GENERAL RETAIL · CUSTOMER AUTOMATION
AI‑Drafted Win‑Back Automation that Reactivates Your Retail Customers
Discover how Ferbz's AI‑drafted win‑back automation reactivates customers and boosts repeat sales for Canadian retail stores.
9 MIN READ · FERBZ · AUGUST 2026
What This Is
Ferbz’s AI‑drafted win‑back automation is a ready‑to‑run journey that lives inside the Automation module. It is built for the general‑retail vertical in Canada, where shop owners rely on repeat purchases of groceries, household staples, hardware, stationery and other everyday merchandise.
When a customer’s last Order ages beyond a threshold you set (for example, 30 days without a purchase), Ferbz automatically enrolls that Customer into a multi‑step WhatsApp journey. The journey is created by Ferbz’s AI: you type a plain‑English goal such as “win back anyone who hasn’t ordered in 30 days” and the system drafts a sequence of wait periods, messages, and conditional branches. You then edit the draft on a visual canvas, select the message templates your store already uses, and publish.
Because Ferbz uses the official WhatsApp Business API (through Gupshup), every message is sent from a verified business account, not a personal number. The moment a Customer’s Order is completed, the Automation engine evaluates all active triggers. If the “days since last order” trigger matches, the Customer is added to the win‑back flow instantly, the reminder clock starts, and the first WhatsApp message is scheduled.
All activity—whether a single reminder, a broadcast, or a multi‑step automation—draws from the prepaid credit wallet. Each step that sends a WhatsApp message consumes a small number of credits, and the cost is reflected in the wallet balance in real‑time. There is no monthly subscription; you simply top up the wallet whenever you need more credits.
The Reminders board shows the live status of every win‑back reminder: scheduled, sent, delivered, read, or failed. If a message fails, you can re‑try directly from the board without leaving the dashboard. The Reports module aggregates revenue, order volume, and messaging effectiveness, so you can see exactly how many lapsed customers returned after the win‑back flow.
In short, the AI‑drafted win‑back automation combines Ferbz’s Billing, Customers, Automation, Reminders board and Reports modules into a single, end‑to‑end solution that turns “lost” shoppers into repeat buyers without any manual spreadsheets or phone‑calls.
How General Retail Store Owners Use It
Below is a step‑by‑step walkthrough of setting up a win‑back automation for a typical Canadian shop. Imagine MapleMart, a neighbourhood grocery and household‑goods store in Calgary, Alberta. MapleMart averages 150 Orders per week, with a 20 % churn rate among customers who haven’t shopped in the past month. The owner, Priya, wants to recover those customers using Ferbz.
1. Import or verify Customer records
- From the left‑hand navigation, click Customers.
- Press Import CSV and upload the latest point‑of‑sale export (columns: Customer ID, name, phone, email, last order date).
- Ferbz matches each row to an existing profile or creates a new Customer record. Priya now sees a clean list with every shopper’s order history and contact details.
2. Create the win‑back goal in Automation
- Select the Automation tab at the top of the dashboard.
- Click New Automation and type the goal in the plain‑English box:
“win back anyone who hasn’t ordered in 30 days” - Ferbz’s AI instantly generates a draft journey:
| Step | Trigger / Wait | Message | Branch (if any) |
|---|---|---|---|
| 1 | 0 days after enrollment | “Hi {{first_name}}, we miss you at MapleMart! Here’s a 10 % off coupon for your next visit.” | – |
| 2 | 5 days after step 1 if not purchased | “Just a reminder – your 10 % off coupon expires tomorrow. Come by for fresh produce and everyday essentials.” | – |
| 3 | 1 day after step 2 if still no purchase | “Need help restocking? Reply ‘HELP’ and we’ll set aside a basket for you.” | – |
- Priya clicks Edit Canvas. The visual flow appears as draggable blocks. She swaps the default text with MapleMart’s brand voice, adds the store’s logo, and inserts the coupon code MM10 into the first message.
3. Define the enrollment trigger
- In the same canvas, select the Trigger icon.
- Choose Days since last Order and set the value to 30.
- Optionally add a second filter: Customer type = “Regular” to exclude one‑time shoppers.
Now any Customer whose most recent Order is 30 days old will be automatically enrolled the moment the system records a new Order for any other shopper (the Automation engine runs continuously).
4. Set credit consumption and budget
- Navigate to Billing → New Sale to ensure the wallet has enough credits.
- Ferbz shows the credit cost per WhatsApp send (e.g., 0.25 credits). Priya adds 500 credits to the wallet, enough for roughly 2,000 messages, covering the expected volume of win‑back journeys.
5. Activate the automation
- Return to the Automation canvas and click Publish.
- A confirmation dialog appears: “This flow will consume X credits per enrolled Customer. Continue?” Priya confirms.
6. Watch the flow on the Reminders board
- Open Reminders from the main menu.
- The board lists every win‑back reminder with columns: Customer, Order ID (last), Trigger date, Next action, Status.
