59,846
Followers
37,542
Following
19,474
Tweets
5.6
Avg Engagement
1,116
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fab__12'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:2010-09-09
- Verification:No
- Location:The Internet
Data Summary
- Tweets Analyzed:3,187
- Avg Likes per Tweet:2.5
- Avg Retweets per Tweet:3.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,187 tweetsThe account shows consistent engagement with its followers, though the average likes and retweets are relatively low compared to the follower count. The engagement seems to be driven by promotional content and event announcements.
2.5
Avg Likes/Tweet
3.1
Avg Retweets/Tweet
7,904
Total Likes
9,952
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
3
75th Percentile
3,096
Top Tweet
0.09
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
74.4%
Original
15.6%
Replies
7.8%
Retweets
2.2%
Quotes
0.0%
Threads
0.5%
With Media
83.4%
With Links
24.5%
With #Tags
36.5%
With @Mentions
13.4%
With Emojis
115
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.3%
Weekday Posts
14.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,187 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 247 retweets (8% 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 3,187 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 9,998 followersThe audience likely includes fans of TV shows like The X-Files and movies like Pitch Perfect. They are interested in entertainment news, promotions, and social media interactions.
Average
Audience Quality
21.0%
Suspicion Index
24.3%
Low-Quality %
102
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.0%
Empty Bio
18.4%
<10 Tweets
22.6%
Mass Following (>2K)
0.0%
New (<90 days)
32.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
64.7%
No URL
11.7%
<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.
44,169,919
Total Potential Reach
102
Median Follower Reach
391
75th Percentile Reach
11.5%
>1K followers
2.3%
>10K followers
0.8%
>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).
63.0%
Creators
6,294 accounts
18.6%
Consumers
1,863 accounts
18.4%
Dormant
1,841 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):
57
Verified Followers
0.57% of total
917
Protected Accounts
9.17% of total
9 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 | 14,075,175 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LalitKModi | 3,815,446 | Sports Entrepreneur | Cricket, Business, Entrepreneurship |
| @iHeartRadio | 2,016,783 | Media | Music, Stations, Podcasts |
| @6BillionPeople | 2,014,011 | - | - |
| @nicekicks | 1,510,174 | Sneakerhead | Sneakers, Culture, Community |
| @BravoTV | 1,314,338 | Entertainment | Reality TV, Bravo shows, Bravo fans |
| @larrykim | 725,273 | Entrepreneur | Startups, AdWords, Chatbots |
| @polyvore | 606,848 | Fashion influencer | Fashion, Style, Creativity |
| @RCCGworldwide | 591,296 | Minister | Evangelism, Discipleship, Prayers |
| @JonathanPieNews | 547,964 | News Reporter | News, Reporter, Satire |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,298
Followers With Bio
3,702
Followers Without Bio
62.98%
% With Bio
37.02%
% 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 3,187 analyzed8,963
Combined Engagement
2,106
Total Likes
6,857
Total Retweets
1,793
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/iwEzXm50FH
RT @RuPaul: 💜 #PulseNightclub #OrlandoUnitedDay https://t.co/OxTkoFETGD
RT @broadcity: news that's not a national nightmare-- we started shooting a very elegant season 4!! 😘 https://t.co/VmX6dpqQ6u
RT @broadcity: cc @YourDailyAction @Countable @PPact @ACLU @pressfreedom @HRC @ourfirst100day @splcenter @TransLawCenter @UNITEDWEDREAM @jenstatsky https://t.co/M4eUEitx5p
RT @broadcity: #PRIDE 🌈🗽🏳️🌈 https://t.co/oc6D3l9mD1
Key Insights & Takeaways
The account frequently promotes TV shows and movies, indicating a focus on entertainment content. It uses hashtags and links to drive traffic to external platforms like Facebook and Instagram. The account has a verified status of 0.6%, suggesting it may be a brand or official account.
Strengths
- + Established follower base of 59,846
- + 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 @fab__12 reveals an growing Twitter presence with 59,846 followers. The account demonstrates a content-creator strategy, averaging 5.6 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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