11389
Followers
186
Following
913
Tweets
5117,2
Avg Engagement
74
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @charliekolar_'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:2014-01-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:846
- Avg Likes per Tweet:109,4
- Avg Retweets per Tweet:5007,8
- Followers Analyzed:11251
Engagement Analysis
Based on 846 tweetsThe account has a strong average engagement rate, suggesting a dedicated and interactive audience. The top tweets highlight personal achievements and team successes, which likely drive higher interaction.
109,4
Avg Likes/Tweet
5007,8
Avg Retweets/Tweet
92541
Total Likes
4236577
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
9
Median Retweets
235
75th Percentile
1951355
Top Tweet
449,31
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
13,0%
Original
8,3%
Replies
71,3%
Retweets
7,4%
Quotes
0,0%
Threads
0,8%
With Media
68,4%
With Links
30,1%
With #Tags
83,6%
With @Mentions
28,7%
With Emojis
112
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,64
Reply/Original Ratio
0,1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66,4%
Weekday Posts
33,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 846 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 603 retweets (71% 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 846 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 11251 followersHis followers likely include sports fans, particularly those interested in the Baltimore Ravens and college football. The audience may also be engaged with university-related content, given his mention of Iowa State.
Good
Audience Quality
16,6%
Suspicion Index
24,0%
Low-Quality %
87
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40,3%
Empty Bio
12,9%
<10 Tweets
9,5%
Mass Following (>2K)
0,0%
New (<90 days)
32,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
88,7%
No URL
7,7%
<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.
30721226
Total Potential Reach
87
Median Follower Reach
269
75th Percentile Reach
6,6%
>1K followers
1,1%
>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).
69,4%
Creators
7810 accounts
17,7%
Consumers
1994 accounts
12,9%
Dormant
1447 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):
111
Verified Followers
0.99% of total
1411
Protected Accounts
12.54% 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 | 14106726 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201294 | - | - |
| @Ravens | 1844651 | Sports Team | football, community, promotions |
| @CoachSchuman | 589457 | Football Coach | Football, Recruiting, Motivation |
| @JasonLaCanfora | 493670 | Sports Reporter | dogs, reporting, radio |
| @CFBONFOX | 453556 | Sports Media | College Football, FOX Sports, App |
| @CollegeGirIProb | 407313 | Student | Procrastination, Coffee, Memes |
| @BruceFeldmanCFB | 370522 | Reporter | College Football, Sports Reporting, Writing |
| @BFW | 272445 | Security Analyst | Sports, Comedy, Barstool Sports |
| @robtswthrayguns | 259951 | Inventor | synthwave, NFT, NSFW |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6717
Followers With Bio
4534
Followers Without Bio
59.7%
% With Bio
40.3%
% 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 846 analyzed2516216
Combined Engagement
0
Total Likes
2516216
Total Retweets
503243
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @AmandiOnAir: A tale of two Presidential intern pics. https://t.co/I2jvqmZ9eE
RT @honeyrainfall: "name one time Trump was racist," Okay, I will 1973: The Nixon administration sued Trump for refusing to rent to black people. 1980s: Trump's casinos were accused of hiding the black staff when Trump visited.
RT @Lakers: JOB'S FINISHED: YOUR LOS ANGELES LAKERS ARE NBA CHAMPIONS https://t.co/Dnxtgt9i1d
RT @DogecoinRise: If You Own #dogecoin Hit That Retweet. Let’s Get It To .50¢
Key Insights & Takeaways
The user frequently shares personal milestones and team victories, which may indicate a focus on personal branding and team loyalty. The top tweets include links, suggesting a strategy to drive traffic or promote specific content. The verified status is low, which could mean the account is not officially affiliated with any organization.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 11389
- + 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 @charliekolar_ reveals an exceptionally influential Twitter presence with 11389 followers. The account demonstrates a content-creator strategy, averaging 5117,2 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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