--- title: "Revenue Estimation Toolkit" description: "Revenue estimation is critical for deciding whether an opportunity is worth pursuing. Never rely on a single method — triangulate from multiple sources." type: skill canonical_url: https://claudary.paisolsolutions.com/skills/revenue-estimation source: "Claudary" difficulty: intermediate author: "Claude Code Knowledge Pack" date: 2026-07-10T11:47:22.256Z license: CC-BY-4.0 attribution: "Revenue Estimation Toolkit — Claudary (https://claudary.paisolsolutions.com/skills/revenue-estimation)" --- # Revenue Estimation Toolkit Revenue estimation is critical for deciding whether an opportunity is worth pursuing. Never rely on a single method — triangulate from multiple sources. ## Overview # Revenue Estimation Toolkit Revenue estimation is critical for deciding whether an opportunity is worth pursuing. Never rely on a single method — triangulate from multiple sources. ## Method 1: Rating-Count Proxy iOS doesn't show download counts, but rating counts are a useful proxy. ### The Formula ``` Estimated downloads = rating_count × multiplier ``` | App Type | Multiplier | Reasoning | | --------------------- | ---------- | -------------------------------------------- | | Free apps (no prompt) | × 80-120 | Few users bother to rate | | Free apps (prompted) | × 40-60 | Rating prompts increase rate | | Paid apps | × 20-40 | Paying users rate more often | | Subscription apps | × 30-50 | Mix of prompted and organic | ### Confidence Levels | Rating Count | Confidence | Notes | | ------------ | ---------- | --------------------------------------------- | | >10,000 | High | Large sample, multiplier is reliable | | 1,000-10,000 | Medium | Reasonable estimate, ±30% margin | | 100-1,000 | Low | Wide variance, use as directional only | | <100 | Very Low | Could be new, niche, or genuinely unpopular | ### Example Calculation App with 5,000 ratings (subscription, uses rating prompts): - Estimated downloads: 5,000 × 40 = 200,000 - At 5% conversion to paid: 10,000 paying users - At $14.99/yr: ~$150K/yr = ~$12.5K/mo **Important:** This is a rough estimate. Always cross-reference with other methods. ## Method 2: App Store Chart Position Chart position correlates with daily downloads: | Chart Position (US) | Estimated Daily Downloads | Notes | | -------------------- | ------------------------- | ------------------------- | | Top 10 Overall | 30,000-100,000+ | Major apps only | | Top 50 Overall | 10,000-30,000 | Significant traction | | Top 10 Category | 2,000-10,000 | Category leader | | Top 50 Category | 500-2,000 | Solid performer | | Top 100 Category | 200-500 | Moderate traction | | Top 200 Category | 50-200 | Baseline visibility | These numbers vary significantly by category. Health & Fitness top 10 is very different from Board Games top 10. ## Method 3: Public Revenue Data Sources ### Direct Revenue Reports - **IndieHackers.com:** Filter by iOS apps, many share exact MRR - **Twitter #buildinpublic:** Indie devs post monthly revenue screenshots - **RevenueCat blog:** "State of Subscription Apps" annual reports with aggregate data by category - **Sub Club podcast:** Founders share revenue numbers openly - **AppFigures/Sensor Tower blogs:** Occasional free category reports ### Search Patterns ``` "{app name}" revenue OR MRR OR ARR "{app name}" "monthly revenue" site:indiehackers.com "{category}" revenue ios site:twitter.com "{app name}" revenue "{category} app" "$" "per month" site:reddit.com ``` ### Known Indie iOS Revenue Data Points (Reference) | App | Category | Revenue | Model | Team Size | | ---------------- | ---------------- | ------------- | ------------ | --------- | | Rootd | Health/Anxiety | $1M+ total | Subscription | 1 person | | Daylio | Mood tracker | ~$50K/mo | Freemium | Small | | Finch | Self-care | ~$2M/mo | Subscription | Small | | Calm | Meditation | $100M+/yr | Subscription | Company | | Wipr | Ad blocker | Undisclosed | One-time $2 | 1 person | | 1Blocker | Ad blocker | $3-5M/yr | Subscription | Small | | Carrot Weather | Weather | ~$20K/mo | Subscription | 1 person | | Halide | Camera | Undisclosed | One-time | 2 people | | Streaks | Habit tracker | Undisclosed | One-time $5 | 1 person | | Dark Noise | Sound machine | ~$3-5K/mo | One-time | 1 person | ## Method 4: Competitor Pricing Reverse Engineering If competitors charge subscription prices, you can estimate their revenue floor: ``` Minimum viable revenue = team_size × $100K/yr (rough salary cost) ``` If a 5-person company charges $9.99/mo, they need at minimum: - $500K/yr revenue to survive - = ~4,200 active subscribers - = probably 40,000-80,000 total downloads (at 5-10% conversion) This gives you a floor estimate of market size. ## Method 5: Revenue Modeling Template For your own opportunity, build a simple model: ``` Monthly Revenue = Downloads/mo × Trial Start Rate × Trial→Paid Rate × Price/mo Example: - ASO + marketing drives 3,000 downloads/mo - 40% start free trial = 1,200 trials - 20% convert to paid = 240 new subscribers/mo - At $14.99/yr ($1.25/mo effective) = $300/mo new MRR - With 5% monthly churn, steady state ≈ 4,800 subscribers - Steady state revenue ≈ $6,000/mo Lifetime model alternative: - 3,000 downloads/mo - 15% buy lifetime at $39.99 = 450 purchases = $18,000/mo ``` Adjust assumptions based on category benchmarks in [benchmarks.md](benchmarks.md). ## Revenue Red Flags - No competitor in the category charges more than $2.99 (low WTP ceiling) - Top apps are free with no in-app purchases (users expect free) - Category is dominated by ad-supported apps (race to the bottom) - All subscription competitors have "too expensive" as the #1 complaint - Category has a strong free open-source alternative ## Revenue Green Flags - Multiple competitors successfully charge $9.99+/mo (proven WTP) - Users in Reddit threads say "I'd gladly pay for..." - Competitor with poor quality still makes money (market will support better product) - Category has high switching costs (data lock-in, learning curve) - Problem is painful enough that money is not the primary objection --- Source: [Claudary](https://claudary.paisolsolutions.com/skills/revenue-estimation) · https://claudary.paisolsolutions.com