Carly Booth
🏌🏼♀️Pro Golfer x3 European tour winner.📬 [email protected] @supreme_cbd #carly40
57,065
Followers
1,280
Following
11,002
Tweets
222.0
Avg Engagement
278
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CarlyBooth92'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:2011-01-27
- Verification:No
- Location:England, United Kingdom
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:62.1
- Avg Retweets per Tweet:159.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,196 tweetsCarly's tweets receive an average of 1,194 likes and 256 retweets, indicating a moderately engaged audience. Her content is well-received and shared within her community.
62.1
Avg Likes/Tweet
159.9
Avg Retweets/Tweet
198,375
Total Likes
511,097
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
2
Median Retweets
94
75th Percentile
82,474
Top Tweet
3.89
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
51.8%
Original
4.7%
Replies
32.9%
Retweets
10.7%
Quotes
0.0%
Threads
1.2%
With Media
92.1%
With Links
33.6%
With #Tags
66.7%
With @Mentions
50.6%
With Emojis
122
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 1,050 retweets (33% 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 3,196 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 followersHer audience is primarily interested in sports, particularly golf, and personal achievements. They engage with her content through likes and retweets.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
89
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
100.0%
<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.
12,166,859
Total Potential Reach
89
Median Follower Reach
253
75th Percentile Reach
5.7%
>1K followers
0.7%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,356
Protected Accounts
13.56% of total
8 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 |
|---|---|---|---|
| @BretBaier | 1,498,536 | Political Anchor | Politics, News, Author |
| @vernonkay | 1,141,848 | TV Presenter | TV presenter, Radio host, Football fan |
| @funder | 1,113,015 | Journalist | Politics, Journalism, Music |
| @espnsutcliffe | 943,000 | Sports Reporter | Sports, Reporting, Contact |
| @paddypower | 702,667 | Betting Company | Football, Betting, Humor |
| @KevinandTrevor | 693,322 | - | - |
| @SkySportsGolf | 314,776 | Sports Media | Golf, Sports, Updates |
| @2K_UK | 312,937 | Video Games | Gaming, Community, Creators |
| @robtswthrayguns | 256,417 | Inventor | synthwave, NFT, NSFW |
| @JeffGoddard52 | 229,542 | Interior Designer | Furniture, Lifestyle, Accessories |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,389
Followers With Bio
4,611
Followers Without Bio
53.89%
% With Bio
46.11%
% 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 3,196 analyzed223,124
Combined Engagement
0
Total Likes
223,124
Total Retweets
44,625
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @ManCity: https://t.co/Kz89wXt8It
RT @SCMPNews: Bust a move – with your school principal. 🕺 https://t.co/dGpKphbcAi
RT @LFC: Liverpool Football Club can confirm they have reached an agreement with Southampton for the transfer of Virgil van Dijk. Full story: https://t.co/tJy9vsGOen https://t.co/L17A7UwqaU
RT @JamesMilner: #TBT to yesterday.... when I wasn't on Twitter! 👋🏻 https://t.co/TJy4RxHZJx
RT @JKCorden: I mean... sensational. Happy Sunday x https://t.co/u7bvUBrdSG
Key Insights & Takeaways
She frequently collaborates with brands like Paddy Power through sponsored content. She promotes her golf career and upcoming tournaments, such as the US Open. She shares personal milestones, which helps build a more relatable and authentic image.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 57,065
- + 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 @CarlyBooth92 reveals an well-established Twitter presence with 57,065 followers. The account demonstrates a content-creator strategy, averaging 222.0 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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