Dion Dawkins
Left Tackle - @BuffaloBills 2x Pro Bowler #YouAlreadyShnow Instagram - @JerzeyStar
125,108
Followers
493
Following
2,218
Tweets
433.9
Avg Engagement
318
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DDawkins66'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:2013-11-06
- Verification:No
- Location:Miami Beach, FL
Data Summary
- Tweets Analyzed:2,120
- Avg Likes per Tweet:357.6
- Avg Retweets per Tweet:76.3
- Followers Analyzed:10,999
Engagement Analysis
Based on 2,120 tweetsDDawkins66's tweets receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared, suggesting a loyal and active fan base.
357.6
Avg Likes/Tweet
76.3
Avg Retweets/Tweet
758,103
Total Likes
161,836
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
132
75th Percentile
53,733
Top Tweet
3.47
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
27.4%
Original
27.6%
Replies
30.9%
Retweets
14.1%
Quotes
0.0%
Threads
0.4%
With Media
51.2%
With Links
38.6%
With #Tags
67.8%
With @Mentions
50.1%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,120 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 656 retweets (31% 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 2,120 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 10,999 followersHis followers are likely sports fans, particularly those interested in NFL and Buffalo Bills, as well as individuals who appreciate personal stories and community engagement. The audience is also interested in social media interactions and real-time updates.
Average
Audience Quality
31.6%
Suspicion Index
44.7%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.3%
Empty Bio
45.0%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
59.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.1%
No URL
31.1%
<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.
19,096,566
Total Potential Reach
12
Median Follower Reach
63
75th Percentile Reach
2.5%
>1K followers
0.4%
>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).
31.2%
Creators
3,437 accounts
23.7%
Consumers
2,607 accounts
45.0%
Dormant
4,955 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):
102
Verified Followers
0.93% of total
959
Protected Accounts
8.72% of total
4 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 | 14,093,614 | Wrestler | Wrestling, Motivation, Self-promotion |
| @zammit_marc | 386,565 | Filmmaker | Film, Acting, Producing |
| @EsfandTV | 368,274 | Streamer | Gaming, Shows, OTKnetwork |
| @DeAnna4Congress | 289,936 | Politician | Politics, Author, MAGA |
| @joethomas73 | 280,658 | Athlete | Fathering, Interviews, Appearances |
| @TaylorLewan77 | 217,951 | Athlete | Football, Titans, Michigan |
| @Schultz_Report | 203,433 | Sports Analyst | Sports, Analysis, Podcasts |
| @AlcanderLoyola | 186,625 | - | - |
| @jasrifootball | 146,969 | Sports Journalist | NFL, Breaking News, Original Reporting |
| @DanielKlatt | 146,194 | Entrepreneur | Giveaway, Partner, Founder |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,585
Followers With Bio
6,414
Followers Without Bio
41.69%
% With Bio
58.31%
% 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 2,120 analyzed194,404
Combined Engagement
129,461
Total Likes
64,943
Total Retweets
38,881
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
RT @RSherman_25: A lion doesn't concern himself with the opinions of a sheep.
#DennyKellington WE Thank you. #DamarHamlinStrong ❤️3 https://t.co/e5gTvDqTH0
Denny Kellington let’s praise this name and person for reviving Our Brother Damar on the field. Denny gave CPR and chest compressions to get his Heart Back Beating #DennyKellington And also thank you to all the doctors and Medical professionals that have helped and assisted ❤️❤️3
Prayer is power and Prayer is POWERFUL we need the world to pray for Damar Hamlin and his family #Love #3
Buffalo thank you for a hell of a season. You guys (The Mafia) has been like no other from the start. We lost to a great team but believe me The Buffalo Bills will come back stronger then no other. Love You #BillsMafia and, Love you #Buffalo .. ShnowMan #Out ☃️✌🏽
Key Insights & Takeaways
DDawkins66 uses his platform to highlight personal achievements and community support. He frequently shares heartfelt messages, especially around significant events or personal milestones. His engagement metrics show a dedicated and responsive audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 125,108
- + High community engagement through conversations
- + 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 @DDawkins66 reveals an well-established Twitter presence with 125,108 followers. The account demonstrates a conversation-first approach, averaging 433.9 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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