Send AI-personalized win-back offers to customers at risk of leaving

Finds customers likely to churn each day and emails each one a personalized offer to bring them back.

How the work actually flows

A straight line. Runs once per one per at-risk customer.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(["runs every day"]):::trigtime s0[("read customer churn scores")]:::store s1["identify high-risk customers"]:::task s2[["generate personalized win-back offer"]]:::mi s3["email offer and log it"]:::svc trig --> s0 s0 --> s1 s1 -->|"one per one per at-risk customer"| s2 s2 --> s3 out[/"personalized win-back emails sent"/]:::out pay{{"retains at-risk customers automatically"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Email AutomationSpreadsheet & Database Ops
Connects
Google SheetsGmailGoogle Gemini

The problem it solves

By the time you notice a customer has gone quiet, they've often already moved to a competitor. Building a personalized offer for every at-risk customer by hand just isn't something a team can keep up with daily.

Who it fits

E-commerce or subscription businesses that track churn risk and want to win customers back before they leave.

How it works

  1. The automation runs automatically every day
  2. The system reads customer data and churn scores from a spreadsheet
  3. High-risk customers are identified
  4. AI generates a personalized offer based on each customer's score and preferences
  5. The offer is emailed to the customer and logged for tracking
What you get

Customers who accept your win-back offer

Customers at risk of leaving get a personalized offer by email before they have a chance to cancel.

What you get

Personalized win-back emails sent to at-risk customers, with every send logged.

What you need

A Google Sheets account, a Gmail account, and a Google Gemini API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Turn a lead list into personalized cold emails automatically

Reads leads from a spreadsheet, writes a custom email for each one with AI, and sends it through Gmail.

Standard

An AI assistant that sorts your inbox and processes invoices

Sorts your unread email, extracts data from invoices into a spreadsheet, and drafts replies for you.

Advanced

Create SEO content designed to get picked up by AI search

AI writes blog posts, newsletters, landing pages, and social posts built to rank with Google and AI tools like ChatGPT.

Advanced

Score job applicants automatically against your job description

Reads each resume, compares it to your job description, and gives every candidate a score, status, and comment.

Advanced
Back to the AI Playbook