James Marriott
I'd quite like to go home now
585,987
Followers
1,235
Following
20,796
Tweets
2,873.6
Avg Engagement
734
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JamesMarriottYT'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:2012-04-27
- Verification:No
- Location:Brighton
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:2,746.8
- Avg Retweets per Tweet:126.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,233 tweetsHis tweets receive significant likes and retweets, indicating a highly engaged and responsive audience.
2,746.8
Avg Likes/Tweet
126.9
Avg Retweets/Tweet
8,880,374
Total Likes
410,130
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
652
Median Likes
3
Median Retweets
2,860
75th Percentile
204,072
Top Tweet
4.9
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
13.9%
Original
80.9%
Replies
4.8%
Retweets
0.4%
Quotes
0.0%
Threads
0.4%
With Media
14.4%
With Links
1.1%
With #Tags
78.4%
With @Mentions
2.9%
With Emojis
59
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.83
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 154 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 3,233 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 appears to be emotionally invested and supportive, often engaging with his heartfelt posts.
Average
Audience Quality
31.4%
Suspicion Index
36.1%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.9%
Empty Bio
47.7%
<10 Tweets
1.1%
Mass Following (>2K)
0.0%
New (<90 days)
76.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
33.3%
<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.
11,310,732
Total Potential Reach
3
Median Follower Reach
13
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>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).
26.7%
Creators
13,342 accounts
25.7%
Consumers
12,832 accounts
47.7%
Dormant
23,826 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):
88
Verified Followers
0.09% of total
10,020
Protected Accounts
9.92% of total
2 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 |
|---|---|---|---|
| @dantdm | 2,140,539 | YouTuber | Gaming, Streaming, Fatherhood |
| @CouRageJD | 1,942,245 | Gamer | Gaming, Soup, Merch |
| @theawesamdude | 1,356,749 | Streamer | Gaming, Twitch, Art |
| @neimki | 1,008,474 | Artist | art, info, alt account |
| @ZachBoychuk | 829,856 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @ironmouse | 812,218 | Vtuber | Vtuber, ironmouseart, Demon Queen |
| @cuptoast | 704,555 | Content Creator | keyboard, music, teenager |
| @awesam_alt | 549,503 | Content Creator | boosting, random, dumb |
| @DannyAaronsFUT | 541,875 | - | - |
| @noelitoflow | 473,107 | Inspirational Speaker | God, Jesus, Purpose |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,658
Followers With Bio
38,341
Followers Without Bio
62.04%
% With Bio
37.96%
% 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 3,233 analyzed575,935
Combined Engagement
452,970
Total Likes
122,965
Total Retweets
115,187
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Heartbroken. https://t.co/xEtHOfkGNY
Please show a massive amount of love/support to those that were close with Techno at this time. Rest in peace.
RT @__itsMatty: Might save a life. https://t.co/plrcjG4Z1K
I have officially been sober for a month :)
SPOTIFY REMOVE THE DSMP GENRE
Key Insights & Takeaways
His content often reflects personal struggles and emotional moments, which resonate deeply with followers. He frequently shares updates about his sobriety and personal growth, indicating a focus on self-improvement. He also pays tribute to others, showing a sense of community and empathy towards those in need.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 585,987
- + High community engagement through conversations
- + 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 @JamesMarriottYT reveals an exceptionally influential Twitter presence with 585,987 followers. The account demonstrates a conversation-first approach, averaging 2,873.6 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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