The settled wisdom is that LinkedIn gives you no way to read your own post performance programmatically. That stopped being true on 8 July 2025, when LinkedIn shipped a member post analytics endpoint with eleven metrics. We read seventeen pages that rank for this question and only three name it. Here is what exists, who can actually get it, the metrics LinkedIn will not give a personal profile at all, and the storage question LinkedIn has never answered.

Is Twitter engagement down in 2026? Yes, and the corroborated benchmarks now show it: the median X engagement rate fell from about 0.035% to 0.029% to 0.015% across consecutive annual reads from RivalIQ and Sprout Social, off an already-tiny base (Buffer's 18.8M-post read puts the median non-Premium account near 0%). Real percentages where the reports give them, directional language where they don't, and the plural-cause explanation the single-cause AI-saturation narrative misses.

Standard Twitter analytics rewards volume. If voice is your moat, those metrics aren't the target. The 5 that are: voice match by post, engagement by tone, repeat engagers, voice match drift, and effort versus response. How to read each one, why engagement by tone is a research tool and not a scoreboard, whether impressions and follower count matter at all, how often to actually check, and what you can and can't track without a voice-trained model.