Phillip Dorsett II
God-Family-Football-Track and Field-Boxing-Denver Broncos
28,564
Followers
622
Following
7,474
Tweets
217.2
Avg Engagement
260
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Dorsett_4'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:2011-01-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:17.7
- Avg Retweets per Tweet:199.5
- Followers Analyzed:29,361
Engagement Analysis
Based on 3,193 tweetsDorsett_4's tweets typically receive high engagement, with an average of 1,328 likes and 303 retweets per post. Their content is well-received and often shared within their community.
17.7
Avg Likes/Tweet
199.5
Avg Retweets/Tweet
56,602
Total Likes
637,005
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
24
75th Percentile
99,333
Top Tweet
7.6
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
41.9%
Original
30.5%
Replies
18.5%
Retweets
9.1%
Quotes
0.0%
Threads
0.2%
With Media
21.6%
With Links
9.2%
With #Tags
59.0%
With @Mentions
22.7%
With Emojis
54
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.73
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.9%
Weekday Posts
33.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 590 retweets (18% 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 3,193 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 29,361 followersThe audience appears to be sports enthusiasts, particularly fans of football and track and field, as well as individuals interested in humor and pop culture.
Good
Audience Quality
17.7%
Suspicion Index
21.5%
Low-Quality %
110
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.5%
Empty Bio
10.2%
<10 Tweets
15.9%
Mass Following (>2K)
0.0%
New (<90 days)
34.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
5.6%
<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.
145,944,406
Total Potential Reach
110
Median Follower Reach
322
75th Percentile Reach
8.2%
>1K followers
1.6%
>10K followers
0.5%
>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).
74.6%
Creators
21,916 accounts
15.2%
Consumers
4,464 accounts
10.2%
Dormant
2,981 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):
389
Verified Followers
1.32% of total
3,913
Protected Accounts
13.33% 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 |
|---|---|---|---|
| @NFL | 32,900,120 | Athlete | Football, Tight End, Humor |
| @JohnCena | 14,106,797 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AdamSchefter | 10,324,619 | Sports Journalist | NFL, Insider, Podcast |
| @nflnetwork | 4,939,483 | Sports Media | Football, Television, Sports |
| @Patriots | 4,697,363 | - | - |
| @verified | 4,201,505 | - | - |
| @ESPNNFL | 3,713,316 | Sports Media | Football, Sports, News |
| @DezBryant | 3,504,351 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @TomBrady | 3,080,184 | Football | Family, Football |
| @PatMcAfeeShow | 2,835,051 | Sports commentator | Sports, Betting, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
18,354
Followers With Bio
11,007
Followers Without Bio
62.51%
% With Bio
37.49%
% 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 3,193 analyzed288,926
Combined Engagement
0
Total Likes
288,926
Total Retweets
57,785
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @MikeVick: Why I pray so hard? Bc just when I thought I had everything I lost it all.....
RT @t0nit0ne: Instagram is trying so hard to compete with TikTok that they’re trying to become another TikTok. If I wanted to see video after video from random pages I don’t follow, I wouldn’t be on Instagram. Do what we need from you, and bring back the photos of our actual frie
RT @CCoffey96: It would take 2.3 seconds to retweet this. http://t.co/kaH5HCxCEs
RT @TheBeast23: It would take 2.3 seconds to rt this💞🙌 http://t.co/L4bCiKSZjy
RT @gucci1017: https://t.co/FjuTXIQeCJ
Key Insights & Takeaways
Their content often blends humor with sports commentary, making it relatable and shareable. They frequently use memes and viral content to engage their audience. Their verified status suggests a level of credibility and authenticity in their posts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 28,564
- + 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 @Dorsett_4 reveals an well-established Twitter presence with 28,564 followers. The account demonstrates a content-creator strategy, averaging 217.2 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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