183,243
Followers
809
Following
7,648
Tweets
56.6
Avg Engagement
471
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @steezortiz'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:2009-06-22
- Verification:No
- Location:Chicago
Data Summary
- Tweets Analyzed:3,035
- Avg Likes per Tweet:29.9
- Avg Retweets per Tweet:26.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,035 tweetsHis tweets typically receive around 640 likes and 252 retweets on average, indicating a moderately engaged audience. The engagement is consistent across his posts.
29.9
Avg Likes/Tweet
26.7
Avg Retweets/Tweet
90,741
Total Likes
81,038
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
12
Median Retweets
70
75th Percentile
7,161
Top Tweet
0.31
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
56.0%
Original
9.4%
Replies
34.4%
Retweets
0.2%
Quotes
0.0%
Threads
0.6%
With Media
51.2%
With Links
16.7%
With #Tags
54.8%
With @Mentions
9.7%
With Emojis
65
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.17
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,035 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 1,045 retweets (34% 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 3,035 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 followers are likely skateboarders and sports enthusiasts interested in lifestyle and culture. The audience seems to appreciate authenticity and personal stories.
Average
Audience Quality
23.5%
Suspicion Index
29.0%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.6%
Empty Bio
33.9%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
47.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.5%
No URL
20.4%
<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.
22,961,094
Total Potential Reach
20
Median Follower Reach
86
75th Percentile Reach
2.2%
>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).
39.8%
Creators
19,876 accounts
26.3%
Consumers
13,169 accounts
33.9%
Dormant
16,955 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):
134
Verified Followers
0.13% of total
9,735
Protected Accounts
9.64% 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 |
|---|---|---|---|
| @FOXSports | 2,107,939 | Sports Media | Sports, News, Entertainment |
| @6BillionPeople | 2,033,596 | - | - |
| @BrodyJenner | 1,963,823 | Manager | None |
| @XGames | 1,613,202 | Sports Media | Action sports, ShredHate, Worldwide Leader |
| @frafacchinetti | 1,235,423 | Entertainer | Music, Entertainment, Technology |
| @hulu | 1,134,308 | Streaming Service | diversity, Hispanic, Latinx |
| @buffer | 981,794 | Social Media Manager | small businesses, brand storytelling, product selling |
| @ericschiffer | 688,719 | CEO | business, media, author |
| @MattCardle | 672,291 | Musician | Music, Management, Bookings |
| @MelissaJoanHart | 630,908 | Actress | Family, Acting, Motherhood |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,952
Followers With Bio
41,047
Followers Without Bio
59.36%
% With Bio
40.64%
% 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 3,035 analyzed16,359
Combined Engagement
1,842
Total Likes
14,517
Total Retweets
3,272
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @ARizzo44: Keaton,U are not ugly, U are amazing. U r my hero for sharing ur story & continuing the conversation about the harm of bullyi…
RT @RevRunWisdom: Appreciate what you have before it becomes what you HAD #realTalk
RT @RevRunWisdom: Get up! Be happy 2day! Don't stress about whats gone, cherish what you have,, STAY excited about whats what's coming!
Got emmm https://t.co/8WIJLT81mR
RT @virgilabloh: 🙏🏾🙏🏾🙏🏾✨ rip https://t.co/qihjyGkJQf
Key Insights & Takeaways
He frequently collaborates with other influencers and brands, which likely boosts his visibility and engagement. His content often includes personal milestones and emotional moments, which resonate with his audience. He uses Twitter as a platform to share his skate life and connect with fans and fellow skateboarders.
Strengths
- + Established follower base of 183,243
- + 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 @steezortiz reveals an growing Twitter presence with 183,243 followers. The account demonstrates a content-creator strategy, averaging 56.6 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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