LIL FLAME
5x Platinum - Are You In The Mafia?
73,417
Followers
660
Following
38,648
Tweets
153.0
Avg Engagement
94
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TarentinoBIA'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:2009-06-22
- Verification:No
- Location:Atlanta, GA
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:17.9
- Avg Retweets per Tweet:135.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,242 tweetsTheir tweets often receive high engagement, with an average of 2,941 likes and 70 retweets, suggesting a strong and active community.
17.9
Avg Likes/Tweet
135.1
Avg Retweets/Tweet
58,045
Total Likes
437,839
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
13
75th Percentile
42,261
Top Tweet
2.08
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
43.1%
Original
35.2%
Replies
4.9%
Retweets
16.7%
Quotes
0.0%
Threads
0.1%
With Media
24.0%
With Links
2.5%
With #Tags
43.1%
With @Mentions
29.9%
With Emojis
56
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.82
Reply/Original Ratio
3.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 160 retweets (5% 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 3,242 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 followersThe audience appears to be interested in pop culture, politics, and online debates, with a focus on public figures and controversial topics.
Good
Audience Quality
18.4%
Suspicion Index
17.6%
Low-Quality %
63
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.1%
Empty Bio
19.6%
<10 Tweets
13.2%
Mass Following (>2K)
0.0%
New (<90 days)
38.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
66.8%
No URL
11.0%
<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.
34,079,509
Total Potential Reach
63
Median Follower Reach
250
75th Percentile Reach
8.0%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.3%
Creators
5,634 accounts
24.0%
Consumers
2,403 accounts
19.6%
Dormant
1,963 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):
119
Verified Followers
1.19% of total
883
Protected Accounts
8.83% of total
6 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 | 14,096,856 | Wrestler | Wrestling, Motivation, Self-promotion |
| @lilyachty | 5,397,518 | Rapper | Music, Fashion, Lifestyle |
| @KameronBennett | 1,814,191 | DJ | Music, DJing, Booking |
| @jermainedupri | 1,095,421 | Music Producer | Music, Entrepreneurship, Veganism |
| @IamMzilikazi | 553,040 | Musician | Pan-African music, Album, Rise |
| @BreadBoi | 510,014 | Music Producer | Music, Bully, Rap |
| @aliciagrimes71 | 495,048 | Influencer | Youtube influencers, Music, Magazine |
| @LiveMixtapes | 431,687 | Music Platform | hip-hop, mixtapes, music |
| @iamprincekash | 407,666 | - | - |
| @_CULLI_ | 375,143 | Influencer | Love, Loyalty, Official Email |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,588
Followers With Bio
2,412
Followers Without Bio
75.88%
% With Bio
24.12%
% 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 3,242 analyzed191,074
Combined Engagement
0
Total Likes
191,074
Total Retweets
38,215
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @wizkhalifa: Its ok to do exactly what the fuck you want
RT @__BRAT_: I love the way black ppl hype shit up 🤣 https://t.co/h2nJg70JZ9
RT @ESPNNBA: THIS PHOTO. HISTORY. https://t.co/qirvlCifG5
RT @RexChapman: Disaster avoided. Smoothly... https://t.co/mIPJjmTtgy
RT @espn: 13-year-old Zaila Avant-garde of Louisiana is your 93rd Scripps National #SpellingBee champion ‼️ The first African-American winner of the competition 👏 https://t.co/y2Y5dAGcVN
Key Insights & Takeaways
The user frequently interacts with other notable accounts, indicating a strategic approach to engagement. They often use provocative or controversial language, which may drive higher interaction rates. Their content is likely designed to spark debate and discussion among followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 73,417
- + 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 @TarentinoBIA reveals an well-established Twitter presence with 73,417 followers. The account demonstrates a content-creator strategy, averaging 153.0 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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