Codi Butts
MTV’s Floribama Shore cast member.
74,189
Followers
916
Following
10,689
Tweets
290.9
Avg Engagement
41
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @codibutts'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: Mid-Tier (10K+)
- Account Age:2010-12-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,177
- Avg Likes per Tweet:32.5
- Avg Retweets per Tweet:258.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,177 tweetsThe average engagement per tweet is moderate, with around 1,108 likes and 122 retweets. The user's political tweets tend to generate more interaction compared to other content.
32.5
Avg Likes/Tweet
258.4
Avg Retweets/Tweet
103,243
Total Likes
820,920
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
2
Median Retweets
28
75th Percentile
450,618
Top Tweet
3.92
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
24.4%
Original
13.3%
Replies
21.7%
Retweets
40.6%
Quotes
0.0%
Threads
0.1%
With Media
55.6%
With Links
72.5%
With #Tags
45.7%
With @Mentions
7.9%
With Emojis
75
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.54
Reply/Original Ratio
1.87
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92.1%
Weekday Posts
7.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,177 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 689 retweets (22% 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 3,177 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 10,000 followersThe audience likely includes fans of MTV's Floribama Shore and individuals interested in political and social discussions. The user's content may also attract those who follow political activism and racial issues.
Average
Audience Quality
26.3%
Suspicion Index
37.5%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.1%
Empty Bio
33.0%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
54.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
22.8%
<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.
2,195,773
Total Potential Reach
21
Median Follower Reach
94
75th Percentile Reach
2.4%
>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).
45.2%
Creators
4,525 accounts
21.8%
Consumers
2,180 accounts
33.0%
Dormant
3,295 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):
41
Verified Followers
0.41% of total
1,470
Protected Accounts
14.7% of total
6 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 |
|---|---|---|---|
| @aimeehall1001 | 100,851 | - | - |
| @TrentVessel7 | 95,712 | Athlete | sports, travel, food |
| @GusSmyrnios | 77,325 | Reality TV Star | Floribama Shore, Challenge MTV, Fitness |
| @Caleb721 | 70,551 | - | - |
| @SpoonOfZeke | 65,860 | - | - |
| @CollinDueno | 64,192 | Writer | - |
| @allanralves | 57,299 | Unknown | Fortaleza, Nilópolis, Music |
| @coincatch1 | 57,141 | Crypto Influencer | Crypto, AMA's, Safe Projects |
| @DanielleMejiaCA | 37,938 | - | - |
| @thyckredbbw | 36,158 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,788
Followers With Bio
5,212
Followers Without Bio
47.88%
% With Bio
52.12%
% 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 3,177 analyzed710,557
Combined Engagement
0
Total Likes
710,557
Total Retweets
142,111
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @JoeBiden: It’s a new day in America.
RT @JoeBiden: Let me be clear: A Biden-Harris Administration won't increase taxes by a dime on anyone making less than $400,000 a year.
RT @JoeBiden: .@KamalaHarris, you made us all proud tonight.
RT @JoeBiden: Now the real work begins, folks. Follow along at @POTUS as we build back better. https://t.co/fHViqSqwp2
RT @KamalaHarris: For the people—always. https://t.co/KW0TS1cnUq
Key Insights & Takeaways
The user frequently uses hashtags related to political movements and social justice, indicating a strong interest in activism. They often express solidarity with Black communities, even when not identifying as Black themselves. Their political tweets are likely to drive higher engagement due to their relevance and emotional tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 74,189
- + 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 @codibutts reveals an well-established Twitter presence with 74,189 followers. The account demonstrates a content-creator strategy, averaging 290.9 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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