Ben Jacobs
🎙 Sports Broadcaster | ✍️ FWA & NUJ member | 🦊 #LCFC fan
305,941
Followers
7,665
Following
34,552
Tweets
833.5
Avg Engagement
1,864
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JacobsBen'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:2009-01-29
- Verification:No
- Location:London & New York
Data Summary
- Tweets Analyzed:3,195
- Avg Likes per Tweet:663.8
- Avg Retweets per Tweet:169.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,195 tweetsJacobsBen's tweets typically receive high engagement, with an average of 13k likes and 1.4k retweets per post. His content is well-received, indicating a strong connection with his followers.
663.8
Avg Likes/Tweet
169.7
Avg Retweets/Tweet
2,120,838
Total Likes
542,267
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
204
Median Likes
33
Median Retweets
844
75th Percentile
122,163
Top Tweet
2.72
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
32.1%
Original
48.9%
Replies
15.5%
Retweets
3.5%
Quotes
0.0%
Threads
0.2%
With Media
40.7%
With Links
25.0%
With #Tags
38.5%
With @Mentions
34.8%
With Emojis
194
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.52
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,195 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 496 retweets (16% 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 3,195 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 followersHis audience primarily consists of sports enthusiasts and football fans, particularly those interested in Premier League and international transfers. The audience is likely engaged with real-time sports updates and in-depth analysis.
Average
Audience Quality
23.2%
Suspicion Index
28.7%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.1%
Empty Bio
23.3%
<10 Tweets
9.4%
Mass Following (>2K)
0.0%
New (<90 days)
51.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
14.4%
<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.
41,154,775
Total Potential Reach
38
Median Follower Reach
171
75th Percentile Reach
5.7%
>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).
52.8%
Creators
26,419 accounts
23.9%
Consumers
11,949 accounts
23.3%
Dormant
11,632 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):
456
Verified Followers
0.45% of total
7,995
Protected Accounts
7.92% 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 |
|---|---|---|---|
| @JohnCena | 14,099,699 | Wrestler | Wrestling, Motivation, Self-promotion |
| @piersmorgan | 8,465,913 | Journalist | quotes, media, controversy |
| @empireofthekop | 1,928,819 | Football Fan | Liverpool, football, fans |
| @UnitedStandMUFC | 1,926,809 | Fan Channel | Manchester United, Global Fanbase, Latest News |
| @SinghLions | 1,334,111 | Restaurateur | Food, Travel, Influencer |
| @AnfieldWatch | 1,066,319 | Sports News | Liverpool FC, news, match coverage |
| @gerardromero | 1,061,769 | Sports Journalist | Sports, Radio, Journalism |
| @Juezcentral | 1,004,616 | Sports Journalist | fútbol, datos curiosos, anécdotas |
| @Juninhope08 | 997,156 | Footballer | Football, UEFA, Politics |
| @FrankKhalidUK | 990,576 | Businessman | Chelsea FC, Philanthropy, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,143
Followers With Bio
42,853
Followers Without Bio
57.57%
% With Bio
42.43%
% 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 3,195 analyzed255,814
Combined Engagement
40,357
Total Likes
215,457
Total Retweets
51,163
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @AlNassrFC: الرياضي الأعظـم عالميًا 🌏 يـوقع رسميًا لـ #العالمي 🤩 #رونالدو_نصراوي https://t.co/BBq469mAYh
RT @IanWright0: Everybody knows what Match of the Day means to me, but I’ve told the BBC I won’t be doing it tomorrow. Solidarity.
RT @GarethBale11: https://t.co/NNErxMVGCS
One other thing: if Chelsea do sign Enzo Fernandez, Twitter is going to break. Just FYI @elonmusk
Chelsea have obviously won this transfer window. You have to applaud the ambition of the new ownership group. Todd Boehly and Behdad Eghbali's persistence key to signing Enzo Fernandez. As reported yesterday, Eghbali refused to take no for an answer. He just kept pushing. https:/
Key Insights & Takeaways
JacobsBen often highlights major transfer news and its implications for clubs and players. He provides commentary on managerial decisions and club ownership strategies. His tweets frequently reference high-profile figures like Elon Musk, indicating a broader audience interest beyond football.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 305,941
- + 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 @JacobsBen reveals an well-established Twitter presence with 305,941 followers. The account demonstrates a conversation-first approach, averaging 833.5 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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