Ayana Shahab
ig : ayanashahab youtube : ayana shahab
750,451
Followers
152
Following
29,679
Tweets
639.7
Avg Engagement
86,761
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ayanashb0306'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:2011-12-09
- Verification:No
- Location:Jakarta
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:552.8
- Avg Retweets per Tweet:86.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsThe account consistently receives a high number of likes and retweets, indicating a loyal and interactive follower base. The content is well-received and often shared.
552.8
Avg Likes/Tweet
86.8
Avg Retweets/Tweet
1,795,094
Total Likes
281,891
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
513
Median Likes
46
Median Retweets
736
75th Percentile
26,002
Top Tweet
0.85
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
64.5%
Original
22.6%
Replies
9.9%
Retweets
2.9%
Quotes
0.0%
Threads
0.2%
With Media
21.3%
With Links
6.6%
With #Tags
34.8%
With @Mentions
22.6%
With Emojis
105
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.1%
Weekday Posts
31.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 323 retweets (10% 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 3,247 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 followersThe audience appears to be young and interested in entertainment, humor, and social media influencers. They are likely active on platforms like Instagram and YouTube.
Average
Audience Quality
33.9%
Suspicion Index
35.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.2%
Empty Bio
55.8%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
81.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.3%
No URL
39.3%
<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.
4,548,185
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
0.7%
>1K followers
0.1%
>10K followers
0.0%
>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).
22.8%
Creators
11,397 accounts
21.4%
Consumers
10,680 accounts
55.8%
Dormant
27,923 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):
37
Verified Followers
0.04% of total
8,362
Protected Accounts
8.28% 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 |
|---|---|---|---|
| @nksthi | 2,001,998 | Comedian | Sambat, Manusia, Informasi |
| @imamdarto | 489,688 | Comedian | Comedy, Podcasting, Entertainment |
| @racheltjhia | 449,871 | Entrepreneur | Fashion, Travel, Lifestyle |
| @A_ZeeJKT48 | 443,762 | - | - |
| @Dylan_Bostic | 349,523 | Wrestler | Pro Wrestling, Boxing, Acting |
| @A_ChristyJKT48 | 281,447 | Singer | JKT48, Tata, Singing |
| @Y_ChikaJKT48 | 271,915 | - | - |
| @A_FionyJKT48 | 221,370 | Singer | Music, Symphony, Harmony |
| @S_AshelJKT48 | 214,494 | Singer | JKT48, 9th Generation, Music |
| @R_AdelJKT48 | 211,775 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,789
Followers With Bio
35,210
Followers Without Bio
65.14%
% With Bio
34.86%
% 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 3,247 analyzed49,946
Combined Engagement
8,826
Total Likes
41,120
Total Retweets
9,989
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @Brink_Thinker: Say one word about this video https://t.co/8jxViek2ee
RT @clickofficialid: Click x NCT 127! #FeeltheDifference with 7 Dental Solutions & Lively Flavors! #ClickxNCT127
RT @9GAG: Reach for the sky🐕🌸 📸 @nanakuriinemaru https://t.co/hNBFT8dsyX
Arab jepanh menang hahahha Keren banget negara ku ini wkwkwk
selamat malam.. good night^^ aku bukan kesel atau apa cuma mau ngomong aja kok^^ https://t.co/4XGMYbrBQc
Key Insights & Takeaways
The user frequently uses humor and memes to engage their audience They share personal thoughts and feelings in a casual tone They promote their other social media platforms regularly
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 750,451
- + 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 @ayanashb0306 reveals an well-established Twitter presence with 750,451 followers. The account demonstrates a content-creator strategy, averaging 639.7 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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