Seb Jenkins
Chief Editor at @TheSpursWeb |Freelance Journalist | ✍🏼 Words @SunSport @MailSport @TimesSport @Football_LDN @TheAthletic @FansBet | [email protected] 📧
12,429
Followers
455
Following
7,103
Tweets
102.9
Avg Engagement
160
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SpursWebSeb'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:2020-09-11
- Verification:No
- Location:Tottenham, London
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:85.4
- Avg Retweets per Tweet:17.5
- Followers Analyzed:12,362
Engagement Analysis
Based on 3,250 tweetsTheir tweets typically receive a high number of likes and retweets, indicating strong audience interaction. They often use emojis and hashtags to enhance engagement.
85.4
Avg Likes/Tweet
17.5
Avg Retweets/Tweet
277,500
Total Likes
56,931
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
28
Median Likes
0
Median Retweets
82
75th Percentile
29,801
Top Tweet
8.28
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
33.8%
Original
54.8%
Replies
4.5%
Retweets
6.9%
Quotes
0.0%
Threads
0.1%
With Media
14.4%
With Links
4.9%
With #Tags
30.7%
With @Mentions
31.0%
With Emojis
122
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.62
Reply/Original Ratio
1.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 145 retweets (4% 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 3,250 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 12,362 followersTheir audience includes Tottenham fans, sports journalists, and followers of football news. They also engage with media outlets and sports commentators.
Good
Audience Quality
16.2%
Suspicion Index
20.1%
Low-Quality %
112
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.4%
Empty Bio
11.1%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
31.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
6.9%
<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.
38,805,309
Total Potential Reach
112
Median Follower Reach
336
75th Percentile Reach
9.2%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
74.3%
Creators
9,184 accounts
14.6%
Consumers
1,804 accounts
11.1%
Dormant
1,374 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):
92
Verified Followers
0.74% of total
1,383
Protected Accounts
11.19% of total
7 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 | 14,106,663 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,349 | - | - |
| @LucasMoura7 | 2,963,800 | Footballer | Jesus, Football, Brazil |
| @SteveNash | 2,526,341 | Basketball Player | Basketball, Philanthropy, Community |
| @ernestprakasa | 2,462,551 | - | - |
| @FinnBalor | 1,768,838 | Wrestler | Wrestling, Bálor Club, Instagram |
| @footballdaily | 703,067 | Sports Journalist | Breaking news, press conferences, interviews |
| @DannyAaronsFUT | 535,514 | - | - |
| @eurofootcom | 422,382 | Sports Media | Football, Europe, Home |
| @jstorres | 401,172 | Banker | Author, Soccer, Blockchain |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,231
Followers With Bio
4,131
Followers Without Bio
66.58%
% With Bio
33.42%
% 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 3,250 analyzed49,461
Combined Engagement
3,741
Total Likes
45,720
Total Retweets
9,892
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @GarethBale11: https://t.co/6xKUl49MlH
RT @SpursOfficial: dsfasmhdfbasdfkjb
RT @sergio_regui: I'll be back in a few days. Don't sell me in @OfficialFPL 😂❤️ https://t.co/AByzlwV49M
RT @SpursOfficial: We are devastated to announce that fitness coach Gian Piero Ventrone has passed away. He will be greatly missed by everyone at the Club and our thoughts are with his family and friends at this impossibly sad time.
My biggest pet peeve is when publications, pundits and commentators call Harry Kane the Tottenham captain. Hugo Lloris has only had the armband for like 8 years 😂
Key Insights & Takeaways
They are passionate about Tottenham players like Harry Kane and Heung-min Son, often expressing personal opinions and preferences. They frequently engage with sports media outlets and use them as part of their content strategy. They highlight specific player performances and moments, which resonate well with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,429
- + 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 @SpursWebSeb reveals an well-established Twitter presence with 12,429 followers. The account demonstrates a conversation-first approach, averaging 102.9 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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