Taylor Fritz
26 | SoCal 🌴| top 🇺🇸 pro tennis player 🎾 @nikecourt @head_tennis @rolex @drink_waterdrop | I also stream games 🎮
89,074
Followers
288
Following
1,439
Tweets
768.1
Avg Engagement
842
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Taylor_Fritz97'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:2013-09-02
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:1,384
- Avg Likes per Tweet:241.3
- Avg Retweets per Tweet:526.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,384 tweetsTaylor Fritz's tweets typically receive high engagement, with an average of 10,992 likes and 614 retweets per post. His content resonates well with his followers, encouraging both likes and shares.
241.3
Avg Likes/Tweet
526.8
Avg Retweets/Tweet
333,894
Total Likes
729,147
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
7
Median Retweets
158
75th Percentile
119,978
Top Tweet
8.62
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
23.6%
Original
27.0%
Replies
32.9%
Retweets
16.5%
Quotes
0.0%
Threads
0.5%
With Media
54.2%
With Links
32.4%
With #Tags
72.8%
With @Mentions
43.5%
With Emojis
108
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.15
Reply/Original Ratio
0.5
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 1,384 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 456 retweets (33% 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 1,384 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 10,000 followersHis audience primarily consists of sports fans and tennis enthusiasts who are interested in his career and personal life. The audience also includes brand collaborators and followers of his streaming activities.
Average
Audience Quality
25.0%
Suspicion Index
35.5%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.9%
Empty Bio
27.9%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
51.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
20.2%
<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.
6,681,471
Total Potential Reach
30
Median Follower Reach
128
75th Percentile Reach
4.0%
>1K followers
0.6%
>10K followers
0.2%
>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).
51.7%
Creators
5,172 accounts
20.3%
Consumers
2,033 accounts
27.9%
Dormant
2,795 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):
71
Verified Followers
0.71% of total
1,168
Protected Accounts
11.68% of total
6 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 |
|---|---|---|---|
| @LeBronJames | 939,933 | - | - |
| @bgarlinghouse | 723,616 | CEO | Cryptocurrency, Blockchain, Innovation |
| @SlimJim | 515,400 | Snack Influencer | meat, long boi, champions |
| @RyderCupEurope | 302,234 | Sports Team | Golf, Team Europe, Ryder Cup |
| @jorcervan | 237,254 | Writer | Mythology, Self-discovery, Openness |
| @conquerer1 | 235,540 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @ECIDOL_ | 157,705 | YouTuber | Youtuber, Singer, Travel |
| @avantgame | 147,036 | Game Designer | games, science, bestsellers |
| @RossChastain | 107,952 | Racing Driver | NASCAR, Racing, TeamTrackhouse |
| @sebbenoit72 | 80,645 | TV Host | food, cooking, TV shows |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,912
Followers With Bio
5,088
Followers Without Bio
49.12%
% With Bio
50.88%
% 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 1,384 analyzed340,143
Combined Engagement
0
Total Likes
340,143
Total Retweets
68,029
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @BleacherReport: Look at their reactions 😂 https://t.co/GAM37U6Kq9
RT @Ibra_official: I came, I saw, I conquered. Thank you @lagalaxy for making me feel alive again. To the Galaxy fans - you wanted Zlatan, I gave you Zlatan. You are welcome. The story continues...Now go back to watch baseball https://t.co/kkL6B6dJBr
RT @andy_murray: Bbc just called to say I was PROBABLY going to be named sports personality of the year but I would have to agree to an interview and a major photo shoot. I said probably is no good and took a pass. Thanks anyway!
RT @Calfreezy: Trying to make a joke that doesn't offend anyone in 2015 https://t.co/SivhthCshl
RT @common: It’s almost like his talent wasn’t ever the issue here? 🙃 https://t.co/XTrVNAoDrz
Key Insights & Takeaways
He often shares personal and emotional experiences, which create a deeper connection with his audience. His content highlights his dedication and passion for tennis, reinforcing his professional identity. He effectively uses social media to promote brand partnerships and maintain a visible public persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 89,074
- + 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 @Taylor_Fritz97 reveals an well-established Twitter presence with 89,074 followers. The account demonstrates a conversation-first approach, averaging 768.1 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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