Channing Tatum
I just want to be on an adventure.
7,381,705
Followers
299
Following
7,186
Tweets
3,312.6
Avg Engagement
11,073
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @channingtatum'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:2007-05-29
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,146
- Avg Likes per Tweet:1,101.9
- Avg Retweets per Tweet:2,210.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,146 tweetsHis tweets consistently receive high average likes and retweets, showing strong audience interaction. The verified user rate is low, indicating a mix of genuine and possibly bot followers.
1,101.9
Avg Likes/Tweet
2,210.7
Avg Retweets/Tweet
3,466,662
Total Likes
6,954,776
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
53
Median Retweets
691
75th Percentile
2,857,438
Top Tweet
0.45
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
49.1%
Original
5.6%
Replies
44.5%
Retweets
0.7%
Quotes
0.0%
Threads
4.4%
With Media
56.7%
With Links
52.4%
With #Tags
80.9%
With @Mentions
2.6%
With Emojis
121
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,146 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 1,401 retweets (45% 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 3,146 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 likely includes fans of his films and those interested in his personal life and adventures. The engagement suggests a mix of entertainment and curiosity-driven followers.
Average
Audience Quality
33.5%
Suspicion Index
44.3%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.0%
Empty Bio
45.2%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
71.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
32.5%
<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.
15,370,763
Total Potential Reach
13
Median Follower Reach
47
75th Percentile Reach
1.9%
>1K followers
0.3%
>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).
30.5%
Creators
15,250 accounts
24.3%
Consumers
12,144 accounts
45.2%
Dormant
22,606 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):
540
Verified Followers
0.53% of total
13,585
Protected Accounts
13.45% of total
4 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 |
|---|---|---|---|
| @BuzzFeed | 6,187,587 | Media | Quizzes, Buzzfeed, Data |
| @warnerbros | 2,602,128 | Film Studio | Movies, Entertainment, Hollywood |
| @ColtonLHaynes | 1,806,301 | Actor | acting, fashion, activism |
| @JamesGunn | 1,588,934 | Director | Coffee, Movies, Socializing |
| @chelseaperetti | 1,432,631 | Comedian | Comedy, Acting, Music |
| @NOH8Campaign | 802,032 | Activism | equality, bullying, discrimination |
| @MissyXMartinez | 630,785 | Comedian | internet, Manatee, comedy |
| @alexisohanian | 543,637 | Entrepreneur | Soccer, Gaming, Business |
| @gavinthomas | 531,161 | Child influencer | Family, Entertainment, Social Media |
| @aMonicaBellucci | 446,275 | Actress | Actress, Model, Beauty |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,403
Followers With Bio
51,591
Followers Without Bio
48.92%
% With Bio
51.08%
% 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 3,146 analyzed6,245,565
Combined Engagement
461,430
Total Likes
5,784,135
Total Retweets
1,249,113
Avg per Tweet
Key Metrics for Viral Tweets
40%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @TheEllenShow: If only Bradley's arm was longer. Best photo ever. #oscars http://t.co/C9U5NOtGap
RT @TheEllenShow: If only Bradley's arm was longer. Best photo ever. #oscars http://t.co/C9U5NOtGap
Yo anybody know of this shit and can explain it to me! Cause WTF! https://t.co/4Qhp6gj7IU
https://t.co/y6BBoFMOBz
https://t.co/rme5sxIITe
Key Insights & Takeaways
High engagement suggests his content resonates well with fans and curious followers. His verified rate is low, which may indicate a large portion of followers are not verified. His top tweets often include links, suggesting he shares content or promotes other material.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 7,381,705
- + 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 @channingtatum reveals an exceptionally influential Twitter presence with 7,381,705 followers. The account demonstrates a content-creator strategy, averaging 3,312.6 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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