WP Manifestindependent plugin directory
manifest / ecommerce / wc-loyalty-card-system

WooCommerce Loyalty Card System

A complete loyalty program plugin for WooCommerce — featuring points earning, tiered memberships, physical-style loyalty cards, and gift cards, all integrated directly into the WooCommerce checkout and My Account pages.

by Towfique Elahe · github.com/towfique-elahe/wc-loyalty-card-system · website

1stars
7release downloads
≈10active sites
0forks

Install

The author publishes release zips, so WP-CLI can install straight from GitHub:

wp plugin install https://github.com/towfique-elahe/wc-loyalty-card-system/releases/download/v1.2.0/wc-loyalty-card-system.zip

From the readme

WooCommerce Loyalty Card System A complete loyalty program plugin for WooCommerce — featuring points earning, tiered memberships, physical-style loyalty cards, and gift cards, all integrated directly into the WooCommerce checkout and My Account pages. Requirements | Requirement | Minimum Version | |---|---| | WordPress | 5.0 | | PHP | 7.2 | | WooCommerce | 4.0 | | MySQL | 5.6 | Features Loyalty Points - Customers automatically earn points when an order is marked Completed - Dual earning rate: 1 point per 100 TK + 5 bonus points per 450 TK spent - Fixed point value: 1 point = 1 TK discount - Configurable minimum points required before redemption - Configurable point expiry in days (set to 0 for no expiry) - Full points history tracked per user - Points applied as an optional discount at checkout — customers enter how many points to use, and the discount is deducted from the order total before payment Tiered Membership - Users are automatically placed into tiers based on their lifetime points - Four default tiers (fully customizable): | Tier | Points Required | Discount | |---|---|---| | Bronze | 0 – 499 | 0% | | Silver | 500 – 1,999 | 5% | | Gold

Read the full README on GitHub →

Releases

TagPublishedAssetDownloads
v1.2.0 Feb 27, 2026 wc-loyalty-card-system.zip 1
v1.1.1 Feb 26, 2026 wc-loyalty-card-system.zip 6

Active-site estimate ≈10 comes from the median of recent superseded releases. Method.