𝗥𝗢𝗢𝗧𝗦𝗬
OMA Award Winning UK Garage DJ • Host • Management & UK Bookings: @RelativeMusicUK • Proud Dad to Summer Grace & Teddy Albert •
78,336
Followers
40,426
Following
64,844
Tweets
139.8
Avg Engagement
262
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MrRootsy'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:2010-11-11
- Verification:No
- Location:SE London, UK
Data Summary
- Tweets Analyzed:3,125
- Avg Likes per Tweet:7.5
- Avg Retweets per Tweet:132.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,125 tweetsMrRootsy's tweets typically receive around 70 likes and 54 retweets on average, indicating a moderately engaged audience. His content often includes personal touches and promotions that drive interaction.
7.5
Avg Likes/Tweet
132.4
Avg Retweets/Tweet
23,398
Total Likes
413,618
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
17
75th Percentile
180,296
Top Tweet
1.79
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
65.7%
Original
2.2%
Replies
28.7%
Retweets
3.4%
Quotes
0.0%
Threads
0.1%
With Media
23.5%
With Links
22.8%
With #Tags
36.7%
With @Mentions
24.0%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,125 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 897 retweets (29% 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 3,125 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 followersHis audience includes music enthusiasts, fans of UK Garage, and those interested in CBD products and giveaways. They are likely aged 20-40 and interested in entertainment and lifestyle.
Below Average
Audience Quality
37.6%
Suspicion Index
43.1%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.1%
Empty Bio
40.9%
<10 Tweets
27.5%
Mass Following (>2K)
0.0%
New (<90 days)
70.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.3%
No URL
28.1%
<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.
53,800,303
Total Potential Reach
19
Median Follower Reach
106
75th Percentile Reach
8.4%
>1K followers
2.9%
>10K followers
1.5%
>50K followers
1.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
35.5%
Creators
3,548 accounts
23.6%
Consumers
2,360 accounts
40.9%
Dormant
4,092 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):
86
Verified Followers
0.86% of total
1,129
Protected Accounts
11.29% of total
10 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 |
|---|---|---|---|
| @6BillionPeople | 2,019,923 | - | - |
| @KameronBennett | 1,814,555 | DJ | Music, DJing, Booking |
| @HollyHaganBlyth | 1,520,114 | Reality TV Star | Geordie Shore, Makeup, Booking |
| @MurrayNewlands | 1,511,943 | Contributor | pop art, art, entrepreneurship |
| @CynthiaLIVE | 1,417,943 | Entrepreneur | Personal Branding, Keynote Speaking, Columnist |
| @gyaigyimii | 1,396,126 | Host | Business, Host, Space |
| @JaiBrooks1 | 1,374,096 | Artist | artist, Melbourne, Australia |
| @SinghLions | 1,328,992 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1,316,198 | Journalist | working, mom, journalist |
| @JDaIey | 1,246,231 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,194
Followers With Bio
5,806
Followers Without Bio
41.94%
% With Bio
58.06%
% 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 3,125 analyzed332,895
Combined Engagement
0
Total Likes
332,895
Total Retweets
66,579
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @FuchsOfficial: CHAMPIONS!!!! https://t.co/pFtvo5XUNx
RT @elonmusk: Twitter needs to become by far the most accurate source of information about the world. That’s our mission.
RT @BurgerKingUK: We know, we never thought we’d be saying this either. https://t.co/cVRMSLSDq6
RT @elonmusk: the elusive beauty of imperfection 侘寂
RT @elonmusk: Off Twitter for a while
Key Insights & Takeaways
He frequently collaborates with other creators and brands, which helps expand his reach and engagement. He uses giveaways and promotions to keep his audience interested and involved. Personal updates and milestones, like birthdays, help build a more relatable and connected audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78,336
- + 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 @MrRootsy reveals an well-established Twitter presence with 78,336 followers. The account demonstrates a content-creator strategy, averaging 139.8 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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