FUNNEH
Content Creator ʕ ﹷ ᴥ ﹷʔ https://krewdistrict.com/
358,630
Followers
998
Following
7,641
Tweets
768.1
Avg Engagement
565
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ItsFunneh'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:2012-10-09
- Verification:No
- Location:✧ ✦ ✧ krew.net ✧ ✦ ✧
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:707.5
- Avg Retweets per Tweet:60.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,237 tweetsTheir tweets receive high average likes and moderate retweets, indicating a loyal and active follower base. The engagement is driven by personal stories and content updates.
707.5
Avg Likes/Tweet
60.6
Avg Retweets/Tweet
2,290,230
Total Likes
196,031
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
257
Median Likes
6
Median Retweets
906
75th Percentile
73,987
Top Tweet
2.14
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
33.5%
Original
58.7%
Replies
5.1%
Retweets
2.8%
Quotes
0.0%
Threads
0.8%
With Media
38.6%
With Links
8.2%
With #Tags
65.5%
With @Mentions
53.3%
With Emojis
80
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.75
Reply/Original Ratio
0.55
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.5%
Weekday Posts
34.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 164 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 3,237 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 likely follows ItsFunneh for entertainment, content creation tips, and personal updates. They are interested in YouTube-related news and experiences.
Below Average
Audience Quality
38.1%
Suspicion Index
48.6%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.3%
Empty Bio
66.5%
<10 Tweets
0.9%
Mass Following (>2K)
0.0%
New (<90 days)
81.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
48.9%
<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.
6,175,836
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.4%
>1K followers
0.1%
>10K followers
0.0%
>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).
12.2%
Creators
6,111 accounts
21.3%
Consumers
10,656 accounts
66.5%
Dormant
33,233 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):
83
Verified Followers
0.08% of total
9,571
Protected Accounts
9.57% of total
1 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 |
|---|---|---|---|
| @ParisHilton | 16,826,550 | Entrepreneur | business, updates, media |
| @Razer | 3,437,448 | Gaming Company | Gaming, Support, Action |
| @RED | 923,328 | Activist | Health, Justice, Charity |
| @GuavaJuice | 441,668 | YouTuber | Guava, Videos, NFTs |
| @MeganPlays | 437,109 | Gamer | Gaming, Kindness, Stay Peachy |
| @Thinknoodles | 297,824 | YouTuber | Gaming, Pets, Food |
| @IntranceRBX | 279,593 | - | - |
| @SantaDecides | 272,934 | Author | Krampus, Santa, L |
| @Jayingee | 250,496 | Gamer | Gaming, Comedy, Business |
| @sweetyhigh | 195,788 | Entertainment | Celebs, trends, life |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,663
Followers With Bio
40,337
Followers Without Bio
59.66%
% With Bio
40.34%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,237 analyzed137,517
Combined Engagement
37,604
Total Likes
99,913
Total Retweets
27,503
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @YouTube: #DearClassof2020, we know how hard you’ve worked to make it to graduation so we want to celebrate you. Join us and a few frien…
RT @AshleyD48604018: "Why do we hate?" Racism destroyed in 1min by the brilliant Dr Jane Elliot. #BlackLivesMattter https://t.co/6sHFvKd2…
my youtube channel got hacked by mr.tesla man dni with the channel rn https://t.co/UvfNmek2lR
Got back into my yt account. Really happy that they didn’t delete anything and it’s just unlisted, phew. But working with YouTube to recover the channel. Hopefully it gets restored by tomorrow 🙏
✎ originality is rare nowadays
Key Insights & Takeaways
Their YouTube channel was hacked, but they managed to recover it without losing content. They emphasize the importance of originality in content creation. They are working with YouTube to fully recover their channel and ensure its security.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 358,630
- + High community engagement through conversations
- + 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 @ItsFunneh reveals an well-established Twitter presence with 358,630 followers. The account demonstrates a conversation-first approach, averaging 768.1 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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