Alumni CEO
@ThaAlumni CEO | Proud Dad | #ALIVE Deluxe out now! https://foundation-media.ffm.to/alivedeluxe
213.167
Followers
724
Following
57.405
Tweets
307,4
Avg Engagement
1.427
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DeeJayiLLWiLL'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:2009-04-15
- Verification:No
- Location:Los Angeles
Data Summary
- Tweets Analyzed:3.239
- Avg Likes per Tweet:16,3
- Avg Retweets per Tweet:291,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.239 tweetsDeeJayiLLWiLL's tweets are well-received, with high average likes and retweets, indicating strong audience interaction. Their content often sparks emotional and nostalgic responses from followers.
16,3
Avg Likes/Tweet
291,1
Avg Retweets/Tweet
52.690
Total Likes
942.989
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
13
75th Percentile
193.774
Top Tweet
1,44
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
35,4%
Original
25,3%
Replies
21,4%
Retweets
17,9%
Quotes
0,0%
Threads
0,4%
With Media
43,1%
With Links
9,6%
With #Tags
48,1%
With @Mentions
36,2%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,72
Reply/Original Ratio
0,83
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80,6%
Weekday Posts
19,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.239 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 694 retweets (21% 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 3.239 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 followersTheir audience appears to be music enthusiasts and fans of viral internet moments, particularly those interested in hip-hop and pop culture. The audience is likely active on social media and engaged with trending topics.
Good
Audience Quality
19,7%
Suspicion Index
17,8%
Low-Quality %
100
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26,2%
Empty Bio
18,0%
<10 Tweets
20,2%
Mass Following (>2K)
0,0%
New (<90 days)
36,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
68,3%
No URL
9,5%
<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.
94.017.585
Total Potential Reach
100
Median Follower Reach
329
75th Percentile Reach
8,5%
>1K followers
1,3%
>10K followers
0,4%
>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).
55,3%
Creators
27.646 accounts
26,7%
Consumers
13.344 accounts
18,0%
Dormant
9.010 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):
427
Verified Followers
0.42% of total
9.252
Protected Accounts
9.16% 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 |
|---|---|---|---|
| @JohnCena | 14.100.501 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TreySongz | 13.414.920 | Singer | Music, R&B, Homecoming |
| @steveaoki | 8.117.229 | DJ | Music, DJing, Collaboration |
| @CodySimpson | 6.661.907 | Singer | Music, Surfing, Environmentalism |
| @Vevo | 3.971.510 | Entertainment | Music, Videos, Entertainment |
| @wyclef | 3.730.675 | Musician | music, media, management |
| @6BillionPeople | 2.033.273 | - | - |
| @MarlonWayans | 1.991.844 | Actor | Comedy, Acting, Netflix |
| @KameronBennett | 1.822.584 | DJ | Music, DJing, Booking |
| @DailyLoud | 1.720.437 | Music Blogger | Hip-Hop, Music, Updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70.675
Followers With Bio
30.324
Followers Without Bio
69.98%
% With Bio
30.02%
% 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 3.239 analyzed412.287
Combined Engagement
0
Total Likes
412.287
Total Retweets
82.457
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Rachael_Conrad: https://t.co/L3ymQDesdN
RT @JournalistShay: I'm shaking reading about the discovery of Gabby Petito's body in Wyoming. While we're watching this case unfold, pleas…
RT @ChrisNowinski1: If Tua takes the field tonight, it's a massive step back for #concussion care in the NFL. If he has a 2nd concussion t…
RT @Dodgers: https://t.co/FloR9dBhZj
RT @_shesdarkskiin: Dammmnnn Spring......FIGHT BACK OR SUMN!!!!!!!!!
Key Insights & Takeaways
They leverage nostalgia to connect with fans and maintain engagement. They often reference viral internet moments to stay relevant and relatable. Their content highlights personal and cultural milestones, which resonates with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 213.167
- + 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 @DeeJayiLLWiLL reveals an well-established Twitter presence with 213.167 followers. The account demonstrates a content-creator strategy, averaging 307,4 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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