Carrington♡❦
32,406
Followers
1,731
Following
2,380
Tweets
207.8
Avg Engagement
56
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @carrington125'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:2013-02-02
- Verification:No
- Location:LA / TN
Data Summary
- Tweets Analyzed:573
- Avg Likes per Tweet:105.3
- Avg Retweets per Tweet:102.4
- Followers Analyzed:31,724
Engagement Analysis
Based on 573 tweetsThe account has a high average number of likes per tweet, indicating strong audience interest. Retweets are less frequent, suggesting a more personal rather than viral style of engagement.
105.3
Avg Likes/Tweet
102.4
Avg Retweets/Tweet
60,358
Total Likes
58,703
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
72
Median Likes
12
Median Retweets
150
75th Percentile
35,723
Top Tweet
6.41
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
66.0%
Original
9.2%
Replies
24.6%
Retweets
0.2%
Quotes
0.0%
Threads
0.7%
With Media
41.0%
With Links
8.6%
With #Tags
51.3%
With @Mentions
41.9%
With Emojis
69
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 573 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 141 retweets (25% 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 573 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 31,724 followersThe audience appears to be a mix of friends and followers, with a focus on casual interactions and celebrations. The user engages with a variety of accounts, suggesting a broad social circle.
Average
Audience Quality
21.6%
Suspicion Index
30.6%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.3%
Empty Bio
26.4%
<10 Tweets
8.3%
Mass Following (>2K)
0.0%
New (<90 days)
40.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.6%
No URL
17.9%
<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.
144,828,915
Total Potential Reach
44
Median Follower Reach
202
75th Percentile Reach
5.5%
>1K followers
1.1%
>10K followers
0.5%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.7%
Creators
17,050 accounts
19.9%
Consumers
6,304 accounts
26.4%
Dormant
8,370 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):
256
Verified Followers
0.81% of total
5,312
Protected Accounts
16.74% of total
7 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 |
|---|---|---|---|
| @AustinMahone | 8,859,117 | Singer | music, fashion, travel |
| @GraysonDolan | 8,070,408 | Influencer | comedy, fitness, travel |
| @EthanDolan | 7,906,132 | Influencer | comedy, fitness, travel |
| @jccaylen | 6,294,851 | - | - |
| @KianLawley | 5,996,987 | Influencer | Comedy, Vlogging, Acting |
| @JVCKJ | 5,406,329 | Musician | Music, Pastel, Basketball |
| @ALISHAMARIE | 4,764,121 | Influencer | Fashion, Beauty, Lifestyle |
| @jakepaul | 4,597,989 | Boxer | Boxing, Influencer, Content Creator |
| @MatthewEspinosa | 3,754,043 | Actor | Acting, Writing, Podcasting |
| @AaronCarpenter | 3,127,386 | Influencer | music, fitness, travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
17,997
Followers With Bio
13,727
Followers Without Bio
56.73%
% With Bio
43.27%
% 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 573 analyzed48,767
Combined Engagement
6,111
Total Likes
42,656
Total Retweets
9,753
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @AlissaViolet: the best revenge is no revenge. move on. be happy. find inner peace. flourish.
RT @Baddiesvibe: https://t.co/0JRo5Ob1Vc
Front or back? 🤪 https://t.co/KfVzDJEqhW
although my birthday was yesterday we still had to celebrate 🎉❤️❤️ @jccaylen @tanamongeau @TrevorMoran @DOMthaB0MB https://t.co/s0waCKPzVo
Which house are you?🦁❤️ https://t.co/qQY8Y5spNj
Key Insights & Takeaways
The user often shares personal milestones and celebrations, indicating a focus on personal connections. They engage with a variety of accounts, suggesting a diverse network of friends and followers. The content is light-hearted and informal, reflecting a casual and friendly tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 32,406
- + 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 @carrington125 reveals an well-established Twitter presence with 32,406 followers. The account demonstrates a content-creator strategy, averaging 207.8 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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