BIA
We don’t give money back
363,432
Followers
933
Following
10,655
Tweets
1,064.4
Avg Engagement
346
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BIABIA'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:2010-02-06
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,209
- Avg Likes per Tweet:710.7
- Avg Retweets per Tweet:353.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,209 tweetsTheir tweets receive high average likes and retweets, indicating strong audience interaction and interest.
710.7
Avg Likes/Tweet
353.7
Avg Retweets/Tweet
2,280,609
Total Likes
1,134,912
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
14
Median Retweets
661
75th Percentile
166,286
Top Tweet
2.93
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
30.4%
Original
36.5%
Replies
29.1%
Retweets
4.1%
Quotes
0.0%
Threads
0.2%
With Media
26.3%
With Links
8.9%
With #Tags
68.5%
With @Mentions
42.6%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.2
Reply/Original Ratio
0.14
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 3,209 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 933 retweets (29% 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 3,209 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 followersTheir audience appears to be fans and followers who engage with personal updates and emotional content.
Below Average
Audience Quality
35.9%
Suspicion Index
47.8%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.1%
Empty Bio
51.9%
<10 Tweets
9.7%
Mass Following (>2K)
0.0%
New (<90 days)
71.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
38.6%
<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.
22,108,452
Total Potential Reach
11
Median Follower Reach
62
75th Percentile Reach
2.5%
>1K followers
0.4%
>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).
26.0%
Creators
12,999 accounts
22.1%
Consumers
11,038 accounts
51.9%
Dormant
25,963 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):
522
Verified Followers
0.52% of total
9,325
Protected Accounts
9.23% of total
2 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 |
|---|---|---|---|
| @souljaboy | 5,489,055 | Entrepreneur | Gaming, Lean, Music |
| @SinghLions | 1,334,655 | Restaurateur | Food, Travel, Influencer |
| @VH1 | 1,193,597 | Entertainment | Reality TV, Hip Hop, Cartel |
| @romi_chase | 1,107,772 | Model | BBW, Content Creator, Plus Size |
| @WhatsTrending | 890,224 | News Outlet | DAILY, SOCIAL, NEWS |
| @solalexasch | 678,856 | Musician | Music, Travel, Tattoos |
| @CubanDaSavage | 620,699 | - | - |
| @Azzyoficixl | 494,347 | Entrepreneur | Mother, Entrepreneur, Singer |
| @holyslutsx | 456,196 | Adult Entertainer | parody, barely legal, uncensored content |
| @vlptuouz | 413,227 | Influencer | Face, Ass, NFTs |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,852
Followers With Bio
55,146
Followers Without Bio
45.4%
% With Bio
54.6%
% 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 3,209 analyzed439,493
Combined Engagement
85,188
Total Likes
354,305
Total Retweets
87,899
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @NipseyHussle: Having strong enemies is a blessing.
RT @rihanna: how the gang pulled up to black history month https://t.co/gprFgyP3Xm
If I’m lacking in anything and you love me, teach me
OMFG RIHANNA IS WITH CHILD IM GOING TO BE AN AUNT THANK U GOD 😫🥺🥺😭😭🥳🙏🏾🙌🏾 Congrats sis I’m soooo happy!!!!! https://t.co/rvw4RqUblc
RT @lildurk: Real love is real rare
Key Insights & Takeaways
Their top tweet highlights a personal milestone and emotional expression, indicating a focus on personal joy and connection. They use hashtags and emojis to enhance engagement and emotional appeal. Their content often includes personal updates and calls for support or interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 363,432
- + 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 @BIABIA reveals an exceptionally influential Twitter presence with 363,432 followers. The account demonstrates a conversation-first approach, averaging 1,064.4 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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