642,033
Followers
2,134
Following
8,291
Tweets
1,696.4
Avg Engagement
637
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itsjojosiwa'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:2012-11-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,184
- Avg Likes per Tweet:1,168.1
- Avg Retweets per Tweet:528.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,184 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction and popularity.
1,168.1
Avg Likes/Tweet
528.2
Avg Retweets/Tweet
3,719,385
Total Likes
1,681,844
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
29
Median Retweets
556
75th Percentile
1,266,280
Top Tweet
2.64
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
28.7%
Original
9.0%
Replies
56.5%
Retweets
5.8%
Quotes
0.0%
Threads
0.3%
With Media
52.8%
With Links
21.1%
With #Tags
73.4%
With @Mentions
38.5%
With Emojis
110
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,184 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 1,799 retweets (57% 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 3,184 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 followersThe audience appears to be a mix of fans and followers interested in entertainment, celebrity news, and personal updates.
Average
Audience Quality
23.2%
Suspicion Index
27.0%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.0%
Empty Bio
23.7%
<10 Tweets
8.9%
Mass Following (>2K)
0.0%
New (<90 days)
54.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
15.1%
<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.
57,540,550
Total Potential Reach
18
Median Follower Reach
107
75th Percentile Reach
3.8%
>1K followers
0.4%
>10K followers
0.1%
>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).
52.8%
Creators
26,410 accounts
23.5%
Consumers
11,750 accounts
23.7%
Dormant
11,840 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):
558
Verified Followers
0.55% of total
11,046
Protected Accounts
10.94% of total
5 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 |
|---|---|---|---|
| @billboard | 14,104,497 | Media | music, charts, news |
| @WWE | 13,178,426 | Wrestling | wrestling, entertainment, fans |
| @MTVNEWS | 5,004,353 | Entertainment | Entertainment, News, Social |
| @jakepaul | 4,596,506 | Boxer | Boxing, Influencer, Content Creator |
| @Vevo | 3,975,971 | Entertainment | Music, Videos, Entertainment |
| @eentertainment | 3,528,972 | Entertainment | TV, Celebrities, News |
| @StephMcMahon | 3,276,942 | Wrestling Executive | WWE, philanthropy, fitness |
| @mikethemiz | 3,219,700 | Wrestler | Wrestling, MizAndMrs, PeacockTV |
| @JENNIWOWW | 3,026,553 | Influencer | Tanning, Mama, YouTube |
| @lizakoshy | 2,641,706 | Content Creator | comedy, fashion, activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,171
Followers With Bio
37,828
Followers Without Bio
62.55%
% With Bio
37.45%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,184 analyzed2,980,482
Combined Engagement
1,709,847
Total Likes
1,270,635
Total Retweets
596,096
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
My cousin got me a new shirt https://t.co/DuHhgRto7b
RT @RyanSesselman: She’s tough. But she’s worth it https://t.co/iBg7XMQdhL
@bts_bighit 🌟 7 legends. https://t.co/803Jf6NYrq
More than just a pic… it was a video!!! @bts_bighit 🌟🌟 REMINDER THAT VOTING FOR DWTS IS OPEN NOW!! Text JOJO to 21523 ten times to vote for us to WIN THE MIRROR BAL!!! https://t.co/AC2oIzKQor
RT @itsjojosiwa: @bts_bighit 🌟 7 legends. https://t.co/803Jf6NYrq
Key Insights & Takeaways
The user frequently shares personal experiences and milestones, which resonate well with their audience. They engage with celebrities and brands, which likely contributes to their high visibility and follower count. Their content is casual and relatable, fostering a sense of community and connection with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 642,033
- + 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 @itsjojosiwa reveals an exceptionally influential Twitter presence with 642,033 followers. The account demonstrates a content-creator strategy, averaging 1,696.4 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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