- For each step, the status updates automatically: Scheduled → Sent → Delivered → Read. If a message fails (e.g., invalid phone number), the row turns red and a Retry button appears.
7. Review results in Reports
- After two weeks, Priya clicks Reports → Messaging Effectiveness.
- She selects the date range, filters by the “Win‑Back Automation” tag, and sees:
- 1,240 Customers enrolled
- 312 Orders placed by previously inactive shoppers (25.2 % conversion)
- 1,180 WhatsApp messages sent, 1,050 delivered (89 % delivery)
- Revenue uplift of CAD 4,830 linked to the win‑back flow
These numbers appear alongside the regular sales report, letting Priya compare week‑over‑week performance.
Full Worked Example
| Customer | Last Order | Days Since | Enrollment Date | Message 1 Sent | Coupon Used? | Order Re‑activated |
|---|---|---|---|---|---|---|
| Sarah L. | 2024‑06‑02 | 31 | 2024‑07‑03 | 2024‑07‑03 09:12 AM | Yes (MM10) | 2024‑07‑05 (CAD 45) |
| Ahmed K. | 2024‑05‑28 | 36 | 2024‑07‑03 | 2024‑07‑03 09:13 AM | No | 2024‑07‑10 (CAD 78) |
| Luis M. | 2024‑06‑01 | 32 | 2024‑07‑03 | 2024‑07‑03 09:14 AM | No | — (no re‑order) |
Sarah received the first reminder, clicked the coupon, and placed a fresh order two days later. Ahmed ignored the first message, got the second reminder on day 5, and ordered a week later. Luis never responded, and the flow stopped after the third step, leaving Priya with a clear picture of who still needs attention.
Through this live view, Priya can manually follow up with Luis via a phone call or in‑store invitation, knowing exactly where each customer stands in the journey.
Why It Helps
Time saved – Before Ferbz, MapleMart’s staff spent an average of 3 hours per week compiling paper lists of “customers who haven’t shopped in 30 days,” drafting a manual WhatsApp message, and copying the same text into a personal chat. The win‑back automation eliminates those manual steps; the entire enrollment, messaging and tracking process runs automatically from the dashboard.
Revenue recovered – In the pilot period, MapleMart re‑activated 312 previously dormant customers, generating CAD 4,830 in additional sales. That represents a 12.4 % uplift over the baseline weekly revenue of CAD 39,000. Each recovered order also adds future lifetime value, because the win‑back flow re‑establishes the habit of shopping at MapleMart.
Fewer errors – Manual WhatsApp outreach often results in mistyped phone numbers or duplicated messages. The Reminders board flags any failed sends instantly, and the AI‑drafted templates ensure consistent branding and correct coupon codes.
Clear ROI tracking – Because every message consumes a known number of prepaid credits, Priya can calculate the exact cost per re‑activated customer. In the example, 1,180 messages cost 295 credits (≈ CAD 74), yielding a return of CAD 4,830 ÷ CAD 74 ≈ 65 × the credit spend.
Compliance and professionalism – All messages are sent through the official WhatsApp Business API, satisfying CRA‑related record‑keeping requirements and avoiding the “personal‑number” gray area that many small retailers fall into.
Overall, the win‑back automation directly addresses the three core pain points for Canadian general‑retail shops: customers drifting to larger chains, the lack of an automated reminder system, and the inefficiency of paper‑based inventory and follow‑up processes. By turning a manual, error‑prone task into a scalable, data‑driven workflow, Ferbz lets shop owners focus on stocking shelves and serving customers in‑store.
Get Started with Ferbz
Ready to bring back the shoppers who have drifted to the big chains? Set up your win‑back automation in minutes and watch the credit‑based ROI roll in. Sign up for a free trial at https://dashboard.ferbz.com/, import your customer list, and let Ferbz’s AI draft the first journey for you. If you hit any snags, the support team is just an email away at support@ferbz.com. Start turning missed orders into repeat business today.
How does Ferbz know when a customer has been inactive for 30 days?
A: The Automation engine reads the “last Order date” stored in each Customer profile. When the “Days since last Order” trigger reaches the value you set (e.g., 30), the customer is automatically enrolled in the win‑back journey.
What happens if a customer replies to the WhatsApp message?
A: Replies are captured by the WhatsApp Business API and appear in the customer’s timeline inside the Customers module. You can view the conversation, add notes, or create a manual follow‑up task directly from that view.
Can I change the coupon code or message after the automation is published?
A: Yes. Open the Automation canvas, edit the relevant message block, save, and republish. Existing customers already in the flow will receive the updated content at the next scheduled step.
How are credits deducted for a multi‑step journey?
A: Each WhatsApp send consumes a fixed number of credits (shown in the Billing section). Credits are deducted at the moment the message is queued for delivery. If a step is skipped because the customer already placed an Order, no credits are spent for that step.
Is there any way to see which customers never opened the messages?
A: The Reminders board displays Delivered vs. Read status for every reminder. You can filter the board to “Read = false” and export that list for a targeted phone call or in‑store invitation. ---
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