David Correy
For Serious Inquires/Bookings: davidcorreyurbanrock@gmail.com or (310) 562-1710
173,094
Followers
26,319
Following
155,923
Tweets
174.4
Avg Engagement
575
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @davidcorrey'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:2009-03-10
- Verification:No
- Location:URBAN ROCK RECORDS
Data Summary
- Tweets Analyzed:3,191
- Avg Likes per Tweet:10.7
- Avg Retweets per Tweet:163.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,191 tweetsHis tweets are well-received, with a consistent average of likes and retweets, indicating a loyal and active audience. He frequently interacts with other public figures, such as Meek Mill, which boosts his visibility and engagement.
10.7
Avg Likes/Tweet
163.7
Avg Retweets/Tweet
34,127
Total Likes
522,292
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
3
Median Retweets
23
75th Percentile
34,862
Top Tweet
1.01
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
61.3%
Original
2.2%
Replies
25.9%
Retweets
10.6%
Quotes
0.0%
Threads
0.0%
With Media
43.8%
With Links
12.5%
With #Tags
30.9%
With @Mentions
85.2%
With Emojis
84
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,191 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 828 retweets (26% 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 3,191 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 audience appears to be interested in personal development, motivational content, and social justice issues. They engage with his messages on self-improvement and real-life challenges.
Average
Audience Quality
21.8%
Suspicion Index
26.4%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.8%
Empty Bio
18.8%
<10 Tweets
6.1%
Mass Following (>2K)
0.0%
New (<90 days)
54.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.3%
No URL
10.0%
<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.
128,479,118
Total Potential Reach
32
Median Follower Reach
169
75th Percentile Reach
5.8%
>1K followers
1.3%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
50.0%
Creators
24,981 accounts
31.2%
Consumers
15,621 accounts
18.8%
Dormant
9,398 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):
172
Verified Followers
0.17% of total
9,219
Protected Accounts
9.13% of total
11 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 | 14,100,539 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Camila_Cabello | 13,043,004 | Singer | Music, Humanitarian, Fashion |
| @carlosvives | 5,310,365 | Musician | Music, Cumbia, Colombia |
| @BethanyMota | 4,644,336 | Influencer | Fashion, Beauty, Lifestyle |
| @iambeckyg | 4,392,637 | Singer | Beauty, Music, Entrepreneur |
| @LaurenJauregui | 4,283,655 | Musician | artist, writer, singer |
| @Vevo | 3,971,637 | Entertainment | Music, Videos, Entertainment |
| @wyclef | 3,730,847 | Musician | music, media, management |
| @scooterbraun | 3,597,944 | Music Manager | Music, Philanthropy, Entertainment |
| @Normani | 3,386,676 | Singer | Music, Dance, Fashion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,388
Followers With Bio
38,611
Followers Without Bio
61.77%
% With Bio
38.23%
% 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 3,191 analyzed147,802
Combined Engagement
0
Total Likes
147,802
Total Retweets
29,560
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @micfeel__: I can no longer pour into cups that do not pour into mine.
RT @MeekMill: Being around the wrong environment and wrong people will make you forget your worth! Stay focused
RT @lildurk: Stop hating it’s not going to get you far
RT @Wale: Imma ride for who my heart say ride for ...forever
RT @gucci1017: Losses are lessons!
Key Insights & Takeaways
His content emphasizes self-awareness and personal responsibility. He often uses motivational language to inspire his followers. He maintains a balance between personal reflection and public engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 173,094
- + 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 @davidcorrey reveals an well-established Twitter presence with 173,094 followers. The account demonstrates a content-creator strategy, averaging 174.4 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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