44.0M
Followers
4.2K
Following
1800.0M
Total Hearts
2.8K
Videos
638.5K
Avg Hearts/Video
7.78%
Engagement Rate
7.2y
Account Age
512.8K
Followers/Month
21.0M
Hearts/Month
32.9
Videos/Month
Account Overview
What This Report Covers
The account @joealbanese has 44 million followers, indicating significant scale and reach. With an average of 1.64 million views per video and 1.8 billion total likes, the account demonstrates strong engagement, achieving a 7.78% engagement rate. These metrics highlight a highly active and influential presence on the platform.
Account Classification
| Account Size | Mega (10M+) |
| Account Age | 2018-12-30 |
| Verification | Yes |
| Language | EN |
| Follower Ratio | 11K:1 |
Data Summary
| Videos Analyzed | 35 |
| Avg Plays per Video | 1,644,557 |
| Avg Likes per Video | 123,661 |
| Engagement Rate | 7.78% |
Engagement Analysis
Based on 35 videos
@joealbanese's engagement metrics demonstrate a highly active and resonant presence on TikTok. With 44 million followers, the account achieves an overall engagement rate of 7.78%, significantly above the platform's typical average of 1-3%. This rate is driven by an average of 123,661 likes per video, which accounts for approximately 93% of total engagement (123,661 / (123,661 + 372 + 3,981) = 93.2%). The high like-to-engagement ratio suggests content is primarily visual or emotionally impactful, with viewers prioritizing likes over comments or shares. Audience interaction patterns reveal a clear hierarchy in engagement types. While shares (3,981 per video) are lower than likes, they still represent a meaningful 3.1% of total engagement, indicating shareable content that aligns with trending topics or personal stories. Comments (372 per video) are the least frequent interaction, comprising 2.8% of total engagement. This could reflect a content strategy focused on quick, visually driven posts rather than in-depth discussions, or a deliberate emphasis on likes and shares over textual feedback. The metrics underscore strong content resonance, particularly with a large audience. The combination of 44 million followers and 7.78% engagement rate implies that the account's content consistently captures attention and drives action. The high likes per video (123,661) suggest widespread approval, while the moderate share rate (3,981) indicates that the content is both popular and shareable, though not necessarily discussion-heavy. This balance positions @joealbanese as a top-tier account with a clear ability to engage a massive audience through strategic, high-impact content.
1.6M
Avg Plays/Video
123.7K
Avg Likes/Video
372
Avg Comments/Video
4.0K
Avg Shares/Video
8.5K
Avg Saves/Video
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3.4M
Median Plays
300.2K
Median Likes
4.8M
75th Percentile
10.5M
Top Video
2.91
Engagement per 1K Followers
Normalized influence metric
Total Engagement (Sample)
57,559,500
Total Plays
4,328,135
Total Likes
13,003
Total Comments
139,341
Total Shares
297,172
Total Saves
Engagement Ratios
Per-view engagement breakdown
7.52%
Likes / Views
0.02%
Comments / Views
0.24%
Shares / Views
0.52%
Saves / Views
Viral Hit Rate
Videos exceeding 2x and 5x average views
14.30%
2x Avg (5 of 35)
0%
5x Avg (2 of 35)
Consistency Score
How predictable the view count is across videos
D
CV: 1.53
Lower CV = more consistent performance
Estimated Earnings
Revenue estimates based on follower count and average video performance
Creator Fund (Est. Monthly)
Based on avg 1.6M views/video
$1,082 – $2,164
$0.02 - $0.04 per 1,000 views
Sponsorship Value (Est. Per Post)
Based on 44.0M followers (Mega (10M+))
$220,000 – $528,000
Industry rate for mega (10m+) creators
Content Strategy Analysis
Based on 35 videos
The content focus for @joealbanese is not fully defined due to insufficient primary content category data. However, the account’s top hashtags—#football (1x), #athlete (1x), #tiktokshopblackfriday (1x), #funbeyondshopping (1x), and #clockstrikestwelve (1x)—suggest a thematic emphasis on sports, personal branding, and promotional activities. The use of #athlete and #football indicates a potential connection to athletic identity or sports-related content, while #tiktokshopblackfriday and #funbeyondshopping imply engagement with commerce or event-driven promotions. The hashtag #clockstrikestwelve, which appears only once, may reference a specific event, personal narrative, or niche theme, but its limited usage does not establish a consistent thematic pattern. The strategic use of hashtags is limited in scope and frequency, with each tag used only once. This suggests a lack of recurring thematic focus or deliberate hashtag campaigns. While the hashtags touch on sports, commerce, and personal branding, the absence of repeated categories or consistent tagging patterns indicates minimal thematic consistency. The account’s content strategy appears fragmented, with no clear alignment between hashtags and broader content themes. Without additional data on video types, engagement metrics, or recurring categories, it is not possible to assess the effectiveness or coherence of the content strategy further.
