My TikTok analytics show 0% For You traffic and views now come mostly from followers. Is my account shadowbanned, and what should I test?

Short Answer

In short, 0% For You traffic does not prove a permanent shadowban, but it is serious enough to audit per-post eligibility, account status, analytics timing, and early watch signals. TikTok says some allowed posts can still be ineligible for the For You feed, and recommendation systems weigh viewer behavior such as watch time, completion, likes, shares, skips, and content information. The detailed breakdown below shows how to separate a policy restriction, a reporting issue, and a creative-performance problem before you start deleting everything.

Check Eligibility First

Start with the boring checks because they are the only ones TikTok actually documents. Open TikTok Studio, check Account Check or Account Status, then inspect analytics on the specific posts that stopped getting For You distribution. TikTok’s help pages say creators can see whether a post is ineligible for the For You feed and can appeal from the post analytics screen when TikTok provides that notice.

Look for patterns across the last 10-20 uploads, not one video. If every new post shows 0% For You while older posts still have normal traffic sources, that points to a current account, content, or reporting issue. If only a few posts are affected, compare those clips for reused footage, watermarked reposts, risky claims, sexualized framing, shocking imagery, copyright material, artificial engagement, or AI content that should have been labeled.

Do not assume support templates mean there is no issue, but also do not build your diagnosis around the word “shadowban.” TikTok’s public language is usually about account standing, content violations, account recommendation, and For You feed eligibility. Use those terms in appeals and notes, because they match the platform’s documented categories.

Read The Metrics

A sudden fall from broad For You distribution to mostly follower views can happen for three different reasons. The first is eligibility: the post is not being recommended. The second is analytics: the traffic-source report may lag, group traffic under another bucket, or update after initial views. The third is performance: the post receives a small test audience, then weak early retention or engagement prevents wider distribution.

TikTok’s own recommendation explanation says For You ranking uses many signals, including user interactions, content information, and device or account settings, with watch behavior generally carrying meaningful weight. So your audit should include average watch time, percentage watched, watched-full-video rate, rewatches, shares, comments, saves, follows from video, and whether viewers swipe away in the first few seconds. A post with 100 follower views and strong retention is different from a post with 100 follower views and a sharp first-second drop.

If you make faceless or AI-assisted clips, separate production speed from publishing judgment. You can draft the clips in YumCut to test new hooks, captions, pacing, and language variants quickly, but a human should still review each post for originality, platform rules, misleading AI depictions, reused media, and whether the first seconds clearly promise something viewers want. Fast output only helps if the new clips give TikTok cleaner signals than the old format.

Run A Clean Test

For the next 7-14 days, stop changing five things at once. Publish a small set of clean, original posts in the same niche, without recycled clips, engagement-bait captions, banned-sounding hashtags, questionable sounds, or aggressive reposting. Keep the topics close enough to your old audience that follower views are still meaningful, but vary the opening frame, first line, video length, and payoff.

Use a simple test matrix: three hooks for the same idea, two lengths, and one clear viewer promise per video. For example, if you post educational, gaming, story, product, or commentary content, make the first two seconds show the result, conflict, mistake, or question. TikTok’s business guidance for video creative also emphasizes a clear hook early in the video, which is consistent with the way creators should think about retention even outside paid ads.

Do not delete and repost every low performer immediately. That can erase evidence you need for diagnosis and may make the account look noisier. Instead, log each post’s publish time, topic, length, hook, For You percentage, follower percentage, search percentage, average watch time, completion rate, shares, comments, and any eligibility notices after 24 and 72 hours.

Recovery Plan

If account status shows a warning, handle that first: appeal eligible posts, remove or revise risky drafts, and document dates. If account status is clean but For You remains 0% across many posts, send support a concise report with examples, dates, screenshots of analytics, account status, and whether each post shows an eligibility notice. Avoid emotional language and ask specifically for review of For You feed eligibility or account recommendation status.

If the test posts regain any For You traffic, treat the problem as a content-pattern reset rather than a total account block. Make more variations of the posts that got even a small recommendation signal, then rebuild around retention and shares. You can create the video in YumCut when you need several faceless versions from the same script, but keep the final publish batch small enough that you can learn from each result.

If nothing changes after clean tests and appeals, diversify while you wait. Repurpose the strongest ideas for YouTube Shorts, Instagram Reels, Pinterest Idea Pins, and search-friendly clips. That does not “fix” TikTok, but it protects your workflow from one opaque distribution source and gives you more data about whether the idea itself still works.