94,985
Followers
809
Following
10,041
Tweets
1,358.8
Avg Engagement
489
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kwiltj'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:2010-04-05
- Verification:No
- Location:Portland, OR
Data Summary
- Tweets Analyzed:3,169
- Avg Likes per Tweet:48.2
- Avg Retweets per Tweet:1,310.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,169 tweetsKwiltj's tweets receive a moderate level of engagement, with an average of 2,210 likes and 567 retweets per tweet. Their content resonates with followers, encouraging interaction and reflection.
48.2
Avg Likes/Tweet
1,310.6
Avg Retweets/Tweet
152,778
Total Likes
4,153,234
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
2
Median Retweets
51
75th Percentile
1,415,937
Top Tweet
14.31
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
18.0%
Original
19.5%
Replies
30.8%
Retweets
31.7%
Quotes
0.0%
Threads
0.3%
With Media
65.9%
With Links
17.8%
With #Tags
71.5%
With @Mentions
52.9%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.08
Reply/Original Ratio
1.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,169 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 976 retweets (31% 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 3,169 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 followersThe audience appears to be sports enthusiasts, particularly fans of college basketball and related teams. They are likely interested in personal stories and achievements in sports.
Average
Audience Quality
27.2%
Suspicion Index
26.7%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.5%
Empty Bio
25.1%
<10 Tweets
18.0%
Mass Following (>2K)
0.0%
New (<90 days)
61.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
14.9%
<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.
29,265,488
Total Potential Reach
42
Median Follower Reach
185
75th Percentile Reach
5.7%
>1K followers
1.3%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.0%
Creators
5,195 accounts
22.9%
Consumers
2,291 accounts
25.1%
Dormant
2,514 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):
70
Verified Followers
0.7% of total
899
Protected Accounts
8.99% of total
6 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 |
|---|---|---|---|
| @JohnCena | 14,093,251 | Wrestler | Wrestling, Motivation, Self-promotion |
| @isaiahthomas | 1,872,675 | Basketball Player | Basketball, Fatherhood, All Star |
| @unkonfined | 662,534 | Influencer | - |
| @streetoshi | 584,053 | - | - |
| @FIBA | 501,091 | Sports Organization | Basketball, Tokyo2020, Hoops |
| @PopWrapped | 498,460 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @Moreno | 430,881 | Influencer | Business, Manager, Serious |
| @ACBCOM | 427,434 | Sports League | Baloncesto, LigaEndesa, ACB |
| @nbagleague | 407,475 | Basketball | Basketball, Development, Talent |
| @clicktotweet | 268,793 | Social Media Manager | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,148
Followers With Bio
3,852
Followers Without Bio
61.48%
% With Bio
38.52%
% 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 3,169 analyzed2,126,534
Combined Engagement
0
Total Likes
2,126,534
Total Retweets
425,307
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @BarackObama: "No one is born hating another person because of the color of his skin or his background or his religion..." https://t.co/InZ58zkoAm
RT @KingJames: https://t.co/J40qxvNc82
RT @longlive_nixon: ‘walk it like I talk it’ crossover featuring dr.seuss https://t.co/LQdzIcGGUY
RT @ASAPxAng: They was getting it in on the train today. Shoutout to these two. Young talent. https://t.co/bW9X6UsRUC
RT @AdamSandler: Happy loves you all! Thanks for everything! https://t.co/p1aY9JcFWh
Key Insights & Takeaways
Kwiltj often shares personal stories that highlight gratitude and mentorship. They use sports as a platform to express emotions and reflect on past experiences. Their content is relatable and fosters a sense of community among followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 94,985
- + 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 @kwiltj reveals an exceptionally influential Twitter presence with 94,985 followers. The account demonstrates a conversation-first approach, averaging 1,358.8 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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