Update 08-Marketing Reports & Ads Optimization.md

docs/use-cases/08-Marketing Reports & Ads Optimization.md

@@ -102,24 +102,182 @@ const reportGenerator = new Agent({
 
 // === TASKS ===
 const tasks = [
+  // Task 1: Content Analysis
   new Task({
-    description: `Analyze the provided URL: {url} and extract key information.`,
+    description: `Analyze both the main URL: {url} and the specific landing page: {ad_destination_url} using the url_markdown_tool.
+
+Required information to extract:
+1. Website type analysis (identify if it's an ecommerce)
+2. Specific analysis for {service_to_promote}:
+   - Key features and benefits
+   - Pricing information if available
+   - Unique selling points
+   - Technical specifications
+   - Service guarantees or warranties
+
+3. Landing page specific elements ({ad_destination_url}):
+   - Main call to action
+   - Conversion elements
+   - Trust signals
+   - Testimonials or social proof
+   - Service-specific benefits
+
+4. Generate keywords focused on {service_to_promote}:
+   For ecommerce:
+   - Transactional keywords specific to the product/service
+   - Price-oriented terms for this specific service
+   - Product-specific features and specs
+   For non-ecommerce:
+   - Service-specific benefit keywords
+   - Problem-solution keywords
+   - Industry-specific terms
+
+5. Generate 10 longtail variations for {service_to_promote}:
+   - Include specific features
+   - Add location modifiers if relevant
+   - Use buying intent modifiers
+   - Include pricing terms if applicable
+
+Language: {language}`,
+    expectedOutput: `Output in markdown format with titles and lists for easy reading.
+- Website Type: [Ecommerce/Non-ecommerce]
+- Service Analysis for {service_to_promote}: [Key features and benefits]
+- Landing Page Analysis: [Key conversion elements from {ad_destination_url}]
+- Primary Keywords: [at least 10 keywords focused on {service_to_promote}]
+- Longtail Keywords: [10 variations specific to {service_to_promote}]`,
     agent: contentAnalyzer,
     priority: 1
   }),
+
+  // Task 2: Ad Generation
   new Task({
-    description: `Generate a complete marketing report and optimized ads using extracted information.`,
+    description: `Using the analyzed information, generate optimized ads specifically for {service_to_promote}.
+
+Make sure to:
+1. Create Service-Specific Ads for {service_to_promote}:
+   - Identify and address key pain points:
+     * Current frustrations
+     * Common challenges
+     * Industry problems
+     * Time-wasting issues
+     * Cost-related concerns
+     * Quality concerns
+     * Process inefficiencies
+
+   - Structure headlines as Problem > Solution:
+     * "Tired of [Pain Point]? > Discover [Solution]"
+     * "Struggling with [Problem]? > Get [Benefit]"
+     * "Fed up with [Issue]? > Try [Solution]"
+     * "[Pain Point] Problems? > We Fix That"
+
+   - Use description lines to:
+     * Acknowledge the pain ("We know [pain point] is frustrating")
+     * Present the solution ("Our [service] eliminates [problem]")
+     * Show the benefit ("Save [X] time/money")
+     * Provide proof ("Join [X] satisfied customers")
+
+   - Pain-focused CTAs:
+     * "Stop [Pain Point] Today"
+     * "End My [Problem] Now"
+     * "Fix My [Issue] Fast"
+     * "Solve My [Challenge]"
+     * "Free Me From [Pain Point]"
+
+2. Create Problem-Solution Variations:
+   ### Pain Point Focus Ad
+   - **Headline 1:** [Identify Pain Point]
+   - **Headline 2:** [Present Solution]
+   - **Description 1:** [Empathize + Solution]
+   - **Description 2:** [Benefit + Proof]
+   - **CTA:** [Pain Resolution Action]
+
+   ### Solution Focus Ad
+   - **Headline 1:** [Solution to Pain]
+   - **Headline 2:** [Unique Benefit]
+   - **Description 1:** [How We Solve It]
+   - **Description 2:** [Success Proof]
+   - **CTA:** [Get Solution Now]
+
+   ### Emotional Relief Ad
+   - **Headline 1:** [Emotional Pain Point]
+   - **Headline 2:** [Emotional Relief]
+   - **Description 1:** [Understanding + Solution]
+   - **Description 2:** [Transformation Story]
+   - **CTA:** [Transform Now]
+
+3. Pain Point Keywords:
+   - Include problem-specific terms
+   - Use "fix", "solve", "eliminate" modifiers
+   - Add "vs", "alternative to" comparisons
+   - Include "prevent", "avoid", "stop" variations
+
+4. All ads should:
+   - Use headlines that validate customer pain points
+   - Show immediate relief or solution
+   - Include proof of problem resolution
+   - Use empathetic language
+   - Demonstrate understanding of the issue
+   - Offer clear path to solution
+
+5. Provide specific recommendations for:
+   - Best performing ad elements from landing page
+   - Keyword insertion opportunities
+   - A/B testing variations based on landing page content
+   - Quality Score optimization based on landing page relevance
+
+6. Negative keywords specific to {service_to_promote}
+
+Language: {language}`,
     agent: reportGenerator,
-    priority: 2
-  })
+    priority: 2,
+    expectedOutput: `
+[![Nimbox Logo](https://crm.nimboxcrm.cloud/uploads/company/9e85677a40aafa432269e8b241f4ddae.png)](https://nimbox360.com)
+
+# Ad Campaign for {service_to_promote}
+*Generated by [Nimbox360](https://nimbox360.com) with KaibanJS*
+
+## Service-Specific Ads
+### Primary Ad
+- **Headline 1:** [Based on {service_to_promote} USP]
+- **Headline 2:** [Feature from landing page]
+- **Description 1:** [Benefits from {ad_destination_url}]
+- **Description 2:** [CTA matching landing page]
+- **Final URL:** {ad_destination_url}
+
+### Secondary Ad
+- **Headline 1:** [Alternative {service_to_promote} USP]
+- **Headline 2:** [Social proof from landing page]
+- **Description 1:** [Different benefit angle]
+- **Description 2:** [Alternative CTA]
+- **Final URL:** {ad_destination_url}
+
+## Brand Variation Ads
+[Similar structure with brand focus]
+
+## Optimization Recommendations
+[Based on landing page analysis]`
+  }),
 ];
 
