Evan Turner
the world can rush but i'll wait to be perfect
191,712
Followers
2,918
Following
19,961
Tweets
480.2
Avg Engagement
1,713
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @thekidet'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:2009-11-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:133.7
- Avg Retweets per Tweet:346.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsTheir tweets receive high engagement, with an average of 13,961 likes and 1,021 retweets per post, indicating a loyal and active audience.
133.7
Avg Likes/Tweet
346.5
Avg Retweets/Tweet
433,181
Total Likes
1,122,820
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
51
75th Percentile
67,179
Top Tweet
2.51
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
34.4%
Original
36.1%
Replies
20.1%
Retweets
9.4%
Quotes
0.0%
Threads
0.2%
With Media
19.8%
With Links
3.9%
With #Tags
57.7%
With @Mentions
14.9%
With Emojis
74
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.05
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.1%
Weekday Posts
31.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 651 retweets (20% 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 3,240 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 followersTheir followers seem to appreciate candid and relatable content, with a mix of sports enthusiasts and casual observers.
Average
Audience Quality
27.4%
Suspicion Index
30.4%
Low-Quality %
36
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.7%
Empty Bio
26.9%
<10 Tweets
14.6%
Mass Following (>2K)
0.0%
New (<90 days)
62.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
19.1%
<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.
107,654,151
Total Potential Reach
36
Median Follower Reach
168
75th Percentile Reach
5.2%
>1K followers
1.0%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55.0%
Creators
27,508 accounts
18.1%
Consumers
9,045 accounts
26.9%
Dormant
13,447 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):
435
Verified Followers
0.43% of total
11,730
Protected Accounts
11.61% of total
8 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 |
|---|---|---|---|
| @TwitterSports | 14,735,380 | - | - |
| @JohnCena | 14,100,159 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AdamSchefter | 10,334,530 | Sports Journalist | NFL, Insider, Podcast |
| @wojespn | 5,897,513 | Sports Journalist | NBA, Insider, Podcasting |
| @llcoolj | 4,959,753 | Rapper | Music, Hip-hop, Entertainment |
| @celtics | 4,123,113 | Sports Team | Basketball, Championships, Boston |
| @Dame_Lillard | 3,229,636 | Basketball Player | Basketball, Music, Fashion |
| @iJesseWilliams | 2,310,270 | Producer | Activism, Education, Entertainment |
| @6BillionPeople | 2,033,683 | - | - |
| @SteveStfler | 1,907,832 | Comedy Writer | Male Thoughts, Men's Point of View, Humor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,601
Followers With Bio
44,397
Followers Without Bio
56.04%
% With Bio
43.96%
% 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 3,240 analyzed226,389
Combined Engagement
32,509
Total Likes
193,880
Total Retweets
45,278
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @elleceetee: I’m sick of living in unprecedented times.
RT @NaomiRHelm: Crawford sheriff dept Arkansas https://t.co/KZAmwzwwmV
RT @LarsJohanL: This blue Lobster was caught off the coast of Portland yesterday and returned to the water to continue to grow. Blue lobst…
RT @johnlegend: Weird how all these “free, independent thinkers” always land at the same old anti blackness and anti semitism.
I wanna fight jake Paul
Key Insights & Takeaways
They often share personal reflections and opinions on popular culture and sports figures. Their content includes both humorous and emotional moments, which resonate with their audience. They use a casual and conversational tone, making their tweets feel more like personal interactions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 191,712
- + 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 @thekidet reveals an well-established Twitter presence with 191,712 followers. The account demonstrates a conversation-first approach, averaging 480.2 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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