The Complete Design for Automated Revenue Pipelines in Rork Apps— 5 Engines That Earn While You Sleep

// hooks/useSmartAd.ts
// Select optimal ad format based on user behavior
 
type AdFormat = 'banner' | 'interstitial' | 'rewarded' | 'native';
 
interface AdDecision {
  format: AdFormat;
  timing: number; // Delay before showing (seconds)
  frequency: number; // Max impressions per session
}
 
function decideAdStrategy(userProfile: UserProfile): AdDecision {
  // Subscribers → no ads (prioritize experience)
  if (userProfile.isSubscriber) {
    return { format: 'banner', timing: 0, frequency: 0 };
  }
 
  // Heavy users (3+ daily sessions) → rewarded ads
  if (userProfile.dailySessions >= 3) {
    return {
      format: 'rewarded',
      timing: 30,
      frequency: 3,
    };
  }
 
  // Light users → conservative interstitials
  return {
    format: 'interstitial',
    timing: 60,
    frequency: 1,
  };
}

// scripts/dynamic-pricing.ts
// Price optimization using App Store Connect API
 
interface PricingData {
  region: string;
  currentPrice: number;
  conversionRate: number;
  avgRevenuePerUser: number;
  competitorPrice: number;
}
 
function calculateOptimalPrice(data: PricingData): number {
  // Base: 90% of competitor average (slightly undercut)
  let basePrice = data.competitorPrice * 0.9;
 
  // Low conversion regions → reduce price
  if (data.conversionRate < 0.02) {
    basePrice *= 0.7; // 30% discount
  }
 
  // High ARPU regions → maintain or increase
  if (data.avgRevenuePerUser > basePrice * 3) {
    basePrice *= 1.1;
  }
 
  // Round to App Store pricing tier
  return roundToAppStoreTier(basePrice, data.region);
}

// components/SupportChat.tsx
 
async function handleSupportQuery(
  query: string,
  category: string
): Promise<SupportResponse> {
  // Search FAQ database for similar questions
  const similarFAQs = await searchFAQs(query, category);
 
  if (similarFAQs.length > 0 && similarFAQs[0].similarity > 0.85) {
    // 85%+ match → return FAQ answer
    return {
      answer: similarFAQs[0].answer,
      confidence: 'high',
      escalate: false,
    };
  }
 
  // No FAQ match → generate AI response
  const aiResponse = await generateAIResponse(query, category);
 
  // Low confidence → escalate to human
  if (aiResponse.confidence === 'low') {
    await createSupportTicket(query, category);
    return {
      answer: 'Thanks for your question. Our team will respond within 24 hours.',
      confidence: 'low',
      escalate: true,
    };
  }
 
  return aiResponse;
}

// scripts/review-analyzer.ts
// Fetch reviews from App Store Connect and extract insights
 
async function analyzeReviews(): Promise<ReviewInsight[]> {
  // Fetch last 30 days of reviews
  const reviews = await fetchAppStoreReviews({ days: 30 });
 
  // Classify and aggregate with AI
  const analysis = await anthropic.messages.create({
    model: 'claude-sonnet-4-6',
    max_tokens: 4096,
    system: `Analyze App Store reviews and return a JSON array:
- category: bug / feature_request / ux_issue / praise
- summary: Brief description of the issue
- frequency: Number of similar mentions
- impact: high / medium / low
- suggestedAction: Recommended next step`,
    messages: [{
      role: 'user',
      content: `Analyze these reviews:\n${reviews.map(r => `★${r.rating}: ${r.text}`).join('\n')}`,
    }],
  });
 
  return JSON.parse(analysis.content[0].text);
}
 
// Auto-run weekly → create GitHub Issues for dev tasks
// cron: "0 9 * * 1"