Boost Café Repeat Business with Ferbz’s AI‑Drafted Win‑Back Automation

Below is a step‑by‑step walk‑through that you could follow while watching a screen recording of Ferbz. The example uses a fictional café, Mira’s Brew, located in Pune, with a daily average of 45 orders and a ₹12 lakh annual turnover.

1. Log in and go to the Automation tab
   From the left‑hand navigation, click Automation. The canvas opens with a “Create New Journey” button at the top right.

2. Create the win‑back goal
   Click Create New Journey → select Goal‑Based Builder. In the text box type:
   win back anyone who hasn't ordered in 30 days.
   Ferbz’s AI instantly generates a draft flow:

   • Trigger: “Days since last order = 30”
   • Step 1 (Wait): 0 days (immediate after trigger)
   • Step 2 (Message): “Hey {{customer_name}}, we miss you at Mira’s Brew! Here’s a 15 % off coupon for your next coffee.”
   • Branch: “Did they click the coupon link?” → Yes → “Thank you! See you soon.” → No → “Just checking – any feedback?”

3. Edit the message templates
   Click any message block to open the editor. Replace the placeholder with Mira’s actual branding:
   “Namaste {{customer_name}}, it’s been a while! Enjoy a 15 % discount on any combo meal with code MIRABREW30. Valid for the next 7 days.”
   Save each block. The visual canvas now shows the exact flow that will run for every eligible customer.

4. Set the trigger details
   In the Trigger panel, confirm the condition “Days since last order = 30”. You can also add a secondary filter, e.g., “Customer type = Regular”. This ensures only loyalty‑card holders are targeted.

5. Activate the journey
   Click Activate. Ferbz immediately starts evaluating every order in the Billing module. When an order is closed, the system checks the customer’s last order date. If the gap reaches 30 days, the customer is auto‑enrolled.

6. Watch the Reminders board
   Switch to the Reminders tab. You’ll see a live list:

   • Scheduled: Customer – Rohan Patel, 30‑day timer started 2024‑08‑02, next reminder 2024‑09‑01.
   • Sent: Customer – Anita Sharma, message delivered 2024‑08‑15, read at 10:03 AM.
   • Failed: Customer – Vikram Singh, delivery failed (WhatsApp number invalid).

   Each row shows credits consumed (e.g., 2 credits per reminder: one for the message, one for the read receipt).

7. Check the Reports
   After a week, go to Reports → Messaging Effectiveness. Filter by the win‑back journey. You’ll see:

   • 120 customers entered the flow in the last 30 days.
   • 78 % delivered, 62 % read.
   • 34 % clicked the coupon link, generating ₹4,800 in additional sales (average ticket ₹140).

8. Fine‑tune the journey
   If the click‑through rate is low, return to Automation, edit the message, or add an extra reminder after 3 days of no click. Each edit is saved instantly; no code changes are required.

Worked Example – Mira’s Brew

Mira’s Brew started the journey on 1 August for Rohan, who didn’t open the first message. A follow‑up on 4 August nudged him, and he placed an order worth ₹196, consuming 4 credits total. Anita opened the first message, but didn’t use the coupon until the second reminder, generating ₹140 in revenue and using 4 credits as well.

Overall, in the first month Mira’s Brew spent 80 credits (₹80) on win‑back reminders and recovered ₹12,340 in sales—a clear ROI that would be impossible to track manually.

1. Time saved – Before Ferbz, the owner or staff would have to export the POS data, sort customers who haven’t visited in 30 days, draft a WhatsApp text, and send it manually. That workflow can take 45–60 minutes per batch. With the AI‑drafted journey, the same batch is handled automatically in seconds, and the Reminders board guarantees nothing falls through the cracks.

2. Revenue recovered – In the example above, Mira’s Brew reclaimed ₹12,340 from customers who otherwise would have remained dormant. That is ≈ 5 % of monthly turnover for a ₹2.5 lakh month, purely from a 80‑credit spend (₹80). The credit‑based model lets owners scale the effort exactly to the budget they are comfortable with.

3. Fewer manual errors – Manual WhatsApp blasts often hit the wrong numbers, duplicate messages, or miss the “30‑day” rule. Ferbz enforces the trigger logic automatically, and the Reminders board shows any failed deliveries instantly, so the owner can correct an invalid phone number once and avoid future waste.

4. Consistent branding – Because the messages are edited within Ferbz’s visual canvas, every win‑back note uses the café’s exact tone, logo, and coupon code. No more ad‑hoc copy that looks unprofessional.

5. Data‑driven optimisation – The Reports module quantifies open, read, and click‑through rates, letting the owner see that a 15 % discount yields a 34 % coupon‑use rate. If the owner wants to test a 20 % discount, they simply edit the template and watch the new metrics in the next cycle.

Overall, the AI‑drafted win‑back automation turns a chaotic, reactive process into a predictable, credit‑controlled engine that directly addresses the core pain point of “regulars disappearing without a trace”. It frees staff to focus on service, not spreadsheet gymnastics, and converts lost footfall into measurable revenue.

Ready to stop guessing which regulars have gone cold and start winning them back automatically? Sign up for a free trial, top up your wallet with as little as ₹99 (100 credits), and build your first win‑back journey in minutes. Visit the dashboard at https://dashboard.ferbz.com/ or drop a line at support@ferbz.com for a quick walkthrough. Your café’s repeat business is just a few clicks away.