Steve Will Do It
drink @happydad, listen to my podcast on Spotify and watch videos on Rumble. follow @steve
549,644
Followers
78
Following
1,759
Tweets
2,688.8
Avg Engagement
104
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stevewilldoit'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:2018-10-08
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:1,089
- Avg Likes per Tweet:1,392.0
- Avg Retweets per Tweet:1,296.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,089 tweetsSteve's tweets show high engagement, indicating a loyal and active audience. The inclusion of links and personal updates suggests a mix of entertainment and informational content.
1,392.0
Avg Likes/Tweet
1,296.8
Avg Retweets/Tweet
1,515,859
Total Likes
1,412,256
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
35
Median Retweets
1,165
75th Percentile
186,437
Top Tweet
4.89
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
37.2%
Original
14.8%
Replies
46.1%
Retweets
1.9%
Quotes
0.0%
Threads
0.1%
With Media
41.0%
With Links
3.9%
With #Tags
68.6%
With @Mentions
13.3%
With Emojis
79
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.1%
Weekday Posts
31.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,089 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 502 retweets (46% 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 1,089 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 both personal stories and news, particularly involving public figures and scandals. The use of media platforms suggests a focus on content consumption and sharing.
Average
Audience Quality
34.1%
Suspicion Index
50.1%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59.6%
Empty Bio
53.8%
<10 Tweets
3.2%
Mass Following (>2K)
0.0%
New (<90 days)
65.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
40.6%
<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.
25,729,756
Total Potential Reach
4
Median Follower Reach
31
75th Percentile Reach
2.0%
>1K followers
0.3%
>10K followers
0.1%
>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).
25.6%
Creators
12,787 accounts
20.7%
Consumers
10,328 accounts
53.8%
Dormant
26,885 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):
1,255
Verified Followers
1.26% of total
9,987
Protected Accounts
9.99% of total
3 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 |
|---|---|---|---|
| @WhaleCartel | 2,728,556 | - | - |
| @RomanAtwood | 2,651,889 | YouTuber | Family, Smile, YouTube |
| @DJFreshSA | 2,391,071 | DJ | Music, Radio, House |
| @adinross | 2,239,923 | Content Creator | Twitch, YouTube, Business |
| @BabyDogeCoin | 1,903,320 | - | - |
| @DanScavino | 1,688,915 | Political Strategist | Politics, Social Media, White House |
| @APompliano | 1,642,172 | Entrepreneur | Entrepreneurship, Investing, Learning |
| @HasbullaHive | 1,581,647 | Fan Page | MMA, Comedy, Parody |
| @TateTheTalisman | 1,571,495 | Kickboxer | Kickboxing, Fatherhood, Business |
| @ItsTheSituation | 1,269,088 | Reality TV Star | recovery, advocate, fitness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,770
Followers With Bio
55,230
Followers Without Bio
44.77%
% With Bio
55.23%
% 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 1,089 analyzed659,199
Combined Engagement
101,452
Total Likes
557,747
Total Retweets
131,840
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: My pronouns are Prosecute/Fauci
RT @elonmusk: https://t.co/v1rrSsdwdg
RT @elonmusk: The people have spoken. Trump will be reinstated. Vox Populi, Vox Dei.
This my fiancé now, life's crazy https://t.co/cu88rjAj9q
RT @elonmusk: What really happened with the Hunter Biden story suppression by Twitter will be published on Twitter at 5pm ET!
Key Insights & Takeaways
He frequently shares personal life updates, which may help build a connection with his audience. His content often includes links to media platforms, suggesting a focus on content distribution. He engages with breaking news and controversial topics, which likely drives higher interaction and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 549,644
- + 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 @stevewilldoit reveals an exceptionally influential Twitter presence with 549,644 followers. The account demonstrates a content-creator strategy, averaging 2,688.8 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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