Taylor J
NEW ALBUM SOON !!! IG: TaylorJTakeover #Takeooovvveeerrr
106,487
Followers
89,687
Following
154,365
Tweets
396.3
Avg Engagement
196
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TaylorJTakeover'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:2010-01-30
- Verification:No
- Location:St Paul / Rondo
Data Summary
- Tweets Analyzed:3,146
- Avg Likes per Tweet:229.9
- Avg Retweets per Tweet:166.4
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,146 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The consistent engagement suggests a loyal fan base that values their content and updates.
229.9
Avg Likes/Tweet
166.4
Avg Retweets/Tweet
723,319
Total Likes
523,375
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
4
Median Retweets
89
75th Percentile
32,672
Top Tweet
3.72
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
48.1%
Original
2.2%
Replies
47.4%
Retweets
2.4%
Quotes
0.0%
Threads
0.0%
With Media
39.4%
With Links
8.3%
With #Tags
54.5%
With @Mentions
49.1%
With Emojis
62
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.8%
Weekday Posts
27.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,146 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 1,491 retweets (47% 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 3,146 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 10,999 followersThe audience appears to be primarily young and interested in music, with a strong presence of fans who engage regularly with their tweets. They are likely drawn to personal and heartfelt content.
Average
Audience Quality
20.8%
Suspicion Index
17.7%
Low-Quality %
146
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.1%
Empty Bio
16.7%
<10 Tweets
27.7%
Mass Following (>2K)
0.0%
New (<90 days)
35.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.3%
No URL
10.2%
<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.
13,720,691
Total Potential Reach
146
Median Follower Reach
509
75th Percentile Reach
13.3%
>1K followers
1.3%
>10K followers
0.3%
>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).
63.0%
Creators
6,924 accounts
20.3%
Consumers
2,233 accounts
16.7%
Dormant
1,842 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):
174
Verified Followers
1.58% of total
739
Protected Accounts
6.72% of total
3 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 |
|---|---|---|---|
| @miguelhotero | 1,932,065 | Journalist | Politics, Journalism, Leadership |
| @noelitoflow | 476,624 | Inspirational Speaker | God, Jesus, Purpose |
| @JaywanIncBeats | 259,973 | Music Producer | Music production, A&R, Hip-hop |
| @ColumbusShort1 | 256,411 | Actor | world changer, ORCA UNITED SOCIETY, ARTIST |
| @TandMHD | 247,876 | Music Producer | Music, Production, TV |
| @iamjuddah | 223,473 | - | - |
| @ForcePromotion | 223,205 | - | - |
| @THEREALESMITTY | 177,404 | Music Producer | Music production, engineering, business |
| @stephlova__ | 170,737 | - | - |
| @FliirtNextDoor | 156,634 | Adult Content Creator | BBW, DreadHead, Kissin |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,239
Followers With Bio
2,760
Followers Without Bio
74.91%
% With Bio
25.09%
% 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 3,146 analyzed101,892
Combined Engagement
21,784
Total Likes
80,108
Total Retweets
20,378
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
0%
With Links
Topical Analysis:
RT @elonmusk: 🏴☠️
RT @qcm_p: Trust the timing, things happen for a reason.
RT @1future: Ain’t nun like team work. Keep the right people around u
Thank You GOD for everything 🤲🏾
Thank You GOD for everything 🤲🏾
Key Insights & Takeaways
The account frequently expresses gratitude, which resonates well with their audience. The new album announcement is a key focus, indicating a strategic push for growth. High engagement suggests a strong and active fan base that is invested in their content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 106,487
- + 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 @TaylorJTakeover reveals an well-established Twitter presence with 106,487 followers. The account demonstrates a content-creator strategy, averaging 396.3 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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