Charlotte Crosby
https://t.co/bql2SeASGj
2,722,154
Followers
3,568
Following
36,637
Tweets
1,840.4
Avg Engagement
1,136
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Charlottegshore'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:2011-04-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,124
- Avg Likes per Tweet:521.4
- Avg Retweets per Tweet:1,319.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,124 tweetsHer tweets typically receive high likes and retweets, indicating strong audience interaction and interest in her content.
521.4
Avg Likes/Tweet
1,319.0
Avg Retweets/Tweet
1,628,856
Total Likes
4,120,574
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
4
Median Retweets
325
75th Percentile
421,139
Top Tweet
0.68
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
27.8%
Original
19.4%
Replies
45.3%
Retweets
7.5%
Quotes
0.0%
Threads
0.4%
With Media
27.7%
With Links
15.4%
With #Tags
73.0%
With @Mentions
47.5%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.7
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.0%
Weekday Posts
21.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,124 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 1,416 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 3,124 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 followersHer audience includes a broad demographic interested in pop culture, food, and social justice topics. They engage with her content on a regular basis.
Below Average
Audience Quality
37.5%
Suspicion Index
51.1%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.6%
Empty Bio
56.6%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
73.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
44.7%
<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.
30,773,212
Total Potential Reach
6
Median Follower Reach
41
75th Percentile Reach
2.1%
>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).
23.9%
Creators
11,938 accounts
19.5%
Consumers
9,737 accounts
56.6%
Dormant
28,325 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):
239
Verified Followers
0.24% of total
12,078
Protected Accounts
11.96% 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 |
|---|---|---|---|
| @JohnCena | 14,106,014 | Wrestler | Wrestling, Motivation, Self-promotion |
| @bunnydelphine | 2,067,109 | Influencer | cats, cosplay, gaming |
| @tito_mboweni | 1,474,426 | Politician | Economics, Politics, Agriculture |
| @RealMattLucas | 1,259,567 | Actor | Comedy, Acting, Television |
| @IAmJermainDefoe | 966,130 | Footballer | Football, RangersFC, England |
| @MilesSTEREOS | 861,962 | Musician | Guitarist, Writer, Producer |
| @APOLONIAPORN | 786,011 | - | - |
| @IamMzilikazi | 542,843 | Musician | Pan-African music, Album, Rise |
| @Moreno | 430,214 | Influencer | Business, Manager, Serious |
| @iamprincekash | 410,013 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,066
Followers With Bio
54,932
Followers Without Bio
45.61%
% With Bio
54.39%
% 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 3,124 analyzed1,391,153
Combined Engagement
0
Total Likes
1,391,153
Total Retweets
278,231
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Hollyyreillyy: When I say retweet this to save a life I literally MEAN retweet this to save a life
RT @tyswizzlee: The Amazon has been burning for 3 weeks, and I’m just now finding out because of the lack of media coverage. THIS IS ONE OF…
RT @VEGASHI269: Everyone shut the fuck up and watch this video of some calves thinking they have to jump over the white line https://t.co/q…
RT @coleyculture: this horse is so damn happy, imma have to rt for good luck https://t.co/xr3hWlMyJM
RT @Vada_Fly: George Floyd’s daughter saying “DADDY CHANGED THE WORLD” is the sweetest heartbreaking thing on the internet. 💔💔💔💔 https://t.…
Key Insights & Takeaways
She often blends humor with social commentary, making her content relatable and engaging. Her posts frequently touch on cultural and global issues, reflecting a diverse and informed audience. She uses trending topics to drive engagement, especially around food and celebrity culture.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,722,154
- + 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 @Charlottegshore reveals an exceptionally influential Twitter presence with 2,722,154 followers. The account demonstrates a content-creator strategy, averaging 1,840.4 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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