Daylon Mack
Former NFL Player! Sponsored Flesh and Blood player! VGC Player! Team KayFabeCards! #Protagonist #MarriedMan
25,325
Followers
545
Following
8,715
Tweets
795.9
Avg Engagement
142
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DaylonMack'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:2013-05-13
- Verification:No
- Location:Whole Cake Island
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:15.9
- Avg Retweets per Tweet:780.0
- Followers Analyzed:25,673
Engagement Analysis
Based on 597 tweetsHis tweets typically receive around 413 likes and 14 retweets on average, indicating a moderate level of engagement. The content that resonates most is personal and sports-related.
15.9
Avg Likes/Tweet
780.0
Avg Retweets/Tweet
9,491
Total Likes
465,655
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
15
75th Percentile
116,717
Top Tweet
31.43
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
32.5%
Original
5.2%
Replies
23.1%
Retweets
39.2%
Quotes
0.0%
Threads
0.0%
With Media
47.6%
With Links
4.4%
With #Tags
32.8%
With @Mentions
23.5%
With Emojis
96
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
1.7
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
66.0%
Weekday Posts
34.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 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 138 retweets (23% 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 597 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 25,673 followersHis audience includes sports fans, particularly college football enthusiasts, and individuals interested in personal stories from athletes. They are likely engaged with both his personal and professional content.
Average
Audience Quality
20.6%
Suspicion Index
31.2%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.7%
Empty Bio
23.0%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
36.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.7%
No URL
16.7%
<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.
29,855,650
Total Potential Reach
69
Median Follower Reach
252
75th Percentile Reach
6.0%
>1K followers
1.0%
>10K followers
0.3%
>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).
60.7%
Creators
15,572 accounts
16.3%
Consumers
4,194 accounts
23.0%
Dormant
5,907 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):
340
Verified Followers
1.32% of total
3,083
Protected Accounts
12.01% of total
9 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 |
|---|---|---|---|
| @BeatsByAssassin | 2,266,208 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,038,001 | - | - |
| @JManziel2 | 1,893,058 | Athlete | Football, Good vibes |
| @SInow | 1,859,047 | Sports Media | Sports, TikTok, Instagram |
| @LILBTHEBASEDGOD | 1,250,148 | Rapper | Music, Writing, Film |
| @rolandsmartin | 697,884 | Host | hosting, CEO, commentator |
| @PleasureEllis | 686,500 | Entertainer | Music, Transformation, Celebration |
| @TayeDiggs | 648,409 | Actor | acting, chocolate, hosting |
| @MelissaJoanHart | 631,958 | Actress | Family, Acting, Motherhood |
| @K1 | 371,888 | Athlete | Football, Baseball, Athlete |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,928
Followers With Bio
11,745
Followers Without Bio
54.25%
% With Bio
45.75%
% 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 597 analyzed346,012
Combined Engagement
0
Total Likes
346,012
Total Retweets
69,202
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @HamlinIsland: Putting love into the world comes back 3xs as much… thankful for everyone who has reached out and prayed. This will make…
RT @Pokemon: He's done it! Ash has become a World Champion! 🏆🎉 https://t.co/a2jPb8pym3
RT @BuffaloBills: https://t.co/4Fyd2JZVLb
RT @BuffaloBills: Damar Hamlin FaceTimed into our team meeting today to talk to players and coaches. What he said to the team: “Love you b…
RT @lenoriegaa: Who was in Paris?
Key Insights & Takeaways
He leverages his personal life, such as his marriage, to connect with followers and build a relatable image. His sports content often focuses on college football, especially SEC teams and coaching perspectives. He uses humor and relatability to engage his audience, particularly when discussing competitive sports scenarios.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 25,325
- + 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 @DaylonMack reveals an well-established Twitter presence with 25,325 followers. The account demonstrates a content-creator strategy, averaging 795.9 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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