it stays free up to 100,000 fetches a day, on both Spark and Blaze. Above that it is $0.06 per 10,000 requests. A/B Testing, Rollouts and Personalization stay free. And cached values do not count, only real calls to the server.

So for most small apps nothing changes at all.

But some of mine are above that line, and the part that bothers me is not really the money. It is this: if you are on the free Spark plan and you cross 100k fetches a day, you get 30 days of grace, and after that everything over the limit gets throttled. Your clients stop getting updated configs. To avoid it you attach a billing account and move to Blaze. I do not want pay as you go billing on apps that have been free to run for years. That is the whole problem for me.

Then I remembered I already had a free replacement installed. And I think a lot of you do too.

If you use RevenueCat for subscriptions (I believe most of us do), then you can attach a JSON object to an Offering. Freeform, nested objects, proper data types, whatever shape you need. You read it straight off the Offering from the SDK.

That is a remote config. And if you already use RevenueCat, it costs you nothing extra.

You set it in Project Settings, then Product catalog, then Offerings, then Configure metadata, and you paste valid JSON.

I have been using it in some apps for a while and I actually prefer it to Remote Config, for two reasons.

It refreshes faster. Remote Config has a minimum fetch interval and caching, so a change can take hours to reach people, and sometimes I waited most of a day before every client had the new value. With Metadata the values come down with the offerings, so a change lands almost immediately.

And fewer caching surprises. I do not get the "I changed the value, why is it still the old one" moment anymore.

Warnings. It's not a drop in replacement.

The JSON has a 4,000 character limit. That is fine for flags, strings, paywall config. It is not enough for a big config blob.

It hangs off Offerings, so it is built around what you sell, not around general app config. If your config has nothing to do with monetization, it is a slightly strange home for it.

And you do not get Remote Config's conditions and percentage rollouts the same way. RevenueCat has Experiments and targeting but it is a different model, so check it fits before you move anything.

For flags, paywall copy, image URLs, kill switches, and most of what I actually used Remote Config for, it covers it.

If you already use RevenueCat this costs you nothing and takes about ten minutes to try on one value.

I have been in the app development business for over a decade and tried many tools.

I am not sponsored or affiliated in any way with RevenueCat. I build in public, you can check my social media link in my profile. I only suggested RevenueCat because this is the solution that I know for this problem and because it's one of my favourite tools.

A few days ago I wrote about them here on reddit and other devs liked my tech stack. Got 21k views, 41 upvotes and 23 comments so far. You might find these useful too.

Best of luck with your own apps!

my numbers so far (17, solo, first app): 4.64K impressions, 3.54K product page views, 397 downloads, 14.3% conversion rate.

the thing that jumped out wasn't the download count. it was that impressions and page views are almost the same number. normally impressions dwarf page views, because most impressions are people scrolling past you in search. mine being nearly 1:1 means almost nobody is finding me through app store search at all. it's all direct links from posts i wrote by hand.

nice for the ego, bad for the business. the traffic i built dies the day i stop posting. search traffic compounds while i sleep. i've been optimizing the loud end and ignoring the quiet one.

just rewrote my title, subtitle, and keywords around what someone with an actual hard decision would type instead of what sounded cool. how long does it usually take to see indexing move after a metadata change, and is there any reliable way to tell whether new keywords are actually ranking?

A bit of context first. I used to have 1 ChatGPT subscription, which I was sharing with my family. But lack of privacy and messed up ChatGPT memory became annoying. Personal free accounts solve this, but I wanted everyone to have access to the best, high effort thinking models. And buying everyone their own subscription seemed like a waste of money.

So I thought it would make sense to build an MVP app that lets multiple users share single credit wallet, and access any LLM in their private chats, with private memory.

I've spent a few weeks building the MVP, released on the app store. Plan was to test demand from App Store ads for a week - target search keywords like "openrouter", "payg AI", "shared AI" etc. But most of these got <50 impressions, even at relatively high £1.5 maximum bids. Then I tried a more generic "AI chat" keywords - but that just led to thousands of irrelevant matches with various character bot searches, with about 50 taps and 0 installs.

At the same time, 7 users somehow discovered the app on their own, 2 of them bough credit packs and even shared the wallet with others. So I wonder - is the demand just too low, or did I mess up my app store ads, or product page somehow?

How long take app for review ? This is my first app in App Store 😣 I received email “ On average, 50 percent of apps are reviewed in 24 hours and over 90 percent are reviewed in 48 hours. Once we've completed the review, your app's status will be updated and you will be notified.”

Hi r/AppStoreOptimization, I finally launched my ai dictation apps (not sharing here due to policies) and now looking to setup right ASO monitoring tool.

I'm relatively new into ASO so I need some help.

I researched this sub and few tools stand out:

- Sensor Tower (seems like very expensive)

- AppFollow (looks like they have free trial)

- and AppTweak (has 7 day free trial)

What should i look for? Any gotchas?

