Brian Dawkins
New Mission! Blessed By The Best #BBTB #Author - Speaking Life-DOGGONEIT!! https://briandawkins.com/ @PowerHandz HOF2018
429.486
Followers
344
Following
18.469
Tweets
365,9
Avg Engagement
1.676
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BrianDawkins'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:2011-03-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.240
- Avg Likes per Tweet:250,5
- Avg Retweets per Tweet:115,5
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.240 tweetsHis tweets consistently receive high engagement, with an average of 15,338 likes and 3,934 retweets per tweet. The content is well-received and resonates strongly with his audience.
250,5
Avg Likes/Tweet
115,5
Avg Retweets/Tweet
811.567
Total Likes
374.092
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
44
Median Likes
4
Median Retweets
125
75th Percentile
119.497
Top Tweet
0,85
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
45,7%
Original
5,4%
Replies
6,6%
Retweets
42,3%
Quotes
0,0%
Threads
0,1%
With Media
89,2%
With Links
49,0%
With #Tags
14,1%
With @Mentions
76,3%
With Emojis
74
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,12
Reply/Original Ratio
6,37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72,4%
Weekday Posts
27,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.240 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 215 retweets (7% 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 3.240 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 followers are likely sports fans, particularly Eagles supporters, and individuals interested in motivational content and personal development. The audience also includes fans of his speaking and writing work.
Average
Audience Quality
27,5%
Suspicion Index
34,1%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47,0%
Empty Bio
31,4%
<10 Tweets
7,5%
Mass Following (>2K)
0,0%
New (<90 days)
63,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
91,2%
No URL
21,2%
<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.
52.292.010
Total Potential Reach
15
Median Follower Reach
79
75th Percentile Reach
3,3%
>1K followers
0,5%
>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).
45,6%
Creators
22.805 accounts
23,0%
Consumers
11.489 accounts
31,4%
Dormant
15.706 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):
765
Verified Followers
0.76% of total
9.692
Protected Accounts
9.6% 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 |
|---|---|---|---|
| @JohnCena | 14.104.320 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jaketapper | 3.164.632 | Journalist | News, Politics, Journalism |
| @jimcramer | 2.046.007 | TV Host | Stocks, Investing, CNBC |
| @darrenrovell | 1.987.359 | Sports Reporter | Sports Betting, Memorabilia, NFTs |
| @KameronBennett | 1.812.906 | DJ | Music, DJing, Booking |
| @Jev | 1.596.763 | Gamer | Gaming, FaZe Clan, Energy Drinks |
| @Chris_Broussard | 1.437.928 | Sports Analyst | Sports, Media, Activism |
| @RexChapman | 1.255.117 | Commentator | Basketball, Horse racing, Commentary |
| @JDaIey | 1.228.643 | Owner | Esports, Gaming, Sponsorship |
| @WhistleBlitz | 1.155.816 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46.691
Followers With Bio
54.306
Followers Without Bio
46.23%
% With Bio
53.77%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.240 analyzed238.404
Combined Engagement
51.398
Total Likes
187.006
Total Retweets
47.681
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @diialexandria: This is my niece PLEASE RT!!! https://t.co/EMDLOl7kca
Repeat after me.... THE PHILADELPHIA EAGLES ARE WORLD CHAMPIONS!! #FlyEaglesFly
RT @cj_wentz: NFC East Champs! So proud of the resiliency of this team. Such a special group of men. And I greatly appreciate all the pra…
RT @JoelEmbiid: We've had a fun ride ha.. This is the last day to vote so RETWEET this for the culture Joel Embiid #NBAVote
Hallelujah!!! Congratulations Philly!! #HOF2018
Key Insights & Takeaways
He leverages his NFL legacy to connect with fans and maintain relevance. His content is highly celebratory and emotionally charged, which drives engagement. He uses hashtags effectively to amplify his message and reach a broader audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 429.486
- + 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 @BrianDawkins reveals an well-established Twitter presence with 429.486 followers. The account demonstrates a content-creator strategy, averaging 365,9 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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