Joshua Stacey
Horse racing @RacingTV Podcaster @LetsTaIkRacing | Views my own 📥 [email protected]
54,653
Followers
3,330
Following
15,393
Tweets
76.0
Avg Engagement
151
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheRacingJosh'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:2018-10-08
- Verification:No
- Location:England, United Kingdom
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:72.7
- Avg Retweets per Tweet:3.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsTheRacingJosh's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared within the racing community.
72.7
Avg Likes/Tweet
3.3
Avg Retweets/Tweet
236,210
Total Likes
10,582
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
76
75th Percentile
6,611
Top Tweet
1.39
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
34.0%
Original
57.3%
Replies
6.2%
Retweets
2.5%
Quotes
0.0%
Threads
0.5%
With Media
23.1%
With Links
2.1%
With #Tags
70.6%
With @Mentions
37.3%
With Emojis
110
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.69
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 202 retweets (6% 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 3,247 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 is primarily interested in horse racing, with a focus on professional commentary and event coverage. The audience appears to be engaged with both his content and interactions.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
83
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
100.0%
<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.
5,783,067
Total Potential Reach
83
Median Follower Reach
260
75th Percentile Reach
5.0%
>1K followers
0.5%
>10K followers
0.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,154
Protected Accounts
11.54% 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 |
|---|---|---|---|
| @LeBronJames | 926,233 | - | - |
| @paul_steele | 641,949 | Travel Blogger | Travel, hiking, photography |
| @SteveComisar | 149,685 | Actor | Actor, Comedy, Entertainment |
| @itvracing | 136,794 | Sports Broadcasting | Horse racing, TV, Social media |
| @racingtips | 116,636 | Tipster | racing, tips, news |
| @FootbaIlFriend | 94,226 | Sports Content Creator | Football, Sporting Vines, Videos |
| @KingsTopTips | 91,360 | - | - |
| @ltsNotSoccer | 88,669 | Content Creator | Funny Vines, Gifs, Sports |
| @neilcallan78 | 84,659 | Jockey | Horse racing, Liverpool FC, Brand Ambassador |
| @olibellracing | 53,903 | Presenter | Horse racing, TV presenting, Charity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,913
Followers With Bio
5,087
Followers Without Bio
49.13%
% With Bio
50.87%
% 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 3,247 analyzed24,685
Combined Engagement
23,767
Total Likes
918
Total Retweets
4,937
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
If it was my decision he’d be banned from every racecourse for life! https://t.co/ZO9OTYAHr1
17 months since the City game… Can’t wait to be back at Old Trafford on Saturday @ManUtd 🇾🇪 https://t.co/lqbwkr6U3r
This. Altior. https://t.co/uEZNZPod8o
Cheltenham Festival Day 1 tips: 🏇 1:30 Constitution Hill 11/4 🏇 2:10 Blue Lord 4/1 🏇 2:50 Fantastikas 14/1 EW / Gericault Roque 12/1 EW 🏇 3:30 Honeysuckle (no bet) 🏇 4:10 Telmesomethinggirl 10/3 🏇 4:50 The Tide Turns 7/1 🏇 5:30 Run Wild Fred 2/1 Good luck all!
Cheltenham Festival Day 1 tips: 🏇 1:30 High Definition 14/1 EW 🏇 2:10 Jonbon 7/4 🏇 2:50 Corach Rambler 7/1 EW 🏇 3:30 (no bet) 🏇 4:10 Marie’s Rock 11/4 + Shewearsitwell 25/1 EW 🏇 4:50 Byker 7/1 EW + Metamorpheus 20/1 EW 🏇 5:30 Gaillard Du Mesnil 1/1 Good luck to you all!
Key Insights & Takeaways
He frequently shares strong opinions on racing issues, which can influence his audience's views. He connects with fans by referencing specific events and locations, such as Old Trafford. He promotes his podcast and email, indicating a focus on building a personal brand and audience engagement.
Strengths
- + Established follower base of 54,653
- + 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 @TheRacingJosh reveals an growing Twitter presence with 54,653 followers. The account demonstrates a conversation-first approach, averaging 76.0 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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