Loaded
58,965
Followers
666
Following
23,794
Tweets
33.4
Avg Engagement
390
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @loadedonline'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:2009-07-28
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,194
- Avg Likes per Tweet:3.8
- Avg Retweets per Tweet:29.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,194 tweetsThe account maintains a steady level of engagement, with an average of 476 likes and 211 retweets per tweet. The engagement rate suggests a loyal and active follower base.
3.8
Avg Likes/Tweet
29.6
Avg Retweets/Tweet
12,192
Total Likes
94,426
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
4
75th Percentile
29,218
Top Tweet
0.57
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
91.8%
Original
3.7%
Replies
1.8%
Retweets
2.7%
Quotes
0.0%
Threads
0.3%
With Media
93.8%
With Links
55.4%
With #Tags
18.3%
With @Mentions
9.0%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
1.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.7%
Weekday Posts
20.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,194 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 59 retweets (2% 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 3,194 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 audience likely includes fans of entertainment, celebrities, and sports personalities. The content seems to appeal to a general audience interested in pop culture and humor.
Average
Audience Quality
33.5%
Suspicion Index
35.3%
Low-Quality %
74
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.4%
Empty Bio
26.0%
<10 Tweets
31.8%
Mass Following (>2K)
0.0%
New (<90 days)
65.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
17.2%
<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.
18,505,191
Total Potential Reach
74
Median Follower Reach
198
75th Percentile Reach
5.7%
>1K followers
1.2%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.1%
Creators
5,311 accounts
20.9%
Consumers
2,085 accounts
26.0%
Dormant
2,604 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):
50
Verified Followers
0.5% of total
2,015
Protected Accounts
20.15% 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 |
|---|---|---|---|
| @6BillionPeople | 2,013,405 | - | - |
| @thescript | 1,830,627 | Musician | music, band, album |
| @KatiePrice | 1,821,604 | Influencer | YouTube, Subscribe, Channel |
| @MikeyWax | 857,561 | Musician | music, singer-songwriter, new single |
| @larrykim | 725,167 | Entrepreneur | Startups, AdWords, Chatbots |
| @KevinandTrevor | 693,975 | - | - |
| @Zoosk | 509,937 | Dating App | dating, matchmaking, singles |
| @HannahBrooks25 | 469,302 | Webcam Model | Webcam modeling, Naughty videos, English |
| @djkingassassin | 464,699 | DJ | Music, Club, Producer |
| @SophieASlut | 352,816 | Adult entertainer | Sexuality, Empowerment, Confidence |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,663
Followers With Bio
5,337
Followers Without Bio
46.63%
% With Bio
53.37%
% 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 3,194 analyzed60,685
Combined Engagement
0
Total Likes
60,685
Total Retweets
12,137
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @GillianA: #TheXFiles #TakeAKnee https://t.co/65GJiBAOsl
RT @GazzaArsenal: Well this has just won it all. The end. https://t.co/bW4Xbit8bl
RT @simontokeeffe: As bad as Conor McGregor's latest antics are, we should remember that Big Boss Man once drove away with the coffin at Big Show's da's funeral and that was all quickly forgotten about.
RT @chris_odee: May aswell put big phil Mitchell on this after a few requests 🙈 big mans ditched walford for pollok 😂 https://t.co/wMlxDMwAGV
RT @loudmouthmelvin: James Richardson’s description of Dele Alli’s goal was tremendous 😂 https://t.co/bcq46F52eQ
Key Insights & Takeaways
The account frequently shares birthday wishes and celebrity endorsements, indicating a focus on entertainment and social media trends. The content often highlights humor and personal opinions, suggesting a casual and relatable tone. The use of links in tweets points to a strategy of driving traffic or promoting specific content or individuals.
Strengths
- + Established follower base of 58,965
- + 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 @loadedonline reveals an growing Twitter presence with 58,965 followers. The account demonstrates a content-creator strategy, averaging 33.4 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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