Why high-value orders need visibility
Large orders carry disproportionate risk and reward. On the reward side, a high-value customer who receives outstanding service is likely to return and spend more. A handwritten thank-you note costs pennies but creates a lasting impression. Priority dispatch signals that you value their business.
On the risk side, high-value orders are more likely to be fraudulent. A £1,200 order from a new customer paying by card and requesting express delivery to a PO Box is a very different proposition from a £1,200 order from a customer who has been buying from you for three years. Both show the same total in the orders list, but they need completely different handling.
Sorting and filtering isn't enough
WooCommerce lets you sort orders by total, and some merchants do this periodically to spot large orders. But sorting disrupts your workflow - you lose your place in the queue, and you're only looking at a snapshot. By the time you sort, the order may have already been processed by someone else without the extra attention it deserved.
What you need is a persistent visual signal that appears automatically the moment a high-value order arrives. Something that catches the eye in the normal flow of order processing, without requiring anyone to remember to check.
Automatic badges for high-value orders
OrderBadger lets you define what "high value" means for your store and automatically badges orders that match. The simplest version is a total threshold: "order total exceeds £500". But you can also combine value with other signals to create more targeted rules.
For example, you might want to flag high-value orders from new customers differently than high-value orders from regulars. The new customer order needs a fraud review; the regular customer order needs a thank-you note. With OrderBadger, these are two separate badges, each with their own colour and rule, both appearing on the same order if it matches both conditions.
Beyond simple thresholds
The most useful high-value rules combine the order total with context. A £500 order from a customer who normally spends £50 is far more noteworthy than £500 from someone who always spends that much. OrderBadger can evaluate both scenarios because it has access to customer purchase history - previous order count, lifetime spend, average order value, and days since last purchase.
This means you can write rules like "order total is more than twice the customer's average order value" or "first order from a registered customer exceeding £200". These compound rules catch the orders that genuinely need attention, rather than flagging every order above an arbitrary number.
Try it: ready-made rule recipes
Each recipe below is a real rule template you can activate in OrderBadger. Click through for the full configuration, test fixtures, and customisation tips.