The Cybersmile Foundation
Anti-cyberbullying nonprofit promoting kindness, equality & inclusion. Here we have fun with humor & inspiration - for help & support visit our website.
1.225.722
Followers
18.818
Following
46.251
Tweets
1.182,5
Avg Engagement
695
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CybersmileHQ'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: Mega Influencer (1M+)
- Account Age:2012-02-09
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:1.012,5
- Avg Retweets per Tweet:170,0
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.250 tweetsCybersmileHQ achieves high engagement with an average of 139,435 likes and 24,062 retweets per tweet, indicating strong audience interaction and trust.
1.012,5
Avg Likes/Tweet
170,0
Avg Retweets/Tweet
3.290.619
Total Likes
552.487
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
106
Median Likes
25
Median Retweets
273
75th Percentile
340.535
Top Tweet
0,96
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
60,9%
Original
35,7%
Replies
2,8%
Retweets
0,6%
Quotes
0,0%
Threads
0,2%
With Media
62,3%
With Links
1,6%
With #Tags
38,6%
With @Mentions
30,6%
With Emojis
57
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,59
Reply/Original Ratio
0,21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74,2%
Weekday Posts
25,8%
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 92 retweets (3% 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 primary audience includes young people, especially those affected by cyberbullying, as well as educators and parents seeking support and resources.
Average
Audience Quality
27,1%
Suspicion Index
35,2%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47,8%
Empty Bio
36,7%
<10 Tweets
5,7%
Mass Following (>2K)
0,0%
New (<90 days)
56,3%
Low Ratio (<0.1)
0,0%
New (<180 days)
93,5%
No URL
22,5%
<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.
14.167.212
Total Potential Reach
15
Median Follower Reach
76
75th Percentile Reach
2,8%
>1K followers
0,3%
>10K followers
0,1%
>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).
35,8%
Creators
17.895 accounts
27,5%
Consumers
13.760 accounts
36,7%
Dormant
18.345 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):
186
Verified Followers
0.18% of total
10.793
Protected Accounts
10.69% 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 |
|---|---|---|---|
| @VLADDO | 1.372.894 | Multifacético | Actualidad, columnista, caricaturista |
| @VladoGeorgiev | 704.115 | Musician | Music, Composer, Producer |
| @gonca_vuslateri | 704.054 | Actress | Acting, Writing, Singing |
| @MaizaHameedMNA | 691.317 | Politician | Youth, Women Leadership, Minorities |
| @kiara_true | 614.799 | Multifaceted | Singer, Actress, Lawyer |
| @BMarmoldeLeon | 537.188 | Abogada | Law, Justice, Magistracy |
| @GeorgiKose | 483.916 | Influencer | NFTs, Bitcoin, ETH |
| @yo_soy_veronica | 416.449 | Entertainment | Modeling, Singing, Hosting |
| @sumtong123 | 186.324 | Food Blogger | Food, Travel, Music |
| @austinwolfxx | 183.088 | Adult entertainer | Fan club, Spanish, Austin Wolf |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53.421
Followers With Bio
47.578
Followers Without Bio
52.89%
% With Bio
47.11%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.250 analyzed1.169.853
Combined Engagement
987.838
Total Likes
182.015
Total Retweets
233.971
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Note to self… https://t.co/Oaq2u02qnQ
You’ll figure it out just like you always do… https://t.co/5yhpwdwkBJ
Note to self… https://t.co/ks0d6Kcf2f
There is love and beauty everywhere, we just need to look for it. https://t.co/zN3Ap6PJ4e
O.M.G https://t.co/Mng2K605BK
Key Insights & Takeaways
The account uses relatable and personal content, such as 'Note to self' tweets, to connect with followers. It emphasizes humor and inspiration to maintain a positive and engaging tone. The use of verified links suggests a focus on providing real support and resources to those in need.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1.225.722
- + 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 @CybersmileHQ reveals an exceptionally influential Twitter presence with 1.225.722 followers. The account demonstrates a content-creator strategy, averaging 1.182,5 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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