Steve Magness
Author of the NEW book: Do Hard Things: https://thegrowtheq.com/wp-content/uploads/2023/12/Do-hard-things.jpg Co-Founder The Growth Equation: https://thegrowtheq.com/newsletter-sig… Performance Coach
109,047
Followers
981
Following
35,608
Tweets
92.6
Avg Engagement
1,312
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stevemagness'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:2009-12-19
- Verification:No
- Location:Houston, TX
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:82.3
- Avg Retweets per Tweet:10.3
- Followers Analyzed:25
Engagement Analysis
Based on 3,248 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The consistent engagement suggests his audience values his expertise and relatable advice.
82.3
Avg Likes/Tweet
10.3
Avg Retweets/Tweet
267,348
Total Likes
33,386
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
2
Median Retweets
94
75th Percentile
3,337
Top Tweet
0.85
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
30.8%
Original
56.4%
Replies
11.0%
Retweets
1.8%
Quotes
0.0%
Threads
0.1%
With Media
27.0%
With Links
1.4%
With #Tags
38.4%
With @Mentions
2.5%
With Emojis
225
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.83
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 358 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 3,248 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 25 followersHis content appeals to athletes, fitness enthusiasts, and individuals seeking personal development. It also resonates with those interested in psychology and mental health.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
151
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
68.0%
No URL
100.0%
<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.
24,202
Total Potential Reach
151
Median Follower Reach
573
75th Percentile Reach
16.0%
>1K followers
0.0%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
25 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):
0
Verified Followers
0.0% of total
2
Protected Accounts
8.0% of total
10 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 |
|---|---|---|---|
| @Twexlist | 8,593 | - | - |
| @Robert_Ashton | 5,199 | - | - |
| @AlisaCohn | 4,070 | - | - |
| @WayTooLoose | 2,786 | - | - |
| @kevinmoncion | 591 | - | - |
| @glendills | 585 | - | - |
| @acasanova10 | 573 | - | - |
| @ATCsam | 331 | - | - |
| @marianagcouto | 305 | - | - |
| @workhorse00 | 209 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
21
Followers With Bio
4
Followers Without Bio
84.0%
% With Bio
16.0%
% 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 3,248 analyzed13,283
Combined Engagement
11,465
Total Likes
1,818
Total Retweets
2,657
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Exercising 150 minutes per week for 4 months is equally as effective as taking an antidepressant for depression, review finds. Get outside and get moving. Start small and easy. For many, a walk is enough when you are starting. https://t.co/kQbRHJ5TXc
When I was in high school, I was a running phenom, reaching #1 in the nation. Then I largely failed. I never improved. Here are 9 lessons for the driven that I wish I knew when I was obsessively training and neglecting just about everything else:
90% of coaching is helping people get out of their own way. Ego, fear of failure, status anxiety, external validation = Get in our way. I've spent 15 years researching, writing & working with elite performers on how to get the most out of ourselves. Here are the key less
I tell anyone who says "I hate running/jogging" that they are going too fast Be able to have a full conversation. If that requires walking, then that's where you're at. When people recommend zone 2 training for general population, for most it should mean go on a walk
Decided not to study much for an exam, or skip out on practice before a big game? Under preparation is a coping strategy for stress. It allows you to protect your ego because you didn't 'try.' Actually putting forth effort, requires being okay confronting your limits.
Key Insights & Takeaways
Exercising 150 minutes per week for 4 months is equally as effective as taking an antidepressant for depression, review finds. Get outside and get mov; I tell anyone who says 'I hate running/jogging' that they are going too fast Be able to have a full conversation. If that requires walking, then that'; 90% of coaching is helping people get out of their own way. Ego, fear of failure, status anxiety, external validation = Get in our way.
Strengths
- + Established follower base of 109,047
- + 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 @stevemagness reveals an growing Twitter presence with 109,047 followers. The account demonstrates a conversation-first approach, averaging 92.6 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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