Carlton FC
Home of the 'Baggers. AFLW over here ➡️ @carltonfc_w
126.815
Followers
31.264
Following
56.137
Tweets
163,2
Avg Engagement
897
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CarltonFC'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:2009-03-19
- Verification:No
- Location:IKON Park
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:156,2
- Avg Retweets per Tweet:7,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.250 tweetsThe account maintains a steady average of likes and retweets, indicating consistent interaction with its audience.
156,2
Avg Likes/Tweet
7,1
Avg Retweets/Tweet
507.618
Total Likes
22.929
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
97
Median Likes
4
Median Retweets
197
75th Percentile
2.579
Top Tweet
1,29
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
82,7%
Original
8,7%
Replies
4,5%
Retweets
4,1%
Quotes
0,0%
Threads
1,1%
With Media
42,7%
With Links
28,8%
With #Tags
13,4%
With @Mentions
36,8%
With Emojis
111
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,11
Reply/Original Ratio
0,92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67,6%
Weekday Posts
32,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.250 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 145 retweets (4% 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 3.250 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 followersThe audience primarily consists of football fans, especially those interested in the AFLW and Carlton FC players.
Below Average
Audience Quality
35,1%
Suspicion Index
51,0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58,9%
Empty Bio
55,6%
<10 Tweets
4,5%
Mass Following (>2K)
0,0%
New (<90 days)
67,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,4%
No URL
43,1%
<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.
29.955.222
Total Potential Reach
4
Median Follower Reach
29
75th Percentile Reach
2,6%
>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).
24,9%
Creators
12.455 accounts
19,5%
Consumers
9.734 accounts
55,6%
Dormant
27.811 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):
148
Verified Followers
0.15% of total
6.624
Protected Accounts
6.56% 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 |
|---|---|---|---|
| @JohnCena | 14.101.212 | Wrestler | Wrestling, Motivation, Self-promotion |
| @benlandis | 2.846.725 | - | - |
| @alispagnola | 2.347.846 | Musician | Music, Comedy, Fitness |
| @MichaelVaughan | 1.561.782 | Model | Cricket, Fashion, Business |
| @SinghLions | 1.333.536 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1.317.932 | Journalist | working, mom, journalist |
| @LILBTHEBASEDGOD | 1.247.131 | Rapper | Music, Writing, Film |
| @LeBronJames | 1.010.294 | - | - |
| @danielsahyounie | 971.704 | Entertainer | comedy, music, social media |
| @GettySport | 881.935 | Photographer | sports, photography, news |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38.926
Followers With Bio
62.070
Followers Without Bio
38.54%
% With Bio
61.46%
% 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 3.250 analyzed10.601
Combined Engagement
9.905
Total Likes
696
Total Retweets
2.120
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Heartbroken
Deacon. James. Collis. Williams. Judd. Patrick Cripps. #Brownlow https://t.co/nWvuBEdghE
Everyone right to go?
Simply the best news. Sam and Nat Docherty, we're so happy for you both 💙 https://t.co/VURn1vNYVR
𝐀𝐧𝐠𝐞 𝐏𝐨𝐬𝐭𝐞𝐜𝐨𝐠𝐥𝐨𝐮 𝐨𝐥𝐞. A true Blue doing incredible things with the Bhoys. 🤝 @CelticFC https://t.co/TUotJ6lZKP
Key Insights & Takeaways
The account frequently highlights player achievements and milestones, such as Brownlow Medal mentions. It celebrates player milestones and personal achievements, like the Docherty siblings' success. The use of hashtags and links suggests a strategy to drive traffic and engagement through specific content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 126.815
- + 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 @CarltonFC reveals an well-established Twitter presence with 126.815 followers. The account demonstrates a content-creator strategy, averaging 163,2 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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