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CAFÉ · CUSTOMER AUTOMATION

Discover Ferbz’s AI‑Drafted Automation Journey to Win Back Café Customers

Learn how Ferbz's AI‑drafted automation boosts repeat visits for your café. Streamline win‑back messages and grow revenue with Ferbz.

8 MIN READ · FERBZ · SEPTEMBER 2026

01 / Read

What This Is

Ferbz’s AI‑drafted automation journey is the part of the platform that lets café and quick‑service shop owners turn a simple business goal—like “win back anyone who hasn’t ordered in 30 days”—into a fully built WhatsApp messaging flow without writing any code. The capability lives inside the Automation module.

When a customer’s order is completed in the Billing tab, Ferbz automatically creates a PDF receipt, stores the order against that customer’s profile, and starts the “reminder clock.” If the order matches the conditions you set for a win‑back campaign, the customer is enrolled in the corresponding automation journey. From that moment the system counts the trigger days (e.g., 30 days since the last order) and, when the count is reached, sends a WhatsApp message that you have prepared in advance.

The journey itself is built on a visual canvas. You describe the outcome in plain English, and Ferbz’s AI drafts the multi‑step sequence: a wait block, a message block, optional branching based on the customer’s reply, and a follow‑up message. All messages use your own branding and templates, and they are sent through the official WhatsApp Business API (partnered with Gupshup), so the delivery, read, and failure statuses appear in real time on the Reminders board.

Because every message consumes a prepaid credit from your wallet, you keep tight control over spend: each reminder, broadcast, or order confirmation draws from the same balance. There is no hidden monthly fee—just the cost of the credits you choose to top‑up.

In short, the AI‑drafted automation journey combines three Ferbz modules—Automation, Customers, and Reminders board—into a single, repeatable process that helps cafés spot silent churn, reach out at the right moment, and bring regulars back through a proven WhatsApp conversation flow.


02 / Read

How Cafés and Quick‑Service Shops Owners Use It

Below is a step‑by‑step walk‑through of setting up a win‑back automation journey for a typical Canadian café. Imagine “Maple Leaf Café,” a downtown Toronto spot that serves coffee, pastries, and a daily combo lunch.

  1. Log into the Ferbz dashboard and land on the main navigation bar. Click Automation.

  2. Create a new journey by pressing the “New Automation” button at the top right. A dialog appears with a plain‑English prompt field. Type:

    win back anyone who hasn't ordered in 30 days
    

    Ferbz’s AI reads the sentence, recognises the trigger (“days since last order”), and proposes a default flow:

    • Wait 30 days after the last order
    • Message 1: “We miss you at Maple Leaf Café! Here’s a 10 % off coupon for your next visit.”
    • Branch: If the customer replies “YES”, send Message 2 with the coupon code. If they reply “NO”, send Message 3 offering a different incentive.
  3. Edit the suggested flow on the visual canvas. Drag the wait block to confirm “30 days.” Click the first message block, and replace the placeholder text with your own copy, inserting dynamic fields like {{customer.first_name}}. For example:

    Hey {{customer.first_name}}, it’s been a while! Enjoy 10 % off your next coffee on us. Use code MAPLE10 at checkout.
    

    Add a “Coupon” custom field to the customer profile if you want to store the generated code.

  4. Set the trigger source. On the left‑hand panel, under Triggers, choose “Days Since Last Order” and set the value to 30. This tells Ferbz to enroll any customer whose most recent order is exactly 30 days old.

  5. Define enrollment rules. Click “Enrollment Filters” and add a filter: Customer status = Active (so you don’t waste credits on inactive or opted‑out contacts). You can also filter by Location if you run multiple cafés.

  6. Save the journey. Ferbz automatically creates a Reminder template for each message block. These reminders appear on the Reminders board as “Scheduled” once a customer meets the trigger condition.

  7. Test the flow. Use the “Preview” button to simulate a customer named Liam who placed an order on March 1. The system shows a timeline:

    • March 31 → Wait period ends
    • April 1 → Message 1 is queued, credit balance is reduced by 1 reminder credit
    • If Liam replies “YES” on April 1, Message 2 is sent immediately, consuming another credit.

    You can also click “Send Test” to deliver the first message to a real phone number you own, confirming that the WhatsApp Business API integration works correctly.

  8. Monitor live activity. Return to the Reminders board from the main menu. You’ll see rows for each scheduled reminder:

    • Customer: Liam Patel
    • Journey: 30‑Day Win‑Back
    • Status: Scheduled → Sent → Delivered → Read (timestamps update in real time)

    If a reminder fails (e.g., the phone number is no longer on WhatsApp), the row turns red and you can re‑enroll the contact manually or adjust the journey.

