Rob Elliot
technical director/coach/possibly player @gatesheadfc sponsored by @theonegloveco . Instagram @Robelliotofficial
96,853
Followers
1,138
Following
6,694
Tweets
594.9
Avg Engagement
276
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @the_dilsh'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:2010-12-18
- Verification:No
- Location:newcastle
Data Summary
- Tweets Analyzed:3,156
- Avg Likes per Tweet:82.8
- Avg Retweets per Tweet:512.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,156 tweetsThe_dilsh's tweets receive high engagement, with an average of 5,304 likes and 658 retweets, indicating a loyal and active follower base.
82.8
Avg Likes/Tweet
512.1
Avg Retweets/Tweet
261,268
Total Likes
1,616,108
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
47
75th Percentile
631,330
Top Tweet
6.14
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
26.3%
Original
15.0%
Replies
41.6%
Retweets
17.1%
Quotes
0.0%
Threads
0.6%
With Media
60.6%
With Links
25.6%
With #Tags
66.4%
With @Mentions
36.0%
With Emojis
128
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.3%
Weekday Posts
34.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,156 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 1,314 retweets (42% 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 3,156 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 includes football fans, especially those connected to Gateshead FC and Newcastle United, as well as general sports enthusiasts.
Average
Audience Quality
26.5%
Suspicion Index
27.8%
Low-Quality %
44
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.0%
Empty Bio
27.4%
<10 Tweets
17.2%
Mass Following (>2K)
0.0%
New (<90 days)
56.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
16.6%
<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.
7,953,479
Total Potential Reach
44
Median Follower Reach
190
75th Percentile Reach
5.8%
>1K followers
0.6%
>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).
48.0%
Creators
4,797 accounts
24.7%
Consumers
2,468 accounts
27.4%
Dormant
2,735 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):
32
Verified Followers
0.32% of total
747
Protected Accounts
7.47% of total
4 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 |
|---|---|---|---|
| @WatfordFC | 906,474 | Football Club | Football, Hornets, Women |
| @thedavidseaman | 445,423 | Footballer | Football, England, Trophies |
| @Moreno | 430,886 | Influencer | Business, Manager, Serious |
| @Chris_Stark | 428,428 | - | - |
| @BenFoster | 341,187 | Footballer | Football, Cycling, Media |
| @AndyTCarroll | 279,570 | Footballer | Football, Family, Fitness |
| @JulianMarley | 271,982 | Musician | Reggae, Music, Family |
| @Ian_Bell | 248,997 | Cricketer | cricket, Aston Villa, family |
| @samjohnstone | 195,077 | Footballer | Football, Goalkeeping, Fitness |
| @Kevin__Davies | 155,572 | Football Agent | Football, Intermediary, Coaching |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,102
Followers With Bio
3,898
Followers Without Bio
61.02%
% With Bio
38.98%
% 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 3,156 analyzed1,019,578
Combined Engagement
0
Total Likes
1,019,578
Total Retweets
203,916
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @linkinpark: https://t.co/yoN80Mobdk
RT @captaintommoore: https://t.co/4QHUcwrHiH
RT @FloydMayweather: Manny Pacquiao I'm calling you out let's fight May 5th and give the world what they want to see.
RT @jxpex_: University of Texas did an advertisment 9 years ago about dropping cigarette butts on the floor and I don’t think it got enough attention because I still constantly see people complaining about getting fined for it... this is what potentially happens when you do, plea
RT @MrAndrewCotter: I was bored. https://t.co/bVoC0hyNzC
Key Insights & Takeaways
The_dilsh often shares personal and emotional content, which resonates with followers. They maintain a strong connection with the football community, especially fans of Gateshead FC. Their content includes both professional and personal elements, creating a relatable and authentic image.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 96,853
- + 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 @the_dilsh reveals an well-established Twitter presence with 96,853 followers. The account demonstrates a content-creator strategy, averaging 594.9 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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