Quick answer: In our sample, most apps never touched their store listing while we were watching it. Across 26,972 daily listing snapshots of 278 apps monitored between May 5 and August 10, 2026, 141 of the 202 apps with at least 14 days of coverage — 69.8%, call it 70% — made zero changes to their title, subtitle or description. Read that with the coverage in mind: the median app here has 23 days of daily snapshots, not three months, so this is "frozen for about three weeks," not "frozen forever." Only 57 of 278 apps ever changed a title. 170 of 278 (61.2%) have no subtitle at all. And when an app does edit, it edits in a burst: the median gap between one change and the next is 0 days.
Most ASO writing tells you what your listing should say and how often to touch it. This piece is narrower: it measures what one set of real listings actually did, day by day, with no prescription attached. For the recommended cadence and the per-field mechanics, our metadata optimization guide already sets a cadence. What this study adds is the context that almost nobody in this sample followed one.
How often do apps actually update their App Store listing?
The honest headline is a null: in this sample, they didn't. Restricting to the 202 apps with at least 14 days of daily snapshots — enough coverage that we could plausibly have caught an edit — 141 changed nothing across title, subtitle or description. Eighteen changed something exactly once, 29 changed something two or three times, and only 14 apps edited four or more times. Widen the lens to all 278 apps and the same picture holds field by field: a minority touched release notes, and almost nobody touched the listing. Every figure below describes these apps over these windows — it is a measurement of one corpus, not a law of the App Store.
How we measured this — and what this data can't tell you
This section comes second on purpose, because the caveats change how you should read every number below.
Coverage is not what the window suggests. The corpus spans 97 days, but that is the window, not per-app coverage. These are 278 apps monitored across a 97-day window, with a median of 23 days of daily snapshots each (mean 21.3 days). Ninety-six apps have 30 days or more; only three have 60 or more. So "never changed it" means "never changed it during a stretch that was typically about three weeks long," not "never changed it in three months." That is why the headline number is drawn from the 202 apps with at least two weeks of coverage rather than all 278. Change events are measured from the corpus's 20,816 day-over-day transitions across 211 apps.
These are not the top apps. Every app here was added to AppDrift by its own owner to be monitored. That skews small, independent and self-directed. It is a picture of what indie and small-team listings look like in 2026, and it should not be read as a picture of the App Store's top charts.
The keyword field is invisible, so we say nothing about it. Apple's keyword field is not published anywhere — not in the store UI, not in public APIs, not in any scrape. In our corpus that column is empty for all 278 apps, so this study makes zero claims about it. Worth internalising as a fact rather than a footnote: when a competitor-intelligence tool tells you which keywords a rival "has in their keyword field," it is inferring, not reading.
We measured edits, not consequences. Nothing here shows that editing a listing raises or lowers rankings; we can see what changed and when, but we did not run a controlled rank comparison on it. Where we do publish rank data, a separate caveat applies: Google Play's public search exposes only about 25–30 results, so an Android keyword with no rank means "outside the top 30," not "unranked." That belongs to rank studies like our study of 604 scored keyword checks, not to this one — and keeping the two apart is how we avoid splicing them into a causal story.
Which fields do apps change — and which do they abandon?
Across all 278 monitored apps, here is how many ever touched each field at least once, and how many total change events we recorded. Read the app counts as floors: a change is only detectable for the 211 apps that produced day-over-day transitions, so the other 67 can only ever count as "no change observed".
| Field | Apps that ever changed it | Out of | Change events |
|---|---|---|---|
| Release notes | 89 | 278 | 358 |
| Description | 62 | 278 | 173 |
| Title | 57 | 278 | 158 |
| Subtitle | 35 | 278 | 93 |
| Keyword field | not observable | — | — |
Release notes are the only field a meaningful minority touched. We can't see why from these snapshots — we record listing text, not binary releases, so "notes get updated because a build shipped" is a plausible explanation we cannot confirm here. Strip release notes out and the picture is stark: the fields a potential user actually reads when deciding whether to install are the fields fewest owners in this sample returned to. Subtitles were the least-touched of all, changed by just 35 apps.
The 70%: what "never touched it" actually looks like
Here is the full distribution for the 202 apps with 14 or more days of coverage, counted in apps rather than percentages so you can see the sample sizes directly:
The tail is the interesting part. Five apps out of 202 accounted for eight or more changes each — a handful of operators doing an outsized share of the listing work visible in this dataset, while 141 made no change at all and another 56 made between one and seven. With a median of 23 days per app we can only say those 141 were static while monitored; we cannot see what they did before or after. If you have ever wondered whether rivals are quietly A/B-ing their subtitle every fortnight, this sample can't tell you about your rivals — but among these small, owner-monitored apps, that behaviour was rare.
When apps do edit, they edit in bursts
We measured 151 edit-to-edit gaps: for every app that changed something more than once, the number of days between consecutive change events. The mean gap is 1.7 days. The median gap is 0 days.
A median of zero means the typical "second edit" happened on the same calendar day as the first. In this corpus, listings don't drift toward improvement; they have a listing day. The pattern is consistent with someone rewriting the title, the description and maybe the subtitle in one sitting and then leaving it alone for the rest of the window — though we see the edits, not the person or the reason behind them. Listing work looks like an event here rather than a practice. Whether adopting a practice pays off in rank is a question this dataset cannot answer; what it can tell you is how uncommon the habit is.
