Marketing Automation — Explained with Examples

# welcome_sequence.py
from datetime import datetime, timedelta

def create_welcome_sequence(lead_name, signup_source):
    sequence = [
        {
            "delay": timedelta(minutes=0),
            "subject": f"Welcome to DodaTech, {lead_name}!",
            "preview": "Your tutorial library awaits",
            "content": f"Hi {lead_name}, welcome to DodaTech! Start with our Spring tutorial.",
            "cta": "Start Learning",
            "cta_link": "https://dodatech.com/tutorials/"
        },
        {
            "delay": timedelta(days=2),
            "subject": "Your first project: Build with Java Streams",
            "preview": "Hands-on tutorial inside",
            "content": f"Hi {lead_name}, build a transaction processor in under 50 lines.",
            "cta": "Start the Project",
            "cta_link": "https://dodatech.com/tutorials/java/streams/"
        },
        {
            "delay": timedelta(days=5),
            "subject": "Security tip: 3 vulnerabilities you might miss",
            "preview": "From the Durga Antivirus team",
            "content": f"Hi {lead_name}, learn about SQL injection, secrets management, and CVEs.",
            "cta": "Read Security Guide",
            "cta_link": "https://dodatech.com/tutorials/security/"
        },
        {
            "delay": timedelta(days=7),
            "subject": f"{lead_name}, here's your free DodaZIP license",
            "preview": "Exclusive offer for subscribers",
            "content": f"Hi {lead_name}, claim your free 3-month DodaZIP Pro license.",
            "cta": "Claim Free License",
            "cta_link": "https://dodatech.com/dodazip/free?ref=welcome"
        },
        {
            "delay": timedelta(days=10),
            "subject": "How are your tutorials going?",
            "preview": "Help us improve",
            "content": f"Hi {lead_name}, we would love your feedback on our tutorials.",
            "cta": "Continue Learning",
            "cta_link": "https://dodatech.com/tutorials/"
        }
    ]

    print(f"Welcome Sequence for {lead_name}")
    print(f"Source: {signup_source}\n")

    schedule_time = datetime.now()
    for i, email in enumerate(sequence):
        if i > 0:
            schedule_time += email["delay"]
        print(f"Email {i+1}: {email['subject']}")
        print(f"  Scheduled: {schedule_time.strftime('%a, %b %d, %I:%M %p')}")
        print(f"  Preview: {email['preview']}")
        print(f"  CTA: {email['cta']}")
        print()

    print(f"Total: {len(sequence)} emails over 10 days")
    return sequence

create_welcome_sequence("Alex", "Java Tutorial Page")

# lead_scoring.py
class LeadScoringEngine:
    def __init__(self):
        self.weights = {
            'email_open': 5,
            'email_click': 15,
            'page_visit': 10,
            'tutorial_complete': 25,
            'tool_download': 30,
            'pricing_page': 40,
            'demo_request': 60,
            'purchase': 100
        }

    def calculate_score(self, actions):
        total = 0
        print("=== Lead Score Calculation ===")
        for action in actions:
            points = self.weights.get(action['type'], 0)
            total += points
            print(f"  {action['type']:25} +{points:3}  (from {action['source']})")
        print(f"  {'—' * 20}")
        print(f"  {'Total Score':25}  {total:3}")
        return total

    def classify(self, score):
        if score >= 100:
            return "HOT — Send to sales"
        elif score >= 50:
            return "WARM — Continue nurture with case studies"
        else:
            return "COLD — Send educational content"
        return category

# Simulate a lead's behavior
actions = [
    {'type': 'email_open', 'source': 'Welcome Email'},
    {'type': 'email_click', 'source': 'Welcome Email'},
    {'type': 'page_visit', 'source': 'Spring Tutorial'},
    {'type': 'tutorial_complete', 'source': 'Java Streams'},
    {'type': 'tool_download', 'source': 'DodaZIP Page'},
    {'type': 'pricing_page', 'source': 'Google Search'},
    {'type': 'demo_request', 'source': 'Pricing Page'},
]

engine = LeadScoringEngine()
score = engine.calculate_score(actions)
print(f"\nClassification: {engine.classify(score)}")