{"schema":"record/v1","id":"art_01M5NPD04J7NJFEWA9277SG6RC","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How do I read YouTube's audience retention report: what do flat lines, slow declines, spikes, dips and the 30-second 'intro' figure mean, and when does the report exist?","summary":"Problem: deciding which moments of a video to cut, front-load or expand from the retention graph. Conditions: video-level report in YouTube Studio Analytics (Overview or Engagement tab); key-moment highlights need a video of at least 60 seconds and at least 100 views, and data takes 1-2 days to process. Method (as documented): read four shapes. Flat = that part watched start to finish; gradual decline = interest waning (YouTube says videos generally taper); spike = more viewers watching, rewatching or sharing; dip = viewers skipping or leaving. 'Intro' is the share still watching after 30 seconds; YouTube's stated readings of a high intro are that the first 30 seconds matched the thumbnail/title expectation and held interest, and its remedies are to align thumbnail/title with content or vary the first 30 seconds. 'Top moments' are where almost no one dropped off; if they fall late, YouTube suggests moving compelling content earlier. 'Typical retention' compares your 10 latest videos...","status":"active","body":{"text":"Problem: deciding which moments of a video to cut, front-load or expand from the retention graph. Conditions: video-level report in YouTube Studio Analytics (Overview or Engagement tab); key-moment highlights need a video of at least 60 seconds and at least 100 views, and data takes 1-2 days to process. Method (as documented): read four shapes. Flat = that part watched start to finish; gradual decline = interest waning (YouTube says videos generally taper); spike = more viewers watching, rewatching or sharing; dip = viewers skipping or leaving. 'Intro' is the share still watching after 30 seconds; YouTube's stated readings of a high intro are that the first 30 seconds matched the thumbnail/title expectation and held interest, and its remedies are to align thumbnail/title with content or vary the first 30 seconds. 'Top moments' are where almost no one dropped off; if they fall late, YouTube suggests moving compelling content earlier. 'Typical retention' compares your 10 latest videos of similar length. Failure modes: the page itself says a spike can mean either interest or unclear content that had to be rewatched, so a spike is not automatically good; not every video shows every moment type. Limitations: this is platform documentation, it reports no thresholds for a 'good' intro percentage, and it does not say how moments are detected. Version/date: help page read 2026-10-23, undated.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Help page is undated and can change; detection method for moments is not documented.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://support.google.com/youtube/answer/9314415?hl=en","note":"Understand key moments > Intros; Understand key moments > Spikes; Understand key moments > note"}]},"categories":["T10","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://support.google.com/youtube/answer/9314415?hl=en","claim":"Problem: deciding which moments of a video to cut, front-load or expand from the retention graph. Conditions: video-level report in YouTube Studio Analytics (Overview or Engagement tab); key-moment highlights need a video of at least 60 seconds and at least 100 views, and data takes 1-2 days to process. Method (as documented): read four shapes. Flat = that part watched start to finish; gradual decline = interest waning (YouTube says videos generally taper); spike = more viewers watching, rewatching or sharing; dip = viewers skipping or leaving. 'Intro' is the share still watching after 30 seconds; YouTube's stated readings of a high intro are that the first 30 seconds matched the thumbnail/title expectation and held interest, and its remedies are to align thumbnail/title with content or vary the first 30 seconds. 'Top moments' are where almost no one dropped off; if they fall late, YouTube suggests moving compelling content earlier. 'Typical retention' compares your 10 latest videos of similar length. Failure modes: the page itself says a spike can mean either interest or unclear content that had to be rewatched, so a spike is not automatically good; not every video shows every moment type. Limitations: this is platform documentation, it reports no thresholds for a 'good' intro percentage, and it does not say how moments are detected. 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Conditions: video-level report in YouTube Studio Analytics (Overview or Engagement tab); key-moment highlights need a video of at least 60 seconds and at least 100 views, and data takes 1-2 days to process. Method (as documented): read four shapes. Flat = that part watched start to finish; gradual decline = interest waning (YouTube says videos generally taper); spike = more viewers watching, rewatching or sharing; dip = viewers skipping or leaving. 'Intro' is the share still watching after 30 seconds; YouTube's stated readings of a high intro are that the first 30 seconds matched the thumbnail/title expectation and held interest, and its remedies are to align thumbnail/title with content or vary the first 30 seconds. 'Top moments' are where almost no one dropped off; if they fall late, YouTube suggests moving compelling content earlier. 'Typical retention' compares your 10 latest videos of similar length. Failure modes: the page itself says a spike can mean either interest or unclear content that had to be rewatched, so a spike is not automatically good; not every video shows every moment type. Limitations: this is platform documentation, it reports no thresholds for a 'good' intro percentage, and it does not say how moments are detected. Version/date: help page read 2026-10-23, undated.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Help page is undated and can change; detection method for moments is not documented.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://support.google.com/youtube/answer/9314415?hl=en","note":"Understand key moments > Intros; Understand key moments > Spikes; Understand key moments > note"}]},"tags":[],"type":"article","links":[],"title":"How do I read YouTube's audience retention report: what do flat lines, slow declines, spikes, dips and the 30-second 'intro' figure mean, and when does the report exist?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Problem: deciding which moments of a video to cut, front-load or expand from the retention graph. Conditions: video-level report in YouTube Studio Analytics (Overview or Engagement tab); key-moment highlights need a video of at least 60 seconds and at least 100 views, and data takes 1-2 days to process. Method (as documented): read four shapes. Flat = that part watched start to finish; gradual decline = interest waning (YouTube says videos generally taper); spike = more viewers watching, rewatching or sharing; dip = viewers skipping or leaving. 'Intro' is the share still watching after 30 seconds; YouTube's stated readings of a high intro are that the first 30 seconds matched the thumbnail/title expectation and held interest, and its remedies are to align thumbnail/title with content or vary the first 30 seconds. 'Top moments' are where almost no one dropped off; if they fall late, YouTube suggests moving compelling content earlier. 'Typical retention' compares your 10 latest videos...","evidence":{"claims":[{"url":"https://support.google.com/youtube/answer/9314415?hl=en","claim":"Problem: deciding which moments of a video to cut, front-load or expand from the retention graph. Conditions: video-level report in YouTube Studio Analytics (Overview or Engagement tab); key-moment highlights need a video of at least 60 seconds and at least 100 views, and data takes 1-2 days to process. Method (as documented): read four shapes. Flat = that part watched start to finish; gradual decline = interest waning (YouTube says videos generally taper); spike = more viewers watching, rewatching or sharing; dip = viewers skipping or leaving. 'Intro' is the share still watching after 30 seconds; YouTube's stated readings of a high intro are that the first 30 seconds matched the thumbnail/title expectation and held interest, and its remedies are to align thumbnail/title with content or vary the first 30 seconds. 'Top moments' are where almost no one dropped off; if they fall late, YouTube suggests moving compelling content earlier. 'Typical retention' compares your 10 latest videos of similar length. Failure modes: the page itself says a spike can mean either interest or unclear content that had to be rewatched, so a spike is not automatically good; not every video shows every moment type. Limitations: this is platform documentation, it reports no thresholds for a 'good' intro percentage, and it does not say how moments are detected. 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