DEVIN WHITE
#GetLiveGang #InstaGram-DEVINWHITE_40
113,442
Followers
183
Following
3,377
Tweets
728.7
Avg Engagement
259
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DevinWhite__40'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:2011-06-09
- Verification:No
- Location:Tampa, FL
Data Summary
- Tweets Analyzed:2,676
- Avg Likes per Tweet:542.7
- Avg Retweets per Tweet:186.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,676 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The use of multimedia links suggests he aims to drive traffic to external content.
542.7
Avg Likes/Tweet
186.1
Avg Retweets/Tweet
1,452,189
Total Likes
497,876
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
259
75th Percentile
75,522
Top Tweet
6.42
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
58.1%
Original
11.8%
Replies
23.7%
Retweets
6.5%
Quotes
0.0%
Threads
0.0%
With Media
25.1%
With Links
22.5%
With #Tags
41.2%
With @Mentions
17.9%
With Emojis
48
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.7%
Weekday Posts
26.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,676 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 634 retweets (24% 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 2,676 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 10,000 followersHis audience appears to be fans of his brand and followers of his social media presence. They are likely interested in sports, religion, and entertainment.
Average
Audience Quality
27.6%
Suspicion Index
34.3%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.7%
Empty Bio
31.4%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
59.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
20.9%
<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.
23,084,791
Total Potential Reach
24
Median Follower Reach
113
75th Percentile Reach
4.1%
>1K followers
0.6%
>10K followers
0.2%
>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).
45.2%
Creators
4,516 accounts
23.4%
Consumers
2,340 accounts
31.4%
Dormant
3,144 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):
142
Verified Followers
1.42% of total
839
Protected Accounts
8.39% 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 | 14,093,709 | Wrestler | Wrestling, Motivation, Self-promotion |
| @PFF | 1,254,516 | Sports Analyst | NFL, NCAA, Analytics |
| @WhistleBlitz | 1,147,925 | - | - |
| @iamjennashea | 644,018 | Adult Entertainer | Fans, Money, Shooting |
| @J_Green37 | 530,929 | Soccer Player | Soccer, Sports, Athlete |
| @uninterrupted | 474,517 | Athlete Empowerment | Athlete empowerment, Brand founders, MoreThanAnAthlete |
| @zammit_marc | 386,567 | Filmmaker | Film, Acting, Producing |
| @19problemz | 252,798 | Athlete | Football, Fitness, Motivation |
| @JosinaAnderson | 241,905 | Sports Journalist | Sports, Journalism, Television |
| @CoachBrianKelly | 234,878 | Football Coach | Football, Graduation, National Championship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,231
Followers With Bio
4,769
Followers Without Bio
52.31%
% With Bio
47.69%
% 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 2,676 analyzed258,154
Combined Engagement
79,809
Total Likes
178,345
Total Retweets
51,631
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @TomBrady: ❤️ https://t.co/B3KKl7DFk3
RT @TomBrady: W https://t.co/hJiw8HIy8N
RT @Edoliver_11: Now y’all go back and read this article knowing that all my blood work came back clean!!!but I had a beer can between my legs get the f*** out of here how does a 5’8 officer se inside a window above his head anyway 🤔 how do 5 cop cars show up before I take a sobr
We World Champions !!! #GETLIVE45
DAMN THEY JUST GAVE MY SHII AWAY 😂😂😂😂😂 GUESS ILL ROCK THAT 5 🤠 https://t.co/w2c4tx02th
Key Insights & Takeaways
He leverages hashtags and emojis to increase visibility and engagement. His content often blends personal achievements with religious themes. He uses multimedia links to direct followers to additional content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 113,442
- + 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 @DevinWhite__40 reveals an well-established Twitter presence with 113,442 followers. The account demonstrates a content-creator strategy, averaging 728.7 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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