118,570
Followers
612
Following
47,275
Tweets
159.8
Avg Engagement
168
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tiarbah'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:2011-01-01
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,212
- Avg Likes per Tweet:121.0
- Avg Retweets per Tweet:38.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,212 tweetsThe account has a strong engagement rate with an average of 20,532 likes and 3,907 retweets per tweet. This suggests a highly interactive and supportive community.
121.0
Avg Likes/Tweet
38.8
Avg Retweets/Tweet
388,616
Total Likes
124,610
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
11
75th Percentile
57,002
Top Tweet
1.35
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
12.9%
Original
77.6%
Replies
1.9%
Retweets
7.6%
Quotes
0.0%
Threads
0.0%
With Media
24.1%
With Links
1.8%
With #Tags
75.8%
With @Mentions
11.9%
With Emojis
79
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.02
Reply/Original Ratio
3.94
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.7%
Weekday Posts
23.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,212 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 62 retweets (2% 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 3,212 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 lifestyle, cooking, and personal achievements. They engage actively with likes and retweets, showing interest in relatable and informative content.
Average
Audience Quality
25.3%
Suspicion Index
29.1%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.1%
Empty Bio
30.7%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
61.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
23.1%
<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.
5,256,671
Total Potential Reach
13
Median Follower Reach
121
75th Percentile Reach
3.7%
>1K followers
0.4%
>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).
53.8%
Creators
5,384 accounts
15.4%
Consumers
1,544 accounts
30.7%
Dormant
3,072 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):
17
Verified Followers
0.17% of total
2,019
Protected Accounts
20.19% of total
4 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 |
|---|---|---|---|
| @FloydShivambu | 1,400,727 | Politician | Dialectical Materialism, Labour Theory of Value, Revolution |
| @fahiraidris | 676,303 | Politician | Politics, Anti-alcohol, Leadership |
| @jiemiardian | 319,668 | Psychiatrist | Psychiatrist, Mindfulness, Advisor |
| @txtdrlinkediin | 150,159 | Social Media Influencer | Screenshot, Keresahan, DM |
| @tang__kira | 106,941 | Content Creator | variety, drama, issue |
| @beritastenggara | 104,098 | - | - |
| @Visiongeo | 89,166 | Philanthropist | NGO funding, Philanthropy, Travel |
| @0tk0il | 79,318 | Musician | - |
| @justsilly | 65,047 | Philanthropist | Autism, Foundation, Blood Donation |
| @Cilorconnoistre | 60,849 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,491
Followers With Bio
3,509
Followers Without Bio
64.91%
% With Bio
35.09%
% 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 3,212 analyzed185,329
Combined Engagement
127,661
Total Likes
57,668
Total Retweets
37,066
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Review jujur https://t.co/GDofu8H9lL
RT @ProgressBar202_: 2022 is 99% complete. https://t.co/9J42RBVcYY
Baru ngalamin dapet orderan nasgor pake format excel 😂🙌🏻 https://t.co/kd9Q1sqXJq
Penjelasan singkat buat yg belum tau perbedaan udang dan udang. Udang memiliki cakar pada 2 pasang kakinya, sementara udang memiliki cakar pada 3 pasang kakinya. https://t.co/jdtyY9I4zN
Sore ini nyobain bikin minyak kelapa. Dari 5 buah kelapa tua, dapetnya hampir 400 ml minyak siap pakai. Wangi banget, bakalan cocok dipake numis2 sama bikin ceplok telor. https://t.co/jeoL4UqZlM
Key Insights & Takeaways
The user frequently shares personal experiences and achievements, which likely drive engagement. They often include links to external content, indicating a mix of personal and shared information. Their content is relatable and practical, focusing on everyday life and cooking tips.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 118,570
- + 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 @tiarbah reveals an well-established Twitter presence with 118,570 followers. The account demonstrates a conversation-first approach, averaging 159.8 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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