Mike Weber
72,027
Followers
752
Following
6,996
Tweets
670.2
Avg Engagement
199
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mikeweberjr'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:2013-01-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,050
- Avg Likes per Tweet:216.4
- Avg Retweets per Tweet:453.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,050 tweetsThe account has high engagement with an average of 25,984 likes and 6,550 retweets per tweet, indicating a highly interactive and supportive community. The content resonates well with followers, encouraging both likes and shares.
216.4
Avg Likes/Tweet
453.8
Avg Retweets/Tweet
659,948
Total Likes
1,384,174
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
33
75th Percentile
235,900
Top Tweet
9.3
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
35.7%
Original
21.3%
Replies
40.2%
Retweets
2.7%
Quotes
0.0%
Threads
0.1%
With Media
27.0%
With Links
13.7%
With #Tags
68.8%
With @Mentions
42.1%
With Emojis
66
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.9%
Weekday Posts
31.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,050 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 1,226 retweets (40% 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 3,050 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 followersThe audience appears to be interested in sports, particularly football, and may include fans and followers who engage with personal and emotional content. They also seem to appreciate humor and relatable moments.
Average
Audience Quality
21.8%
Suspicion Index
24.5%
Low-Quality %
64
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.8%
Empty Bio
18.0%
<10 Tweets
14.6%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
11.2%
<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.
32,440,890
Total Potential Reach
64
Median Follower Reach
228
75th Percentile Reach
5.9%
>1K followers
0.9%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.9%
Creators
6,288 accounts
19.1%
Consumers
1,912 accounts
18.0%
Dormant
1,800 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):
77
Verified Followers
0.77% of total
1,075
Protected Accounts
10.75% of total
7 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 |
|---|---|---|---|
| @johnlegend | 13,537,715 | Singer | Music, Family, Wine |
| @NFLonFOX | 3,856,926 | Sports Media | Football, NFL, Sports |
| @Chiefs | 2,340,434 | Sports Team | Football, NFL, Kansas City |
| @bakermayfield | 838,985 | Athlete | Headbands, Justin Timberlake, Believe |
| @DanielNewman | 806,301 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @unkonfined | 663,831 | Influencer | - |
| @Reflog_18 | 549,526 | - | - |
| @Michael_Fabiano | 513,219 | Fantasy Analyst | Fantasy Football, Yankees, Cowboys |
| @BreadBoi | 509,999 | Music Producer | Music, Bully, Rap |
| @Bridget | 489,402 | Podcaster | Reality TV, Beaches, Paranormal |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,223
Followers With Bio
3,777
Followers Without Bio
62.23%
% With Bio
37.77%
% 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 3,050 analyzed594,759
Combined Engagement
114,134
Total Likes
480,625
Total Retweets
118,952
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @Jaedimla1: Dear God, please calm my mind, heal my heart and take my worries away.
My baby didn't make it but she fought so hard thanks everyone for the support RIH angel ♥️ https://t.co/bH5NprWpJ8
RT @OK__Innocent: Retweet if your father is a blessing https://t.co/QfFBXAVo5l
RT @paul_haine: Marvin Gaye with the music and backing vocals removed is astonishing https://t.co/iNbjY7F4bI
RT @elonmusk: The future currency of Earth
Key Insights & Takeaways
The user frequently shares personal and emotional experiences, which likely contribute to high engagement. The content includes a mix of sports commentary and humor, appealing to a broad audience. The use of personal stories and heartfelt messages helps build a strong connection with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,027
- + 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 @mikeweberjr reveals an well-established Twitter presence with 72,027 followers. The account demonstrates a content-creator strategy, averaging 670.2 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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