Nick Cannon
#FutureSuperstars premieres 11/21 on @vh1! Creating new stars & new careers ⭐️ @futuresuperstrs MR. NCREDIBLE aka THE KING of RAW&B
4,509,508
Followers
5,770
Following
32,304
Tweets
80.2
Avg Engagement
11,234
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NickCannon'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: Mega Influencer (1M+)
- Account Age:2009-01-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:51.1
- Avg Retweets per Tweet:29.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,231 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is often driven by personal stories, faith-based messages, and announcements.
51.1
Avg Likes/Tweet
29.0
Avg Retweets/Tweet
165,143
Total Likes
93,826
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
22
Median Likes
5
Median Retweets
61
75th Percentile
38,808
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
48.4%
Original
1.1%
Replies
20.8%
Retweets
29.7%
Quotes
0.0%
Threads
0.5%
With Media
73.6%
With Links
80.8%
With #Tags
33.7%
With @Mentions
29.9%
With Emojis
84
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
1.43
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
95.6%
Weekday Posts
4.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 671 retweets (21% 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 3,231 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 followersHis audience includes fans of his comedy, music, and television shows, as well as those interested in emerging talent and entertainment news. The audience is largely engaged with his personal and professional updates.
Average
Audience Quality
33.9%
Suspicion Index
43.5%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.5%
Empty Bio
46.7%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
73.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
32.6%
<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.
26,464,251
Total Potential Reach
13
Median Follower Reach
50
75th Percentile Reach
2.4%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
28.2%
Creators
14,124 accounts
25.0%
Consumers
12,509 accounts
46.7%
Dormant
23,367 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):
615
Verified Followers
0.61% of total
9,861
Protected Accounts
9.76% 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 |
|---|---|---|---|
| @robkardashian | 7,106,316 | Celebrity | Family, Fitness, Fashion |
| @icecube | 5,656,062 | Rapper | Music, West Coast, Video |
| @NicoleScherzy | 4,961,940 | Singer | Music, Dance, Empowerment |
| @eentertainment | 3,530,695 | Entertainment | TV, Celebrities, News |
| @PearlThusi | 3,476,976 | Actress | Actress, Netflix, Africa |
| @KChenoweth | 1,141,007 | Singer | Music, Broadway, Advocacy |
| @erikacostell | 896,313 | Influencer | Fashion, Music, Fitness |
| @NOH8Campaign | 801,991 | Activism | equality, bullying, discrimination |
| @EmmittSmith22 | 779,409 | Football | Family, football, enterprise |
| @PopBase | 754,023 | Entertainment News | Entertainment, News, Pop Culture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,976
Followers With Bio
48,012
Followers Without Bio
52.46%
% With Bio
47.54%
% 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 3,231 analyzed84,852
Combined Engagement
31,800
Total Likes
53,052
Total Retweets
16,970
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: The media is a click-seeking machine dressed up as a truth-seeking machine
@elonmusk Right there with you my Brother!✊🏾
RT @Chilis: don't worry @NickCannon we don't limit kids meals
EXPECT some big news tomorrow…👀 🍼
How my day is going…thanks @KevinHart4real 🤦🏾♂️ https://t.co/xrbobpXpX6
Key Insights & Takeaways
He frequently shares personal updates and moments, which resonate well with his audience. Faith and spiritual messages are a recurring theme in his tweets. He often announces news or events, which drives engagement and anticipation.
Strengths
- + Established follower base of 4,509,508
- + 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 @NickCannon reveals an growing Twitter presence with 4,509,508 followers. The account demonstrates a content-creator strategy, averaging 80.2 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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