What’s New

Problem: Previously, users found it challenging to manage and interpret data effectively in the Metrics Aggregation Report due to the lack of sorting functionality and the presence of pagination, which hindered a seamless data review process. Solution: We enhanced the user experienc...

Fraudulent activities are unfortunately common in referral programs, as individuals often attempt to manipulate the system to accrue rewards unjustly. This manipulation typically involves creating multiple variations of a single email address to appear as unique participants. This is ...

Problem: Users faced difficulties in effectively reviewing and analyzing program performance over different time frames. The existing system only allowed data viewing on a daily basis for selected periods, which limited comprehensive long-term analysis. Solution: To address this, we...

Problem: The Gleam placement previously lacked default exclusions, potentially leading to its visibility in areas where it may disrupt user experience, such as checkout or cart pages. Solution: We’ve implemented default exclusions for the Gleam placement, mirroring those alrea...

Problem: Navigating large datasets in our reports has proven cumbersome for users because the header row scrolls out of view. This makes it challenging to align data with the correct column headings, reducing the ease and efficiency of data interpretation. Solution: We implemented s...