In some cases, awarding points based solely on the order total may not align perfectly with your loyalty program’s needs. For example, you may want to:
Award points only for orders over $50
Exclude customers using a specific email domain from earning points
Prevent points from being awarded when certain discount codes are applied
With Custom Order Rules, you can define specific conditions that override the points a customer would normally receive.
Accessing Order Rules
To manage Order Rules, navigate to Rewards > Order Rules in your Glow dashboard.
How Order Rules Work
Order Rules allow you to define conditions that determine whether points are awarded for an order. Each rule consists of four components:
Field – The order attribute that Glow will compare to your specified value.
Operator – Defines how Glow evaluates the comparison (e.g., "greater than" or "contains").
Value – The specific condition that must be met (e.g., "$50" or "gmail.com").
Points – The number of points awarded if the rule conditions are met.
Example Configurations:
Prevent points for orders under $50
Prevent points for orders under $50
Data Field: Order Total
Operator: is less than
Value: 50
Points: 0
Prevent points for customers using a Gmail address
Prevent points for customers using a Gmail address
Data Field: Customer Email
Operator: contains
Value: gmail.com
Points: 0
Prevent points when a discount code starts with "ABC-"
Prevent points when a discount code starts with "ABC-"
Data Field: Discount Code
Operator: contains
Value: ABC
Points: 0
Award 100 points for orders over $500
Award 100 points for orders over $500
Data Field: Order Total
Operator: is greater than
Value: 500
Points: 100
Important Considerations
Order Rules are processed in the order they appear on the Rewards > Order Rules screen.
If a customer has a VIP multiplier applied, it will be used when awarding points. For example, if a customer has a 2x multiplier and qualifies for 100 points, they will receive 200 points.
Order Rules apply even if the standard points per order is disabled
Deep dive into data properties
1. Order Total
Property:
order.total_priceDescription: The total cost of the order, including items, discounts, taxes, shipping, and tips. Must be positive.
2. Discount Code
Property:
order.discount_codes[last].codeDescription: Returns the discount code applied at checkout (if applicable).
3. Total Discounted Amount
Property:
order.total_discountsDescription: The total discount applied to the order.
4. Payment Gateway
Property:
order.gatewayDescription: The payment method used. List of Shopify gateways
5. Order Source
Property:
order.source_nameDescription: Identifies how the order was placed (e.g., web, POS, API, mobile).
6. Customer Email Address
Property:
order.customer.emailDescription: The email address associated with the customer.
7. Customer State
Property:
order.customer.stateValues: disabled, invited, enabled, declined
Description: Indicates the customer’s account status.
8. Customer Tags
Property:
order.customer.tagsDescription: Tags assigned to a customer (up to 250 tags, each up to 255 characters).
9. Customer Note
Property:
order.customer.noteDescription: A custom note about the customer.
10. Customer Order Count
Property:
order.customer.orders_countDescription: The number of orders the customer has placed.
11. Customer Total Spent
Property:
order.customer.total_spentDescription: The total amount spent by the customer across all their orders.
Final Thoughts
Custom Order Rules give you the flexibility to tailor your loyalty program to fit your unique business needs. Whether you want to reward high-value orders, exclude certain discount codes, or prevent specific customer groups from earning points, these rules allow you to fine-tune how points are awarded. By strategically setting up Order Rules, you can create a more rewarding and engaging experience for your customers while maintaining control over your loyalty program’s structure. If you need any assistance or have questions, our team is here to help—just reach out!
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Please let us know if you have any questions.
Sincerely,
The Glow Team