Category: Indie Dev

  • Why App Store Discovery Is Broken

    Why App Store Discovery Is Broken

    If the App Store were a library, the shelves would be rearranged every hour, the index would hide the best books behind vague keywords, and the staff would only recommend titles from last week’s display. It works for trending hits. It fails quiet, useful tools—the ones most indie devs build.

    This isn’t a rant. It’s a field guide to what’s broken, why it stays broken, and the systems that let you win anyway.

    Symptoms users feel (and why they bounce)

    • Intent mismatch: Search “calendar notes” and get generic calendar apps, not tools that attach context to events.
    • Recency bias: Fresh updates surface; durable utilities sink if they don’t play the weekly update game.
    • Category blur: “Productivity” contains everything from clipboards to CRMs; comparison is impossible inside the store.
    • Thin pages: Screenshots and vague “What’s New” copy; little proof of outcomes or use cases.

    Why discovery breaks by design

    • Incentives: Stores optimize for revenue, safety, and support costs—not niche fit.
    • Data limits: Apple/Google can’t see your in‑app outcomes; they infer quality from weak proxies (ratings recency/volume, crash rates).
    • Ambiguity: Many useful tools don’t match obvious keywords; the store can’t model intent without artifacts.
    • Supply flood: Thousands of updates weekly; noise drowns signal unless you ship discoverability assets.

    What actually moves visibility (the levers that are real)

    • Recent ratings on current version (not lifetime average)
    • Update cadence (weekly/biweekly beats quarterly for rankings)
    • Retention (crash‑free sessions, uninstalls, refunds)
    • Regional performance (locale‑matched metadata and screenshots)
    • External demand (search traffic and links to your site and docs)

    Why this punishes indie utilities

    • You don’t ship empty updates just to tick the box.
    • Your users are loyal but quiet; they don’t naturally leave ratings.
    • Your app solves intent that search doesn’t understand (“attach notes to calendar,” “generate changelogs”).

    So: don’t wait for the store to discover you. Manufacture discoverability.

    A practical blueprint that works (even if the store doesn’t)

    1. Treat your listing like a landing page
    • Title: lead with job‑to‑be‑done; subtitle: explicit outcome.
    • First two screenshots: show the job, not the UI; add captions.
    • “What’s New”: write one human sentence that ties to a benefit.
    1. Ship on a cadence you can sustain
    • Weekly/biweekly updates with real changes; include a human changelog.
    • Move ratings prompts to success moments (never first run).
    1. Localize for top locales early
    • Translate title/subtitle and captions; show locale‑matched screenshots.
    • Adjust copy to expectations (e.g., “diary” vs “notes” nuance).
    1. Build borrowed discovery outside the store
    • Integrations: Slack, Notion, Linear, GitHub—listings have traffic.
    • Templates and public pages: generate shareable artifacts with soft branding.
    • Problem pages and comparisons: “Sync Apple Calendar to Notion,” “Raycast vs Alfred for devs.”
    1. Make activation inevitable
    • Prefill demo data or one‑click templates; time‑to‑aha under 3 minutes.
    • Instrument first_open → aha_action → invite → subscription.
    1. Ask for ratings at the right moment
    • After the aha action; at spaced thresholds (3/10/25 successes).
    • Never ask on a known‑bad build; pause during crash spikes.

    Store copy that converts (steal this pattern)

    • Title: “Attach notes to calendar events”
    • Subtitle: “Meeting context auto‑linked to your schedule”
    • What’s New: “Notes auto‑attach to meetings from invites; faster search. Try it on your next call.”
    • Screenshot captions: “See context next to time,” “One‑click capture,” “Share recap from the app”

    Case briefs: indie apps winning despite the system

    1. The weekly heartbeat
    • A macOS utility moved from 4.2 → 4.7 average rating by:
      • Prompting reviews after “copy to clipboard” success
      • Shipping weekly performance and UX fixes with human changelogs
      • Localizing screenshots and subtitles in three top locales
    1. Borrowed discovery
    • A small automation app grew trials 68% by:
      • Shipping a Linear → Notion sync with a marketplace listing
      • Publishing two problem pages and a 90s demo
      • Adding “powered by” footers on public templates
    1. Intent clarity
    • A calendar tool stopped “generic” searches bleeding by:
      • Renaming title to the job (not brand)
      • Adding captions that show outcomes
      • Writing “What’s New” for humans, not release notes

