Future
Coming home… 2xVCL👑 Contacto: [email protected]
109,439
Followers
995
Following
55,863
Tweets
152.6
Avg Engagement
167
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FTREFORMED'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:2013-11-12
- Verification:No
- Location:BAD INFLUENCE
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:138.8
- Avg Retweets per Tweet:13.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,192 tweetsThe account shows strong engagement with an average of 13,067 likes and 641 retweets per tweet. This indicates a loyal and active follower base that interacts regularly with their content.
138.8
Avg Likes/Tweet
13.8
Avg Retweets/Tweet
442,961
Total Likes
44,140
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
22
Median Likes
0
Median Retweets
79
75th Percentile
58,688
Top Tweet
1.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
33.6%
Original
56.5%
Replies
3.7%
Retweets
6.3%
Quotes
0.0%
Threads
0.0%
With Media
30.7%
With Links
2.1%
With #Tags
58.8%
With @Mentions
9.6%
With Emojis
93
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.68
Reply/Original Ratio
1.71
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.3%
Weekday Posts
30.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,192 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 117 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 3,192 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 followersFTREFORMED's audience appears to be engaged with their content, as evidenced by the high average likes and retweets. The mix of personal and public topics suggests a broad appeal.
Average
Audience Quality
27.5%
Suspicion Index
32.6%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.9%
Empty Bio
29.7%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
19.4%
<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.
9,584,951
Total Potential Reach
11
Median Follower Reach
61
75th Percentile Reach
3.3%
>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).
45.7%
Creators
4,574 accounts
24.6%
Consumers
2,457 accounts
29.7%
Dormant
2,969 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):
59
Verified Followers
0.59% of total
758
Protected Accounts
7.58% of total
3 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 |
|---|---|---|---|
| @illojuan | 1,618,635 | Content Creator | Gaming, Streaming, YouTube |
| @Karchezzz | 1,594,417 | YouTuber | Gaming, YouTube, Instagram |
| @gema327 | 615,249 | Content Creator | Physics, Sports, Content Creation |
| @mariaisabelrr9 | 396,875 | Locutora | Locutora, Actriz, Masi |
| @byAbeeL | 309,814 | Content Creator | Content creation, Tiger, Instagram |
| @Elmiillor | 299,576 | Twitch Streamer | Gaming, Twitch, Boxing |
| @TeamQuesoGG | 262,064 | Esports | Gaming, Esports, Competition |
| @conquerer1 | 236,359 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @MVG_Mew2King | 213,512 | Professional Gamer | Smash Bros, Gaming, Esports |
| @billkilgore_ | 212,622 | Fantasy Football Manager | Fantasy football, Selling players |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,415
Followers With Bio
4,585
Followers Without Bio
54.15%
% With Bio
45.85%
% 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 3,192 analyzed112,524
Combined Engagement
98,870
Total Likes
13,654
Total Retweets
22,505
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/rnhEK67SNg
https://t.co/flpzI6H2E3
Vaya drip lleva el Papa estoy flipando skficicks https://t.co/2NEjeTkhdj
RT @Polygon1993: 青眼の白龍■ https://t.co/WmXJ29oYw9 https://t.co/GV3t9klcWu
Por eso esperaba con la carita empapada… https://t.co/1AVgmmEHUz
Key Insights & Takeaways
The user frequently shares content that includes media links, suggesting a focus on visual or multimedia storytelling. Their tweets often reference personal experiences and public figures, indicating a blend of personal and public commentary. The use of informal language and slang suggests a casual and relatable tone aimed at a younger or more casual audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 109,439
- + High community engagement through conversations
- + 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 @FTREFORMED reveals an well-established Twitter presence with 109,439 followers. The account demonstrates a conversation-first approach, averaging 152.6 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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