Frequent Buyer
1. Frequent Buyer
Customers who place many completed orders within a short period. They are actively engaged and repeatedly purchasing.
Operational rule:
More than 5 completed (non‑pending) orders within the last 2 months.
Business use cases
- Prioritize for loyalty programs and exclusive offers.
- Early access to new products.
- Ask for reviews and referrals.
Frequent Buyer
Window Shopper
3. Window Shopper
Customers who downloaded the app a while ago but never purchased. They show initial interest that did not convert.
Operational rule:
App account created more than 1 month ago, with zero completed orders.
Business use cases
- Win‑back campaigns with stronger incentives.
- Educational content to reduce friction (how to order, payment options).
- Identify UX or onboarding issues.
Window Shopper
Returning
5. Returning
Customers who came back and placed more than one order recently. They are moving from trial to regular usage.
Operational rule:
More than 1 completed order in the last 2 months.
Business use cases
- Encourage them toward “Loyal Customer” status.
- Bundle offers and personalized recommendations.
- Monitor satisfaction to prevent churn.
Returning
Lost Loyalty
7. Lost Loyalty
Previously loyal customers who stopped ordering. They used to buy a lot but have been inactive for a significant time.
Operational rule:
At least 5 total orders and last completed order more than 3 months ago.
Business use cases
- High‑priority win‑back campaigns (personalized offers, surveys).
- Churn analysis: pricing, competitors, service issues.
- Special “we miss you” promotions.
Lost Loyalty
Big Spender
9. Big Spender (High Spender)
Customers with high average order value. When they buy, they typically spend a lot.
Operational rule:
At least one completed order in the last year, with average order total in the last year > 800.
Business use cases
- Upsell premium products and bundles.
- Offer tailored high‑value promotions.
- Priority support and VIP communication.
Big Spender
Lost
11. Lost
Medium‑engaged customers (some orders, but not many) who have stopped buying recently. They are at risk of complete churn.
Operational rule:
More than 1 and up to 4 completed orders in total, and no completed orders in the last 3 months.
Business use cases
- Churn‑prevention and reactivation campaigns.
- Small incentives or reminders to return.
- Identify issues early before they become “gone forever”.
Lost
Time-of-Day Behavioral Segments
Classify customers by when they typically order. A customer joins one of these segments when at least X% of their paid orders fall inside the configured hour range (default 90%). Ranges and the dominance threshold are configurable from the Segmentation tab.
Morning Starters
14. Morning Starters
Customers who consistently order in the morning — breakfast, coffee, and early routines.
Operational rule:
At least the configured dominance % of the customer's paid orders are placed between the morning start and end hours (default 7 AM – 12 PM, app local time).
Business use cases
- Breakfast bundle promotions and coffee combos.
- Pre-9 AM push notifications.
- Loyalty rewards on morning categories.
Morning Starters
Afternoon Cravers
16. Afternoon Cravers
Snack, dessert, and coffee orders that cluster between lunch and dinner.
Operational rule:
Configured dominance % of paid orders fall between the afternoon start and end hours (default 3 PM – 7 PM, app local time).
Business use cases
- Afternoon snack/dessert flash deals.
- Coffee loyalty stamps.
Afternoon Cravers
Night Owls
18. Night Owls
Late-night ordering customers — impulse orders, midnight cravings.
Operational rule:
Configured dominance % of paid orders fall between the night start and end hours (default 10 PM – 5 AM, app local time — the range wraps past midnight).
Business use cases
- Late-night menu visibility and free-delivery hours.
- After-hours impulse promotions.
Night Owls
Dark
Light
Light