Quackity 🪷
hi . alt: @quackity4k spanish account: @elalexquackity
5,825,572
Followers
891
Following
7,479
Tweets
43,947.3
Avg Engagement
6,360
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Quackity'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:2013-12-24
- Verification:No
- Location:bis: [email protected]
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:43,273.8
- Avg Retweets per Tweet:673.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsQuackity's tweets consistently receive high likes and retweets, indicating strong audience interaction. Their content is well-received and often goes viral, contributing to their large following.
43,273.8
Avg Likes/Tweet
673.5
Avg Retweets/Tweet
140,466,876
Total Likes
2,186,052
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
30,318
Median Likes
299
Median Retweets
60,151
75th Percentile
602,700
Top Tweet
7.54
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
2.2%
Original
97.8%
Replies
0.1%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
12.9%
With Links
0.2%
With #Tags
97.7%
With @Mentions
16.6%
With Emojis
55
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
44.69
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 2 retweets (0% 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 3,246 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 followersQuackity's audience includes gaming enthusiasts, meme lovers, and fans of Spanish content. Their bilingual approach helps them reach both English and Spanish-speaking communities.
Below Average
Audience Quality
42.8%
Suspicion Index
64.6%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.8%
Empty Bio
75.7%
<10 Tweets
0.3%
Mass Following (>2K)
0.0%
New (<90 days)
84.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
65.3%
<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.
6,777,313
Total Potential Reach
0
Median Follower Reach
2
75th Percentile Reach
0.5%
>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).
12.2%
Creators
6,092 accounts
12.1%
Consumers
6,051 accounts
75.7%
Dormant
37,857 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):
69
Verified Followers
0.07% of total
15,742
Protected Accounts
15.59% of total
1 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 |
|---|---|---|---|
| @SoyFedelobo | 3,273,105 | Content Creator | Movies, Video Games, Streaming |
| @ElinaGiveaway | 734,022 | - | - |
| @raycondones | 586,062 | Email Marketing | Email Marketing, Digital Strategy, Content Creation |
| @byAbeeL | 311,636 | Content Creator | Content creation, Tiger, Instagram |
| @joe_hattab | 194,616 | Travel Filmmaker | Travel, Filmmaker, World |
| @QsmpES | 188,897 | Psychologist | Psychology, Updates, Mexico |
| @BaboAbe | 185,890 | Business Manager | Business, Social Media, Gaming |
| @GoDeiK | 173,524 | YouTuber | YouTuber, Instagram, Business |
| @Marykate_Moss | 154,518 | Adult entertainer | Hustler, Covergirl, December |
| @QsmpEN | 141,322 | Updates | Updates, ESP, QSMP |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,475
Followers With Bio
64,515
Followers Without Bio
36.12%
% With Bio
63.88%
% 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 3,246 analyzed2,202,363
Combined Engagement
2,032,796
Total Likes
169,567
Total Retweets
440,473
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
I had the opportunity to express to Technoblade how much admiration and respect I had for him, not only for the massive impact he had on all of us, but also for keeping his incredible humor even in the darkest moments. I will miss him so much. Rest In Peace ❤️
icarly without the car
WELCOME TO THE QSMP https://t.co/gyDtkPhS34
WE DID IT WE WON MCC!!! YESSSSSS https://t.co/Uzd5TDhSrE
OH MY GOD TWITTER VERIFIED ME I THINK ITS BECAUSE IM SEXY❤️
Key Insights & Takeaways
Quackity's content often blends humor with deeper social commentary, making it relatable and shareable. Their bilingual presence allows them to engage with a wider, diverse audience. They frequently reference gaming culture and online communities, which strengthens their connection with fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 5,825,572
- + 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 @Quackity reveals an exceptionally influential Twitter presence with 5,825,572 followers. The account demonstrates a conversation-first approach, averaging 43,947.3 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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