Algorithm changes fundamentally reshape how supply and demand interact on two-sided platforms, directly influencing traffic patterns. By altering ranking, recommendation, or pricing mechanisms, these updates can either enhance user experience, leading to increased engagement and conversions for both sides, or introduce significant friction. For instance, a new algorithm prioritizing new users might inadvertently reduce visibility for established sellers, causing them to disengage, which then means fewer attractive options for buyers, thus impacting overall traffic. This ripple effect, driven by network effects, can quickly create a vicious cycle where reduced activity on one side leads to a decline on the other-fewer drivers lead to longer wait times for riders, which then discourages riders and further impacts drivers. Conversely, well-calibrated adjustments can foster a virtuous cycle, where more relevant matches drive higher satisfaction and retention, attracting new users and boosting overall platform liquidity. Therefore, successful algorithmic shifts hinge on carefully balancing the needs of both sides to ensure sustainable growth and platform health. More details: https://idsrv.moipass.ru/Account/ForgotPassword?redirectUrl=https://abcname.com.ua/&siteid=&organizationId=