345,993
Followers
1,467
Following
4,853
Tweets
485.2
Avg Engagement
167
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Twankuyper'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:2009-07-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,092
- Avg Likes per Tweet:366.0
- Avg Retweets per Tweet:119.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,092 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction. They often use hashtags and call-to-actions to boost engagement.
366.0
Avg Likes/Tweet
119.2
Avg Retweets/Tweet
1,131,755
Total Likes
368,537
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
333
Median Likes
62
Median Retweets
659
75th Percentile
24,562
Top Tweet
1.4
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.3%
Original
6.8%
Replies
13.3%
Retweets
2.5%
Quotes
0.0%
Threads
0.6%
With Media
40.1%
With Links
10.6%
With #Tags
37.0%
With @Mentions
17.8%
With Emojis
66
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,092 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 412 retweets (13% 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 3,092 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 followersTwankuyper's audience likely includes fans of celebrities and social media personalities, as well as individuals interested in entertainment news and challenges.
Average
Audience Quality
32.6%
Suspicion Index
37.8%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.0%
Empty Bio
52.6%
<10 Tweets
3.5%
Mass Following (>2K)
0.0%
New (<90 days)
73.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
36.6%
<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.
44,492,777
Total Potential Reach
4
Median Follower Reach
20
75th Percentile Reach
1.2%
>1K followers
0.2%
>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).
24.0%
Creators
12,003 accounts
23.4%
Consumers
11,692 accounts
52.6%
Dormant
26,305 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):
108
Verified Followers
0.11% of total
10,625
Protected Accounts
10.52% of total
5 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 |
|---|---|---|---|
| @ParisHilton | 16,826,660 | Entrepreneur | business, updates, media |
| @JohnCena | 14,103,627 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NileFM | 2,526,613 | Radio Station | Music, Artists, Entertainment |
| @PaisaVlogs | 1,865,543 | Influencer | cantar, actor, contenido |
| @KameronBennett | 1,812,705 | DJ | Music, DJing, Booking |
| @screamau | 1,550,688 | Singer | singer, composer, NFTs |
| @soledadobrien | 1,318,301 | Journalist | working, mom, journalist |
| @JDaIey | 1,228,935 | - | - |
| @R3HAB | 1,028,403 | DJ | Music, DJ, Collaboration |
| @CSuiteConfess | 1,004,374 | Executive Coach | #MeToo, Executives, Navigating |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,436
Followers With Bio
41,563
Followers Without Bio
58.85%
% With Bio
41.15%
% 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 3,092 analyzed74,607
Combined Engagement
0
Total Likes
74,607
Total Retweets
14,921
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: Is a new platform needed?
RT @juanbuis: it’s incredible how reading this feels like finally unlocking 100% of your brain (via @christophepas) https://t.co/nU6CblVZWT
RT @jakepaul: Yo @elonmusk if you donate $6 billion to the UN to end world hunger I’ll also donate $10 million if this gets 690k retweets
RT @chrisbosh: Ready for the next challenge in my career. #HeatNation goes on! http://t.co/tAFXFSLTCk
RT @Nashgrier: If you took a picture with any of us tweet it with the hashtag #TheGuysAtBBMAs so I can follow you!
Key Insights & Takeaways
They frequently collaborate with influencers like HayesGrier and promote voting and social media interactions. Their content is centered around entertainment, fan support, and social media challenges. They use hashtags and direct calls-to-action to encourage audience participation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 345,993
- + 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 @Twankuyper reveals an well-established Twitter presence with 345,993 followers. The account demonstrates a content-creator strategy, averaging 485.2 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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