X Product Head Reveals Removal of Top 30 High Revenue Accounts from For You Timeline Increased User Engagement and Daily Active Users
Nikita Bier stated that the experimental results show that reducing exposure to high-paying revenue-sharing accounts helps enhance overall platform engagement.
This adjustment reflects X platform's optimization exploration between content recommendation and creator incentives.
From a market mechanism perspective, advertisers and users as buyers have provided positive feedback on the optimized experience. This event prompted Bier to publicly share the experimental data, directing funds towards X's advertising ecosystem; X platform benefits from increased engagement driving advertising revenue, while some high-revenue creators face short-term pressure due to reduced exposure.
Source: Public Information
ABAB AI Insight
X has previously balanced paid promotions and organic content through algorithm adjustments. This experiment continues the iteration of optimizing the For You timeline during the Elon Musk era, similar to findings in early Twitter recommendation system tests that reducing low-quality content improves retention.
From a capital perspective, X is utilizing internal A/B testing to mobilize engineering resources to optimize the timeline algorithm, motivated by enhancing user stickiness and advertising monetization efficiency, while reducing reliance on a single high-paying account to diversify risk.
Similar to TikTok's algorithm iterations that lower the weight of low-quality content or Meta Feed adjustments, X platform is in a fine-tuning phase of its recommendation algorithm, shifting from revenue-driven to long-term engagement optimization.
Essentially, this represents a technological substitution: the algorithm replaces the traditional logic of paid promotion by removing high-paying low-quality accounts, driven by data to prioritize engagement and enhance overall user value, steering the social platform from reliance on creator revenue sharing towards a high-quality content ecosystem and strengthening long-term competitiveness.
ABAB News · Cognitive Law
Reduce paid noise, increase genuine engagement.
Algorithm experiments take small steps, user data is real money.
In platform optimization, long-term engagement outweighs short-term revenue sharing.