How to Build an AI Win-Back Email System

This ai win-back email campaign automation targets people who bought before but stopped. They already trust you enough to buy once. Getting them back costs less than finding new customers.

The system identifies churned customers, classifies why they left, and writes personalized win-back sequences.

What You Need Before Starting

• Python 3.8+ with requests
• Anthropic API key
• ESP API access
• SQLite for tracking

Step 1: Set Up Data Collection

import sqlite3
from datetime import datetime

db = sqlite3.connect("email_system.db")
db.execute('''CREATE TABLE IF NOT EXISTS email_data (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    email TEXT, metric TEXT, value REAL,
    created_at TEXT
)''')
db.commit()

Step 2: Build the AI Layer

import anthropic
from dotenv import load_dotenv

load_dotenv()
client = anthropic.Anthropic()

def process_email_data(input_data, task_type):
    message = client.messages.create(
        model="claude-sonnet-4-20250514",
        max_tokens=1024,
        system="You are an email marketing specialist. Generate actionable outputs.",
        messages=[{"role": "user", "content": f"Task: {task_type}. Data: {input_data}."}]
    )
    return message.content[0].text

Step 3: Connect to ESP

import requests
import os

def esp_action(endpoint, payload):
    return requests.post(
        f"https://api.convertkit.com/v3/{endpoint}",
        json={**payload, "api_key": os.getenv("ESP_API_KEY")}
    ).json()

Step 4: Schedule and Monitor

def daily_report():
    rows = db.execute("SELECT metric, AVG(value) FROM email_data WHERE created_at > date('now', '-1 day') GROUP BY metric").fetchall()
    for metric, avg in rows:
        print(f"{metric}: {avg:.2f}")

0 7 * * * cd /app && python run_email_system.py

What to Build Next

Add performance benchmarking that compares your metrics against industry averages and flags when you fall below standard.

Related Reading

• AI for Email Marketing Automation - how AI transforms email marketing operations
• Lead Scoring with AI - framework for deciding what to automate first
• AI in CRM: Beyond Contact Storage - framework for deciding what to automate first