earnshare
🥈SilverEarnshare is an AI-powered affiliate marketing automation platform I am designing to streamline affiliate campaigns across multiple networks. The platform centralizes all affiliate accounts into a single dashboard, providing tools like AI-generated content, ad creatives, performance analytics, audience targeting, and campaign optimization.
500Updated Yesterday
Intermediate30min to implementmarketing
Saves ~150 min per use
Quick InstallView Source
git clone https://github.com/divinepatrick/earnshare.gitWorks with:
Claude
Overview
About This Skill
Earnshare is an AI-powered affiliate marketing automation platform that centralizes multiple affiliate network accounts into a single dashboard. It provides tools for AI-generated content creation, ad creative generation, performance analytics, audience targeting, and campaign optimization. Designed to streamline affiliate campaign management across networks, Earnshare reduces the friction of juggling multiple platforms while enabling data-driven decision-making through unified analytics.
How to Use
1. **Define Your Campaign Parameters**: Fill in [PRODUCT_NAME], [TARGET_AUDIENCE], [INDUSTRY/NICHE], [PLATFORM], [BUDGET_AMOUNT], and [AFFILIATE_NETWORK] in the prompt template. Use your affiliate dashboard to pull product details and commission rates. 2. **Generate and Customize Creatives**: Run the prompt to create ad variations. Review the output for relevance, then tweak headlines/descriptions to match your brand voice. Test different angles (e.g., discount-focused vs. feature-focused) in your affiliate dashboard. 3. **Set Up Audience Targeting**: Use the suggested audience parameters as a starting point. Upload your CRM data to create lookalike audiences in your affiliate network (e.g., Facebook Ads Manager, Google Ads). Adjust age ranges and interests based on your product’s unique selling points. 4. **Implement Tracking and Optimization**: Deploy the affiliate links with UTM parameters for granular tracking. Monitor performance in your affiliate dashboard (e.g., ShareASale, CJ Affiliate) and your ad platform’s analytics. Pause underperforming ads after 3-5 days and scale winners by increasing budgets by 20-30% weekly. 5. **Scale and Iterate**: After 2 weeks, analyze top-performing creatives and audiences. Create new variations of the winning ads and test them against the originals. Use AI-generated insights to refine your targeting (e.g., exclude audiences with high bounce rates).
Use Cases
Consolidate affiliate accounts from multiple networks into one dashboard for centralized campaign management
Generate ad creatives and marketing content automatically to accelerate campaign deployment
Track affiliate performance metrics across all networks in a single analytics view
Target specific audiences and optimize campaigns using AI-driven insights
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/divinepatrick/earnshareRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Create a high-converting affiliate marketing campaign for [PRODUCT_NAME] targeting [TARGET_AUDIENCE] in [INDUSTRY/NICHE]. Generate 5 unique ad creatives (headlines + descriptions) optimized for [PLATFORM: Facebook/Instagram/TikTok/Google Ads]. Include audience targeting parameters (age, interests, demographics) and a suggested bid strategy for [BUDGET_AMOUNT]. Provide 3 variations of the affiliate link structure for [AFFILIATE_NETWORK].
Example Output
Affiliate Campaign Proposal: 'EcoGlow LED Strip Lights' for Home Decor Enthusiasts (Ages 25-45) Ad Creatives: 1. Headline: 'Transform Any Room in 60 Seconds! EcoGlow LED Strips Under $30' Description: 'Brighten your space with energy-efficient LED lighting. 100+ color options, easy peel-and-stick install. Limited-time 20% off for new customers!' Platform: Facebook/Instagram 2. Headline: 'The Secret to Cozy Living Rooms? Warm White LED Lighting' Description: 'Create the perfect ambiance with our dimmable LED strips. Works with Alexa & Google Home. 30-day money-back guarantee!' Platform: TikTok 3. Headline: 'Upgrade Your Home Lighting Without Breaking the Bank' Description: 'EcoGlow LED strips deliver premium lighting at discount prices. Free shipping on orders over $25. Click to claim your deal!' Platform: Google Ads Audience Targeting: - Age: 25-45 - Interests: Home Decor, Smart Home, Interior Design, Energy Efficiency - Demographics: Homeowners, Renters, Urban Dwellers - Lookalike Audiences: Based on existing customer data (uploaded from CRM) Bid Strategy: - Platform: Facebook Ads - Budget: $500/week - Bid Type: Lowest Cost with Bid Cap ($1.50 per click) - Optimization: Conversions (Purchase) Affiliate Link Variations: 1. Standard: https://www.ecoglow.com/affiliate?pid=12345&subid=home-decor-2024 2. Discount Code: https://www.ecoglow.com/affiliate?pid=12345&code=ECO20 3. UTM-Tracked: https://www.ecoglow.com/affiliate?pid=12345&utm_source=facebook&utm_medium=social&utm_campaign=home-decor-2024 Performance Benchmarks: - Expected CTR: 2.5-3.5% - Expected CPC: $0.80-$1.20 - Expected Conversion Rate: 3-5% - Expected ROAS: 4:1 (based on $29.99 product price, 30% commission) Campaign Timeline: - Week 1: Launch with 3 ad sets (lookalike, interest-based, broad) - Week 2: Optimize based on top-performing creatives and audiences - Week 3: Scale winning campaigns by 30% and test new audiences - Week 4: Pause underperforming ads and reallocate budget to top performers
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