    Instrumentation: prove to yourself this works

    Minimal metrics

    • Store page conversion (% who tap Get after viewing)
    • Ratings volume per WAU, average rating (current version)
    • Trials from external pages (UTM source/medium/campaign)
    • Activation rate: aha_action within 7 days
    • 4‑week retention by acquisition cohort

    Weekly ritual (45 minutes)

    • 10m: Review store metrics and ratings; reply to 1–3★
    • 15m: Ship small fix or UX polish; update “What’s New” copy
    • 10m: Publish one artifact (clip/problem page/template)
    • 10m: Outreach to one partner or community with that artifact

    The uncomfortable truth (and your advantage)

    The App Store will always prefer hits and heuristics. Your advantage is that you can build the discoverability assets the Store doesn’t: problem pages, integrations, templates, clips, and human copy. If you act like a small media company for your app—shipping weekly stories tied to outcomes—you don’t need the Store to “find” you. People will.

    Checklist (copy/paste)

    Final thought

    App Store discovery isn’t built for you—and that’s fine. Build your own. Make the job‑to‑be‑done obvious on your listing. Ship weekly proof. Borrow audiences that already exist. Ask for ratings at the right moment. Most importantly, lead with outcomes in every artifact you publish. Discovery is broken; your system doesn’t have to be.

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  • How Indie Devs Should Approach Bloggers

    How Indie Devs Should Approach Bloggers

    Bloggers don’t owe you coverage. They owe their readers value. Your job isn’t to persuade—it’s to package a story their audience will thank them for. That mindset shift turns outreach from a cold ask into a collaboration.

    This guide shows you how to become a blogger’s easiest “yes”: what to send, how to pitch, when to follow up, and how to make their job (and yours) easier.

    What bloggers actually need (and why they ignore you)

    • Reader‑first angle: “How this solves {specific problem} better/faster/cheaper.” Not “we launched X.”
    • Proof and artifacts: screenshots/GIFs, short demo clips, sample data, a test account or promo code, and a clear before/after.
    • Credibility: why you built it, constraints, honest trade‑offs, pricing clarity.
    • Frictionless publishing: quotes, hero image, alt text, captions, and links with UTMs.

    They ignore vague, ask‑heavy emails. They say yes to ready‑to‑publish stories.

    The 5 coverage angles that consistently work

    1. Problem/solution guide: “Generate changelogs from git in under 2 minutes” (with steps and a tool that does it)
    2. Comparison: “Raycast vs Alfred for devs—speed, scripts, and setup” (your tool can appear as the utility that enhances either)
    3. Integration story: “Sync Linear roadmaps to Notion without adding seats”
    4. Case study: “How {role} cut {metric} by {X%} using {YourApp}”
    5. Data or teardown: “We analyzed 1,000 app store reviews—here’s what moves conversion”

    Asset checklist (copy/paste)

    • 6–8 screenshots: hero, setup, aha moment, two advanced, pricing page
    • 60–90s demo video with captions
    • 3 GIFs (under 5MB) for key flows
    • One‑page summary: problem, solution, who it’s for, pricing
    • Quotes: 2–3 customer lines with permission
    • Link pack: site, docs, changelog, pricing, UTM’d trial link
    • Test account or promo codes (time‑boxed)

    Email scripts that get replies

    First contact (short, specific)

    Subject: Story idea for {Blog}: {problem → outcome in 90s}
    
    Hey {Name},
    
    Your readers often write about {specific friction}. We built a tiny fix that gets them to {outcome} in under 2 minutes.
    
    Quick view (90s): {demo link}
    Steps: {doc link}
    Assets: {drive/folder link}
    
    If it’s useful, I can send a ready‑to‑publish draft or join you for a 10‑minute co‑demo. Either way, happy to tailor it to your audience.
    
