Taylor Freeman
Anchor @KOMUNews (M-F Noon & W-F 5pm) #MizzouMade She/They Insta: freezyfilms
10,866
Followers
668
Following
4,829
Tweets
1,801.6
Avg Engagement
20
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @taytayfree'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:2010-06-02
- Verification:No
- Location:Columbia, Missouri
Data Summary
- Tweets Analyzed:3,106
- Avg Likes per Tweet:52.0
- Avg Retweets per Tweet:1,749.6
- Followers Analyzed:11,121
Engagement Analysis
Based on 3,106 tweetsTheir tweets typically receive high engagement, with an average of 841 likes and 254 retweets. The content often prompts strong reactions and discussions, especially on political and social issues.
52.0
Avg Likes/Tweet
1,749.6
Avg Retweets/Tweet
161,389
Total Likes
5,434,402
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
112
75th Percentile
423,512
Top Tweet
165.8
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
50.9%
Original
29.6%
Replies
15.6%
Retweets
4.0%
Quotes
0.0%
Threads
0.9%
With Media
27.0%
With Links
6.8%
With #Tags
54.8%
With @Mentions
25.5%
With Emojis
87
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
0.25
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 3,106 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 483 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 3,106 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 11,121 followersTaytayfree's audience is primarily interested in news, politics, and social justice, with a focus on marginalized communities. They are active on Twitter and engage with a mix of news consumers and socially conscious individuals.
Good
Audience Quality
15.1%
Suspicion Index
19.7%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.0%
Empty Bio
13.2%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
32.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.9%
No URL
7.5%
<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.
29,857,595
Total Potential Reach
68
Median Follower Reach
214
75th Percentile Reach
4.3%
>1K followers
0.7%
>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).
68.5%
Creators
7,623 accounts
18.3%
Consumers
2,031 accounts
13.2%
Dormant
1,467 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):
99
Verified Followers
0.89% of total
2,300
Protected Accounts
20.68% 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 |
|---|---|---|---|
| @JohnCena | 14,106,758 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,274 | - | - |
| @AmericanAir | 1,651,065 | Airline | Customer service, Travel, Aviation |
| @quintabrunson | 834,441 | - | - |
| @unkonfined | 657,880 | Influencer | - |
| @shanemadej | 537,805 | Content Creator | Windhunter, Hot Dogs, Puppets |
| @IamMzilikazi | 535,452 | Musician | Pan-African music, Album, Rise |
| @TheRickyDavila | 401,690 | Singer-Songwriter | Music, Politics, Food |
| @mikeallen | 391,253 | Journalist | Politics, Media, News |
| @robtswthrayguns | 259,951 | Inventor | synthwave, NFT, NSFW |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,557
Followers With Bio
3,564
Followers Without Bio
67.95%
% With Bio
32.05%
% 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 3,106 analyzed1,126,039
Combined Engagement
0
Total Likes
1,126,039
Total Retweets
225,208
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @jourdaindong: Bill Nye not the same Bill Nye we used to know 💀 https://t.co/LgKef8E4vG
RT @realDonaldTrump: Are you allowed to impeach a president for gross incompetence?
RT @verygooster: every woman in this pic tho https://t.co/6Y2SvY4YlU
RT @jimmykimmel: We mashed up @BarackObama’s Bin Laden speech with @RealDonaldTrump’s al-Baghdadi speech, and the results are amazing https://t.co/Z8yfxSYWLd
RT @Stranger_Things: Darkness falls across the land… Here is the first trailer for #StrangerThings2. https://t.co/534mDf1Os2
Key Insights & Takeaways
Taytayfree often highlights the hypocrisy and divisiveness in political discourse. They use personal experiences and public figures to make broader social commentary. Their content encourages critical thinking and awareness of systemic issues.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,866
- + 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 @taytayfree reveals an exceptionally influential Twitter presence with 10,866 followers. The account demonstrates a content-creator strategy, averaging 1,801.6 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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