Bobby Vincent
Chelsea writer for @Football_LDN. Views my own.
17,665
Followers
535
Following
8,413
Tweets
107.0
Avg Engagement
159
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BobbyVincentFL'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:2018-01-31
- Verification:No
- Location:Chippenham, England
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:37.3
- Avg Retweets per Tweet:69.7
- Followers Analyzed:11,156
Engagement Analysis
Based on 500 tweetsThe account maintains a consistent engagement rate with an average of 332 likes and 32 retweets per tweet. The engagement is moderate, suggesting a dedicated but not overly active follower base.
37.3
Avg Likes/Tweet
69.7
Avg Retweets/Tweet
18,638
Total Likes
34,865
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
1
Median Retweets
43
75th Percentile
16,578
Top Tweet
6.06
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
66.4%
Original
24.4%
Replies
7.8%
Retweets
1.4%
Quotes
0.0%
Threads
0.0%
With Media
49.2%
With Links
88.0%
With #Tags
14.6%
With @Mentions
13.2%
With Emojis
112
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
47.8%
Weekday Posts
52.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 39 retweets (8% 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 500 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 11,156 followersThe audience is likely football fans, particularly those interested in Chelsea and the Premier League. The content appeals to fans looking for detailed analysis and exclusive updates on club matters.
Average
Audience Quality
20.5%
Suspicion Index
18.7%
Low-Quality %
93
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.5%
Empty Bio
12.8%
<10 Tweets
19.4%
Mass Following (>2K)
0.0%
New (<90 days)
45.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
7.0%
<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.
34,286,633
Total Potential Reach
93
Median Follower Reach
329
75th Percentile Reach
10.2%
>1K followers
1.5%
>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).
68.4%
Creators
7,630 accounts
18.8%
Consumers
2,095 accounts
12.8%
Dormant
1,431 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):
197
Verified Followers
1.77% of total
889
Protected Accounts
7.97% of total
5 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 |
|---|---|---|---|
| @FabrizioRomano | 14,416,564 | Journalist | Football, Transfers, News |
| @David_Ornstein | 1,883,062 | Football Correspondent | - |
| @gyaigyimii | 1,336,612 | Host | Business, Host, Space |
| @idextratime | 665,423 | Sports Journalist | Sampah, Laknat, Business |
| @AbsoluteChelsea | 615,199 | Sports Journalist | Football, Chelsea FC, Analysis |
| @CFCDaily | 572,409 | Football Blogger | Chelsea, MHL, STH |
| @CFCMod_ | 515,591 | Moderator | Football, Chelsea FC, Modelling |
| @LDNFootbalI | 455,202 | Football Analyst | European Football, Chelsea FC, London |
| @ChelseaFC_Sp | 454,498 | Sports Team | Football, Chelsea FC, Spanish |
| @AlexGoldberg_ | 449,219 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,751
Followers With Bio
3,405
Followers Without Bio
69.48%
% With Bio
30.52%
% 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 500 analyzed32,787
Combined Engagement
696
Total Likes
32,091
Total Retweets
6,557
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @ChelseaFC: Frank Lampard returns as Caretaker Manager until the end of the season. 🤝
RT @SpursOfficial: Club announcement.
RT @ChelseaFCW: LYON MISS! WE’RE THROUGH TO THE CHAMPIONS LEAGUE SEMI-FINAL!!!!!!!!! #UWCL
RT @FCBayernEN: Thomas Tuchel will receive a contract until 30th June 2025 and will supervise squad training for the first time on Monday.…
Exclusive: Understand Liverpool are seriously interested in Mason Mount this summer as talks over his Chelsea contract continue to stall. Both Manchester clubs have shown interest, but #LFC, I'm told, is a serious possibility. #CFC https://t.co/ZCfKXgRpK1
Key Insights & Takeaways
The account frequently shares exclusive content on Chelsea's transfer activities and player contracts. It highlights key players and potential transfers, such as Mason Mount and Romeo Lavia. The content is tailored to fans seeking in-depth analysis and insider information on Chelsea's football operations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 17,665
- + 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 @BobbyVincentFL reveals an well-established Twitter presence with 17,665 followers. The account demonstrates a content-creator strategy, averaging 107.0 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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