Django_Affiliate_Marketing_Automation
🥈SilverIt is an affiliate marketing automation project. It is fully automated and written in Django.
950Updated 3d ago
Intermediate30min to implementmarketing
Saves ~240 min per use
Quick InstallView Source
git clone https://github.com/andreireporter13/Django_Affiliate_Marketing_Automation.gitWorks with:
Claude
Overview
About This Skill
The Django_Affiliate_Marketing_Automation skill is a powerful tool designed to streamline affiliate marketing processes through full automation. Built on the Django framework, this skill allows users to set up and manage affiliate marketing campaigns with minimal manual intervention. By leveraging Django's robust capabilities, users can create a seamless workflow that integrates various marketing channels, enabling efficient tracking and reporting of affiliate performance. One of the key benefits of this skill is the significant time savings it offers. Although the exact time savings are not quantified, the automation of repetitive tasks such as link management, performance tracking, and reporting can drastically reduce the workload for marketing teams. This allows marketers to focus on strategic initiatives rather than getting bogged down in routine tasks. With an implementation time of just 30 minutes, this skill is accessible for those with intermediate technical expertise, making it a practical choice for busy professionals. This skill is particularly beneficial for marketers, product managers, and AI practitioners who are looking to enhance their affiliate marketing strategies. It fits well within AI-first workflows by automating data-driven decisions and optimizing marketing efforts. For example, a marketing team could use this skill to automatically generate performance reports, analyze which affiliates are driving the most traffic, and adjust their strategies accordingly without manual input. Implementing the Django_Affiliate_Marketing_Automation skill requires an intermediate understanding of Django and web development principles. While the skill is not verified and has a modest number of GitHub stars, its potential for high GTM relevance makes it a valuable addition to any marketing tech stack. By incorporating this skill into your workflow, you can significantly enhance your affiliate marketing efforts and drive better results with less effort.
How to Use
1. **Set Up the Django Project**: Clone the [Django Affiliate Marketing Automation template](https://github.com/example/django-affiliate-template) or integrate the provided models into your existing Django project. Run `python manage.py makemigrations` and `python manage.py migrate` to create the database tables. 2. **Configure Affiliate Onboarding**: Customize the `Affiliate` model fields (e.g., `niche`, `payment_method`) to match your product categories and payout preferences. Use Django-allauth for social login or extend the registration form with custom fields. 3. **Integrate Tracking and Payouts**: - For e-commerce platforms (Shopify, WooCommerce), set up webhooks to POST sale data to `/affiliate/webhook/` (endpoint provided in the template). - Configure Celery with Redis/RabbitMQ for background tasks (weekly payouts, fraud checks). - Set up Stripe/PayPal API keys in `settings.py` and test payouts in sandbox mode. 4. **Enable Fraud Detection**: Add the fraud detection middleware to `MIDDLEWARE` in `settings.py`. Adjust rules (e.g., `max_failed_logins`, `min_sale_amount`) based on your risk tolerance. Monitor logs with `python manage.py runserver --noreload` to catch suspicious activity early. 5. **Deploy and Monitor**: Deploy to a staging environment first. Use Django-debug-toolbar to inspect database queries and Celery Flower to monitor task queues. Set up Google Analytics 4 to track affiliate link clicks and conversions. **Tips:** - Start with a small group of affiliates (e.g., 10-20) to test the workflow before scaling. - Use Django’s `@login_required` decorator to restrict affiliate dashboard access. - For high-traffic sites, optimize the `AffiliateSale` model with database indexing on `affiliate_id` and `status`.
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/andreireporter13/Django_Affiliate_Marketing_AutomationRequirements
- 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
Act as a Django Affiliate Marketing Automation expert. Create a fully automated affiliate marketing workflow for [PRODUCT/NICHE]. Include steps for: (1) Affiliate onboarding with [ONBOARDING_METHOD], (2) Automated commission tracking using [TRACKING_METHOD], (3) Performance-based payouts with [PAYMENT_GATEWAY], and (4) Fraud detection using [FRAUD_DETECTION_RULES]. Provide the Django code snippets for each component and explain how to integrate them into an existing Django project.
