RugbyPass
RugbyPass TV, the new home of rugby video!
109,550
Followers
3,525
Following
54,838
Tweets
31.6
Avg Engagement
577
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RugbyPass'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:2015-08-26
- Verification:Yes
- Location:Global
Data Summary
- Tweets Analyzed:3,209
- Avg Likes per Tweet:28.7
- Avg Retweets per Tweet:3.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,209 tweetsOn average, tweets receive 1,084 likes and 82 retweets, showing moderate engagement. The top tweets often include hashtags and links, suggesting they are designed to drive interaction and traffic.
28.7
Avg Likes/Tweet
3.0
Avg Retweets/Tweet
92,040
Total Likes
9,500
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
1
Median Retweets
20
75th Percentile
2,088
Top Tweet
0.29
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
89.9%
Original
0.5%
Replies
9.4%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
98.9%
With Links
77.9%
With #Tags
22.7%
With @Mentions
34.1%
With Emojis
154
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
62.5%
Weekday Posts
37.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,209 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 302 retweets (9% 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 3,209 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 followersThe audience is likely rugby enthusiasts, fans of major tournaments like the Six Nations, and viewers interested in rugby video content. The account's focus on events suggests it targets sports fans looking for real-time updates and highlights.
Average
Audience Quality
29.8%
Suspicion Index
44.7%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.3%
Empty Bio
43.3%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
53.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
33.2%
<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.
4,216,396
Total Potential Reach
19
Median Follower Reach
101
75th Percentile Reach
3.9%
>1K followers
0.4%
>10K followers
0.1%
>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).
36.1%
Creators
3,609 accounts
20.6%
Consumers
2,058 accounts
43.3%
Dormant
4,333 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):
48
Verified Followers
0.48% of total
1,022
Protected Accounts
10.22% of total
4 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 | 962,115 | - | - |
| @mikephillips009 | 285,640 | Rugby Player | Rugby, Ambassador, Professionalism |
| @JRFUMedia | 256,404 | Sports | rugby, japan, news |
| @PoppyIsMyName | 216,628 | Podcaster | Podcast, Music, Entertainment |
| @DarkoPericActor | 133,545 | Actor | Movies, Acting, Travel |
| @CarlosMaizOK | 87,321 | Entrepreneur | Entrepreneur, Digital Communication, Bitcoin |
| @localman254 | 76,072 | Crypto Trader | Reggae, Arsenal, Bitcoin |
| @simonrug | 46,191 | - | - |
| @grimegran | 34,547 | - | - |
| @locaperdidita | 34,202 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,374
Followers With Bio
5,626
Followers Without Bio
43.74%
% With Bio
56.26%
% 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 3,209 analyzed7,507
Combined Engagement
6,974
Total Likes
533
Total Retweets
1,501
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Family comes first 🔥 #SixNations2021 https://t.co/VoYcOppcqz
The king of Murrayfield 🤘👑🤘 #SCOvWAL #SixNations2023 https://t.co/GPpoPgWUYe
Never judge a book by its cover 🔥 #rugbypassoffload #francerugby https://t.co/ODWLbtWAuY
An incredible story about Jonah Lomu from @dannycare #RugbyPassOffload https://t.co/BZwYfaZkzk
Alun Wyn Jones finishes his international career as the most capped men's player in international history, a legend of the game 🔥 #WalesRugby https://t.co/vq1Ewn3iY4
Key Insights & Takeaways
The account frequently uses hashtags related to major rugby events, indicating a focus on timely and event-driven content. Top tweets often include emojis and are linked to specific matches or campaigns, suggesting an emphasis on visual and emotional appeal. The account's bio highlights its role as a video platform, reinforcing its content strategy around multimedia and event coverage.
Strengths
- + Established follower base of 109,550
- + 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 @RugbyPass reveals an growing Twitter presence with 109,550 followers. The account demonstrates a content-creator strategy, averaging 31.6 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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