332,224
Followers
1,205
Following
272
Tweets
715.8
Avg Engagement
1,187
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JamesCorneille'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:2014-11-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:227
- Avg Likes per Tweet:163.5
- Avg Retweets per Tweet:552.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 227 tweetsThe account shows strong engagement with an average of over 1,900 likes per tweet, indicating a highly interactive audience. Retweets also contribute to the account's visibility and reach.
163.5
Avg Likes/Tweet
552.2
Avg Retweets/Tweet
37,122
Total Likes
125,354
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
25
75th Percentile
45,195
Top Tweet
2.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
11.0%
Original
72.7%
Replies
15.9%
Retweets
0.4%
Quotes
0.0%
Threads
0.0%
With Media
7.9%
With Links
3.5%
With #Tags
89.0%
With @Mentions
17.2%
With Emojis
67
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.6
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.5%
Weekday Posts
18.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 227 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 36 retweets (16% 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 227 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 likely includes individuals interested in motivational content, self-improvement, and personal development. The large follower count suggests a broad reach across various demographics.
Good
Audience Quality
14.7%
Suspicion Index
11.7%
Low-Quality %
297
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
19.8%
Empty Bio
6.9%
<10 Tweets
29.1%
Mass Following (>2K)
0.0%
New (<90 days)
17.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
67.5%
No URL
3.5%
<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.
141,073,201
Total Potential Reach
297
Median Follower Reach
974
75th Percentile Reach
24.5%
>1K followers
3.2%
>10K followers
0.7%
>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).
80.0%
Creators
40,020 accounts
13.0%
Consumers
6,517 accounts
6.9%
Dormant
3,463 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):
2,027
Verified Followers
2.01% of total
7,853
Protected Accounts
7.78% of total
8 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 | 14,103,431 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ShehuSani | 3,068,510 | Politician | Human Rights, Author, PanAfricanist |
| @DanaPerino | 2,358,392 | News Anchor | Fox News, Politics, News |
| @liferdefempire | 2,054,247 | - | - |
| @ha2936 | 1,887,839 | Influencer | Love, People, Hate |
| @VictorySitohang | 1,829,660 | TV Host | TV Hosting, Vlogging, Family |
| @KameronBennett | 1,812,783 | DJ | Music, DJing, Booking |
| @AmeyawDebrah | 1,627,108 | Blogger | Entertainment, Lifestyle, Travel |
| @screamau | 1,550,671 | Singer | singer, composer, NFTs |
| @tito_mboweni | 1,475,821 | Politician | Economics, Politics, Agriculture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
76,181
Followers With Bio
24,817
Followers Without Bio
75.43%
% With Bio
24.57%
% 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 227 analyzed115,982
Combined Engagement
6,383
Total Likes
109,599
Total Retweets
23,196
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: https://t.co/ozWk7GxcEu
RT @elonmusk: Tomorrow will be the first sunrise of the rest of ur life – make it what u want
RT @elonmusk: And remember that happiness is a choice
Remember to live https://t.co/FM8YjUnUG7
https://t.co/8B722oA84G
Key Insights & Takeaways
The user focuses on sharing motivational and inspirational content through links. Their top tweets suggest a consistent theme of encouraging and uplifting messages. They have a verified status of 2.0%, indicating a small portion of verified accounts in their network.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 332,224
- + High community engagement through conversations
- + 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 @JamesCorneille reveals an well-established Twitter presence with 332,224 followers. The account demonstrates a conversation-first approach, averaging 715.8 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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