ReferOn launches three powerful new features for smarter affiliate management

Async task tracking, affiliate-managed postbacks, and bulk payments put greater control and efficiency in users’ hands, marking a major step forward in ReferOn’s mission to streamline affiliate operations.

Press release.- ReferOn has introduced three major features aimed at making affiliate operations faster, smoother and more scalable than ever.

The latest updates, including Async task tracking, affiliate-controlled postbacks and bulk payment generation, reflect ReferOn’s ongoing commitment to removing friction and empowering users with practical and efficient tools.

• Async Tasks: Say goodbye to frozen screens, slow loading and laggy sessions. The new system handles background-heavy processes such as bulk payments asynchronously (and with real-time tracking). This ensures smoother overall performance where users can monitor complex actions without overloading their session.
• Affiliate-Controlled Postbacks: Affiliates can now manage their own postback setup directly in the platform (when enabled by their manager). No more tickets, long email threads or tedious back-and-forth communication. Campaigns go live faster, and everyone moves more efficiently and with less delay.
• Bulk Payment Generation: One of the more repetitive recurring workflows for users just became radically more efficient (and easy). Users can now generate payments for multiple partners in bulk with just a few clicks, freeing up time for higher-impact work.

Vladyslav Bondarenko, ReferOn’s head of product, commented on the new features, “At ReferOn, we design for scale, efficiency and performance. These new features are more than simple improvements; they represent the foundations of a more autonomous, convenient and resilient system. We’re about empowering both operators and affiliates, and we’ve done that by providing self-service and streamlined tools to keep control in their hands. The ReferOn team continues to deliver on our promise of user empowerment without complexity.”