Repeat Customer for WooCommerce

Every WooCommerce order edit screen tells you what was ordered and how much it cost. It tells you almost nothing about who placed the order. Repeat Customer adds a Customer metabox to the order sidebar showing key metrics for the customer behind the order - all computed locally from your existing WooCommerce data, with no external services. Metrics displayed:

• Orders - total paid order count (including this order)
• First order - date of first paid order
• Last order - date of most recent paid order
• Avg. order value - mean across all paid orders
• Avg. days between orders - purchase cadence at a glance
• Refunds - count of orders with refunds
• Lifetime value - net spend across all paid orders

Why this matters: When your team is packing order #4832, they have no quick way to know that this customer has been buying from you for two years, has placed 14 orders, and spends an average of 85 per order. That context changes how you handle the order - whether you include a thank-you note, prioritise dispatch, or flag it for a personal follow-up. Repeat Customer makes that information visible where fulfilment decisions are actually made - on the order edit screen. Guest customer matching (v1.1): Not all customers create accounts. Repeat Customer identifies returning guests by matching billing email, phone number, or company name against previous orders. A softer postcode match is also available for stores where address patterns matter. Each match strategy can be enabled or disabled individually from WooCommerce > Settings > Advanced > Repeat Customer. Visual order history timeline (v1.1): A proportional horizontal timeline shows all matched orders as clickable markers spaced by real elapsed time. A loyal customer with regular monthly orders looks visually different from a one-time buyer who last ordered three years ago. Hover for order details, click to jump to any previous order. Orders list column (v1.1): A lightweight "Customer" column on the WooCommerce orders list shows order count and lifetime value at a glance. First-time customers show as "New customer". Guest matches via postcode are prefixed with a tilde to indicate the softer signal. Key features:

• Works for both registered customers and guest checkouts
• Guest matching by email, phone, company name, or postcode
• Visual timeline showing purchase cadence at a glance
• Customer column on the orders list (order count + LTV)
• All data computed locally from WooCommerce orders - nothing leaves your store
• Results cached for performance - no repeated database queries
• Fully compatible with WooCommerce HPOS (High-Performance Order Storage)
• Lightweight - no external API calls, no custom database tables
• Configurable matching strategies via WooCommerce settings

Privacy: No data is transmitted externally. All metrics are computed from your existing WooCommerce order data. The plugin makes read-only queries against WooCommerce orders and caches results using WordPress transients.

1. Upload the repeat-customer-for-woocommerce folder to /wp-content/plugins/, or install directly through the WordPress plugin screen.
2. Activate the plugin through the "Plugins" screen in WordPress.
3. Open any WooCommerce order from a registered customer - the Customer metabox appears in the sidebar.

No configuration needed. The plugin works immediately after activation.

1.1.0

• Guest customer matching - identifies returning guests by email, phone, company name, or postcode
• Visual order history timeline with proportional spacing and clickable order markers
• Customer column on the WooCommerce orders list (order count + lifetime value)
• OrderBadger contextual CTA for repeat customers (dismissible)
• Match confidence labels (strong vs soft signal)
• Postcode match disclaimer for soft matches
• Settings panel under WooCommerce > Settings > Advanced > Repeat Customer
• Order details included in metrics for timeline rendering

1.0.0

• Initial release
• Customer metrics metabox on order edit screen
• Metrics: order count, first/last order dates, avg order value, avg days between orders, refund count, lifetime value
• Transient caching with automatic invalidation
• HPOS compatible