    — {You}

    Follow‑up (value add, not nag)

    Subject: Quick update on {story angle}
    
    Added a case study: {metric} improved by {X%} for {role} at {company}. Also shipped {integration/feature} that your readers asked for here: {link}.
    
    Happy to send a draft with screenshots if helpful.

    After coverage (close the loop)

    Subject: Thank you + here’s what your readers did
    
    Thanks for the write‑up—{specific compliment}. Within 7 days, {number} readers tried it; {metric} improved. We added your article to our site and sent it to our newsletter.
    
    If you want an exclusive angle next month (e.g., {integration/benchmark}), I’ll share assets early.

    Pitch timing and cadence

    • Tuesdays/Wednesdays: higher reply rates; avoid Mondays and late Fridays.
    • Monthly cadence: one new angle per month (feature, integration, case study, teardown).
    • 2 follow‑ups max over 14 days, both with new value.
    • Keep your lanes: don’t spray generic pitches; map 10–15 blogs to specific angles.

    Build a “press kit” page (it’s not just for press)

    Create a public page with live assets:

    • Logos (SVG/PNG), brand colors, one‑liner
    • Screenshots + captions, demo video, GIFs
    • Founder photo + short bio for quotes
    • Facts: launch date, pricing, platforms, usage stats (honest)
    • Changelog highlights and roadmap hints

    Link it in every outreach. Update monthly.

    Make coverage easy to write (structure)

    Offer an outline bloggers can lift:

    • Headline: problem → outcome
    • Intro: who this helps and why now
    • Steps: 3–5 bullets with screenshots
    • Proof: metrics, quotes
    • Caveats: trade‑offs, known limits
    • CTA: trial link, doc link

    Technical touches that impress

    • UTM parameters per blogger to share performance transparently.
    • Fast test environment: prefilled data, reset link, and 1‑click “aha” template.
    • Embeddable widgets: live demo with copy‑safe code snippets.
    • Public templates: Notion/Linear/etc. with “powered by” footers.

    Measurement (so you both win)

    Track and share:

    • Trials from each article (utm_source=blogger‑name)
    • Activation rate within 7 days
    • Conversion lift on the article week vs baseline
    • Retention of referred cohorts

    Offer a mini report back to bloggers—this is how you get invited again.

    Avoid rookie mistakes

    • Asking for a review without a story
    • Over‑polished assets with no substance
    • Hiding pricing or gating basics behind calls
    • Spray‑and‑pray outreach
    • Ignoring reader criticisms in comments

    30‑day outreach plan (simple and compounding)

    Week 1: Prep

    • Build press kit page; record the 90s demo; write two outlines.
    • List 10 blogs; map each to an angle.

    Week 2: First pitches

    • Send 5 tailored emails with assets.
    • Post a problem page on your site to anchor the angle.

    Week 3: Follow‑ups + ship

    • Add one case study or integration; follow up with value.
    • Publish your own article; share to newsletter.

    Week 4: Close the loop

    • Report metrics to bloggers; thank them publicly.
    • Plan next month’s angle (comparison or teardown).

    Templates (copy/paste)

    UTM link (example)

    https://yourapp.com/try?utm_source={blogger}&utm_medium=article&utm_campaign={angle}

    Aha template checklist (JSON)

    {
      "id": "press_demo_v1",
      "steps": [
        { "id": "connect_integration", "label": "Connect Linear", "event": "integration_connected", "props": { "provider": "linear" } },
        { "id": "import_sample", "label": "Import sample issues", "event": "import_completed" },
        { "id": "run_first_rule", "label": "Run first automation", "event": "aha_action" }
      ]
    }

    Coverage outline (Markdown)

    # {Problem} solved in 2 minutes
    
    Who this helps
    - {role}, {context}
    
    Steps
    1) Connect {integration}
    2) Choose {object}
    3) {Outcome}
    
    Proof
    - {metric} improved by {X%}
    - Quote: “{line}” — {Name, Role}
    
    Caveats
    - {trade‑offs}

    Final thought

    Approach bloggers like collaborators with an audience to serve, not gatekeepers to convince. Package a reader‑first story, bring real assets, and make measurement transparent. Do it monthly, and you’ll build relationships that compound—coverage that keeps showing up because you keep shipping value.

