This page summarizes the selected creator, reporting window, source data, and top-performing videos.

Total Views

4,409,491

Total Revenue

$4,883

Videos / Streams

180

Average Views

24,497

Performance Over Time
Total Revenue by Content Type
Average View % by Content Type
Top Videos

This page summarizes lifecycle performance for the active talent and date window.

Latest Views vs Video Age
Recent Momentum vs Lifetime Rate
Lifecycle Classification Guide
Lifecycle category What it means Classification rule How to read it
Evergreen The upload is still drawing a meaningful recent pace well after release. Age is at least 90 days and recent 30-day average views/day is at least 25% of lifetime average views/day. Long-tail content that is still contributing after the initial release window.
Front-loaded The upload depended heavily on launch-period traction and has cooled substantially. The 30-day launch window is fully observed and recent 30-day average views/day is no more than 10% of observed day-30 views/day. Launch-driven content that may need strong release timing or promotion to repeat.
Re-accelerating The upload is gaining momentum compared with the immediately prior period. Growth acceleration ratio is finite and at least 1.5. Content with renewed activity, possibly from search, recommendations, clips, or a new audience fit.
Other The upload does not meet the re-accelerating, evergreen, or front-loaded rule. Fallback category after applying the momentum plot priority order. Neutral lifecycle profile under the current data window.
Shorts
Videos
Live Streams

This page focuses on topic, tag, and collaboration patterns that can guide future content planning.

Topic Performance
Tag Performance
Topic Longevity by Video Type
Topic Table
Tag Table
Collaboration Performance

This page evaluates timing patterns for the active talent and date window.

Day-of-Week Deviation from Average
Weekend vs Weekday Distribution
Topic-Weekday Heatmap
Day-of-Week Performance
Weekday Summary

This page summarizes audience composition and audience geography where exports are available.

Audience Age and Gender Trends
Audience Geography
Audience Summary

These recommendations are generated from the active talent/date window and should be read as descriptive signals, not causal claims.

Highest-Priority Recommendations

Test Sun for higher-priority uploads

strong
High priority | publishing

Finding: Sun had the strongest median views per video among weekdays with enough observations.

Recommendation: Consider scheduling higher-effort uploads on Sun when the topic and production schedule fit.

Evidence: Median views per video were 20,774 (32% vs the weighted weekday baseline) across 20 videos.

Caveat: This is descriptive, not causal. Weekday effects can be confounded with topic, event timing, format, or creator availability.

Test more around topic: music

strong
High priority | content

Finding: `music` has the strongest average views per video among groups with enough examples.

Recommendation: Use `music` as a candidate for repeatable testing, while checking fit with audience and production constraints.

Evidence: Average views per video: 31,323 (28% vs the weighted group baseline) across 31 videos.

Caveat: Groups can overlap with format, publishing timing, collaboration, and title effects. This rule is descriptive.

Watch tag signal: shorts

strong
High priority | content

Finding: `shorts` has the strongest average views per video among groups with enough examples.

Recommendation: Use `shorts` as a candidate for repeatable testing, while checking fit with audience and production constraints.

Evidence: Average views per video: 39,773 (50% vs the weighted group baseline) across 71 videos.

Caveat: Groups can overlap with format, publishing timing, collaboration, and title effects. This rule is descriptive.

Evaluate collaboration lift

strong
High priority | content

Finding: Collaborative uploads are not clearly outperforming non-collaborative uploads on average views per video.

Recommendation: Do not increase collaborations based on this signal alone; prioritize fit and concept quality.

Evidence: Collaborative average: 16,811; non-collaborative average: 27,968; lift: -40%.

Caveat: Collaboration labels can be imperfect, and collaborations may cluster in specific topics or event types.

Repeat format tests: short

strong
High priority | performance

Finding: short has the strongest average views per video among formats with enough examples.

Recommendation: Use this format as a candidate for repeatable testing, while checking whether the advantage holds by topic and timing.

Evidence: Average views per video: 39,773 (62% vs format baseline) across 71 videos.

Caveat: Format performance can be influenced by topic mix, upload age, collaboration, and promotion.

Publishing Strategy

Test Sun for higher-priority uploads

strong
High priority | publishing

Finding: Sun had the strongest median views per video among weekdays with enough observations.

Recommendation: Consider scheduling higher-effort uploads on Sun when the topic and production schedule fit.

Evidence: Median views per video were 20,774 (32% vs the weighted weekday baseline) across 20 videos.

Caveat: This is descriptive, not causal. Weekday effects can be confounded with topic, event timing, format, or creator availability.

Compare weekdays as a publishing window

weak
Low priority | publishing

Finding: Weekdays currently show higher average views per video in the active window.

Recommendation: Treat this as an early timing signal and continue collecting examples before changing cadence.

Evidence: Weekend average: 24,124; weekday average: 24,649; weekend lift: -2%.

Caveat: Weekend and weekday groups may differ by topic, format, promotion, or event context.

