Joseph Capriati
121,909
Followers
601
Following
15,252
Tweets
115.3
Avg Engagement
555
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @josephcapriati'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:2009-06-17
- Verification:No
- Location:Caserta
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:60.1
- Avg Retweets per Tweet:55.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsHis tweets receive a decent number of likes and retweets, showing moderate engagement. The average interaction suggests a loyal but not extremely active follower base.
60.1
Avg Likes/Tweet
55.1
Avg Retweets/Tweet
192,443
Total Likes
176,393
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
4
Median Retweets
55
75th Percentile
34,257
Top Tweet
0.95
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
34.2%
Original
21.1%
Replies
43.8%
Retweets
0.9%
Quotes
0.0%
Threads
0.2%
With Media
32.9%
With Links
11.0%
With #Tags
70.9%
With @Mentions
32.4%
With Emojis
91
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.62
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 1,403 retweets (44% 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 3,200 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 fans of his tennis career and individuals interested in personal development. The mix of motivational and personal content suggests a broad appeal.
Good
Audience Quality
18.9%
Suspicion Index
23.9%
Low-Quality %
62
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.2%
Empty Bio
21.1%
<10 Tweets
9.7%
Mass Following (>2K)
0.0%
New (<90 days)
36.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.1%
No URL
12.6%
<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.
50,650,420
Total Potential Reach
62
Median Follower Reach
270
75th Percentile Reach
6.5%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
57.0%
Creators
28,516 accounts
21.8%
Consumers
10,924 accounts
21.1%
Dormant
10,560 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):
297
Verified Followers
0.29% of total
11,594
Protected Accounts
11.48% 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 |
|---|---|---|---|
| @MartinGarrix | 8,371,085 | Musician | Music, DJing, Producing |
| @THEBEAT999FM | 2,395,952 | Radio Host | Entertainment, News, Sports |
| @BeatsByAssassin | 2,261,086 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,032,991 | - | - |
| @KameronBennett | 1,823,207 | DJ | Music, DJing, Booking |
| @SpinninRecords | 1,725,240 | Record Label | Music, Memories, Feelings |
| @ScottGShore | 1,430,954 | Reality TV Star | Reality TV, Techno music, MTV |
| @fabiocannavaro | 1,373,960 | Footballer | football, coaching, Italy |
| @MTVMusicUK | 1,272,330 | Entertainment | Music, Entertainment, UK |
| @vernonkay | 1,148,330 | TV Presenter | TV presenter, Radio host, Football fan |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,946
Followers With Bio
38,053
Followers Without Bio
62.32%
% With Bio
37.68%
% 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 3,200 analyzed97,158
Combined Engagement
8,480
Total Likes
88,678
Total Retweets
19,432
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @Parklifefest: Welcome to Parklife 2017 RT to win 4x VIP guestlist… Pre-sale tickets: 9am Wednesday General sale: 9am Thursday https…
RT @Parklifefest: Parklife 2018 revealed... RT for the chance to win 4x VIP Weekend tickets – On sale Thursday 9am sharp! https://t.co/4…
RT @Parklifefest: Welcome to Parklife 2019... Tag 3 mates & retweet for x4 VIP Guestlist. Pre-sale Thursday 9am. General Sale Friday 9am…
Fuerza Colombia 🇨🇴💪
RT @Parklifefest: PARKLIFE 2021 IS HERE 🥳 @ tag 3 mates & RETWEET for your chance to win x4 weekend VIP tickets 😍 🎁 Pre-sale 10am Wednesd…
Key Insights & Takeaways
He frequently shares motivational and emotional messages, indicating a focus on personal connection. His content includes references to music and raves, suggesting an interest in nightlife and entertainment. He often expresses gratitude and a sense of community, which may foster a loyal following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 121,909
- + 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 @josephcapriati reveals an well-established Twitter presence with 121,909 followers. The account demonstrates a content-creator strategy, averaging 115.3 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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