Coach Justin Stepp
Christian, Husband to @brookehstepp, Dad to Courtland & Alli, WR Coach University of South Carolina, Philippians 4:13, 2nd Timothy 1:7
67,304
Followers
4,157
Following
22,796
Tweets
173.7
Avg Engagement
190
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @coachjstepp'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:2012-05-15
- Verification:No
- Location:Columbia, SC
Data Summary
- Tweets Analyzed:3,230
- Avg Likes per Tweet:73.7
- Avg Retweets per Tweet:99.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,230 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong community interaction and support.
73.7
Avg Likes/Tweet
99.9
Avg Retweets/Tweet
238,182
Total Likes
322,751
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
17
Median Retweets
138
75th Percentile
28,243
Top Tweet
2.58
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
9.4%
Original
2.8%
Replies
67.6%
Retweets
20.2%
Quotes
0.0%
Threads
0.1%
With Media
80.5%
With Links
23.8%
With #Tags
79.7%
With @Mentions
34.6%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,230 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 2,183 retweets (68% 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 3,230 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 includes fellow coaches, athletes, and fans of the University of South Carolina football team, as well as family and friends.
Good
Audience Quality
18.7%
Suspicion Index
20.6%
Low-Quality %
106
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.2%
Empty Bio
22.4%
<10 Tweets
15.5%
Mass Following (>2K)
0.0%
New (<90 days)
30.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
71.0%
No URL
13.0%
<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.
6,186,521
Total Potential Reach
106
Median Follower Reach
296
75th Percentile Reach
5.5%
>1K followers
0.7%
>10K followers
0.2%
>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).
44.7%
Creators
4,473 accounts
32.8%
Consumers
3,283 accounts
22.4%
Dormant
2,244 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):
203
Verified Followers
2.03% of total
500
Protected Accounts
5.0% of total
4 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 |
|---|---|---|---|
| @zammit_marc | 385,176 | Filmmaker | Film, Acting, Producing |
| @_willcompton | 311,741 | Podcaster | Podcast, NFL, Followers |
| @Hasselbeck | 250,548 | Athlete | Football, Family, Faith |
| @TandMHD | 246,807 | Music Producer | Music, Production, TV |
| @BumpNrunGilm0re | 147,994 | Athlete | God, Jordan Brand, Rock Hill |
| @MorelDLeon | 127,413 | - | - |
| @MelissaOnline | 122,183 | Entrepreneur | Entrepreneurship, Coffee, Action |
| @TomLuginbill | 99,972 | CFB Analyst | Recruiting, Scout, CFB analyst |
| @AndrewSportss4 | 94,072 | - | - |
| @BretLockett26 | 90,169 | Business Consultant | Business, Peak Performance, NFL |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,179
Followers With Bio
2,821
Followers Without Bio
71.79%
% With Bio
28.21%
% 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 3,230 analyzed66,517
Combined Engagement
0
Total Likes
66,517
Total Retweets
13,303
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @warriors: WARRRRIORRRRRSSSSSS
RT @warriors: WARRRRRIORRRRSSS
RT @warriors: ARE YOU KIDDING @22wiggins ?!?!?!?! https://t.co/5WGnP83bcx
RT @warriors: 30 👏 DID 👏 THAT @googlecloud || Player of the Game https://t.co/4IkNVNR7LO
RT @warriors: One win away. Let's head back to The Bay. https://t.co/QLNsURT8J2
Key Insights & Takeaways
He often shares personal and professional experiences, which resonate with his audience. He emphasizes family values and gratitude, which strengthens his connection with followers. He uses hashtags and links to engage with specific groups and events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 67,304
- + 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 @coachjstepp reveals an well-established Twitter presence with 67,304 followers. The account demonstrates a content-creator strategy, averaging 173.7 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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