Be A Man
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29,540
Followers
674
Following
1,952
Tweets
82.9
Avg Engagement
24
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bostonbeaman'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:2020-12-24
- Verification:No
- Location:Boston, MA
Data Summary
- Tweets Analyzed:1,537
- Avg Likes per Tweet:50.5
- Avg Retweets per Tweet:32.3
- Followers Analyzed:21,715
Engagement Analysis
Based on 1,537 tweetsHis tweets receive an average of 1,739 likes and 222 retweets, indicating a moderately engaged audience. The content is well-received and shared within his community.
50.5
Avg Likes/Tweet
32.3
Avg Retweets/Tweet
77,659
Total Likes
49,686
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
1
Median Retweets
43
75th Percentile
18,421
Top Tweet
2.8
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
61.5%
Original
26.7%
Replies
9.2%
Retweets
2.6%
Quotes
0.0%
Threads
0.1%
With Media
78.3%
With Links
37.7%
With #Tags
46.6%
With @Mentions
5.1%
With Emojis
89
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.43
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
83.8%
Weekday Posts
16.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,537 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 141 retweets (9% 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 1,537 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 21,715 followersHis audience appears to be interested in personal growth, productivity, and lifestyle tips. They likely seek actionable advice and motivational content.
Good
Audience Quality
19.6%
Suspicion Index
26.8%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
15.4%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
46.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
9.8%
<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.
32,523,448
Total Potential Reach
45
Median Follower Reach
157
75th Percentile Reach
4.1%
>1K followers
0.6%
>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).
68.2%
Creators
14,817 accounts
16.4%
Consumers
3,553 accounts
15.4%
Dormant
3,345 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):
50
Verified Followers
0.23% of total
2,543
Protected Accounts
11.71% 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 |
|---|---|---|---|
| @JohnCena | 14,106,850 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,620 | - | - |
| @BarstoolBigCat | 1,643,773 | Sports commentator | Sports, Podcasting, Gambling |
| @DustinPoirier | 1,047,164 | MMA Fighter | MMA, Fatherhood, Ninja |
| @yashar | 706,380 | Journalist | Politics, News, Culture |
| @CountDankulaTV | 475,349 | Comedian | Comedy, Libertarianism, Free Speech |
| @hen_ease | 422,275 | Producer | Sports, Comedy, Entertainment |
| @Ky1eLong | 354,121 | Athlete | Sim Racing, PC Gaming, Mountain Appreciation |
| @MarioRolls | 338,936 | Electronic Music Producer | Electronic music, Concerts, CEO |
| @SuperKingofBros | 305,857 | Wrestler | Wrestling, Fitness, Marketing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,195
Followers With Bio
9,520
Followers Without Bio
56.16%
% With Bio
43.84%
% 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 1,537 analyzed39,566
Combined Engagement
5,657
Total Likes
33,909
Total Retweets
7,913
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @Edelman11: Thanks for the memories, babe. @TomBrady https://t.co/lCqCVn13tI
RT @JoseCanseco: Retweet for a followback
RT @Ihartitz: When the Bucs ask Gronk if he's going to keep playing without Tom Brady https://t.co/FwNC0eZZjw
Never ask for help… https://t.co/vrj3LRor9C
Never finish anything … https://t.co/U6jopAAB04
Key Insights & Takeaways
His top tweets focus on self-reliance and avoiding common pitfalls like asking for help or making shopping lists. He emphasizes consistency and completion in his advice, such as never finishing anything. His content is highly actionable and motivational, resonating with his audience's interests in productivity and personal development.
Strengths
- + Established follower base of 29,540
- + 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 @bostonbeaman reveals an growing Twitter presence with 29,540 followers. The account demonstrates a content-creator strategy, averaging 82.9 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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