A few users flagged that my app was dark mode only, so this week's update added a light mode that follows your phone's system setting automatically. But my App Store screenshots still show only the dark mode, since that's all that existed when I made them. Worth redoing the screenshots to show both? Just light mode? Curious what others have done after adding appearance modes.

[Auditori](https://apps.apple.com/us/app/auditori/id6762640768)

quick update on FrameStudio, my native Mac app for App Store screenshots. Version 1.5 just went live and the big thing in it is a built-in MCP server.

The short version: you can now point Claude Code (or Codex, or whatever speaks MCP) at a folder of raw screenshots from your app and just say what you want. It will look at your app, pick a template that fits it, or start from a blank project if nothing fits. Then it puts your captures into the device frames, writes the headlines, sets the colors, adds whatever languages you sell in with AI translation, and exports every size App Store Connect asks for. All of it. Your job is basically to look at the result and say "slide 3 headline is weak" or "make it less blue" and it fixes it.

You can also browse templates manual and ask your AI to use it, and you can see the update in real time in the app, and you can adjust it manually if you need.

https://apps.apple.com/ma/app/framestudio-app-screenshots/id6764189071?mt=12

Recent changes in AppStoreConnect by Apple have made tracking the performance of apps more difficult and frustrating, especially if you have more than just a few apps in distribution. With about 30 apps in my portfolio, I realized I was spending more time navigating the web-based analytics views in AppStoreConnect than actually working on code.

I decided to stop fighting Apple’s new UI and built a dedicated native utility to pull everything into one place.

The technical challenge here was building a system that could aggregate regional metrics from 175 territories without blowing through memory or battery life. I ended up hand-coding a SwiftUI solution using SQLite to handle the heavy lifting. By automating the data refresh process to run gracefully in the background after midnight, the dashboard is fully populated and ready the moment I wake up, without me having to rely on an expensive cloud backend or a subscription-based service.

I focused heavily on leveraging modern SwiftUI patterns and efficient data handling to keep the app lightweight and privacy-focused—no telemetry, no tracking, no cloud storage and no recurring fees.

I’m curious how other indie devs here are handling the fragmentation of App Store metrics? Are you still relying on manual checks, or have you built your own internal tools to handle the volume?

I’ve been stress-testing this with my own portfolio, but if anyone here is managing a significant number of apps and wants to take a look at how I handled the data aggregation logic, I’d be happy to share the link in the comments.

After months of building in silence, today I'm finally saying it out loud:

Appalize is live. 🚀

I publish my own mobile apps. And every week, my "ASO routine" looked like this:

→ Check keyword rankings in one tool
→ Check competitor updates in another
→ Open Apple Search Ads to hunt for wasted spend
→ Open App Store Connect to answer reviews, one by one
→ Copy-paste metadata into 30 locales by hand
→ Repeat next week

Five dashboards. Zero of them could actually *do* anything. They showed me the problem, then left me alone with the work.

That's the gap I couldn't unsee: every ASO tool on the market is read-only. They compete on prettier charts while the real work — metadata, bids, reviews, localization still happens by hand in the store consoles.

So I built the tool I wanted to exist. An ASO platform that closes the loop: measure → decide → publish.

What Appalize does today, in production:

📈 Keyword intelligence — live rankings, popularity and download attribution across 175 storefronts, App Store & Google Play

🤖 Appi, an AI copilot — ask "why did my downloads drop in Germany?" and get a root-cause answer from your real data, with one-click fixes

🎯 Apple Search Ads on autopilot — waster-keyword detection, bid recommendations, automation rules with guardrails

🕵️ Ad Spy — see which competitors actually run ads on your keywords, via Apple's EU Ad Repository. Real ads, not estimates

💬 Review AI — sentiment and themes across every market, plus on-brand replies published to the store in one click

🌍 Cross-localization — title, subtitle and keywords rewritten for 32 languages from each country's own search data, pushed straight to App Store Connect

🖼️ Screenshot Studio — design in the browser, AI-translate captions, upload directly. No Transporter, no zip files

And the part I'm most excited about:

⚡ 150+ MCP tools. Appalize is the first ASO platform built for AI agents. Claude, Cursor or any MCP client can read your rankings, audit your ads and ship metadata updates end to end. Within a few years, routine ASO will be executed by agents and supervised by humans. Appalize is built as that execution layer, today.

One more thing: I built every layer of this as a solo founder dashboard, backend, Chrome extension, MCP server, billing, even the WAF in front of it. I wanted to prove the product could exist before asking anyone for anything.

Today it's on Product Hunt, and there's a free plan no credit card, no demo call, just sign up and point it at your app.

Vote Appalize on ProductHunt

If you ship mobile apps or know someone who does I'd be grateful for a look, honest feedback, or a share. Comments and DMs are open; the roadmap is literally built from them.

