Yura Yunita
#JalanPulang
246,565
Followers
813
Following
30,886
Tweets
1,413.0
Avg Engagement
86
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @yurayunita'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:2009-07-15
- Verification:No
- Location:Indonesia
Data Summary
- Tweets Analyzed:3,076
- Avg Likes per Tweet:1,056.5
- Avg Retweets per Tweet:356.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,076 tweetsYurayunita's tweets consistently receive high engagement, with an average of 73k likes and 20k retweets per post. This indicates a highly active and loyal fanbase.
1,056.5
Avg Likes/Tweet
356.5
Avg Retweets/Tweet
3,249,939
Total Likes
1,096,452
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
3
Median Retweets
67
75th Percentile
162,800
Top Tweet
5.73
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
51.6%
Original
16.0%
Replies
25.3%
Retweets
7.2%
Quotes
0.0%
Threads
1.0%
With Media
57.5%
With Links
27.2%
With #Tags
44.1%
With @Mentions
40.0%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,076 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 778 retweets (25% 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 3,076 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 followersHer audience primarily consists of young adults and teenagers who appreciate raw, authentic content. They are emotionally invested and often engage through likes and retweets.
Average
Audience Quality
33.4%
Suspicion Index
47.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.7%
Empty Bio
51.4%
<10 Tweets
1.1%
Mass Following (>2K)
0.0%
New (<90 days)
71.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
40.0%
<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.
14,244,317
Total Potential Reach
1
Median Follower Reach
11
75th Percentile Reach
1.3%
>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).
30.2%
Creators
15,083 accounts
18.4%
Consumers
9,216 accounts
51.4%
Dormant
25,701 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):
31
Verified Followers
0.03% of total
25,855
Protected Accounts
25.6% 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 |
|---|---|---|---|
| @mynameisrossa | 4,189,399 | Singer | Singer, Brand Ambassador, Indonesia |
| @nksthi | 2,003,518 | Comedian | Sambat, Manusia, Informasi |
| @therealDiSastr | 1,111,987 | Actor | actor, activist, speaker |
| @sintakayaknyaa | 760,049 | Content Creator | Traveler, Foodie, Blogger |
| @indralesmana | 726,534 | Musician | Music, Jazz, Collaboration |
| @alvinadam | 714,352 | Entrepreneur | Entrepreneur, MC, Coach |
| @riyansupyans | 685,331 | - | - |
| @AlissaWahid | 510,520 | Psychologist | Psikolog, Humanitarian, Penjahit |
| @MelindaAghnia | 388,408 | Influencer | beauty, brand ambassador, novel |
| @sephiaazzahran | 386,772 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,550
Followers With Bio
51,439
Followers Without Bio
49.06%
% With Bio
50.94%
% 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 3,076 analyzed626,790
Combined Engagement
361,865
Total Likes
264,925
Total Retweets
125,358
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
RT @belugasong: WHAT TO DO IN A CROWD CRUSH - an informational thread in light of the Itaewon-don Seoul tragedy Even if you think this wil…
Lucu 😭 https://t.co/gyUlV68pK4
Pengen nangis
Akan kuhadapi semuanya walau penuh dengan plot twist 💪
Sejauh mana kamu mencari, ga harus ada jawabannya sekarang. Sabar, mungkin akan ada saat kamu sudah siap.
Key Insights & Takeaways
Her content often revolves around personal emotions and challenges, which creates a deep connection with followers. She uses emojis and casual language to make her tweets more relatable and engaging. Her top tweets highlight themes of sadness, resilience, and emotional vulnerability, which are key to her audience's engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 246,565
- + 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 @yurayunita reveals an exceptionally influential Twitter presence with 246,565 followers. The account demonstrates a content-creator strategy, averaging 1,413.0 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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