78,741
Followers
1,060
Following
3,186
Tweets
836.3
Avg Engagement
224
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jcolburnlevy'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:2015-05-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:598
- Avg Likes per Tweet:294.2
- Avg Retweets per Tweet:542.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 598 tweetsTheir tweets receive high engagement, with an average of 5,275 likes and 328 retweets per post, indicating a strong and active audience.
294.2
Avg Likes/Tweet
542.1
Avg Retweets/Tweet
175,904
Total Likes
324,192
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
3
Median Retweets
288
75th Percentile
56,681
Top Tweet
10.62
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
18.7%
Original
52.5%
Replies
20.6%
Retweets
8.2%
Quotes
0.0%
Threads
0.3%
With Media
23.1%
With Links
7.5%
With #Tags
77.9%
With @Mentions
16.9%
With Emojis
67
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.8
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.8%
Weekday Posts
19.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 598 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 123 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 598 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 likely includes fans of pop culture, comedy, and those interested in behind-the-scenes entertainment insights. They also engage with a mix of casual and niche interests.
Good
Audience Quality
19.1%
Suspicion Index
19.6%
Low-Quality %
77
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.1%
Empty Bio
11.6%
<10 Tweets
16.1%
Mass Following (>2K)
0.0%
New (<90 days)
43.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.6%
No URL
7.0%
<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.
84,657,199
Total Potential Reach
77
Median Follower Reach
254
75th Percentile Reach
7.4%
>1K followers
1.0%
>10K followers
0.3%
>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).
73.9%
Creators
36,958 accounts
14.5%
Consumers
7,235 accounts
11.6%
Dormant
5,807 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):
1,180
Verified Followers
1.48% of total
11,599
Protected Accounts
14.59% 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 |
|---|---|---|---|
| @jimmyfallon | 50,831,147 | Comedian | Comedy, TV, Music |
| @netflix | 21,711,545 | Entertainment | Cardi B, Netflix, Petition |
| @JohnCena | 14,105,771 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Sethrogen | 9,294,413 | Actor | Movies, Comedy, Cannabis |
| @dylanobrien | 6,186,426 | - | - |
| @BenStiller | 5,610,067 | Actor | UNHCR, Goodwill Ambassador, Refugees |
| @MarkHamill | 5,289,551 | Actor | Star Wars, Believe, Humor |
| @pattonoswalt | 4,675,784 | Comedian | comedy, acting, podcasting |
| @THR | 3,460,474 | Entertainment News | Entertainment, News, Reviews |
| @questlove | 3,378,720 | Musician | music, drums, food |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,436
Followers With Bio
25,068
Followers Without Bio
68.47%
% With Bio
31.53%
% 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 598 analyzed217,007
Combined Engagement
0
Total Likes
217,007
Total Retweets
43,401
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @MidwinCharles: Now do you understand why Republicans suppress Black votes? I hereby declare that the Southern states are not red. They…
RT @melatoninlau: western cultures believe we must be alive for a purpose. to work, to make money. some indigenous cultures believe we're a…
RT @JacobCharlesNC: This is such a jaw-dropping line. https://t.co/715c4t2mtx https://t.co/3BUbI8EKcn
RT @MaddowBlog: Full video: Inaugural poet Amanda Gorman https://t.co/1FF4dfia9h
RT @bubbaprog: Simone Biles, in extreme slow motion. https://t.co/d43PPTg87O
Key Insights & Takeaways
They often blend humor with personal reflections, making their content relatable and engaging. They frequently reference popular media and entertainment, suggesting a deep interest in the industry. They engage with public figures and share personal moments, which helps build a sense of connection with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78,741
- + 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 @jcolburnlevy reveals an well-established Twitter presence with 78,741 followers. The account demonstrates a conversation-first approach, averaging 836.3 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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