Cheeseaholic
Youtuber with 1M Subs
126,892
Followers
3,623
Following
2,303
Tweets
209.4
Avg Engagement
45
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Cheeseaholic_YT's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2018-10-29
- Verification:No
- Location:Brockton, MA
Data Summary
- Tweets Analyzed:2,190
- Avg Likes per Tweet:196.0
- Avg Retweets per Tweet:13.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,190 tweetsThe account maintains high engagement with its followers, indicating a loyal and interactive audience. The content is designed to spark interest and encourage participation through challenges and personal stories.
196.0
Avg Likes/Tweet
13.4
Avg Retweets/Tweet
429,132
Total Likes
29,417
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
64
Median Likes
2
Median Retweets
219
75th Percentile
7,328
Top Tweet
1.65
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
54.9%
Original
35.3%
Replies
4.8%
Retweets
5.0%
Quotes
0.0%
Threads
0.0%
With Media
30.3%
With Links
2.5%
With #Tags
50.6%
With @Mentions
37.4%
With Emojis
78
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.64
Reply/Original Ratio
1.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,190 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 106 retweets (5% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 2,190 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe audience is likely young, male, and interested in lifestyle, fitness, and entertainment content. They are active on social media and enjoy engaging with creators through likes and retweets.
Average
Audience Quality
33.6%
Suspicion Index
38.8%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.3%
Empty Bio
52.0%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
75.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.0%
No URL
32.4%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
29,800,523
Total Potential Reach
4
Median Follower Reach
18
75th Percentile Reach
1.3%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
20.5%
Creators
10,249 accounts
27.5%
Consumers
13,768 accounts
52.0%
Dormant
25,983 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
223
Verified Followers
0.22% of total
7,028
Protected Accounts
6.96% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,101,507 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NBA2K | 3,735,381 | Gaming | Basketball, Gaming, Entertainment |
| @adinross | 2,254,554 | Content Creator | Twitch, YouTube, Business |
| @Ronnie2K | 1,517,631 | Gaming Influencer | NBA, News, Giveaways |
| @CBSSports | 1,379,814 | Sports Media | Sports, News, Updates |
| @CashNasty | 1,329,373 | YouTuber | Basketball, Gaming, Business |
| @KaiCenat | 1,321,451 | Content Creator | Content Creation, KAI, Literature |
| @ZachBoychuk | 828,620 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @SleepSkee | 709,956 | Musician | Music, Independent, Artist |
| @barry4reall | 695,796 | Comedian | Sports, Music, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,758
Followers With Bio
44,235
Followers Without Bio
56.2%
% With Bio
43.8%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,190 analyzed27,117
Combined Engagement
26,211
Total Likes
906
Total Retweets
5,423
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
I JUST BOUGHT A HOUSE AT 21 YEARS OLD ALL OFF OF GAMING 🏡 https://t.co/AOq8E8UiG9
At 155 body weight benching 265 not my max either 💪💪💪 https://t.co/ZdkoWGn5gW
U got 30 min to spend $100,000 in one store where u going
Damn bro I’m down bad . My dog almost taller than me🥲🥲🥲 https://t.co/LXf6d7QnM2
OMG I FINALLY GOT A YOUTBE LOGO !!!!!! I WANNA THANK ALL MY DAY 1S AND ALL THE 2K DEVS !!! THIS FEELING IS CRAZY !! HARD WORK FINALLY PAYING OFF https://t.co/uASvEhO92B
Key Insights & Takeaways
The content often highlights personal achievements and milestones, which can build credibility and relatability. Interactive tweets like the $100,000 spending challenge encourage audience participation and engagement. Sharing lifestyle updates and fitness progress helps maintain a connection with followers and showcases a relatable persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 126,892
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @Cheeseaholic_YT reveals an well-established Twitter presence with 126,892 followers. The account demonstrates a content-creator strategy, averaging 209.4 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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