Steve Howey
Free Throws Win Games
334,821
Followers
907
Following
4,972
Tweets
843.1
Avg Engagement
581
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stevehowey'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:2011-01-15
- Verification:No
- Location:Los Angeles
Data Summary
- Tweets Analyzed:3,190
- Avg Likes per Tweet:618.8
- Avg Retweets per Tweet:224.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,190 tweetsHis tweets receive high engagement, with an average of 5,035 retweets. The content is relatable and resonates with his audience.
618.8
Avg Likes/Tweet
224.4
Avg Retweets/Tweet
1,973,823
Total Likes
715,808
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
136
Median Likes
24
Median Retweets
648
75th Percentile
167,750
Top Tweet
2.52
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
67.7%
Original
14.8%
Replies
10.9%
Retweets
6.5%
Quotes
0.0%
Threads
0.6%
With Media
34.0%
With Links
29.7%
With #Tags
35.6%
With @Mentions
5.0%
With Emojis
69
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
0.59
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,190 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 349 retweets (11% 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 3,190 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 followersHis audience appears to be interested in pop culture, personal reflections, and social issues. They engage with his content regularly, indicating a loyal following.
Average
Audience Quality
25.9%
Suspicion Index
32.0%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.9%
Empty Bio
32.2%
<10 Tweets
6.7%
Mass Following (>2K)
0.0%
New (<90 days)
59.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
23.1%
<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.
46,010,930
Total Potential Reach
16
Median Follower Reach
95
75th Percentile Reach
3.1%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.9%
Creators
24,429 accounts
19.0%
Consumers
9,492 accounts
32.2%
Dormant
16,079 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):
436
Verified Followers
0.43% of total
15,451
Protected Accounts
15.3% 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 | 14,103,411 | Wrestler | Wrestling, Motivation, Self-promotion |
| @EW | 6,413,004 | Media | Movies, Entertainment, News |
| @jasonsegel | 1,932,294 | - | - |
| @KameronBennett | 1,812,764 | DJ | Music, DJing, Booking |
| @AndrewYang | 1,699,741 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @danjlevy | 1,257,905 | - | - |
| @RexChapman | 1,254,938 | Commentator | Basketball, Horse racing, Commentary |
| @ParisJackson | 1,213,555 | Musician | Music, Recorders, WME & IMG |
| @ginacarano | 1,209,368 | Actress | MMA, Actress, Fitness |
| @CBS | 1,206,656 | Media | News, Entertainment, Television |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,876
Followers With Bio
41,123
Followers Without Bio
59.28%
% With Bio
40.72%
% 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 3,190 analyzed390,336
Combined Engagement
114,793
Total Likes
275,543
Total Retweets
78,067
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @MrLukeJohnston: Possibly the greatest scene in documentary history. Incredible. #PlanetEarth2 https://t.co/01dDjDJcdX
Goodbye... https://t.co/IlpNzNI9z6
RT @RexChapman: As riots in Minneapolis continue, a center for low-income housing put out a call asking for food donations. This is how pe…
Turn off the news. Hug someone.
RT @KingJames: Listen I know I don’t play baseball but I am in Sports and I know if someone cheated me out of winning the title and I found…
Key Insights & Takeaways
He often shares personal opinions on celebrities and media, which drives engagement. He uses Twitter to express his views on current events and social issues. His content is concise and impactful, encouraging interaction from his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 334,821
- + 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 @stevehowey reveals an well-established Twitter presence with 334,821 followers. The account demonstrates a content-creator strategy, averaging 843.1 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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