Automate rapid win‑back responses to viral complaints with Ferbz

Below is a step‑by‑step walkthrough of setting up a viral complaint automation for a typical café in Pune called Bean Bliss Café. The numbers reflect realistic usage for a mid‑size outlet that serves about 120 orders per day.

1. Prepare the order tag

1. Log in to the Ferbz dashboard.
2. Navigate to Billing → New Sale.
3. At the bottom of the order screen, click Add Tag and type “complaint‑cold‑coffee”.
4. Save the order. The tag is now attached to the customer’s profile and will be used as a filter in Automation.

2. Create the automation flow

1. From the left‑hand menu, select Automation.

2. Click Create New Journey.

3. In the plain‑English prompt box, type:
   “When a customer’s order is completed and the order has the tag ‘complaint‑cold‑coffee’, send an apology WhatsApp message within 5 minutes, wait 12 hours, then send a 20 % off coupon if the first message was read, otherwise resend the apology.”

4. Press Generate. Ferbz’s AI builds a canvas with the following steps:

   • Trigger – “Order Completed” + filter Tag = complaint‑cold‑coffee.
   • Wait 5 minutes – ensures the order receipt PDF is already generated.
   • Message 1 (Apology) – “Hi {{customer_name}}, we’re sorry your coffee was not hot enough. We’ve brewed a fresh cup on us—use code COLD20 for 20 % off your next visit.” (Attach a short video of barista preparing a fresh cup.)
   • Branch – “Message Read?” → Yes → go to Wait 12 hours → Message 2 (Coupon Reminder).
   • Branch – No → Resend Message 1 (same content).

5. Click Edit on each message to fine‑tune wording, add the café’s logo, or change the coupon code.

6. At the bottom, set Credit Cost – each WhatsApp send costs 1 credit; a resend costs another credit.

3. Activate the journey

1. Toggle the Status switch to Active.
2. Ferbz immediately starts listening for any order that matches the tag.

4. Simulate a complaint (optional)

1. Go to Customers → Search and find “Rohit Sharma”.
2. Open his profile, click Add Order, fill in a dummy order of ₹250, attach the tag complaint‑cold‑coffee, and click Complete.
3. Watch the Reminders board: you’ll see a new entry “Apology Message – Scheduled → Sent → Delivered → Read” with timestamps.

5. Real‑world flow when a viral complaint hits

Imagine a local college group shares a screenshot of a lukewarm latte on their WhatsApp group, and the post goes viral across Pune. Within the next hour, 12 customers place orders and tag them “complaint‑cold‑coffee”.

• Step 1 – Enrollment – As each order is completed, Ferbz instantly enrolls the customer into the journey. No manual list building is required.
• Step 2 – Immediate Apology – After a 5‑minute wait, the first apology message is dispatched from the official WhatsApp Business API. Because the message originates from the café’s verified business number, it appears trustworthy and bypasses personal‑number restrictions.
• Step 3 – Monitoring – The Reminders board updates in real time: you can see which customers opened the message, which didn’t, and whether any sends failed (e.g., due to an invalid phone number).
• Step 4 – Follow‑up – For those who read the apology, a second message with the coupon reminder is sent after 12 hours, nudging them to return before the discount expires. For those who didn’t read, the system automatically resends the apology, increasing the chance of engagement.

6. Review performance

1. After a week, go to Reports → Automation.

2. Filter by the journey name “Cold‑Coffee Complaint Recovery”.

3. The report shows:

   • Total complaints processed: 12
   • Apology messages sent: 12 (credits used: 12)
   • Resends triggered: 3 (credits used: 3)
   • Coupon messages sent: 9 (credits used: 9)
   • Orders placed using coupon code COLD20: 5 (₹1,250 revenue)

4. Export the CSV if you need to share the data with your accountant for GST filing (remember the 5 % GST on services).

7. Keep the credit wallet topped up

1. Click Wallet in the top‑right corner.
2. Choose a prepaid pack—e.g., ₹299 for 350 credits—and pay via Razorpay.
3. Credits are instantly added, and the next automation run will deduct from this balance.

By following these steps, Bean Bliss Café turns a potentially damaging viral complaint into a controlled, data‑driven recovery process that runs 24 × 7 without any manual messaging.

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Time saved: Before Ferbz, the owner of Bean Bliss would have spent roughly 45 minutes each day manually scanning order notes, copying phone numbers into a spreadsheet, drafting apology texts, and sending them one‑by‑one via personal WhatsApp. With automation, the same 12 complaints are handled in under 2 minutes of setup time, and the system runs automatically thereafter. That’s a saving of 43 minutes per day, or ≈ 300 minutes per week—equivalent to 5 hours of staff time that can be redirected to coffee preparation or floor service.

Revenue recovered: In the example, five customers redeemed the 20 % coupon, generating ₹1,250 of additional sales. Without the automated follow‑up, only the initial apology might have been sent, and historically the café saw a ≈ 30 % drop‑off after a complaint. The automation lifted the win‑back rate to ≈ 42 % (5 out of 12), adding ₹1,250 in the first week and ₹5,200 over a month, while costing 24 credits (≈ ₹7).

Fewer manual errors: Manual entry of phone numbers often leads to typos; Ferbz pulls the contact directly from the Customer profile, guaranteeing correct delivery. The Reminders board flags any failed sends instantly, allowing the owner to correct a bad number before it costs more credits.

Consistent brand voice: All messages use the café’s pre‑approved templates, so every apology looks professional and matches the brand’s tone. This consistency is impossible when different staff members type their own replies.

Scalable for viral spikes: A sudden surge of 30 complaints would overwhelm a small team, but Ferbz’s AI‑generated journey can enrol any number of customers instantly, limited only by the credit balance. The owner simply tops up the wallet and the system continues to operate.

Overall, the viral complaint automation converts a chaotic, reactive process into a predictable, measurable operation that protects reputation, recovers revenue, and frees staff to focus on serving coffee rather than typing messages.

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Setting up viral complaint automation takes only a few clicks. Log in to the Ferbz dashboard, create the tag you’ll use for complaints, let the AI draft your WhatsApp recovery journey, and activate it. Your prepaid wallet ensures you only pay for the messages you actually send—no hidden subscriptions.

Ready to protect your café’s reputation and win back dissatisfied guests? Start your free trial now at https://dashboard.ferbz.com/. If you need help tailoring the flow to your specific menu or loyalty program, email support@ferbz.com and our operations team will walk you through the setup.