How I built an app that makes $2,000 in one month (from scratch)

Concise executive summary (business focus)

Glow is a focused MVP — a daily-affirmations mobile app with warm/cozy branding, widgets and a mascot — built quickly to validate a freemium subscription business. The repeatable playbook: ship a narrow, polished product fast, instrument the onboarding funnel, run systematic A/B experiments, and scale paid acquisition only after onboarding → trial → paid conversion is reliably profitable.

Project snapshot

• Product: Glow — daily-affirmations mobile app (warm/cozy UX, mascot, widgets). Built as an MVP in React Native (Expo) and shipped on iOS first.
• Founder/owner: Arthur, 20, CS student. Built from scratch and used $200 personal ad budget plus promotional ad credits.
• Business model: Freemium with in-app subscriptions (monthly and yearly). Experiment pricing: Monthly $10, Yearly $40 (3-day free trial).
• Timeline: ~57 days from idea to reaching targeted profit level (iteration + ads + organic growth).

Frameworks, processes and playbooks used

• Lean startup / MVP approach: copy a proven app category and build the minimal product to test monetization quickly.
• Competitor reverse-engineering: screenshot top-grossing apps, replicate key patterns & flows, then differentiate by niche (Nordic winter / cozy UX).
• Product → dev workflow:
  • Design: Figma mockups.
  • Development: React Native (Expo) for core app; native Swift for widgets.
• Growth loop: ASO + creator/organic content + paid ads → optimize onboarding → repeat and scale.
• Measurement & experimentation:
  • Funnel instrumentation: downloads → onboarding completion → trial start → paid conversion.
  • A/B testing: PostHog + RevenueCat experiments for paywalls and onboarding variants.
  • Channel tracking: TikTok events SDK (native) + link tracking; hourly conversion analysis to schedule ad delivery.
• Onboarding playbook: reduce friction, add a progress bar, use commitment psychology (explicit commitment step before paywall), targeted personalization (“for you” categories).
• Monetization ops: RevenueCat for subscription management, receipt handling and paywall A/B testing; use billing grace period to recover failed charges.

Key metrics, KPIs and targets

• Downloads:
  • Early: ~900 downloads after launch/shorts.
  • Paid ads: ~100 downloads/day on €30/day campaigns at one point; later >200/day in some periods.
• Retention:
  • Day 2 retention initially ~15%.
• Onboarding:
  • Completion improved from 74% → 83% after redesign.
  • Target: 80–85% onboarding completion.
• Conversion:
  • Download → trial: ranged 12.5% → 20.6% (best days).
  • Trial → paid: ~31% average.
  • Example: 29 downloads → 6 trials = 20.6% download→trial.
• Subscriptions & revenue:
  • Active trials: reported between 22 → 46.
  • Active subscriptions: reported between 37 → 66.
  • Revenue (28‑day windows): $1,500 → $2,400 → $2,800 at different checkpoints.
  • Best single day revenue: ~$278 (7 conversions).
• Unit economics example:
  • For 100 downloads: expect ~14 trials → revenue ≈ $164 (reported calculation).
• Payout & cash flow:
  • Apple payout lag: 30–45 days; founder fronted ad spend temporarily.
  • Enabling 3‑day billing grace period recovered ~10% extra revenue.
• Ad performance:
  • Some creatives achieved < $0.10 cost-per-download (for specific creative); aggregate CPI varied.
  • Initial ad tests lost money until onboarding/trial experience demonstrated value.
• Profit calculation:
  • Profit = revenue − Apple fee (15% small-business program) − ad spend.
  • Project reached >$2,000 profit/month target by ~day 57 (assisted by ad credits and better conversion).

