Ryan 'RossiHD' Ross
Enquiries: [email protected] - Instagram: RossiHD
174,769
Followers
942
Following
44,891
Tweets
80.5
Avg Engagement
95
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ROS5IHD'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:2010-09-18
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:49.2
- Avg Retweets per Tweet:31.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,196 tweetsROS5IHD's tweets receive high engagement with an average of 2,327 likes and 1,209 retweets. Their content is designed to encourage interaction, such as retweets and follows.
49.2
Avg Likes/Tweet
31.3
Avg Retweets/Tweet
157,128
Total Likes
100,177
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
1
Median Retweets
51
75th Percentile
63,674
Top Tweet
0.46
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
51.8%
Original
38.8%
Replies
5.0%
Retweets
4.3%
Quotes
0.0%
Threads
0.1%
With Media
36.7%
With Links
2.4%
With #Tags
52.4%
With @Mentions
19.7%
With Emojis
68
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.75
Reply/Original Ratio
0.86
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 161 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 3,196 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 football enthusiasts and fans of entertainment content. They are likely young adults interested in sports, memes, and interactive social media experiences.
Average
Audience Quality
29.1%
Suspicion Index
37.6%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
36.6%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
63.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.2%
No URL
20.7%
<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.
38,248,436
Total Potential Reach
13
Median Follower Reach
46
75th Percentile Reach
1.6%
>1K followers
0.4%
>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).
30.5%
Creators
15,255 accounts
32.9%
Consumers
16,430 accounts
36.6%
Dormant
18,315 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):
104
Verified Followers
0.1% of total
5,763
Protected Accounts
5.71% 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 |
|---|---|---|---|
| @DjMaRiiO | 4,457,243 | Gamer | Videojuegos, Streaming, Espectadores |
| @Razer | 3,436,390 | Gaming Company | Gaming, Support, Action |
| @GazGShore | 2,132,983 | Reality TV Star | Reality TV, Fitness, Fashion |
| @6BillionPeople | 2,033,434 | - | - |
| @AmericanAir | 1,648,901 | Airline | Customer service, Travel, Aviation |
| @Castro1021 | 1,508,071 | Gamer | Gaming, Champion, Business |
| @joe_weller_ | 1,424,225 | YouTuber | YouTube, Music, Athlete |
| @Sporf | 1,386,722 | Sports Media | Sport, Conversation, Social Chain Group |
| @willne | 1,261,955 | YouTuber | YouTube, Comedy, Gaming |
| @JDaIey | 1,230,304 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,860
Followers With Bio
59,139
Followers Without Bio
41.45%
% With Bio
58.55%
% 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 3,196 analyzed81,606
Combined Engagement
12,964
Total Likes
68,642
Total Retweets
16,321
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @ManUtd: Club statement on Paul Pogba: https://t.co/BCU3m17XXm #MUFC https://t.co/LiTdnSFVNL
MASSIVE GIVEAWAY! I'm giving away one person the new 99 RONALDO on any console! Just RT + Follow me to enter! 👌⚽️ https://t.co/DhFr0rh6fx
ESPN including Man Utd in the relegation race 😭😭😭😭😭😭😭 https://t.co/il8dJi4yiD
My friend on the right has said he will get a rossihd tattoo, he said this tweet needs to get 50,000 likes for it to happen, punish him https://t.co/a0sG0OD8Yu
I'm donating 2 @GetGripped controllers to @SpencerOwen stream for @MovemberUK 🎮 one for each console! RT or spence can pick the winner! https://t.co/6n4Mj55o5S
Key Insights & Takeaways
High engagement suggests a strong, loyal fanbase interested in interactive and humorous content. Giveaways and viral challenges are effective in driving follower growth and engagement. Collaborations with brands or influencers could further expand their reach and impact.
Strengths
- + Established follower base of 174,769
- + 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 @ROS5IHD reveals an growing Twitter presence with 174,769 followers. The account demonstrates a content-creator strategy, averaging 80.5 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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