Wilson Tennis
Wilson is the #1 Brand in Tennis, Official Twitter Page of Wilson Racquet Sports
167,244
Followers
249
Following
31,864
Tweets
106.7
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WilsonTennis'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:2009-01-30
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:50.8
- Avg Retweets per Tweet:55.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady average number of likes and retweets, indicating a loyal and active follower base. Engagement is likely driven by content related to high-profile athletes and product launches.
50.8
Avg Likes/Tweet
55.9
Avg Retweets/Tweet
164,989
Total Likes
181,667
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
19
75th Percentile
51,507
Top Tweet
0.64
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
16.3%
Original
76.4%
Replies
4.6%
Retweets
2.7%
Quotes
0.0%
Threads
0.4%
With Media
24.8%
With Links
17.8%
With #Tags
85.4%
With @Mentions
47.9%
With Emojis
67
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.68
Reply/Original Ratio
0.59
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.1%
Weekday Posts
19.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 148 retweets (5% 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 3,250 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 followersThe audience is primarily interested in tennis, sports equipment, and brand collaborations. They are likely fans of tennis players and enthusiasts of the sport.
Average
Audience Quality
28.2%
Suspicion Index
34.1%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.3%
Empty Bio
31.7%
<10 Tweets
12.8%
Mass Following (>2K)
0.0%
New (<90 days)
60.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.1%
No URL
22.0%
<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.
39,476,701
Total Potential Reach
25
Median Follower Reach
125
75th Percentile Reach
3.7%
>1K followers
0.5%
>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).
47.2%
Creators
23,623 accounts
21.1%
Consumers
10,526 accounts
31.7%
Dormant
15,851 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):
217
Verified Followers
0.21% of total
12,185
Protected Accounts
12.06% 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 | 14,100,766 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Sony | 5,806,599 | Electronics | technology, entertainment, innovation |
| @andreolifelipe | 3,351,692 | Jornalista | Esportes, Jornalismo, Globo |
| @6BillionPeople | 2,033,250 | - | - |
| @sherylunderwood | 1,319,358 | TV Host | Talk show, radio, sorority |
| @soledadobrien | 1,317,732 | Journalist | working, mom, journalist |
| @GettySport | 882,028 | Photographer | sports, photography, news |
| @luxurytravel | 720,576 | Travel Blogger | luxury travel, editor, blog |
| @jmaphatie | 530,274 | Journalist | Media criticism, Journalism, Subjectivity |
| @livetennis | 494,644 | Sports Media | Tennis, Coverage, Independent |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,633
Followers With Bio
52,364
Followers Without Bio
48.15%
% With Bio
51.85%
% 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 3,250 analyzed112,378
Combined Engagement
0
Total Likes
112,378
Total Retweets
22,476
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @rogerfederer: heading to dinner with some friends @RafaelNadal @andy_murray @DjokerNole https://t.co/2oYR3hnGaZ
RT @rogerfederer: Making sure I still remember how to hit trick shots #TennisAtHome https://t.co/DKDKQTaluY
RT @LaverCup: The one, the only @rogerfederer. #LaverCup https://t.co/DIudykDUNn
RT @rogerfederer: https://t.co/l0bnPPKEQe
RT @rogerfederer: 👀🔜🇪🇺🇪🇺🇪🇺
Key Insights & Takeaways
The account frequently collaborates with top athletes like Roger Federer, which boosts engagement and brand visibility. Content often highlights new product launches and special editions, appealing to sports enthusiasts and collectors. The use of hashtags and direct mentions of athletes helps in increasing reach and interaction with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 167,244
- + 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 @WilsonTennis reveals an well-established Twitter presence with 167,244 followers. The account demonstrates a conversation-first approach, averaging 106.7 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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