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  • What Founders Get Wrong About App Reviews

    What Founders Get Wrong About App Reviews

    What founders get wrong about app reviews

    Most founders treat reviews like a scoreboard. Reviews are a distribution surface and a product signal loop. Done right, they lift store rank, increase conversion, reduce churn, and tell you exactly what to build next. Done poorly, they become noise, nagging, and policy risk.

    This is the definitive, practical guide to building a review engine that compounds across iOS/macOS App Store, Google Play, Chrome Web Store, and SaaS marketplaces—without spammy tactics.

    TL;DR (use this as a checklist)

    • Ask only at success moments (never first session); cap at 3, 10, 25 successes.
    • Two–step ask: in‑app sentiment → store prompt for happy users; route unhappy users to support.
    • Reply to every 1–3★ review in 24–48h with specifics and a fix path.
    • Tag themes (perf, UX, pricing, bug, request); ship and close the loop publicly.
    • Pull fresh quotes into store screenshots and product pages monthly (with consent).
    • Measure: average rating (current version), reply SLA, ratings volume/WAU, conversion lift from store.
    • Guardrails: staged rollout, crash kill‑switch, never incentivize ratings.

    Related


    1) The Review Flywheel

    Reviews drive four compounding effects:

    • Ranking: Recency, volume, and rating influence store visibility.
    • Conversion: Recent, specific 5★ reviews lift store/product page conversion.
    • Retention: The act of asking at success moments reinforces habit and reveals friction early.
    • Roadmap: Thematically tagged reviews surface what to fix and what to double‑down on.

    Design this as a loop you run weekly: Ask → Route → Act → Amplify.


    2) Ask at success moments (timing is everything)

    A success moment is the smallest, unambiguous proof your app did its job. Examples:

    • Screenshot tool: after a capture is copied/shared
    • Notes: after Publish/Export
    • Automation: after first rule runs successfully
    • Calendar: after notes attach and sync
    • Team app: after first invite accepted

    Implementation rules:

    • Never ask on first launch or in onboarding.
    • Space asks: show at 3, 10, 25 successes; reset after user chooses Rate or Don’t Ask.
    • Localize tone; keep copy human and concise.

    Web / Chrome extension two–step ask

    • Step 1: in‑app “How’s it going?” (👍 / 👎)
    • Step 2: 👍 → open store review link; 👎 → open feedback form, create ticket, no store link

    3) Route reviews to owners (so work gets done)

    Build a lightweight pipeline so no review is wasted.

    • Ingest: Pull reviews daily from Play API; mirror App Store/Chrome via vendor or internal scraper; append manual sources (G2/Capterra/Zendesk).
    • Enrich: attach app version, locale, plan, device if known.
    • Tag: sentiment (pos/neg/neutral), topic (perf, UX, pricing, bug, request), severity.
    • Assign: support replies; product owns themes/tickets; marketing owns amplification.

    4) Respond like a pro (and fast)

    Principles

    • Reply to 1–3★ within 24–48h; acknowledge specifics; offer a fix path.
    • Translate to user’s language where possible.
    • Never debate; offer help, roadmap context, or a beta invite.

    Templates

    • Positive (5★): “Thanks, {Name}! Glad {feature} helps with {job}. One wish for next month?”
    • Bug (1–3★): “Appreciate the report. We fixed {bug} in v{ver}. If it persists, email {founder@}—we’ll prioritize.”
    • Request: “Logged ‘{request}’ for {month}. Interested in early access? {beta‑link}.”

    5) Turn reviews into distribution assets

    • Store screenshots: add real quotes (with consent) and numbers (“Trusted by 5,000+ devs”).
    • “What’s New” copy: one human sentence that points to the value, not the code change.
    • Website: show 3 rotating quotes by theme (performance, UX, support) on product pages.
    • Newsletter: Monthly “Top 3 community quotes + what we shipped in response.”
    • Social: Post a 60–90s clip: review → problem → fix → demo.

