Jim Boardman
Football writer @MirrorFootball - https://t.co/EGGJ6lX1p4 #LFC Podcasts for @AnfieldIndexPro. Founded @AnfieldRoad. My opinions.
80,368
Followers
2,552
Following
128,695
Tweets
1,051.6
Avg Engagement
1,257
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JimBoardman'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:2009-03-02
- Verification:No
- Location:Liverpool
Data Summary
- Tweets Analyzed:3,211
- Avg Likes per Tweet:30.7
- Avg Retweets per Tweet:1,020.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,211 tweetsHis tweets typically receive a high number of likes and retweets, indicating a strong and active engagement from his followers.
30.7
Avg Likes/Tweet
1,020.9
Avg Retweets/Tweet
98,590
Total Likes
3,278,002
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
67
75th Percentile
673,062
Top Tweet
13.08
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
20.3%
Original
26.2%
Replies
44.5%
Retweets
9.0%
Quotes
0.0%
Threads
0.5%
With Media
51.4%
With Links
23.4%
With #Tags
68.5%
With @Mentions
12.5%
With Emojis
179
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.29
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
51.9%
Weekday Posts
48.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,211 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 1,429 retweets (45% 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 3,211 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 includes football fans, especially those interested in Liverpool and related teams, as well as individuals who enjoy sports commentary and analysis.
Average
Audience Quality
23.7%
Suspicion Index
22.2%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.0%
Empty Bio
18.8%
<10 Tweets
24.0%
Mass Following (>2K)
0.0%
New (<90 days)
47.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
11.3%
<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.
18,479,240
Total Potential Reach
92
Median Follower Reach
344
75th Percentile Reach
11.0%
>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).
61.9%
Creators
6,188 accounts
19.3%
Consumers
1,928 accounts
18.8%
Dormant
1,884 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):
50
Verified Followers
0.5% of total
983
Protected Accounts
9.83% of total
6 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 |
|---|---|---|---|
| @henrywinter | 1,356,303 | Sports Journalist | Football, Sports, Journalism |
| @scott_mills | 1,257,846 | Radio Host | Entertainment, Music, Radio |
| @RealMattLucas | 1,250,816 | Actor | Comedy, Acting, Television |
| @SadiqKhan | 1,150,309 | Politician | Politics, Environment, London |
| @NHSMillion | 802,187 | Supporters | Gratitude, Support, Campaign |
| @AndyBurnhamGM | 582,713 | Politician | Politics, Manchester, Labour |
| @Liverpool | 571,167 | Sports News | Liverpool FC, news, views |
| @JasonManford | 456,140 | - | - |
| @eliistender10 | 407,895 | Author | Books, Podcasting, Music |
| @maxrushden | 338,565 | Sports Broadcaster | Football, Sports, Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,702
Followers With Bio
3,298
Followers Without Bio
67.02%
% With Bio
32.98%
% 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 3,211 analyzed1,206,187
Combined Engagement
0
Total Likes
1,206,187
Total Retweets
241,237
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening and will return to London tomorrow. https://t.co/VfxpXro22W
RT @Ukraine: https://t.co/IaqFbpayqz
RT @hackingbutlegal: This, out of #Ukraine, is 100% one of the most incredible videos I have ever seen. This Russian POW has the heart of a lion 🦁 https://t.co/KIx1rsN0CZ
RT @UEFA: Following the medical emergency involving Denmark’s player Christian Eriksen, a crisis meeting has taken place with both teams and match officials and further information will be communicated at 19:45 CET. The player has been transferred to the hospital and has been s
RT @ZelenskyyUa: To the world: what is the point of saying «never again» for 80 years, if the world stays silent when a bomb drops on the same site of Babyn Yar? At least 5 killed. History repeating…
Key Insights & Takeaways
He often provides in-depth analysis and commentary on football events and figures, such as Steven Gerrard and Michael Owen. He highlights cultural aspects and fan behaviors, offering a unique perspective on football communities. He engages with a variety of topics, including podcasts and social media interactions, which contribute to his broad appeal.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 80,368
- + 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 @JimBoardman reveals an exceptionally influential Twitter presence with 80,368 followers. The account demonstrates a conversation-first approach, averaging 1,051.6 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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