Concrete examples, case studies & actionable recommendations

• Idea selection:
  • Pick a proven app category and a narrow niche (example: affirmations + Nordic winter) to differentiate.
  • Action: scan top‑grossing app categories and choose a replicable single‑feature MVP.
• Design & brand:
  • Create a mascot to humanize the product (GPT + designer tutorials used).
  • Use Dribbble for UI inspiration and prototype in Figma before coding.
• Technical scope reduction:
  • Start with local device storage (no signup) to avoid backend complexity.
  • Use Expo for rapid cross‑platform development; implement native modules only when necessary (widgets, TikTok SDK).
• Monetization setup:
  • Use RevenueCat for subscription logic, receipt validation and paywall experiments.
  • Offer monthly + yearly plans and a short free trial to boost trial uptake.
  • Opt into Apple Small Business Program when eligible and enable billing grace period to recover failed payments.
• Analytics & experiments:
  • Instrument onboarding screen-by-screen to find drop-off points.
  • A/B test onboarding variants (example: removing one screen increased completion and conversions).
  • A/B test paywall design/messaging via RevenueCat.
• ASO & acquisition:
  • Use an ASO tool (Astro) for keyword research: target popularity >20 and difficulty <50.
  • Include 2–3 primary keywords in title + subtitle; add supporting secondary keywords.
  • Test icons and screenshots via App Store Product Page Optimization.
• Ads & creatives:
  • Test multiple short creatives and formats (POV, product demo, transformation). Post 10–20 variations and double down on winners.
  • Integrate conversion tracking (TikTok SDK) before scaling spend; track install, app open, trial start.
  • Schedule ad delivery to hours with highest trial conversion.
  • Use promotional credits (TikTok, Apple) to extend runway.
• Community & earned channels:
  • Use own YouTube and short videos to drive early downloads.
  • Participate in relevant communities (Reddit, Telegram, WeChat); one organic share yielded substantial downloads.
  • Pitch technical/feature stories (e.g., Expo article on widgets) for earned media.
• Operational tips:
  • Use Transporter for faster App Store uploads (faster than EAS queue for App Store-only submissions).
  • Respond to negative reviews with clear guidance — public responses can help perception and conversions.
  • Localize creatives/UI to improve conversion in non-English markets (Norwegian testing planned).
  • Use progress bars and commitment steps during onboarding to lift completion and conversion.

Failures, learnings and tradeoffs

• Failure modes:
  • Overly long onboarding reduced completion.
  • Incorrect App Store privacy toggles caused an initial rejection.
  • Early ad spend was wasted when onboarding/trial did not communicate value quickly.
• Key learnings:
  • The biggest revenue lever is onboarding — “spend ~90% of your time optimizing onboarding.”
  • Small UX changes (remove a screen, add progress, add commitment step) can produce large conversion lifts.
  • Instrumentation and experimentation are essential before scaling paid acquisition.
  • Plan for app store payout delays (30–45 days) or arrange bridging cash; some services can advance payouts.

Concrete next steps / playbook (replicable)

1. Idea + competitor audit: pick a proven category + niche angle → ~1 day.
2. Design quick Figma prototypes + brand (mascot) → ~1–2 days.
3. Build MVP with Expo; avoid signup, store data on device; add notifications & widgets if relevant → 1–3 weeks.
4. Configure subscriptions with RevenueCat; set monthly/yearly and short trial.
5. Instrument product funnel (onboarding screens, permission prompts, trial start) and build a dashboard.
6. Launch minimal landing page + App Store assets; run ASO research (Astro) to select keywords.
7. Drive initial downloads via organic creator content and community posts; measure who converts.
8. Run small paid test campaign (TikTok) only after onboarding is rock-solid and SDK tracking works; test many creatives and restrict ad schedule to top conversion hours.
9. A/B test paywalls and onboarding; keep the best combination before scaling ad spend.
10. Monitor daily: downloads, onboarding completion, download→trial, trial→paid, churn, revenue, CAC, LTV. Use metrics to decide scaling.

Financial & scaling notes

• Margin assumptions: Apple Small Business Program reduces App Store fee to 15% — use this for modeling when eligible.
• Cash flow: Apple payouts lag 30–45 days — budget to front ad spend or use third‑party financing.
• Scaling lever: once onboarding & paywall are optimized, increase ad spend and reinvest revenue into creatives and higher budgets.
• Cost sensitivities: creative quality and attribution setup heavily impact CPI/CAC; mismatch between ad promise and in‑app experience reduces conversion.

Presenters and referenced tools / sources

• Presenter / case study: Arthur (creator / founder of Glow)
• Tools & references: Figma, Dribbble, Expo (React Native), Swift (widgets), Jitter (animation), RevenueCat, PostHog, Astro (ASO), TikTok (ads + events SDK), Transporter, Superwall (paywall inspiration), Gemini API (text-to-speech), Supabase, Reddit/Telegram/WeChat, GPT (mascot ideation), Chris Rarok (mascot tutorial reference).

Bottom line: Ship a focused MVP fast, instrument the onboarding funnel, run systematic A/B experiments, and only scale paid acquisition once onboarding → trial → paid conversions are validated and profitable.