J Rockit
‘Moments’ the Album Coming Soon
74,574
Followers
41,703
Following
17,058
Tweets
19.8
Avg Engagement
626
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JoeyDiggsJr'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:2009-07-24
- Verification:No
- Location:The Valley, Los Angeles
Data Summary
- Tweets Analyzed:3,134
- Avg Likes per Tweet:1.8
- Avg Retweets per Tweet:18.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,134 tweetsJoey's tweets typically receive moderate engagement, with an average of 31 likes and 77 retweets. His content often sparks conversations and emotional responses from followers.
1.8
Avg Likes/Tweet
18.0
Avg Retweets/Tweet
5,679
Total Likes
56,489
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
6
75th Percentile
31,340
Top Tweet
0.27
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
56.3%
Original
37.1%
Replies
6.5%
Retweets
0.0%
Quotes
0.0%
Threads
0.1%
With Media
42.0%
With Links
40.7%
With #Tags
76.8%
With @Mentions
1.3%
With Emojis
91
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.66
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.3%
Weekday Posts
21.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,134 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 205 retweets (7% 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 3,134 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 a mix of music enthusiasts and fans of his personal journey. Many seem to appreciate his authenticity and emotional storytelling.
Good
Audience Quality
18.7%
Suspicion Index
24.4%
Low-Quality %
107
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.8%
Empty Bio
23.7%
<10 Tweets
14.8%
Mass Following (>2K)
0.0%
New (<90 days)
25.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.8%
No URL
15.0%
<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.
94,219,005
Total Potential Reach
107
Median Follower Reach
423
75th Percentile Reach
13.6%
>1K followers
4.0%
>10K followers
2.0%
>50K followers
1.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55.7%
Creators
5,571 accounts
20.6%
Consumers
2,057 accounts
23.7%
Dormant
2,372 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):
68
Verified Followers
0.68% of total
900
Protected Accounts
9.0% 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 | 14,097,227 | Wrestler | Wrestling, Motivation, Self-promotion |
| @benlandis | 2,829,464 | - | - |
| @ItsJoshPeck | 2,493,201 | Actor | Podcast, Management, Email |
| @NatbyNature | 2,469,323 | Wrestler | WWE, wrestling, Nattie |
| @dinahjane | 2,390,766 | Singer | Music, Fashion, Beauty |
| @AlfredoFlores | 2,372,729 | Director/Photographer | Director, Photographer, Business |
| @6BillionPeople | 2,019,195 | - | - |
| @KameronBennett | 1,814,151 | DJ | Music, DJing, Booking |
| @SiriouslySusan | 1,763,085 | Voice Actor | Voice acting, singing, speaking |
| @toddcarey | 1,678,115 | Musician | Music, Collaboration, Community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,623
Followers With Bio
3,377
Followers Without Bio
66.23%
% With Bio
33.77%
% 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 3,134 analyzed45,787
Combined Engagement
0
Total Likes
45,787
Total Retweets
9,157
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @NiallOfficial: HELL YEAHHH !
RT @LakersNation: Steve Nash, Kobe Bryant, Ron Ron, Pau Gasol and Dwight Howard. That's not a bad starting five.
RT @FactsOfSchool: Friend: Hey, what movie are you gonna watch? Me: Snakes On A Plane... Friend: Really? Whats it about? Me: Horses, Horses on a boat...
RT @FactsOfSchool: *Types in password* Incorrect password *Types in password again* Incorrect password! ARE U FRIGGIN KIDDING ME THAT IS MY- Oh..Caps Lock
RT @FactsOfSchool: Cartoons just aren't the same anymore
Key Insights & Takeaways
Joey frequently shares personal and emotional moments, which resonate with his audience. He uses humor and nostalgia to connect with fans, especially through references to popular culture like Dance Moms. His tweets often highlight gratitude and the support of his community, which strengthens fan loyalty.
Strengths
- + Established follower base of 74,574
- + 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 @JoeyDiggsJr reveals an growing Twitter presence with 74,574 followers. The account demonstrates a content-creator strategy, averaging 19.8 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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