Neil Callan
Professional Jockey based in the UK .Team Callan. LFC YNWA. Sponsorship and Media enquiries: [email protected]
83,959
Followers
3,252
Following
15,721
Tweets
619.2
Avg Engagement
121
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @neilcallan78'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:2011-05-06
- Verification:No
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,222
- Avg Likes per Tweet:5.1
- Avg Retweets per Tweet:614.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,222 tweetsHis tweets typically receive a moderate number of likes and retweets, indicating a consistent but not overwhelming level of audience interaction.
5.1
Avg Likes/Tweet
614.1
Avg Retweets/Tweet
16,384
Total Likes
1,978,665
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
14
75th Percentile
405,526
Top Tweet
7.37
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
5.1%
Original
23.7%
Replies
66.6%
Retweets
4.6%
Quotes
0.0%
Threads
0.7%
With Media
62.0%
With Links
26.2%
With #Tags
93.5%
With @Mentions
62.8%
With Emojis
149
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.69
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.7%
Weekday Posts
33.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,222 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 2,145 retweets (67% 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 3,222 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 fellow jockeys, racing enthusiasts, and media outlets, as well as fans of Liverpool FC and supporters of his team.
Below Average
Audience Quality
38.0%
Suspicion Index
56.6%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.7%
Empty Bio
58.4%
<10 Tweets
10.3%
Mass Following (>2K)
0.0%
New (<90 days)
69.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.6%
No URL
50.6%
<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.
11,434,927
Total Potential Reach
3
Median Follower Reach
108
75th Percentile Reach
7.5%
>1K followers
1.4%
>10K followers
0.4%
>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).
29.3%
Creators
2,934 accounts
12.3%
Consumers
1,231 accounts
58.4%
Dormant
5,835 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):
76
Verified Followers
0.76% of total
511
Protected Accounts
5.11% 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 |
|---|---|---|---|
| @Liverpool | 571,020 | Sports News | Liverpool FC, news, views |
| @JamesMelville | 437,518 | Consultant | Communications, Sponsorship, Writing |
| @CalumBest | 369,612 | Entrepreneur | Mindfulness, Entrepreneurship, Fitness |
| @hoccgoomusic | 363,031 | Singer-songwriter | Music, Hong Kong, Freedom |
| @RadioX | 327,446 | Radio Broadcaster | Music, Radio, Entertainment |
| @RealRazor | 314,596 | Footballer | Football, Soccer, Sports broadcasting |
| @EssexPR | 289,529 | Pub Owner | Nightlife, Pubs, Events |
| @Jesanchez3 | 284,358 | Footballer | Football, Enquiries, Bearfaced Talent |
| @HarryGoaz | 234,365 | - | - |
| @TWEnclosure | 225,885 | Betting Expert | Horse Racing, Betting Tips, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,733
Followers With Bio
6,267
Followers Without Bio
37.33%
% With Bio
62.67%
% 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 3,222 analyzed727,523
Combined Engagement
0
Total Likes
727,523
Total Retweets
145,505
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Schwarzenegger: I love the Russian people. That is why I have to tell you the truth. Please watch and share. https://t.co/6gyVRhgpFV
RT @NiallOfficial: So Trump is now in a bunker ?? His country is struggling and he’s hiding in a bunker ?
RT @MoSalah: I’m calling on all the world leaders including on the Prime Minister of the country that has been my home for the past 4 years to do everything in their power to make sure the violence and killing of innocent people stops immediately. Enough is enough. @BorisJohnson
RT @DrEricDing: ⚠️THERMONUCLEAR BAD—Hospitals completely overwhelmed in China ever since restrictions dropped. Epidemiologist estimate >60% of 🇨🇳 & 10% of Earth’s population likely infected over next 90 days. Deaths likely in the millions—plural. This is just the start—🧵 h
RT @petergyang: Video of Ukrainian father saying goodbye to his kids while he stays behind to fight. Fuck war. https://t.co/rvIzotI8pE
Key Insights & Takeaways
Neil frequently interacts with media and racing organizations, highlighting his role in the industry. He uses humor and emojis to engage his audience, making his content more relatable. He often comments on events and decisions within the racing world, showing his active involvement and opinions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 83,959
- + 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 @neilcallan78 reveals an well-established Twitter presence with 83,959 followers. The account demonstrates a conversation-first approach, averaging 619.2 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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