17,645
Followers
114
Following
10,082
Tweets
5,624.7
Avg Engagement
44
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JayD__5'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:2014-07-22
- Verification:No
- Location:San Bernardino, CA
Data Summary
- Tweets Analyzed:581
- Avg Likes per Tweet:93.1
- Avg Retweets per Tweet:5,531.6
- Followers Analyzed:17,167
Engagement Analysis
Based on 581 tweetsJayD__5's tweets receive an average of 3,056 likes and 352 retweets, indicating a loyal and active audience. His content is well-received and frequently shared within his community.
93.1
Avg Likes/Tweet
5,531.6
Avg Retweets/Tweet
54,110
Total Likes
3,213,864
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
86
Median Retweets
1,157
75th Percentile
1,949,813
Top Tweet
318.77
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
7.7%
Original
4.5%
Replies
75.7%
Retweets
12.0%
Quotes
0.0%
Threads
0.2%
With Media
53.5%
With Links
17.6%
With #Tags
85.7%
With @Mentions
43.5%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 581 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 440 retweets (76% 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 581 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 17,167 followersHis followers likely include LSU fans, sports enthusiasts, and individuals interested in college football. The audience appears to appreciate humor, team spirit, and casual content.
Good
Audience Quality
15.0%
Suspicion Index
16.7%
Low-Quality %
173
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.0%
Empty Bio
7.9%
<10 Tweets
17.3%
Mass Following (>2K)
0.0%
New (<90 days)
26.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.5%
No URL
4.3%
<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.
33,282,275
Total Potential Reach
173
Median Follower Reach
475
75th Percentile Reach
12.2%
>1K followers
2.2%
>10K followers
0.5%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
78.9%
Creators
13,546 accounts
13.2%
Consumers
2,264 accounts
7.9%
Dormant
1,357 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):
490
Verified Followers
2.85% of total
1,866
Protected Accounts
10.87% of total
8 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 |
|---|---|---|---|
| @benlandis | 2,852,451 | - | - |
| @mortreport | 2,217,708 | Sports Journalist | Jesus, Family, Cancer |
| @SiriouslySusan | 1,778,340 | Voice Actor | Voice acting, singing, speaking |
| @soledadobrien | 1,320,031 | Journalist | working, mom, journalist |
| @WhistleBlitz | 1,157,457 | - | - |
| @LSUfootball | 959,545 | Football | Football, Champions, GeauxTigers |
| @CoachSchuman | 589,144 | Football Coach | Football, Recruiting, Motivation |
| @CFBONFOX | 453,866 | Sports Media | College Football, FOX Sports, App |
| @Realrclark25 | 415,139 | Entrepreneur | Family, Faith, Entrepreneurship |
| @JoeyMulinaro | 365,585 | Impressionist | Sports, Comedy, Parody |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,183
Followers With Bio
4,984
Followers Without Bio
70.97%
% With Bio
29.03%
% 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 581 analyzed2,277,217
Combined Engagement
0
Total Likes
2,277,217
Total Retweets
455,443
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @KingJames: If you still haven’t figured out why the protesting is going on. Why we’re acting as we are is because we are simply F-N tir…
RT @thegreatkhalid: #BlackLivesMatter today, yesterday, tomorrow, forever.
RT @SupremeDreams_1: How Lebron Was In the Bubble after they lost game 1 against the Trail Blazers 🤣🤦🏾♂️🏀 https://t.co/rNwnaJJvIR
RT @lilbaby4PF: Hard Times Make You Or Break You !
Key Insights & Takeaways
His use of LSU chants and team spirit is a key part of his identity He frequently shares memes and humorous content to engage his audience His verified status and consistent posting suggest a dedicated fan base
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 17,645
- + 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 @JayD__5 reveals an exceptionally influential Twitter presence with 17,645 followers. The account demonstrates a content-creator strategy, averaging 5,624.7 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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