Desy Genoveva
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391,843
Followers
344
Following
23,305
Tweets
679.3
Avg Engagement
1,152
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @desygenoveva_'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:2014-03-19
- Verification:No
- Location:desyni
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:642.9
- Avg Retweets per Tweet:36.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction and interest in the content.
642.9
Avg Likes/Tweet
36.4
Avg Retweets/Tweet
2,089,555
Total Likes
118,315
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
587
Median Likes
11
Median Retweets
931
75th Percentile
23,654
Top Tweet
1.73
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
52.2%
Original
44.0%
Replies
1.5%
Retweets
2.3%
Quotes
0.0%
Threads
0.3%
With Media
23.0%
With Links
3.2%
With #Tags
46.9%
With @Mentions
19.2%
With Emojis
54
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.84
Reply/Original Ratio
1.58
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.9%
Weekday Posts
30.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 48 retweets (1% 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 3,250 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 diverse, with a focus on casual and friendly interactions. The content appeals to a broad demographic, including those interested in daily life and celebrations.
Average
Audience Quality
34.7%
Suspicion Index
41.0%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.9%
Empty Bio
53.0%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
82.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
38.2%
<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.
11,919,367
Total Potential Reach
2
Median Follower Reach
11
75th Percentile Reach
0.8%
>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).
26.1%
Creators
13,032 accounts
21.0%
Consumers
10,480 accounts
53.0%
Dormant
26,488 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):
50
Verified Followers
0.05% of total
9,388
Protected Accounts
9.3% 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 |
|---|---|---|---|
| @ernestprakasa | 2,461,039 | - | - |
| @SinghLions | 1,334,754 | Restaurateur | Food, Travel, Influencer |
| @Yukiriiiin__K | 1,306,766 | Entertainer | TV, Radio, YouTube |
| @shitlicious | 1,093,388 | Content Creator | SHITLICIOUS, SKRIPSHIT, RELATIONSHIT |
| @miyukiofficial9 | 701,974 | Entertainer | Dance, Fashion, Skincare |
| @yourbae | 652,836 | Influencer | Fashion, Beauty, Lifestyle |
| @HaiMagazine | 547,874 | Media | Vaksin, Media remaja, Business |
| @pantungalimar | 461,037 | Editor | Editor, Business, Gal |
| @racheltjhia | 450,619 | Entrepreneur | Fashion, Travel, Lifestyle |
| @ficofachriza_ | 422,054 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,813
Followers With Bio
35,179
Followers Without Bio
65.17%
% With Bio
34.83%
% 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 3,250 analyzed62,858
Combined Engagement
24,787
Total Likes
38,071
Total Retweets
12,572
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @Olympics: This is what it means to win Olympic gold for #INA! 🎉 https://t.co/cZxhjgFV6U
RT @ernestprakasa: Tanah NTT dilanda banjir bandang. Kupang, Flores, Sumba semuanya kena. Udahan dulu yuk bahas kawinannya, ini lagi ada be…
Pagi https://t.co/3O36ginyHw
Selamat hari raya Idul Fitri 1442H bagi yang merayakan.. 🙏🙏 salam toleransi 🙏😇 https://t.co/K9xQYJv4LB
Malam mingguku 🫶 https://t.co/wqQZShhtbM
Key Insights & Takeaways
The user frequently shares personal and casual content, which likely contributes to their high engagement. They often include links to media, suggesting a preference for visual or multimedia content. The use of emojis and informal language helps create a warm and approachable online persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 391,843
- + 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 @desygenoveva_ reveals an well-established Twitter presence with 391,843 followers. The account demonstrates a content-creator strategy, averaging 679.3 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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