Relevent Sports
The official account of Relevent Sports
171,507
Followers
1,258
Following
56,374
Tweets
59.3
Avg Engagement
686
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @releventsports'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:2013-02-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:55.0
- Avg Retweets per Tweet:4.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction.
55.0
Avg Likes/Tweet
4.3
Avg Retweets/Tweet
178,829
Total Likes
13,841
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
2
Median Retweets
63
75th Percentile
6,007
Top Tweet
0.35
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
94.3%
Original
3.2%
Replies
0.9%
Retweets
1.6%
Quotes
0.0%
Threads
0.6%
With Media
93.2%
With Links
1.6%
With #Tags
3.8%
With @Mentions
64.8%
With Emojis
87
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
1.73
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.8%
Weekday Posts
30.2%
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 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 30 retweets (1% 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 likely sports enthusiasts and fans of major leagues and athletes.
Below Average
Audience Quality
35.1%
Suspicion Index
40.6%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.8%
Empty Bio
54.7%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
74.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
38.4%
<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.
26,043,826
Total Potential Reach
7
Median Follower Reach
47
75th Percentile Reach
2.4%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
23.1%
Creators
11,538 accounts
22.2%
Consumers
11,105 accounts
54.7%
Dormant
27,357 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):
256
Verified Followers
0.25% of total
9,737
Protected Accounts
9.64% of total
5 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 |
|---|---|---|---|
| @FabrizioRomano | 14,507,199 | Journalist | Football, Transfers, News |
| @JohnCena | 14,100,420 | Wrestler | Wrestling, Motivation, Self-promotion |
| @acmilan | 8,460,161 | Football Club | - |
| @Chivas | 4,157,487 | Social Media Manager | Chivas, ChivaHermanos, Rebaño |
| @Casimiro | 4,071,881 | Streamer | Vasco da Gama, Presenting, Streaming |
| @RodrygoGoes | 2,955,115 | Footballer | Futebol, Real Madrid, Brasil |
| @MarcBartra | 2,668,571 | Footballer | Football, Real Betis, Spain |
| @David_Ornstein | 1,887,180 | Football Correspondent | - |
| @KameronBennett | 1,820,792 | DJ | Music, DJing, Booking |
| @AchrafHakimi | 1,771,813 | Footballer | football, sports, athlete |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,316
Followers With Bio
38,681
Followers Without Bio
61.7%
% With Bio
38.3%
% 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 3,250 analyzed17,176
Combined Engagement
15,915
Total Likes
1,261
Total Retweets
3,435
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Ronaldo's presentation ceremony had over 3 billion views across 40 channels globally 🤯 https://t.co/cgKEQiWxEf
RONALDO MISSED A 1v1 WITH THE KEEPER 🤭 https://t.co/NwEAOST92M
Even the ref had to dap him up before sending him off 😂 https://t.co/6dusjgfvxF
Dest was not happy to be taken off. https://t.co/l4eb2htC6k
Is "Waka Waka" the best World Cup anthem ever? https://t.co/1DK050fpP6
Key Insights & Takeaways
The content often highlights high-profile athletes and major events, which drives engagement. The use of multimedia links suggests a focus on visual storytelling and real-time updates. The account's verified status and follower count indicate credibility and influence in the sports space.
Strengths
- + Established follower base of 171,507
- + 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 @releventsports reveals an growing Twitter presence with 171,507 followers. The account demonstrates a content-creator strategy, averaging 59.3 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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