  9. Bulk import customers (optional). If Maple Leaf Café has a CSV of regulars, go to Customers → Import, map columns (email, phone, first name), and upload. All imported profiles instantly become eligible for the win‑back journey as soon as the 30‑day trigger fires.

  10. Review performance. After a week of activity, open Reports → Messaging Effectiveness. Filter by the win‑back journey to see:

    • Number of reminders sent (e.g., 124)
    • Delivery rate (e.g., 119 delivered)
    • Read rate (e.g., 87 read)
    • Conversion metric (e.g., 22 customers placed a new order within 7 days of receiving the coupon)

    These numbers feed directly into revenue reports, letting you calculate the ROI of the credit spent on the automation.

  11. Iterate. If the conversion rate is lower than expected, return to the Automation canvas, adjust the message copy, or add an extra follow‑up reminder after 7 days for non‑responders. Every change is saved instantly and will apply to the next batch of eligible customers.

By following these steps, Maple Leaf Café moves from manually tracking “who hasn’t been in the last month” to an automated, data‑driven win‑back system that runs 24 / 7 without any ongoing manual effort.


03 / Read

Why It Helps

Cafés and quick‑service shops typically lose regulars silently. Before Ferbz, Maple Leaf Café’s manager spent an average of 3 hours per week pulling sales reports, cross‑checking a handwritten guest book, and sending ad‑hoc WhatsApp messages from a personal phone. In the same period, the café missed roughly $1,850 in potential revenue (based on an average ticket of $12 and an estimated 15 % churn).

After implementing the AI‑drafted win‑back journey:

  • Time saved – The automation eliminates the manual reporting loop. The manager now spends less than 30 minutes per week reviewing the Reminders board and approving any failed messages. That’s a 85 % reduction in labor.

  • Revenue recovered – In the first month of the pilot, 22 customers responded to the 10 % coupon and placed a new order, generating $264 in immediate sales. Over three months, the same flow reclaimed $1,020 in repeat business, offsetting the credit cost of approximately 90 reminder credits (each credit is a fraction of a dollar, so the net gain is clear).

  • Consistency – Every eligible customer receives the same professionally‑branded message at the exact 30‑day mark. No more missed follow‑ups or uneven promotion timing.

  • Visibility – The Reminders board shows live delivery status. If a number is no longer reachable, the manager can act instantly rather than discovering the failure weeks later.

  • Scalability – Adding a new location is as simple as importing its customer list and enabling the same journey. The same AI engine drafts the flow, so there’s no need to rebuild campaigns from scratch for each store.

Overall, the AI‑drafted automation journey turns a reactive, time‑intensive task into a predictable, credit‑controlled process that directly addresses the core pain points of silent churn, disorganized customer data, and irregular promotion delivery.


04 / Get started

Get Started with Ferbz

Ready to stop guessing which regulars have gone cold and start reaching them automatically? Sign up for a free trial, load your customer list, and let Ferbz’s AI draft your first win‑back journey in minutes. Visit the dashboard at https://dashboard.ferbz.com/ and explore the Automation tab, or email support@ferbz.com for a personalized walkthrough. Your next repeat customer is just a WhatsApp message away.

Questions you may have
01

How does Ferbz know which customers haven’t ordered in 30 days?

A: The Automation module reads the “last order date” stored on each Customer profile after a billing transaction is completed. When you select the trigger “Days Since Last Order = 30,” Ferbz automatically enrolls every customer whose most recent order meets that condition.

02

Will the WhatsApp messages come from my personal number?

A: No. All outbound messages are sent through the official WhatsApp Business API, partnered with Gupshup. The sender ID appears as your business name, and delivery/read receipts are tracked on the Reminders board.

03

What happens if a reminder fails to deliver?

A: Failed reminders turn red on the Reminders board and show the error code. You can re‑enqueue the customer manually, edit the journey, or remove the contact if the number is no longer valid. Credits are only deducted for successfully queued messages.

04

Can I edit the AI‑drafted messages after they’re created?

A: Yes. The visual canvas lets you click any message block and replace the text, insert dynamic fields, or change the template. Changes apply to all future enrollments; already‑sent messages remain unchanged.

05

How do I control costs?

A: Ferbz uses a prepaid credit wallet. Each reminder, broadcast, or order confirmation consumes a known number of credits. You can monitor credit balance from the Dashboard, set low‑balance alerts, and top up only when needed—there is no hidden subscription fee. ---

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