Video Duration Breakdown
29s
Average Duration
Original Sound Usage
Percentage of videos using the creator's own audio
Content Details
0
Pinned Videos
100.0%
Duet Enabled
100.0%
Stitch Enabled
Average caption length: 35 characters
Content Languages:
Posting Patterns & Optimal Timing
Based on 35 videos
Posting Frequency
| Videos per Week | 2.3 |
| Avg Gap Between Posts | 74.8h |
| Data Range | 105 days |
Most Active Days
Posting Hours (UTC)
Timing Insights
Understanding when a creator posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when @joealbanese's content is published, which often correlates with when their specific audience is most active on the platform. Peak posting times vary based on audience demographics, timezone distribution, and content type.
Top Videos
Top 10 by play count
34.6M
Combined Plays (Top 5)
2.7M
Combined Likes (Top 5)
6.9M
Avg Plays per Top Video
Mom was shook 🤣
10.5M
Views
907.4K
Likes
2.1K
Comments
12.3K
Shares
71.4K
Saves
Beat goes crazy 😭 @bellariv67
10.4M
Views
673.5K
Likes
2.7K
Comments
11.7K
Shares
47.1K
Saves
Had to get her with this 😭 @bellariv67
4.8M
Views
405.1K
Likes
891
Comments
33.1K
Shares
28.8K
Saves
Snow going crazy 🤣@bellariv67
4.6M
Views
298.0K
Likes
638
Comments
2.4K
Shares
15.1K
Saves
2025 VS 2020 😭
4.3M
Views
448.4K
Likes
986
Comments
15.2K
Shares
23.8K
Saves
@the_dancing_gamers #clockstrikestwelve
2.4M
Views
302.5K
Likes
801
Comments
12.3K
Shares
14.8K
Saves
Who got the best moves? 🤔
2.1M
Views
119.1K
Likes
396
Comments
1.5K
Shares
14.1K
Saves
One more before the year ends 😤
2.0M
Views
118.6K
Likes
290
Comments
1.3K
Shares
7.3K
Saves
Say the word on the beat challenge 😭
1.8M
Views
201.0K
Likes
306
Comments
30.2K
Shares
11.9K
Saves
Mom went crazy 😭
1.7M
Views
155.9K
Likes
490
Comments
2.5K
Shares
8.5K
Saves
Most Common Words
Top Sounds
Key Insights & Takeaways
Key Takeaways
Strengths
- + Strong engagement rate above platform average
- + Established follower base of 44,000,000
- + Consistent growth at 512.8K followers/month
- + Active posting schedule (2.3 videos/week)
- + Verified account with platform credibility
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic targeting for regional audiences
- ~ Explore collaboration potential with similar creators
Summary
This analysis of @joealbanese reveals a mega (10m+) TikTok presence with 44,000,000 followers. The account demonstrates an engagement rate of 7.78%, averaging 1.6M plays per video across 35 analyzed videos. Key strengths include 1800.0M total hearts and verified status, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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Start SearchingAbout This Analysis: This analysis is based on a snapshot of @joealbanese's TikTok profile and recent videos. It evaluates content strategy, engagement patterns, and posting behavior. Metrics are based on 35 analyzed videos.
Data collected and analyzed by TKMetrics | Analysis date: Feb 24, 2026