Rob Lee
ex Charlton, Newcastle, Derby West Ham and England 🏴 ⚽️ https://www.facebook.com/unsupportedbrowser
73,815
Followers
350
Following
6,010
Tweets
142.1
Avg Engagement
200
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @7RobLee'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:2013-08-09
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,173
- Avg Likes per Tweet:112.2
- Avg Retweets per Tweet:29.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,173 tweetsHis tweets receive an average of 4,887 likes and 464 retweets, indicating strong interaction from his followers. The high engagement rate highlights his popularity and relevance in the football space.
112.2
Avg Likes/Tweet
29.9
Avg Retweets/Tweet
356,000
Total Likes
94,854
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
24
75th Percentile
15,434
Top Tweet
1.92
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
17.1%
Original
52.7%
Replies
29.4%
Retweets
0.8%
Quotes
0.0%
Threads
0.6%
With Media
35.3%
With Links
20.5%
With #Tags
93.4%
With @Mentions
65.0%
With Emojis
98
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.07
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.2%
Weekday Posts
33.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,173 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 933 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 3,173 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 primarily consists of football enthusiasts and fans of his former clubs. The engagement suggests a loyal following that appreciates his personal and professional updates.
Average
Audience Quality
26.4%
Suspicion Index
36.9%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.9%
Empty Bio
32.1%
<10 Tweets
9.4%
Mass Following (>2K)
0.0%
New (<90 days)
50.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
20.9%
<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.
27,050,546
Total Potential Reach
29
Median Follower Reach
121
75th Percentile Reach
3.5%
>1K followers
0.4%
>10K followers
0.1%
>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).
43.3%
Creators
4,328 accounts
24.6%
Consumers
2,462 accounts
32.1%
Dormant
3,210 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):
41
Verified Followers
0.41% of total
810
Protected Accounts
8.1% 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 |
|---|---|---|---|
| @VancityReynolds | 21,445,956 | Actor | gin, mobile, soccer |
| @RMcElhenney | 1,116,308 | Actor | Football, Co-Chairman, Oldest |
| @HecheJohn | 699,067 | Politician | Politics, Leadership, Public Service |
| @IamMzilikazi | 553,145 | Musician | Pan-African music, Album, Rise |
| @5liveSport | 416,789 | Sports Broadcasting | sport, coverage, analysis |
| @OldDaysFootball | 189,156 | Football Historian | Football, Memories, Sharing |
| @afowler06 | 111,573 | Professional Boxer | Boxing, Olympics, Professional Fighting |
| @tomfordyce | 84,097 | Writer | Sports, Writing, Podcasting |
| @AdamLeventhal | 81,102 | Journalist | Journalism, Broadcasting, Sports |
| @IndianSportFan | 73,044 | Sports Fan | Sports, Fans, Respect |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,706
Followers With Bio
5,294
Followers Without Bio
47.06%
% With Bio
52.94%
% 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 3,173 analyzed53,357
Combined Engagement
12,374
Total Likes
40,983
Total Retweets
10,671
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @ordinaryish: This dog saved his family in a fire and for every retweet Twitter will donate £1 to get this dog's face fixed 🤔👀👍 https://t.co/KScJSZOxg8
RT @GaryLineker: So Wayne Shaw, who slept on a sofa 3 nights a week at Sutton to maintain and run the place loses his job over #piegate. FFS!
RT @LordAshcroft: Words fail me...please retweet if you feel the same.., https://t.co/nv5vRv392l
Take over complete 👏🏼👏🏼👏🏼👏🏼🍺🍺🍷🍷 https://t.co/COccJcbvzC
The lees, speeds and shearer boys together again !! @OllyLee7 @ElliotLee9 @willshearer9 https://t.co/NnsxLXDXeV
Key Insights & Takeaways
He leverages his personal brand and football history to connect with fans His content often includes emotional and nostalgic elements, such as his love for Newcastle and his roots in London He uses hashtags and mentions to engage with other players and fans
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 73,815
- + 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 @7RobLee reveals an well-established Twitter presence with 73,815 followers. The account demonstrates a conversation-first approach, averaging 142.1 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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