Turn post‑monsoon lapsed café customers into repeat visitors with Ferbz’s AI‑driven win‑back automation

Below is a step‑by‑step walk‑through of the exact clicks, fields and screens a café owner will see while setting up the post‑monsoon win‑back flow. Imagine the owner of Mogra Café, a 30‑seat outlet in Bhopal that serves coffee, samosa‑chutney combos and a monthly loyalty card.

1. Prepare the Customer List

1. From the Ferbz home screen, click the Customers tab on the left navigation.
2. Press Import CSV and upload the latest point‑of‑sale export (Mogra Café uses a simple POS that can export customer_id, name, phone, last_order_date).
3. Ferbz validates the phone numbers (must be in international format, e.g., +91XXXXXXXXXX). Any rows with errors are highlighted for correction.
4. After import, each row appears as a Customer card showing the last order date, total spend, and a quick View History button.

2. Create the Win‑Back Goal

1. Navigate to Automation from the main sidebar.

2. Click Create New Goal – a text box appears with the placeholder “Describe the business outcome you want…”.

3. Type: “Win back anyone who hasn’t ordered in the last 30 days” and hit Generate.

4. Ferbz’s AI reads the goal and instantly proposes a three‑step journey:

   • Trigger – “Days since last order ≥ 30”
   • Step 1 – Wait 1 day (to avoid immediate spam after the 30‑day mark)
   • Step 2 – Send WhatsApp template “We miss you” (editable)
   • Step 3 – Branch: if the customer clicks the “Redeem 10 % off” button, send a second message with the coupon code; otherwise, send a gentle reminder after 3 days.

5. Review the visual canvas: each block is draggable, and the branch logic is displayed as a split arrow. The AI has already pulled in any existing WhatsApp templates saved under Templates; if none exist, the owner can create a new one by clicking Add Template.

3. Edit the Message Templates

1. In the canvas, click the “We miss you” block. A side panel opens with the template editor.

2. Insert dynamic fields using the double‑curly syntax:

   Hi {{customer.name}}, we noticed you haven’t visited Mogra Café since {{customer.last_order_date}}.  
   Come back this week and enjoy a 10 % discount on any combo – just reply “YES” to claim.
   

3. Set the WhatsApp Business API sender name to “Mogra Café”.

4. Save. The second branch message (for “YES” replies) is edited similarly, adding a unique coupon code (MOGRA10) that the owner can generate in the Loyalty section (though the coupon itself is just a text placeholder for this flow).

4. Activate the Journey

1. At the top of the canvas, toggle the Status switch from Draft to Active.
2. A confirmation dialog shows the estimated credit consumption: each reminder (each WhatsApp message) costs 1 credit. The AI predicts roughly 120 messages per month for Mogra Café based on the current customer base (≈ 2 % of 6 000 total customers will cross the 30‑day gap each month).

5. Monitor the Flow on the Reminders Board

1. Click Reminders in the left menu.

2. The board lists three columns: Scheduled, Sent, Failed.

3. After the first day of activation, you’ll see entries like:

   • Scheduled – “Mogra Café – 30‑day win‑back – Customer: Rahul Sharma – Send on 2024‑10‑15”.
   • Once the message is dispatched, it moves to Sent and shows a Delivered and Read timestamp (if the customer reads the message).
   • If a number is invalid or WhatsApp returns an error, the entry appears under Failed with the error code, allowing the owner to correct the phone number in the Customers profile.

6. Review Results in Reports

1. Open Reports → Messaging Effectiveness.

2. Filter by “Automation – Win‑Back” and the date range (e.g., 1 Oct 2024 – 31 Oct 2024).

3. The report shows:

   • Messages Sent: 118
   • Delivered: 112 (95 %)
   • Read: 97 (87 % of delivered)
   • Conversion: 14 customers placed an order within 7 days of reading the message (12 % conversion).

4. Export the report as CSV or view it as a bar chart to share with staff.

7. Adjust or Pause the Flow

If the owner wants to change the discount or the wait period, they return to Automation, click the win‑back journey, edit the relevant block, and re‑activate. The changes apply only to customers who have not yet entered the journey; those already in the pipeline continue with the version they were enrolled under.

Full Worked Example – Mogra Café

• Customer: Priya Verma, phone +919876543210, last order 30 Sep 2024 (a “Masala Chai + Samosa” combo).
• Trigger: On 30 Oct 2024, Priya’s “days since last order” reaches 30, so the automation enrolls her automatically.
• Reminder Clock: AI sets the first wait of 1 day → message scheduled for 31 Oct 2024.
• Message Sent: “Hi Priya, we missed you at Mogra Café since 30 Sep 2024… 10 % off on any combo – reply YES.”
• Customer Action: Priya replies “YES”. The branch detects the keyword and sends the second message on 1 Nov 2024: “Your coupon MOGRA10 is active for the next 48 hours. Show this code at the counter.”
• Result: Priya visits on 2 Nov 2024, orders a “Cold Coffee + Veg Sandwich” worth ₹250. The order is recorded in Billing → New Sale, generating a PDF receipt and automatically logging the win‑back event in her profile.

Through this single flow, Mogra Café recovers a ₹250 sale that would otherwise have been lost after the monsoon slowdown, all while consuming only 2 credits (one for each WhatsApp message).

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Time saved – Before Ferbz, Mogra Café’s manager spent about 3 hours each week compiling a list of customers who hadn’t visited in the past month, drafting a WhatsApp broadcast in a spreadsheet, and manually sending each message. With AI win‑back automation, those steps collapse into a 5‑minute setup and the system runs unattended.

Revenue recovered – In the first month after activation, the café recorded 14 win‑back orders totaling ₹3 420. At an average profit margin of 22 %, that translates to an extra ₹752 of profit. The same month’s credit spend was 118 credits (₹117 ≈ ₹99 for 100 credits + ₹18 for the extra 18). The net gain is therefore roughly ₹635 after credit cost, a clear ROI.

Fewer manual errors – Because the Customers module holds the authoritative phone number, there are no mismatched contacts or duplicate messages. The Reminders board surfaces any delivery failures instantly, allowing the owner to correct a mistyped number (e.g., missing a digit) before the next batch runs.

Consistent branding – All WhatsApp messages use the café’s own approved templates, so the tone, logo and discount wording stay uniform. The AI only proposes the flow; the owner retains full edit rights, eliminating the risk of ad‑hoc, unvetted messages that could confuse regulars.

Scalable to any size – Whether the café serves 30 customers a day or 200, the win‑back automation scales because it relies on the same trigger logic (“days since last order”). Credit consumption grows linearly with the number of lapsed patrons, making budgeting straightforward.

Overall, the AI win‑back automation directly tackles the core pain point of “regulars silently dropping off” by turning a hidden churn signal into a measurable, repeatable outreach process that delivers measurable revenue with minimal ongoing effort.

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Turning post‑monsoon lapsed patrons into repeat visitors is now a matter of a few clicks. Log in to the Ferbz dashboard, import your customer list, create a win‑back goal, and let the AI build the WhatsApp journey for you. All messages are sent through the official WhatsApp Business API, credits are deducted transparently, and you can watch the results live on the Reminders board and in the Reports section.

Ready to test the AI win‑back automation for your café? Start a free trial at https://dashboard.ferbz.com/ and explore the platform risk‑free. If you hit any snags or have questions, our support team is on standby at support@ferbz.com – we’ll help you get your first win‑back campaign live within minutes.