Craig Revel Horwood
Director, Choreographer, original & longest serving judge on Strictly Come Dancing, Author, Drag Queen and more...
286,231
Followers
785
Following
4,916
Tweets
74.9
Avg Engagement
699
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CraigRevHorwood'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:2010-04-15
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,175
- Avg Likes per Tweet:64.5
- Avg Retweets per Tweet:10.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,175 tweetsHis tweets receive a moderate level of engagement, with an average of 5,932 likes and 159 retweets per tweet. The engagement is likely driven by personal announcements and professional updates.
64.5
Avg Likes/Tweet
10.4
Avg Retweets/Tweet
204,941
Total Likes
33,002
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
25
75th Percentile
34,566
Top Tweet
0.26
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
36.4%
Original
20.1%
Replies
37.8%
Retweets
5.7%
Quotes
0.0%
Threads
0.9%
With Media
47.7%
With Links
22.2%
With #Tags
68.2%
With @Mentions
5.4%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.55
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.7%
Weekday Posts
24.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,175 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 1,201 retweets (38% 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 3,175 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 includes fans of Strictly Come Dancing, followers of his personal brand, and admirers of his work as a choreographer and author. The audience is likely interested in entertainment, fashion, and celebrity culture.
Average
Audience Quality
27.0%
Suspicion Index
37.6%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.8%
Empty Bio
29.5%
<10 Tweets
7.4%
Mass Following (>2K)
0.0%
New (<90 days)
57.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
19.4%
<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.
49,993,427
Total Potential Reach
21
Median Follower Reach
98
75th Percentile Reach
4.0%
>1K followers
0.4%
>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).
46.7%
Creators
23,362 accounts
23.7%
Consumers
11,865 accounts
29.5%
Dormant
14,773 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):
149
Verified Followers
0.15% of total
14,132
Protected Accounts
14.13% of total
8 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 | 14,102,319 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wossy | 4,890,684 | TV Presenter | self-indulgent, Instagram, life |
| @Joe_Sugg | 4,708,680 | Entertainer | Entertainment, Comedy, Theatre |
| @BillBailey | 3,430,869 | Comedian | Comedy, Music, Nature |
| @radioleary | 2,657,399 | - | - |
| @ITV | 2,271,713 | Media | TV, entertainment, news |
| @LouisePentland | 1,827,843 | Influencer | Vlogging, Blogging, Motherhood |
| @Rylan | 1,764,581 | Entertainer | Luxury, Entertainment, Representation |
| @MaxGeorge | 977,640 | Manager | Music, Management, Entertainment |
| @Swannyg66 | 920,317 | Commentator | Cricket, Commentating, Speaking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45,761
Followers With Bio
54,239
Followers Without Bio
45.76%
% With Bio
54.24%
% 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 3,175 analyzed85,490
Combined Engagement
76,782
Total Likes
8,708
Total Retweets
17,098
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
I’ll try darling https://t.co/RBrgfXxFO6
It has been sooooo hard keeping the secret. It’s finally out and so am I! Haha! Thanks everyone on the team for being so fabulous. I loved every second x
I’m in a state of shock this morning, waking up to the news that my gorgeous colleague and friend, Paul O’Grady has passed away. I’m actually reeling in disbelief. He was such a wonderful human being, funny and to the point. Paul, legend, RIP darling.
I very rarely tweet but the absolutely gorgeous Summer did my makeup tonight. I normally do it myself but let her go with her ambition and it was truly fabulous! Thanks Summer you’re amazing even if we were 3 mins from going LIVE and my face didn’t match my newly shaved chest! ❤️
RT @AnnieLennox: I have just signed this petition to #RevokeArticle50 it’s currently gaining 100k signatures an hour! Please join me, sign…
Key Insights & Takeaways
His tweets often highlight personal milestones and emotional moments, indicating a willingness to share personal stories. He frequently mentions his professional roles, suggesting a focus on maintaining his public image and career. The content reflects a blend of personal and professional life, showing a multifaceted personality.
Strengths
- + Established follower base of 286,231
- + Strong original content creation
- + 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 @CraigRevHorwood reveals an growing Twitter presence with 286,231 followers. The account demonstrates a content-creator strategy, averaging 74.9 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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