aisha
🇵🇭🇺🇸 | Character Designer & Art Student 💌 : [email protected]
85,146
Followers
779
Following
12,340
Tweets
3,928.8
Avg Engagement
128
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @arbacn'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:2017-02-11
- Verification:No
- Location:she/her 🌟 21
Data Summary
- Tweets Analyzed:3,102
- Avg Likes per Tweet:601.0
- Avg Retweets per Tweet:3,327.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,102 tweetsHer tweets receive significant likes and retweets, indicating a highly engaged and supportive community.
601.0
Avg Likes/Tweet
3,327.7
Avg Retweets/Tweet
1,864,457
Total Likes
10,322,547
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
12
Median Retweets
1,309
75th Percentile
1,935,869
Top Tweet
46.14
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
27.9%
Original
34.5%
Replies
31.5%
Retweets
6.2%
Quotes
0.0%
Threads
0.3%
With Media
46.8%
With Links
8.1%
With #Tags
63.9%
With @Mentions
9.2%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.24
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,102 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 976 retweets (31% 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 3,102 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 followersHer audience appears to be young adults and teens interested in art, personal experiences, and relatable content.
Good
Audience Quality
18.1%
Suspicion Index
18.9%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.1%
Empty Bio
18.8%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
49.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.9%
No URL
12.6%
<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.
3,740,916
Total Potential Reach
21
Median Follower Reach
87
75th Percentile Reach
2.7%
>1K followers
0.3%
>10K followers
0.1%
>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).
63.0%
Creators
6,302 accounts
18.2%
Consumers
1,817 accounts
18.8%
Dormant
1,881 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):
4
Verified Followers
0.04% of total
2,271
Protected Accounts
22.71% 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 |
|---|---|---|---|
| @ConnorEatsPants | 992,398 | Gamer | games, funny, internet |
| @Krinios | 278,921 | Content Creator | blue, cyclops, media |
| @Hooverr | 189,298 | Social Media Manager | Travel, Food, Adventure |
| @kalynnkoury | 160,251 | Musician | music, fashion, travel |
| @andygrammer | 143,446 | Musician | - |
| @24framesofnick | 113,996 | - | - |
| @caitibugzz | 107,512 | - | - |
| @Joutenfrmdc | 54,093 | Doctor | Music, Fashion, Travel |
| @cwgl418 | 51,788 | Color Designer | Color Design, AroAce, East Asian |
| @ohmygoditguppy | 42,841 | Artist | Drawing, Animals, Autism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,487
Followers With Bio
2,513
Followers Without Bio
74.87%
% With Bio
25.13%
% 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 3,102 analyzed2,872,878
Combined Engagement
124,032
Total Likes
2,748,846
Total Retweets
574,576
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @baileyiriss: if ur not livid ur on the wrong side https://t.co/svv8Uhu01Y
RT @tori_the1: I'm reposting this video every time I see it b/c you can see how kind his spirit was and his life didn't deserve to be taken away from him https://t.co/xq9erpnYiG
RT @Jeopardy: Jeopardy! is saddened to share that Alex Trebek passed away peacefully at home early this morning, surrounded by family and friends. Thank you, Alex. https://t.co/Yk2a90CHIM
I’m so jealous of this moment. when I got my first period, my mom didn’t explain anything to me she just gave me a pad and sent me to ballet rehearsals https://t.co/MNCnpqE2vJ
Key Insights & Takeaways
Aishara's personal stories resonate deeply with her audience, creating emotional connections. Her content often blends vulnerability with creativity, which enhances engagement. She effectively uses personal experiences to connect with her followers on a more intimate level.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 85,146
- + 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 @arbacn reveals an exceptionally influential Twitter presence with 85,146 followers. The account demonstrates a conversation-first approach, averaging 3,928.8 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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