344,799
Followers
247
Following
5,143
Tweets
1,331.8
Avg Engagement
590
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_CeeDeeThree'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:2015-04-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,074
- Avg Likes per Tweet:560.5
- Avg Retweets per Tweet:771.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,074 tweetsHis tweets consistently receive high engagement, with an average of 33,332 likes and 5,274 retweets per post. This indicates a highly active and loyal fan base.
560.5
Avg Likes/Tweet
771.3
Avg Retweets/Tweet
1,723,003
Total Likes
2,370,957
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
10
Median Retweets
310
75th Percentile
221,521
Top Tweet
3.86
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
22.0%
Original
10.8%
Replies
51.3%
Retweets
15.9%
Quotes
0.0%
Threads
0.5%
With Media
55.2%
With Links
20.8%
With #Tags
67.7%
With @Mentions
34.7%
With Emojis
75
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.49
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.7%
Weekday Posts
35.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,074 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 1,578 retweets (51% 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 3,074 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 primarily consists of NFL fans and sports enthusiasts. The content appeals to both casual viewers and dedicated followers of his career.
Average
Audience Quality
28.2%
Suspicion Index
41.6%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.3%
Empty Bio
38.7%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
57.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
26.8%
<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.
9,957,770
Total Potential Reach
12
Median Follower Reach
62
75th Percentile Reach
1.9%
>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).
37.3%
Creators
18,636 accounts
24.1%
Consumers
12,028 accounts
38.7%
Dormant
19,336 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):
711
Verified Followers
0.7% of total
10,497
Protected Accounts
10.39% of total
5 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 |
|---|---|---|---|
| @faisalbinturki1 | 3,353,221 | Entrepreneur | Sports, Travel, Entrepreneurship |
| @DailyLoud | 1,684,820 | Music Blogger | Hip-Hop, Music, Updates |
| @CBSSports | 1,378,673 | Sports Media | Sports, News, Updates |
| @ChipotleTweets | 1,283,858 | Restaurant | Food, Sustainability, Community |
| @WhistleBlitz | 1,155,480 | - | - |
| @NFLFantasy | 1,016,970 | Sports Media | Football, Fantasy, NFL |
| @LeBronJames | 1,008,805 | - | - |
| @michaelirvin88 | 731,489 | Football Player | Football, Family, Faith |
| @modsiwW | 475,390 | Model | Fashion, Modeling, Business |
| @drpepper | 458,854 | Beverage Brand | CFB, Fansville, GOSTATE |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,670
Followers With Bio
53,329
Followers Without Bio
47.2%
% With Bio
52.8%
% 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 3,074 analyzed589,618
Combined Engagement
273,029
Total Likes
316,589
Total Retweets
117,924
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
y’all really gotta chill wasn’t even like dat 👎🏾 https://t.co/ziQaGkAWbT
RT @iamssseasick: mark your calendars!! https://t.co/WQ1OUXXyLG
Release? https://t.co/A3DSryGwbM
RT @_princesscierra: This is Amerikkka. https://t.co/apLuNVbz0N
RT @theweeknd: playing with me is a dangerous game.
Key Insights & Takeaways
His top tweets often include game highlights or moments, which drive engagement. Gratitude and personal updates are common, showing a connection with his audience. Profile changes and promotional content are frequently shared, indicating a focus on brand visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 344,799
- + 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 @_CeeDeeThree reveals an exceptionally influential Twitter presence with 344,799 followers. The account demonstrates a content-creator strategy, averaging 1,331.8 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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