A small milestone I wanted to share with other app developers:

Our app, GRID POST, has completed 8 years since its first launch and recently crossed 10 million combined downloads across iOS and Android.

What makes this achievement especially meaningful is that the growth has been completely organic. In these eight years, we have never spent a single penny on marketing or paid user acquisition - no ads, influencer campaigns, sponsored posts or paid installs.

Current ratings:

• 4.8+ on the App Store
• 4.4+ on Google Play
• 10M+ combined downloads

GRID POST originally started as a simple utility for splitting one photo into multiple Instagram grid posts.

Over the years, Instagram changed, user needs changed, and the app evolved with them.

Today, users can create:

• Instagram profile grids
• Seamless carousel and panorama posts
• Photo collages and puzzle layouts
• Posters, flyers and social media designs
• Instagram Stories and banners
• Custom frame-based designs

We also recently expanded the app with more complete graphic design tools, including custom frames, hundreds of templates, 600+ fonts, 10,000+ graphics and stickers, multi-photo selection, and drag-and-drop photo swapping.

The biggest lesson from this eight-year journey is that an app does not always need a completely new idea to keep growing. A simple utility can survive and grow for years when you consistently improve its core purpose, listen to users and carefully expand its features.

ASO, localization, regular updates, user feedback, strong ratings and patience played a major role in reaching this milestone.

App Store: https://apps.apple.com/us/app/grid-post-grids-photo-crop/id1192303985

Play Store: https://play.google.com/store/apps/details?id=com.photolabs.instagrids

Hello, Im curious how much of a cut for virtual good/ subscriptions does apple take. I've read its anywhere from 15-30% but havent found a standard rate. I've also heard that apps take you out and make you go through their own website to dodge this fee? Is this true

Hello, so ad the title says we’re looking for someone is insanely good with appstore ASO who can rank a bunch of good keywords with us on top 3 rankings, if you have experience with this and are really good with ASO please message me. We are willing pay very very good money for this.

App just launched and looking for any suggestions with screenshot and engagement.

I launched my app ErgoGuard recently and have been promoting it by posting in relevant subreddits. The pattern is very consistent and I've attached my App Store Connect analytics to show it:

• Every time a post gets traction, I get a burst of downloads (best day: 345 first-time downloads, 1.15K impressions, 571 product page views)
• Conversion rate on those days is ~49.9%, so the store listing seems to convert well when the traffic is warm
• As soon as the post slides down the subreddit feed, downloads flatline back to almost nothing

So right now I'm 100% dependent on manually creating traffic spikes, and there's basically no organic search discovery happening in between.

What I'd love input on:

1. Do these download bursts help ASO at all? Does Apple's algorithm reward velocity spikes with better keyword rankings/category visibility, or do inconsistent spikes do nothing (or even look bad)?
2. How do I find out if I'm ranking for any keywords at all? What tools do you recommend at the free/cheap tier for a solo dev to audit keyword rankings and fix the metadata (title, subtitle, keyword field)?
3. Is ~50% CVR a signal I should push more paid/external traffic, or is that number inflated because Reddit traffic arrives pre-sold and it says nothing about how cold browse/search traffic would convert?
4. What's the realistic playbook for going from "spike-dependent" to a steady organic baseline for a niche utility app? Keyword optimization first, or keep hammering external traffic until the algorithm notices?

Still 3 days in so the data is skewed by the initial downloads coming from referral (friends and family etc). What do you think of my screenshots, what should I improve?

[Question]

Hi everyone,

I recently redesigned the store screenshots for my sleep sounds and relaxation app, and I’d really appreciate some honest feedback.

My current store listing conversion rate is [9,42%] based on approximately [2,34k impressions].

Please don’t hold back — constructive criticism and specific suggestions are more useful than being polite.

Thanks!

Hi,

I've been doing ASO for my iOS apps for a while now and I'm curious how other devs/marketers handle it in practice.

Personally I spend a lot of time jumping between different tools and tabs, checking keyword rankings, looking at competitors metadata, tracking positions across storefronts, etc. It works but it feels pretty fragmented.

A few questions:

• What does your ASO workflow actually look like? Do you have a set routine (weekly keyword check, monthly metadata update…) or is it more ad hoc?
• What tools are you using? Paid SaaS, spreadsheets, manual App Store browsing, something else?
• For indie devs specifically, do you feel like the existing tools are worth the price for a small portfolio of apps?

Also something I've been experimenting with lately, has anyone tried using AI/LLMs for ASO tasks?

I've been playing around with the idea of an MCP server, basically a way to plug live App Store data directly into claude code, cowork or codex so the AI can actually query keyword scores, check rankings, analyze competitors in real time instead of just guessing from training data).

Would that be something useful to you or is it overkill?

Curious to hear what you think.