St George Illawarra Dragons
The official St George Illawarra Dragons twitter: Home of the men and women of the #redv.
72,935
Followers
596
Following
52,270
Tweets
46.6
Avg Engagement
594
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NRL_Dragons'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:2009-12-14
- Verification:No
- Location:St George and the Illawarra
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:43.3
- Avg Retweets per Tweet:3.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,246 tweetsThe account maintains a steady level of engagement with an average of 487 likes and 66 retweets per tweet. This suggests a loyal fan base that actively interacts with the team's content.
43.3
Avg Likes/Tweet
3.3
Avg Retweets/Tweet
140,706
Total Likes
10,674
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
1
Median Retweets
55
75th Percentile
680
Top Tweet
0.64
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
91.5%
Original
5.2%
Replies
0.7%
Retweets
2.6%
Quotes
0.0%
Threads
0.3%
With Media
69.0%
With Links
95.6%
With #Tags
5.4%
With @Mentions
61.1%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
3.61
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
53.8%
Weekday Posts
46.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 23 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 3,246 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 primary audience consists of rugby league fans, particularly supporters of the St George Illawarra Dragons. The content is tailored to engage both casual and dedicated followers of the team.
Below Average
Audience Quality
35.5%
Suspicion Index
51.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.1%
Empty Bio
60.8%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
66.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
47.3%
<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.
15,765,788
Total Potential Reach
4
Median Follower Reach
26
75th Percentile Reach
1.7%
>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).
21.1%
Creators
2,112 accounts
18.1%
Consumers
1,807 accounts
60.8%
Dormant
6,081 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):
25
Verified Followers
0.25% of total
690
Protected Accounts
6.9% of total
3 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 | 14,093,965 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KimMangone | 249,772 | Engineer | Single Mom, USAF Vet, Engineer |
| @KobyFalksXXX | 107,951 | Adult Performer | muscle, bear, daddy |
| @GeorgeJabbour | 79,933 | Sports Fan | St George Dragons, Liverpool, Alcohol Drink |
| @RealMarkLatham | 66,662 | Politician | Politics, Media, Outsiders |
| @FarplaceRescue | 50,141 | Animal Rescue | vegan, tea, juggling |
| @ChrisMinnsMP | 45,549 | - | - |
| @RachelAnkomahGh | 44,849 | - | - |
| @BySimonDunn | 26,514 | - | - |
| @tiffanydeluxxxx | 25,686 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,485
Followers With Bio
5,515
Followers Without Bio
44.85%
% With Bio
55.15%
% 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 3,246 analyzed2,928
Combined Engagement
2,624
Total Likes
304
Total Retweets
586
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
The Dragons would like to congratulate Brett Morris on an amazing career and wish him all the best in the future 🐉 #106 #redv https://t.co/5CwD1WlP0X
Four wins on the trot 🔥🔥 #redv #NRLEelsDragons https://t.co/7wfPF5V2jE
Fair to say the boys enjoyed that one!! 🎶 #redv https://t.co/cEZmnqllyB
The Dragons are deeply saddened to learn about the passing of immortal Norm Provan. A gladiator, warrior and a giant of the game, Provan's legacy will be remembered not only by the Dragons but in rugby league forever. Never before, never again.
Take a bow, Benny 🔥 #redv #Origin https://t.co/ZOER06zkgJ
Key Insights & Takeaways
The account frequently highlights player milestones and team achievements, which helps in building fan loyalty and excitement. It uses hashtags like #redv and #NRLEelsDragons to foster community and brand identity. The content often includes celebratory and emotional messages, which resonate well with the fan base.
Strengths
- + Established follower base of 72,935
- + 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 @NRL_Dragons reveals an growing Twitter presence with 72,935 followers. The account demonstrates a content-creator strategy, averaging 46.6 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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