What listings in this sample look like: 24 characters, and often no subtitle
Taking the most recent snapshot of each of the 278 apps, here is the shape of a typical listing in this corpus — again, small and owner-monitored apps, not top-charting ones:
| Measure | Value | Basis |
|---|---|---|
| Average title length | 24.1 chars | n = 278 apps |
| Average description length | 2,178 chars | n = 278 apps |
| Apps with no subtitle at all | 170 of 278 (61.2%) | n = 278 apps |
| Average subtitle length, where one exists | 72.6 chars | n = 108 apps * |
* The subtitle figure is the length of the subtitle slot exactly as captured in our snapshots. We did not split this corpus by store, so read "subtitle" as the subtitle slot as captured per listing rather than as an Apple-specific field, and read the number as a description of the corpus rather than a comparison against any one store's allowance.
Two things stand out. First, titles: the average listing here uses 24.1 of the 30 characters both stores allow, leaving about six characters of title space unused on average. Titles are the line a searcher sees first and one of the tightest-capped fields on both stores, so unused space there is at least worth a look — we are not claiming a rank effect we did not measure. Before you rewrite anything, check your title and subtitle against the real limits.
Second: 61.2% of the apps in this sample have no subtitle whatsoever. That is an entire metadata field sitting empty on three listings out of five — the largest unclaimed surface in this corpus. If the blank page is the blocker, you can generate a subtitle you're not currently using in under a minute and edit from there.
Does editing your listing get you more reviews? We couldn't find it.
We looked. We compared review growth over the monitoring window between apps that edited their listing and apps that didn't, and we could not find a difference at this sample size — 24 apps in the edited group against 72 in the static group, with a median review change of 0 in both. The group averages were distorted by a couple of large outliers to the point of being meaningless. We are reporting the null rather than a mean we know is outlier-driven, because the latter is how most "ASO studies" end up asserting things that don't replicate.
What to do if the apps around you look like this sample
The strategic read is not "edit more, rank higher" — we just said we can't show that, and nothing below should be read as a promise of rank. It is simpler: in this corpus, most listings were left alone. Where roughly seven in ten monitored listings sat frozen and three in five had an empty subtitle, doing anything consistently is at least uncommon. Four things follow from the numbers above — each one is an observation about unused space, not a measured payoff:
1. Fill the subtitle. 170 of 278 apps in this sample have nothing there. Whatever its exact ranking weight — which we did not measure — an empty field is one you are definitely getting nothing from, and filling it is the cheapest thing on this list.
2. Use the rest of your title. The average title in this sample runs 24.1 of the 30 characters allowed. That is roughly six characters of the first line a searcher reads, left blank.
3. Any cadence is an unusual cadence here. You do not need a heroic schedule to be an outlier in a sample where 141 of 202 apps made zero edits while monitored. Whether a cadence improves your ranks is a separate question this study does not answer — our metadata optimization guide sets the schedule and the per-field mechanics.
4. Watch competitors: in a quiet field, a change is a signal. When a rival's listing has not moved for weeks, an edit is at least worth noticing. Tools that watch competitors' listings change are more useful against a static field than a noisy one.
If you want the habit without the calendar reminder, a weekly action plan that tells you what to change next is the version we built for ourselves. And if you would rather measure before you edit, AppDrift's free tier tracks 5 keywords forever with a daily refresh — enough to see whether anything you change moves.
Frequently Asked Questions
How often should you update your App Store listing?
This study measures what a sample of apps did, not what is optimal — and what they did was nothing: 141 of the 202 apps with at least 14 days of coverage (69.8%) changed no core listing field at all while monitored. Per-app coverage is a median of 23 days, so read that as "static for about three weeks," not "static forever." For a recommended cadence, our metadata guide sets one. The finding here is competitive rather than prescriptive: among these small, owner-monitored apps, roughly seven in ten listings sat frozen, so any consistent habit would be unusual — we did not measure whether it improves rankings.
Do I need to update my app store listing if nothing changed in the app?
In our sample, most developers only touched release notes — 89 of 278 apps changed release notes (358 events) versus 57 that ever changed a title and 35 that ever changed a subtitle. We cannot see from these snapshots why that is; they record listing text, not builds. What we can say is that the fields a potential user actually reads are the ones fewest owners here revisited.
Does updating your app store listing hurt your rankings?
This dataset cannot answer that, and we won't pretend otherwise. We observe listing edits, not their ranking effect — we did not run a controlled before-and-after on rank for the apps that edited, so we make no causal claim in either direction.
What percentage of apps use the App Store subtitle?
In our sample, 170 of 278 apps (61.2%) had no subtitle at all in their most recent snapshot; 108 had one. It was also the least-touched field: only 35 apps ever changed theirs, across 93 change events. Two caveats: the sample is owner-added apps monitored inside AppDrift and skews small and indie rather than top-charting, and we did not split this corpus by store, so "subtitle" means the subtitle slot as captured per listing.
How long is the average app description?
2,178 characters, measured from the latest snapshot of each of the 278 apps. Both stores allow up to 4,000, so the typical listing here uses a little over half the space available to it.
Can you see what keywords a competitor is targeting in their App Store keyword field?
No. Apple's keyword field is not shown publicly and is not returned by any store API or scrape — it was empty for all 278 apps in our corpus, which is why this study makes zero claims about it. Competitor targeting can only be inferred from what is visible (title, subtitle, description) plus what they actually rank for, which is the approach behind our free keyword difficulty checker.
Last updated: August 10, 2026.
Methodology: 26,972 daily store-listing snapshots covering 278 apps monitored inside AppDrift between May 5 and August 10, 2026, yielding 20,816 day-over-day transitions across 211 apps. Per-app coverage is a median of 23 days (mean 21.3); 96 apps have 30+ days and 3 have 60+. Change-frequency figures use the 202 apps with 14 or more days of coverage. Apps are owner-added and skew small and independent — this is not a sample of top-charting apps. Aggregates are anonymised; no customer app is identified.