 // === TEAM ===
 const team = new Team({
   name: 'Marketing Ads Team',
-  agents: [contentAnalyzer, reportGenerator],
+  agents: [
+    contentAnalyzer,
+    reportGenerator
+  ],
   tasks: tasks,
-  inputs: { url: 'https://example.com', language: 'en' }
+  inputs: {
+    url: 'https://nimbox360.com', // URL to analyze
+    company_name: 'Nimbox360', // Company name
+    language: 'en', // Options: 'en' for English, 'es' for Spanish
+    ad_destination_url: '', // Specific landing page for the ad
+    service_to_promote: '', // Specific service or product to promote in the ad
+  },
+  env: {
+    OPENAI_API_KEY: import.meta.env.VITE_OPENAI_API_KEY ?? (() => { throw new Error('OPENAI_API_KEY is required') })(),
+    GOOGLE_API_KEY: import.meta.env.GOOGLE_API_KEY || null,
+  }
 });
 
 export default team;
@@ -145,6 +303,7 @@ Ready to streamline your marketing workflows? Explore KaibanJS and elevate your
 💻 **GitHub Repository**: [KaibanJS on GitHub](https://github.com/kaiban-ai/KaibanJS)  
 🤝 **Discord Community**: [Join the Community](https://kaibanjs.com/discord)  
 
+Special thanks to **Aitor Roma** for his collaboration
 ---
 
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