    6) Avoid policy traps (and review bombs)

    • No incentives for ratings; don’t gate features behind reviews.
    • Use platform APIs (SKStoreReviewController, Play In‑App Review); don’t deep‑link to the rating dialog repeatedly.
    • Stage rollouts; add kill‑switches for risky modules; monitor crash‑free sessions before broad prompts.
    • Detect cohort problems (sudden locale/version dips) and pause prompts for affected users.

    7) Metrics that actually move the business

    North stars

    • Average rating (current version)
    • Ratings volume / WAU
    • Reply SLA for 1–3★
    • Store → trial conversion rate
    • Retention by acquisition channel vs rating exposure

    8) Internationalize early

    • Localize prompts and replies for top locales.
    • Show locale‑matched reviews on store screenshots and website.
    • Watch rating dips by locale—they’re often copy or UX expectations, not features.

    9) Case briefs (patterns that repeat)

    1. Utility app (macOS): ratings stuck at 4.2 → 4.7 in 6 weeks by moving prompts to “copy to clipboard success,” replying within 24h, and adding one performance fix per week surfaced by reviews.

    2. Team notes app (iOS/Web): review bombs after pricing change; recovered by a staged rollout, a public post explaining tiers, targeted upgrade credits, and pausing prompts for cohorts on old versions.

    3. Automation SaaS: silent churn on complex onboarding; solved by asking for reviews only after “first job ran,” revealing blockers earlier, and turning top review themes into a new default template.


    10) 60‑minute weekly ritual

    • 10m: Scan/tag new reviews; detect emerging themes.
    • 20m: Draft and post replies (1–3★ first).
    • 15m: File product tickets with examples; pick one to ship this week.
    • 10m: Update store assets if there’s a standout quote.
    • 5m: Review metrics: avg rating (current), reply SLA, ratings/WAU.

    11) Implementation playbooks by platform

    iOS/macOS

    • Use SKStoreReviewController; never prompt on first run; success‑moment thresholds; localize copy.
    • App Store “What’s New”: write for humans; update cadence weekly/biweekly.
    • Reply via App Store Connect for major reviews.

    Android (Play)

    • Use In‑App Review API; staged rollouts; monitor ANR/Crash before prompts.
    • Reply via Play Console; tag themes into backlog.

    Chrome Web Store / Extensions

    • Two‑step ask; deep‑link to listing; keep changelog tight; reply with specifics.

    SaaS Marketplaces (G2/Capterra)

    • Replace “please review” with “tell us your before/after.” Route to a proof page or case study.

    12) Copy pack (steal this)

    In‑app ask (neutral):

    • “Did we help you get this done faster today?” (👍/👎)

    Store nudge (after 👍):

    • “Mind leaving a quick review? It really helps other {role} find the app.”

    Bug reply:

    • “Thanks for the heads‑up on {bug/flow}. We shipped a fix in v{ver}; if anything still feels off, reply here and I’ll dig in today.”

    Feature request reply:

    • “Noted! ‘{request}’ is in design for {month}. If you want early access, join the beta: {link}.”

    13) FAQ

    • How often should I ask? After success moments at spaced thresholds (3/10/25). If users decline, stop asking.
    • Should I ever incentivize? No—violates policies and destroys trust. Incentivize feedback, not ratings.
    • Can I use reviews on my website? Yes, with consent and accurate structured data; don’t fabricate counts.
    • Do replies affect rank? Indirectly through conversion and user trust; the recency/volume/quality mix matters most.

    14) Governance and ownership

    • Product: defines success moments; owns tagging/themes and weekly fix.
    • Engineering: implements prompt logic, events, and kill‑switches.
    • Support: replies to 1–3★ and escalates root causes.
    • Marketing: amplifies wins; maintains screenshots/quotes.
    • Founder: reviews the dashboard weekly; removes blockers.

    15) Ship list (copy/paste into your tracker)


    If you treat reviews like code—designed, instrumented, and shipped on a cadence—they’ll stop being a vanity metric and start paying rent across ranking, conversion, and roadmapping. Build the loop once; run it every week.

    • See also: Why indie apps fail without distribution (distribution system that pairs with this review engine)
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