Auto‑generate AI rebooking journeys to fill your salon calendar effortlessly

Below is a step‑by‑step walkthrough of how a typical Canadian salon—let’s call it Maple‑Leaf Salon in downtown Toronto—creates an AI‑driven re‑booking journey and watches the calendar fill itself. The description follows the exact navigation and fields that exist in Fernz today.

1. Prepare the Client List

1. From the left‑hand navigation, click Clients.
2. If Maple‑Leaf Salon is just getting started, use the Import CSV button to bulk‑load existing client data (name, phone, email, loyalty‑package status).
3. Verify that each client’s Last Booking Date column is populated—this is the field the automation will read to calculate “days since last booking.”

2. Define the Re‑booking Goal

1. Click the Automation tab at the top of the dashboard.

2. Press Create New Journey.

3. In the Goal description box, type the plain‑English goal:

   Re‑engage any client who has not booked a service in the past 28 days and offer a 10% discount on their next colour or cut.
   

4. Ferbz’s AI instantly parses the sentence and populates the canvas with a four‑step flow:

   • Trigger – “Days since last Booking ≥ 28”
   • Wait – 0 days (send immediately)
   • Message 1 – Text + optional image of a styled haircut, with a “Book Now” button linking to the online booking page.
   • Branch – If the client clicks “Book Now,” go to Confirmation Message; if not, go to Reminder Follow‑up after 3 days.
   • Message 2 – Follow‑up reminder with the same discount code.

5. Review the automatically generated steps. The AI pulls any existing WhatsApp templates the salon has saved under Templates (e.g., Re‑booking Offer). If none exist, click Create Template and type the exact copy Maple‑Leaf wants to send, such as:

   Hi {{client.first_name}}! It’s been a little while since your last visit. Book your next cut or colour in the next 7 days and enjoy 10% off. Use code MAPLE10 at checkout. Tap “Book Now” to schedule.
   

3. Set the Trigger Details

1. Click the Trigger block.
2. Choose Days since last Booking from the dropdown.
3. Enter 28 in the numeric field.
4. Optionally add a second condition: Client has an active package (use the Package status field) so the journey only runs for package‑holders whose sessions are about to expire.

4. Configure the WhatsApp Message

1. Open Message 1.
2. Verify the From line reads the salon’s verified WhatsApp Business number (automatically provisioned when the salon linked its account to Ferbz).
3. Attach a high‑resolution image of a recent client transformation (optional but proven to increase click‑through).
4. Ensure the CTA button is set to URL and paste the salon’s online booking link (e.g., https://mapleleafsalon.ca/book).

5. Activate the Journey

1. At the top‑right of the canvas, click Save & Activate.
2. Ferbz immediately validates that the journey has at least one trigger and one outbound message, then switches the status to Live.

6. Monitor the Flow

1. Navigate to the Reminders board.
2. Filter by Journey: Re‑booking Automation to see a live list of every client who has been enrolled, the scheduled send time, and real‑time status icons (sent, delivered, read, failed).
3. If a reminder fails (e.g., the client’s number is inactive), a red badge appears. Clicking the badge opens a quick‑edit window where the owner can either remove the client from the journey or update the phone number.

7. Review Results

1. After a week, go to Reports → Messaging Effectiveness.

2. Select the date range (e.g., “Last 7 days”) and the journey name.

3. The report shows:

   • Total reminders sent: 124
   • Delivered: 118 (95%)
   • Read: 107 (86%)
   • Bookings generated: 19 (15% conversion)

4. Click the Bookings generated number to see a list of the new appointments that originated from the automation, including the discount code usage.

Worked Example – Maple‑Leaf Salon

Maple‑Leaf Salon charges an average of $85 for a cut + colour combo. In the previous month, the salon recorded 312 bookings, but 27 of those were “no‑shows” or cancellations, leaving a net revenue of $26,820.

The owner set up the AI re‑booking journey described above, allocating 150 credits from the prepaid wallet (each reminder costs 1 credit, each broadcast costs 2 credits).

During the first 30‑day period:

• 124 clients received the initial reminder.
• 19 of those booked a follow‑up appointment within the discount window, each paying an average of $92 (the discount applied).
• Revenue recovered from the re‑booking flow: $1,748 (19 × $92).

In addition, the Reminders board flagged 3 failed numbers, which the owner updated, preventing future missed opportunities.

The whole process—from opening the Automation tab to activating the journey—took under 10 minutes, and the owner required no spreadsheet work, no phone‑calling, and no manual calendar entry. All new bookings appeared automatically on the Appointments calendar, complete with a WhatsApp confirmation to the client.

Time saved – Before AI re‑booking automation, Maple‑Leaf’s owner (or front‑desk staff) spent roughly 2 hours each weekday calling or texting clients whose packages were about to lapse. After the journey went live, that repetitive outreach dropped to under 10 minutes per week—just the time needed to review the Reminders board for any failures.

Revenue recovered – In the example above, the salon captured $1,748 of otherwise lost income in a single month, a 6.5% uplift on the prior month’s net revenue. The conversion rate of 15% from reminder to booking is consistent with industry benchmarks for targeted WhatsApp messaging.

Fewer manual errors – Client preferences (e.g., “prefers balayage on Fridays”) are stored once in the Clients profile. The AI journey can be refined later to include a conditional branch that only offers a Friday‑only discount to those clients, eliminating the risk of offering a slot they cannot take.

Compliance and reliability – Because every outbound message uses the official WhatsApp Business API, Maple‑Leaf avoids the pitfalls of personal‑number workarounds (blocked numbers, compliance warnings). Delivery and read receipts appear instantly on the Reminders board, giving the owner confidence that the message reached the client.

Scalable growth – The prepaid credit model means the salon only pays for the reminders that actually send. As the client base expands from 200 to 800, the owner simply tops up the wallet—no new software licences, no tiered pricing negotiations. The AI engine scales automatically, generating journeys for every new client record without extra configuration.

Overall, AI re‑booking automation aligns directly with the salon’s most pressing pain points: forgotten follow‑ups, package expiry anxiety, and the administrative overload of tracking preferences on paper. By turning a manual phone‑call process into a reliable, data‑driven WhatsApp journey, the salon keeps its stylists booked, its cash flow healthier, and its staff focused on delivering great hair services rather than chasing appointments.

Ready to let AI handle your salon’s re‑booking chatter while you focus on the chairs? Sign up for a free trial at https://dashboard.ferbz.com/, import your client list, and create your first re‑booking journey in minutes. If you have questions or need help polishing your first automation, drop a note to support@ferbz.com – the Ferbz team is on hand to walk you through the process and ensure your prepaid credit wallet is set up for seamless WhatsApp messaging.