Content Strategy

Test more around topic: music

strong
High priority | content

Finding: `music` has the strongest average views per video among groups with enough examples.

Recommendation: Use `music` as a candidate for repeatable testing, while checking fit with audience and production constraints.

Evidence: Average views per video: 31,323 (28% vs the weighted group baseline) across 31 videos.

Caveat: Groups can overlap with format, publishing timing, collaboration, and title effects. This rule is descriptive.

Watch tag signal: shorts

strong
High priority | content

Finding: `shorts` has the strongest average views per video among groups with enough examples.

Recommendation: Use `shorts` as a candidate for repeatable testing, while checking fit with audience and production constraints.

Evidence: Average views per video: 39,773 (50% vs the weighted group baseline) across 71 videos.

Caveat: Groups can overlap with format, publishing timing, collaboration, and title effects. This rule is descriptive.

Evaluate collaboration lift

strong
High priority | content

Finding: Collaborative uploads are not clearly outperforming non-collaborative uploads on average views per video.

Recommendation: Do not increase collaborations based on this signal alone; prioritize fit and concept quality.

Evidence: Collaborative average: 16,811; non-collaborative average: 27,968; lift: -40%.

Caveat: Collaboration labels can be imperfect, and collaborations may cluster in specific topics or event types.

Audience Strategy

Prioritize geography context: United States

moderate
Medium priority | audience

Finding: United States is the largest available geography signal in the latest audience geography snapshot.

Recommendation: Use this region as context for scheduling, localization, reference choices, or audience-development experiments.

Evidence: Estimated Cumulative Views: 1,849,827.

Caveat: Geography exports may be share-based or estimated, and unmatched country codes are omitted from the map.

Primary audience segment: 25-34 Female

weak
Low priority | audience

Finding: 25-34 / Female is the largest observed age-gender share in the latest audience period.

Recommendation: Use this segment as context for packaging, topic framing, and audience-growth tests.

Evidence: Latest observed share: 17.7% across 2 videos.

Caveat: Audience demographics are percentage/share exports, not raw viewer counts, and can shift with missing or partial exports.

Performance Strategy

Repeat format tests: short

strong
High priority | performance

Finding: short has the strongest average views per video among formats with enough examples.

Recommendation: Use this format as a candidate for repeatable testing, while checking whether the advantage holds by topic and timing.

Evidence: Average views per video: 39,773 (62% vs format baseline) across 71 videos.

Caveat: Format performance can be influenced by topic mix, upload age, collaboration, and promotion.

Check reliance on top-performing uploads

moderate
Medium priority | performance

Finding: The top 5 videos account for 16% of observed views in the active window.

Recommendation: Use top videos as examples, but avoid assuming performance depends on only a few outliers.

Evidence: Top-5 view share: 16%.

Caveat: This is a concentration signal based on observed rows; it does not explain why those videos performed well.

Caveats and Data Limits
  • Compare weekdays as a publishing window: Weekend and weekday groups may differ by topic, format, promotion, or event context.
  • Primary audience segment: 25-34 Female: Audience demographics are percentage/share exports, not raw viewer counts, and can shift with missing or partial exports.

Use this dashboard as a descriptive operating view. Model-informed recommendations are planning signals, not proof of causality.

Filters
Interpretation Notes
  • Reporting period follows the selected start_date and end_date; when both are empty, all available rows are used.
  • Content type filters limit topic-weekday modeling to the requested formats that exist in the prepared data.
  • Descriptive statistics summarize observed performance and can be affected by outliers, posting volume, and missing exports.
  • Model-based recommendations estimate expected logged views by weekday/topic patterns; they are planning signals, not guarantees.
  • Correlation is not causation: timing, topic, collaboration, title, format, and external context can move together.
  • Creator Performance uses Bundle E lifecycle panel summaries for age, momentum, topic longevity, and per-format curve comparisons.
Recommendation Rules
  • Recommendations are generated by deterministic rule functions, not freeform AI prose.
  • Recommendations are descriptive signals from the active talent/date window, not causal claims.
  • Per-video metrics are preferred over total-volume metrics when making action recommendations.
  • Sample-size thresholds affect confidence labels; small samples produce weak or insufficient recommendations.
  • Views and revenue signals are evaluated separately when those fields are available.
  • Audience percentages are treated as shares, not raw audience counts.
  • Missing or sparse data produces fallback/data-limit messages instead of forced recommendations.
Lifecycle Classification Rules
  • Re-accelerating: recent 7-day average views per day are at least 1.5x the prior 7-day average.
  • Evergreen: the upload is at least 90 days old and its recent 30-day average views per day are at least 25% of its lifetime average views per day.
  • Front-loaded: the 30-day launch window is observed and recent 30-day average views per day have fallen to 10% or less of the first-30-days average pace.
  • Other: the upload does not meet the re-accelerating, evergreen, or front-loaded rules.
  • When more than one rule could apply in the momentum plot, Bundle E labels the video in this order: Re-accelerating, then Evergreen, then Front-loaded, then Other.