AI crafts re-engagement emails that address why each customer left and what's changed since. Personalized outreach, not mass blasts.
Churned customers rarely return because generic win-back emails don't address their specific pain points. A 'we miss you' email with a 10% discount doesn't acknowledge the feature gap or service issue that caused them to leave. Without personalization at the individual level, win-back campaigns have low single-digit conversion rates.
MultiMail's AI agent analyzes each churned customer's usage history, support interactions, and churn signals to understand why they left. It drafts personalized win-back emails that address their specific concerns and highlight relevant improvements since their departure. Gated_send oversight lets your team review messaging before it reaches former customers.
Your AI agent monitors your customer database for churn events — cancelled subscriptions, expired accounts, or inactivity thresholds. Each churned customer is queued for win-back analysis.
The agent uses search_contacts and get_thread to review the customer's history: what features they used, what support issues they had, and any explicit feedback about why they cancelled.
The AI cross-references the customer's churn reasons with your product changelog. If they left because of a missing feature that's since been shipped, that becomes the centerpiece of the win-back message.
The agent drafts a win-back email that acknowledges the customer's history, addresses their specific concern, and presents a compelling reason to return. The draft is queued for review via gated_send.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def analyze_churned_customer(customer_email: str) -> dict:
"cm"># Look up contact history in MultiMail
contacts = requests.get(
f"{API}/contacts/search",
headers=HEADERS,
params={"email": customer_email}
).json()
contact = contacts["contacts"][0]
"cm"># Get their email history for churn signals
inbox = requests.get(
f"{API}/mailboxes/support-mailbox-id/inbox",
headers=HEADERS,
params={"from": customer_email, "limit": 50}
).json()
return {
"contact": contact,
"support_history": inbox["emails"],
"churn_reason": extract_churn_reason(inbox["emails"]),
"features_used": contact.get("metadata", {}).get("features", [])
}Find churned customers and gather context about their departure.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def send_winback(analysis: dict, product_updates: list):
"cm"># Match churn reason to relevant product updates
relevant_updates = match_updates(
analysis["churn_reason"], product_updates
)
winback_email = generate_winback(
name=analysis["contact"]["name"],
churn_reason=analysis["churn_reason"],
updates=relevant_updates,
past_usage=analysis["features_used"]
)
"cm"># Send via MultiMail (queued for team review)
response = requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": analysis["contact"]["email"],
"subject": winback_email["subject"],
"text_body": winback_email["body"],
"html_body": winback_email["html_body"]
}
)
print(f"Win-back draft queued: {response.json()[&"cm">#039;id']}")Generate a win-back email addressing the customer's specific churn reason.
"cm">// Using MultiMail MCP tools for win-back campaigns
"cm">// 1. Look up churned customer history
const contact = await mcp.search_contacts({
query: "[email protected]"
});
"cm">// 2. Check their support/email history
const inbox = await mcp.check_inbox({
mailbox_id: "support-mailbox-id",
filter_from: contact.email,
limit: 50
});
"cm">// 3. Analyze churn context
const churnReason = analyzeChurnReason(inbox.emails);
const relevantUpdates = matchProductUpdates(churnReason);
"cm">// 4. Send personalized win-back (queued for review)
await mcp.send_email({
to: contact.email,
subject: `We shipped ${relevantUpdates[0].feature}, ${contact.name}`,
text_body: generateWinbackBody(contact, churnReason, relevantUpdates)
});
"cm">// 5. Track the campaign
await mcp.add_contact({
email: contact.email,
tags: ["winback-sent", `reason-${churnReason.category}`]
});Run win-back campaigns using MultiMail MCP tools.
Every win-back email references the customer's actual usage patterns and specific reasons for leaving. This isn't a mail merge — it's a message that shows you listened.
When you ship a feature that a churned customer asked for, the AI connects the dots and drafts the outreach automatically. You never miss a win-back opportunity.
Gated send oversight ensures your team reviews every win-back message. Reaching out to former customers requires the right tone — the AI drafts, your team approves.
The analysis phase surfaces patterns in why customers leave. Even when the win-back doesn't convert, the churn reason data informs product decisions.
Email infrastructure built for AI agents. Verifiable identity, graduated oversight, and a 38-tool MCP server. Formally verified in Lean 4.