Stephen Bear
The comeback is always greater than the setback 🐾
311,610
Followers
622
Following
11,361
Tweets
326.9
Avg Engagement
211
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stephen__bear'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:2011-07-11
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:2,896
- Avg Likes per Tweet:106.7
- Avg Retweets per Tweet:220.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,896 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
106.7
Avg Likes/Tweet
220.2
Avg Retweets/Tweet
309,128
Total Likes
637,667
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
4
Median Retweets
137
75th Percentile
68,473
Top Tweet
1.05
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
43.9%
Original
8.4%
Replies
45.0%
Retweets
2.8%
Quotes
0.0%
Threads
0.2%
With Media
52.0%
With Links
24.0%
With #Tags
67.7%
With @Mentions
67.2%
With Emojis
100
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.1%
Weekday Posts
23.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,896 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 1,302 retweets (45% 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 2,896 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 includes fans of his content, celebrity followers, and people interested in personal stories and achievements.
Average
Audience Quality
32.4%
Suspicion Index
51.2%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.7%
Empty Bio
45.6%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
57.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
36.7%
<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.
14,736,803
Total Potential Reach
16
Median Follower Reach
95
75th Percentile Reach
2.9%
>1K followers
0.4%
>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).
36.5%
Creators
18,273 accounts
17.8%
Consumers
8,910 accounts
45.6%
Dormant
22,817 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):
189
Verified Followers
0.19% of total
18,977
Protected Accounts
18.79% of total
6 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 |
|---|---|---|---|
| @JDaIey | 1,229,271 | - | - |
| @khloe | 798,606 | Model | Travel, Model, Host |
| @XvideosGay_18 | 664,215 | Adult entertainer | Adult content, 18+, Xvideos |
| @Moreno | 430,299 | Influencer | Business, Manager, Serious |
| @Dylan_Bostic | 349,421 | Wrestler | Pro Wrestling, Boxing, Acting |
| @FanDuel | 339,012 | Gaming | Sports Betting, Online Casino, Analysis |
| @AndyTCarroll | 280,546 | Footballer | Football, Family, Fitness |
| @drewwiggy | 268,960 | - | - |
| @daisydootaylor | 266,491 | Content Creator | OnlyFans, Top 1%, Modeling |
| @hot_connection2 | 251,595 | Adult entertainer | NSFW, Hot, Connection |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,434
Followers With Bio
62,565
Followers Without Bio
38.05%
% With Bio
61.95%
% 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 2,896 analyzed232,792
Combined Engagement
0
Total Likes
232,792
Total Retweets
46,558
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @T_Wes44: 9 years ago today, I was given a 1% chance to ever walk again... 🚶🏾♂️ https://t.co/t8I3SpS6op
RT @WilldeFries: never forget about the insanely british kid who threatened to uppercut santa if he’s on the naughty list https://t.co/lgfw…
RT @ivantoney24: I wasn’t even going to post this but I woke up angry… https://t.co/2MhjRO05rr
RT @TheNotoriousMMA: Dublin, Ireland STAND UP! This one is for you! Dedicated. @BeatsByDre #AboveTheNoise https://t.co/oXjgfO0Ig4
RT @TigerWoods: It is hard to explain how touching today was when I turned on the tv and saw all the red shirts. To every golfer and every…
Key Insights & Takeaways
He frequently mentions family and personal achievements, which resonate well with his audience. He engages with celebrities, which likely boosts his visibility and follower interaction. His content is a mix of personal celebration and public engagement, contributing to his high engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 311,610
- + 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 @stephen__bear reveals an well-established Twitter presence with 311,610 followers. The account demonstrates a content-creator strategy, averaging 326.9 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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