Example Output
### Django Affiliate Marketing Automation Workflow for Fitness Supplements
**1. Affiliate Onboarding**
We automated the onboarding process for fitness supplement affiliates using Django-allauth for social login and custom middleware to validate fitness-related credentials (e.g., personal trainer certification). Affiliates sign up via `/affiliate/register` with fields for niche expertise, social media handles, and preferred payment method. The system auto-generates a unique 8-character affiliate code (e.g., `FIT-7X9K`) and emails them a welcome kit with banner ads and tracking links.
**2. Commission Tracking**
Implemented a Django model `AffiliateSale` with fields: `affiliate_id` (FK), `product_sku`, `sale_amount`, `commission_rate`, `tracking_cookie_expiry` (set to 30 days), and `status` (pending/paid/rejected). Used Django signals to update commission status when a sale is confirmed via webhook from the Shopify store (our e-commerce platform). The system calculates commissions in real-time using a custom `calculate_commission()` method that applies tiered rates (10% for <100 sales/month, 15% for 100-500, 20% for 500+).
**3. Performance-Based Payouts**
Integrated Stripe for automated payouts. A Celery task runs every Sunday at 2 AM to:
- Query all affiliates with pending commissions > $50
- Generate Stripe payout batches (to minimize fees)
- Send email notifications with payout summaries
- Update the `AffiliateSale` status to "paid"
**4. Fraud Detection**
Added fraud detection rules in Django middleware:
- Block IP addresses with >3 failed logins in 5 minutes
- Flag sales with identical affiliate codes, product SKUs, and sale amounts within 1 minute
- Require 2FA for affiliates with >$1000 in pending commissions
- Use Django-debug-toolbar to monitor suspicious patterns (e.g., 50 sales from the same IP in 10 minutes)
**Django Code Snippets:**
```python
# models.py
class Affiliate(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
affiliate_code = models.CharField(max_length=8, unique=True)
niche = models.CharField(max_length=50, choices=[('fitness', 'Fitness'), ('nutrition', 'Nutrition')])
payment_method = models.CharField(max_length=20, choices=[('paypal', 'PayPal'), ('stripe', 'Stripe')])
is_verified = models.BooleanField(default=False)
class AffiliateSale(models.Model):
affiliate = models.ForeignKey(Affiliate, on_delete=models.CASCADE)
product_sku = models.CharField(max_length=20)
sale_amount = models.DecimalField(max_digits=10, decimal_places=2)
commission_rate = models.DecimalField(max_digits=5, decimal_places=2)
tracking_cookie_expiry = models.DateTimeField()
status = models.CharField(max_length=20, choices=[('pending', 'Pending'), ('paid', 'Paid'), ('rejected', 'Rejected')])
created_at = models.DateTimeField(auto_now_add=True)
```
```python
# tasks.py (Celery)
@shared_task
def process_weekly_payouts():
pending_sales = AffiliateSale.objects.filter(status='pending', sale_amount__gte=50)
for sale in pending_sales:
payout = stripe.Payout.create(
amount=int(sale.sale_amount * 100), # Convert to cents
currency='usd',
destination=sale.affiliate.payment_method,
statement_descriptor='FIT-AFFILIATE'
)
sale.status = 'paid'
sale.save()
```
**Integration Steps:**
1. Install dependencies: `pip install django-allauth django-celery-results stripe`
2. Add `Affiliate` and `AffiliateSale` models to your Django project
3. Configure Celery beat for weekly payouts in `celery.py`
4. Set up Stripe webhooks to confirm sales via `/affiliate/webhook/`
5. Deploy with `python manage.py migrate` and test with a sandbox affiliate account.Apply to these tools
Browse all toolsCompatible MCP servers
Browse all MCP servers
Find the right skills for your stack
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan