Mobile — App Store Optimization
Post-Launch ASO: First 90 Days Playbook
Direct answer
The first 90 days after launch set your listing's long-term trajectory: early ratings, retention signals, and conversion data compound. My playbook runs in three phases — weeks one and two are stability and review-prompt plumbing, because crashes convert directly into permanent one-star reviews; weeks three through six are the first keyword iteration using real search and conversion data instead of launch-day guesses; weeks seven through twelve establish creative testing and a monthly ASO cadence you can sustain indefinitely.
Launch day is when ASO starts, not when it ends — the listing you shipped was built on guesses, and the next 90 days are when real data replaces them. This is the sequence I run after every launch, with the reasoning behind each phase.
Key facts, with sources
- App store search drives 65% of app discovery on iOS and 58% on Google Play, making it the single largest acquisition channel ahead of browse, referrals, and ads. (Business of Apps)
- In 2025 the average US conversion rate was 8.56% on the App Store and 16.15% on Google Play, with category extremes ranging from about 5% for trivia games to over 50% for food and drink apps. (AppTweak)
- A one-star rating increase can lift conversion 10 to 15%, and moving from three to four stars can boost conversions by up to 89%. (AppFollow)
- Apple Ads placements at the top of App Store search results deliver an average conversion rate above 60% across available countries, measured November 2024 to October 2025. (Digital Applied (ASO statistics compilation))
- Apps compete against roughly 1.96 million titles on the Apple App Store and over 1.5 million on Google Play, with tens of thousands of new apps published every month. (BuildFire)
Days 1–14: stability is the first ASO task
Nothing you do to a listing outruns a crashing app. The first cohort hits device and OS combinations your beta never covered, and every crash in this window becomes ratings damage on a listing with no cushion — a handful of early one-stars can anchor your average for months. Week one is triage: watch crash reporting obsessively, ship fixes daily if needed, and use over-the-air updates for anything JavaScript-level in a React Native app.
In parallel, stand up the measurement you will rely on all quarter: impressions, product page views, conversion rate, and installs, segmented by traffic source — search, browse, and referral behave differently and drive different decisions later. Respond to every review this week; the habit is visible to prospects.
Wire the ratings engine before you need it
Ratings velocity — a steady flow of fresh, mostly positive ratings — matters more than any single burst, and you control it through prompt placement. Use the native in-app review APIs and trigger them only after demonstrated success: a completed core task, a second-session return, a milestone. Never prompt during onboarding, after an error, or on a timer; iOS limits how often the system prompt can appear, so wasted triggers are genuinely lost.
Just as important is the counterweight: an in-app path for frustrated users to reach support before they reach the store. That combination — well-timed prompts plus a frustration off-ramp — does more for the first quarter's rating than any post-hoc campaign to bury bad reviews.
Days 15–45: the first keyword iteration on real data
Your launch keywords were hypotheses. By week three you have evidence: the store consoles show which search terms actually generate impressions and how each converts. The pattern I see most often is that a term the team fought for converts poorly because the intent was wrong, while an unplanned long-tail phrase quietly outperforms it. The first iteration prunes prestige keywords and doubles down on what people actually type.
Mechanics differ by store. On iOS, the keyword field, name, and subtitle only change with a version submission, so I batch updates with the next release. Google Play indexes description text and is editable anytime, so copy iterations there can ship weekly. Annotate every change — unannotated metadata edits make the next month's data unreadable.
Days 45–90: creative testing and conversion work
By mid-quarter you have a conversion baseline by traffic source, the prerequisite for testing creative rather than guessing. Start the experiment cadence: Product Page Optimization on iOS for icon and screenshot variants, store listing experiments on Google Play for creative and description copy. On young-app traffic, test bold differences — a new first-screenshot concept, a genuinely different icon direction — one test at a time, run to whatever confidence the platform reports.
Feed the tests with what the first six weeks taught you. If search terms reveal users want an outcome you buried on screenshot four, promote it to screenshot one and test that. If reviews repeatedly praise a feature you undersold, it becomes caption material. The best hypotheses here come from real user language, not brainstorms.
Reviews are a roadmap, not just a score
Around week six, patterns in the reviews become legible, and they are worth mining systematically rather than emotionally. I tag each substantive review with a theme: feature requests, confusion points, and the exact vocabulary users apply to the product. That vocabulary is keyword research you cannot buy — users describing your app in their own words are telling you what they would have searched for.
Confusion themes drive onboarding fixes that improve retention, and retention is widely believed to feed ranking signals on both stores, so this loop is ASO even though it never touches metadata. Keep closing the loop publicly: when a requested fix ships, answering the original review sometimes converts a critical rating into an updated positive one, and the thread signals responsiveness to every prospect who reads it.
The exit state: a monthly habit, not a project
The point of the 90-day push is to leave permanent infrastructure behind: dashboards someone checks weekly, a ratings engine that runs itself, an annotated changelog of every metadata change, one or two completed experiments with decisions shipped, and a backlog of next tests. That converts ASO from a launch scramble into a monthly review — an hour on the dashboards, one metadata or creative change, one experiment queued.
What I deliberately do not do in the first quarter: chase featuring, buy installs, or churn the listing weekly in response to daily ranking noise. Rankings compound from ratings velocity, conversion, and retention. Protect those three and visibility follows; sacrifice them for a spike and you rebuild from a lower baseline.
When to hire senior help
Bring in ASO help once the product has retention worth scaling and organic installs have plateaued, since optimization multiplies traffic you already earn rather than creating demand. Specialists matter most in competitive categories, where keyword targeting and conversion testing against entrenched incumbents is a data discipline generalist marketers rarely run well. If your stack includes React Native + Python + AI, a senior engineer who owns the full product beats coordinating multiple juniors.
Bottom line
Dhairya Senjaliya ships Mobile — App Store Optimization projects worldwide — book a scoping call to discuss your specific situation.
Common pitfalls to avoid
- ✕Stuffing keywords into the app title despite Apple's 30-character limit and policy, while leaving the separate iOS keyword field empty or full of duplicates
- ✕Never running screenshot or icon experiments with Google Play store listing experiments or Apple Product Page Optimization, even though the first screenshot dominates conversion
- ✕Ignoring ratings mechanics: no in-app review prompt at moments of user success and no replies to negative reviews, letting the average drift below the critical 4.0 threshold
- ✕Treating ASO as a one-time launch checklist instead of iterating on keyword rankings and conversion data, and skipping listing localization for non-English markets
Frequently asked questions
How soon after launch should I change my app store keywords?
Wait roughly two to four weeks — long enough for real impression and conversion data by search term to accumulate, short enough to fix wrong guesses quickly. On iOS, keyword and subtitle changes require a version submission, so batch them with your next release. On Google Play, description text is editable anytime. Annotate every change so you can read the effect afterward.
When is the right moment to ask users for an app rating?
Immediately after a demonstrated success: a completed core task, a returned second session, a reached milestone. Use the native review prompt APIs, never ask during onboarding or after an error, and remember iOS limits how often the system prompt can appear — wasted triggers are lost. Pair prompts with an in-app support path so frustrated users vent to you, not the store.
Do launch-day download spikes matter for long-term app store rankings?
Far less than founders hope. A spike without retention typically decays within days, while sustained ratings velocity, listing conversion, and user retention are the signals that compound into durable rankings. I would trade any launch spike for a steady flow of well-timed positive ratings and a stable crash-free rate in the first month — those set the trajectory.
Does ASO actually matter or should we just buy ads?
Search drives 65% of discovery on iOS and 58% on Google Play, so the organic listing is the largest single acquisition channel and every paid click also lands on it. With average conversion at 8.56% on iOS and 16.15% on Play, listing quality can roughly double or halve the yield of all your traffic, paid included.
How much do ratings really affect downloads?
Heavily: a one-star improvement lifts conversion 10 to 15%, and going from three to four stars can boost conversions by up to 89%. Around 4.0 stars is the practical safe-zone threshold, below which each tenth of a point costs disproportionate installs.
How long does ASO take to show results?
Keyword ranking movements can appear within weeks of metadata changes, but conversion experiments need enough traffic to reach significance, and store algorithms reward sustained engagement signals. Expect two to three months of iteration before drawing conclusions, and treat ASO as a continuous process rather than a launch task.
Bottom line: Dhairya Senjaliya ships Mobile — App Store Optimization projects worldwide. Book a scoping call at https://dhairyasenjaliya.com/#book-call.