Diversity
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227,519
Followers
1,429
Following
7,712
Tweets
167.5
Avg Engagement
588
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Diversity_Tweet'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:2009-06-01
- Verification:No
- Location:England
Data Summary
- Tweets Analyzed:3,080
- Avg Likes per Tweet:87.6
- Avg Retweets per Tweet:79.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,080 tweetsThe account has high engagement with an average of 3,439 likes and 991 retweets per tweet, indicating a loyal and active follower base.
87.6
Avg Likes/Tweet
79.9
Avg Retweets/Tweet
269,851
Total Likes
245,993
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
47
Median Likes
35
Median Retweets
177
75th Percentile
70,708
Top Tweet
0.74
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
47.7%
Original
13.9%
Replies
36.9%
Retweets
1.5%
Quotes
0.0%
Threads
0.6%
With Media
50.5%
With Links
53.0%
With #Tags
66.9%
With @Mentions
44.0%
With Emojis
116
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.3%
Weekday Posts
30.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,080 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 1,136 retweets (37% 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 3,080 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 likely fans of the group Little Mix and other music-related content. They are interested in live performances, group dynamics, and current events.
Average
Audience Quality
20.8%
Suspicion Index
27.3%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.1%
Empty Bio
18.1%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
42.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.5%
No URL
10.5%
<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.
75,815,068
Total Potential Reach
50
Median Follower Reach
195
75th Percentile Reach
6.4%
>1K followers
0.8%
>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).
59.5%
Creators
29,740 accounts
22.4%
Consumers
11,218 accounts
18.1%
Dormant
9,042 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):
146
Verified Followers
0.14% of total
15,626
Protected Accounts
15.47% of total
9 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 | 14,100,225 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ollymurs | 6,825,710 | Singer | Music, Touring, Summer |
| @TheVampsband | 3,670,659 | Musicians | music, band, tour |
| @radioleary | 2,657,103 | - | - |
| @THEBEAT999FM | 2,396,261 | Radio Host | Entertainment, News, Sports |
| @colortheory | 2,149,329 | Musician | Music, 80s, Synthesizers |
| @SarahMillican75 | 2,115,813 | Comedian | Comedy, Feminism, Pets |
| @6BillionPeople | 2,034,420 | - | - |
| @AmandaHolden | 2,012,290 | Entertainer | Family, Acting, Singing |
| @SiriouslySusan | 1,775,093 | Voice Actor | Voice acting, singing, speaking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,118
Followers With Bio
44,876
Followers Without Bio
55.57%
% With Bio
44.43%
% 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 3,080 analyzed113,329
Combined Engagement
24,737
Total Likes
88,592
Total Retweets
22,666
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @MikeTyson: God came for his champion. So long great one. @MuhammadAli #TheGreatest #RIP https://t.co/jhXyqOuabi
A former member of our group has tragically passed away. He inspired so many with his talent and was taken far too soon. R.I.P Rob 🙏🏼💔
RT @BGT: GUEST ACTS ALERT! @BTS_twt, @JamesArthur23, @JosephMusical, @sixthemusical, @OnYourFeetUk, @SusanBoyle, @mrmichaelball & @Diversit…
Just got off stage, still buzzin from the performance, how sick did the girls do @LittleMix ?! So proud! Defo have to do this again soon!
RT @TheVampsband: HAPPY NEW YEAR!!! Kickstart 2017 with a bang by watching us on @StealTheShowTV with @Diversity_Tweets 7pm on @ITV https:/…
Key Insights & Takeaways
The account often shares emotional and impactful messages, such as condolences for a former member and support for victims of tragedy. It highlights group achievements and performances, which likely drive engagement and loyalty. The account uses hashtags and emojis to enhance emotional connection and reach a broader audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 227,519
- + 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 @Diversity_Tweet reveals an well-established Twitter presence with 227,519 followers. The account demonstrates a content-creator strategy, averaging 167.5 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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