Joost
🦒 (~‾▿‾)~ | JoostSpeeltSpellen | #1 fangirl van @linktijger | Contact: [email protected] | https://fanflock.nl/ 🫱🏻🫲🏼
68,119
Followers
304
Following
52,438
Tweets
45.5
Avg Engagement
42
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Joost_Bouhof'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: Mid-Tier (10K+)
- Account Age:2011-07-09
- Verification:No
- Location:Netherlands
Data Summary
- Tweets Analyzed:3,216
- Avg Likes per Tweet:18.7
- Avg Retweets per Tweet:26.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,216 tweetsJoost's tweets typically receive a moderate to high number of likes, with relatively low retweets, indicating a strong interest in his content but less viral sharing. His engagement is driven by personal stories and community interactions.
18.7
Avg Likes/Tweet
26.8
Avg Retweets/Tweet
60,170
Total Likes
86,318
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
0
Median Retweets
21
75th Percentile
55,495
Top Tweet
0.67
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
28.9%
Original
64.4%
Replies
1.1%
Retweets
5.7%
Quotes
0.0%
Threads
0.0%
With Media
29.9%
With Links
2.2%
With #Tags
65.0%
With @Mentions
22.3%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.23
Reply/Original Ratio
5.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.5%
Weekday Posts
30.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,216 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 34 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 3,216 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 10,000 followersHis audience primarily consists of gaming enthusiasts and fans of his content, including those who follow his personal and community-related posts. The audience is highly engaged and interested in his personal experiences and interactions.
Below Average
Audience Quality
36.8%
Suspicion Index
44.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.1%
Empty Bio
64.8%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
79.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
47.1%
<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.
1,320,956
Total Potential Reach
1
Median Follower Reach
6
75th Percentile Reach
1.4%
>1K followers
0.2%
>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).
15.4%
Creators
1,538 accounts
19.8%
Consumers
1,983 accounts
64.8%
Dormant
6,479 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):
29
Verified Followers
0.29% of total
485
Protected Accounts
4.85% 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 |
|---|---|---|---|
| @kn0nker | 224,622 | Animator | Animation, YouTube, Twitch |
| @QuintenFrancois | 98,506 | YouTuber | Crypto, YouTuber, Author |
| @MikeZillionaire | 64,276 | - | - |
| @AudioTechnicaEU | 47,086 | - | - |
| @PetraStoker | 29,246 | - | - |
| @TaniaUncensored | 24,329 | - | - |
| @Ingeborgvraagt | 22,902 | - | - |
| @CreativeMessNFT | 22,040 | - | - |
| @salnfts | 21,426 | - | - |
| @OzmaXR | 20,708 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,887
Followers With Bio
4,113
Followers Without Bio
58.87%
% With Bio
41.13%
% 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 3,216 analyzed86,933
Combined Engagement
988
Total Likes
85,945
Total Retweets
17,387
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @NintendoAmerica: The sequel to The Legend of Zelda: Breath of the Wild is The Legend of Zelda: Tears of the Kingdom! The Legend of #Zelda: Tears of the Kingdom launches on #NintendoSwitch 5/12/23. #NintendoDirect https://t.co/qkGnFYFXNs
RT @kn0nker: i think moto moto likes you ... https://t.co/cGLu9KeetZ
RT @SuperWiiBros08: Donkey Kong rapidly slaps mario half life ragdoll sound effects #mariomovie #Supermariomovie #supermariobrosmovie https://t.co/ubPA1QEUlE
Het overlijden van Technoblade en vooral hoe de community er op reageert... CHILLS! 😔 #RIP
Ik nam met Ronald op en kreeg dit https://t.co/ip3nUVXJhL
Key Insights & Takeaways
Joost's content often revolves around personal experiences and emotional reactions to significant events in the gaming community. He frequently interacts with other creators and fans, which helps maintain a loyal and engaged audience. His use of personal branding and community ties strengthens his connection with followers.
Strengths
- + Established follower base of 68,119
- + 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 @Joost_Bouhof reveals an growing Twitter presence with 68,119 followers. The account demonstrates a conversation-first approach, averaging 45.5 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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