Italrugby
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166,634
Followers
1,561
Following
38,835
Tweets
46.8
Avg Engagement
1,027
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Federugby'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:2009-10-22
- Verification:No
- Location:46.513887,11.475542
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:38.9
- Avg Retweets per Tweet:7.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The use of hashtags and emojis likely contributes to this engagement.
38.9
Avg Likes/Tweet
7.8
Avg Retweets/Tweet
126,471
Total Likes
25,490
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
32
75th Percentile
8,181
Top Tweet
0.28
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
81.0%
Original
2.8%
Replies
14.3%
Retweets
1.9%
Quotes
0.0%
Threads
0.1%
With Media
72.7%
With Links
91.8%
With #Tags
59.8%
With @Mentions
78.7%
With Emojis
181
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
48.8%
Weekday Posts
51.2%
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 464 retweets (14% 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 rugby enthusiasts in Italy, with a focus on fans of the national team and rugby culture. The content appeals to those who are emotionally invested in the sport.
Average
Audience Quality
34.2%
Suspicion Index
47.9%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.8%
Empty Bio
49.7%
<10 Tweets
8.3%
Mass Following (>2K)
0.0%
New (<90 days)
67.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
39.1%
<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.
41,842,184
Total Potential Reach
8
Median Follower Reach
75
75th Percentile Reach
4.2%
>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).
34.4%
Creators
17,224 accounts
15.9%
Consumers
7,949 accounts
49.7%
Dormant
24,827 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):
123
Verified Followers
0.12% of total
5,457
Protected Accounts
5.4% of total
7 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 | 14,100,756 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Radio105 | 1,377,196 | Radio Host | Music, Entertainment, Diversity |
| @AllBlacks | 1,047,864 | Sports Team | Rugby, New Zealand, Sports |
| @beltrandelrio | 882,151 | Periodista | Periodista, Rockero, Conferencista |
| @ZachBoychuk | 828,651 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 800,977 | Activism | equality, bullying, discrimination |
| @ericschiffer | 688,625 | CEO | business, media, author |
| @Giorgia | 676,763 | Musicista | music, artist, performer |
| @DecarliLeonardo | 669,820 | Entertainer | YouTube, Acting, Singing |
| @PietroGrasso | 638,804 | Politician | Politics, Law, Justice |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34,052
Followers With Bio
66,947
Followers Without Bio
33.72%
% With Bio
66.28%
% 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 analyzed28,913
Combined Engagement
21,525
Total Likes
7,388
Total Retweets
5,783
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
Thank you @WelshRugbyUnion , it was an honor to share the pitch - amazing sportsmanship gesture by Josh Adams 🙏 https://t.co/KvUzv2cXjg
𝘽𝙍𝙄𝙑𝙄𝘿𝙄 💙 @SixNationsRugby #insieme #rugbypassioneitaliana https://t.co/L7rdLbgk4v
RT @ek_rugby1: It had to be done, it's too perfect. Italy's winning try, Nessun dorma, enjoy. #WALvITA #SixNations https://t.co/MZabKzIY…
ɪᴛ ꜰᴇᴇʟꜱ ʟɪᴋᴇ ꜰʟʏɪɴɢ 💙 #WALvITA @SixNationsRugby #Insieme #rugbypassioneitaliana https://t.co/MKthFna2r3
ᴛᴜᴛᴛᴏ ᴠᴇʀᴏᴏᴏᴏᴏ 💙 #ITAvAUS @autumnnations #insieme #rugbypassioneitaliana https://t.co/DLEBJRji3W
Key Insights & Takeaways
The account frequently collaborates with other rugby accounts to amplify reach and engagement. Emojis and hashtags are used strategically to evoke emotion and foster a sense of community. The content is highly focused on Italian rugby, with an emphasis on passion and national pride.
Strengths
- + Established follower base of 166,634
- + 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 @Federugby reveals an growing Twitter presence with 166,634 followers. The account demonstrates a content-creator strategy, averaging 46.8 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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