Choriza
🏁 @dragraceukbbc S3🏁 🍊 Bookings, TV & Commercial: 🇬🇧 [email protected] 🇪🇸 [email protected]
74,072
Followers
809
Following
6,936
Tweets
284.6
Avg Engagement
171
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @chorizamay'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:2019-02-28
- Verification:No
- Location:Newcastle Upon Tyne, England
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:232.0
- Avg Retweets per Tweet:52.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,227 tweetsChorizamay's tweets receive high average likes and retweets, indicating a highly engaged audience. Their content resonates well, with a focus on emotional and motivational messaging.
232.0
Avg Likes/Tweet
52.6
Avg Retweets/Tweet
748,780
Total Likes
169,626
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
16
Median Likes
0
Median Retweets
116
75th Percentile
128,080
Top Tweet
3.84
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
27.3%
Original
49.5%
Replies
13.2%
Retweets
10.0%
Quotes
0.0%
Threads
0.9%
With Media
39.9%
With Links
8.0%
With #Tags
72.0%
With @Mentions
43.3%
With Emojis
82
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.81
Reply/Original Ratio
0.76
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,227 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 427 retweets (13% 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 3,227 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 followersTheir audience appears to be interested in drag racing, personal development, and entertainment, with a notable presence of British followers. The audience is likely engaged with motivational content and personal stories.
Average
Audience Quality
22.1%
Suspicion Index
22.8%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.2%
Empty Bio
21.1%
<10 Tweets
12.5%
Mass Following (>2K)
0.0%
New (<90 days)
51.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.2%
No URL
13.4%
<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.
12,986,704
Total Potential Reach
45
Median Follower Reach
195
75th Percentile Reach
6.7%
>1K followers
1.5%
>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).
58.5%
Creators
5,849 accounts
20.4%
Consumers
2,039 accounts
21.1%
Dormant
2,112 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):
41
Verified Followers
0.41% of total
1,335
Protected Accounts
13.35% 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 |
|---|---|---|---|
| @pochoy_29 | 1,659,276 | TV Host | Drag Race, Dabarkads, Eat Bulaga |
| @NOH8Campaign | 800,450 | Activism | equality, bullying, discrimination |
| @IamMzilikazi | 553,037 | Musician | Pan-African music, Album, Rise |
| @MarcuscollinsUK | 525,654 | Performer | Music, LGBTQIA+, Equality |
| @gaymerboyjax | 511,577 | Gamer | Gaming, Boyfriend, 18+ |
| @zammit_marc | 385,731 | Filmmaker | Film, Acting, Producing |
| @Bhytes1 | 323,975 | Drag Queen | Drag, Judge, Booking |
| @robtswthrayguns | 257,513 | Inventor | synthwave, NFT, NSFW |
| @thequeenpri | 177,988 | Drag Queen | Drag, Winner, Booking |
| @TheKandyMuse | 169,871 | Drag Queen | Rupaul's Drag Race, Booking, Muse |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,784
Followers With Bio
3,216
Followers Without Bio
67.84%
% With Bio
32.16%
% 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 3,227 analyzed267,548
Combined Engagement
135,527
Total Likes
132,021
Total Retweets
53,510
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
Let me tell you a fact I learnt: Your school bully has forgotten he bullied you. The narrative in his head is totally different to yours. If you ever bring it up, they’ll be shocked about how much their actions affected you.
RT @ashleytisdale: If I ever get invited to the #MetGala I would replicate one of my past iconic looks… https://t.co/y6ZFT9OBSG
RT @randyshart: Me: brutally murdered and found dumped on the side of the highway Two 35yr old women with a podcast: ok murder muffins we got a real oopy goopy spoopy story for you today! Squarespace ad: ARE YOU LOOKING TO EXPAND Y
So don’t let those words and experiences resonate in your head for any other thing that empower yourself and be the best version of yourself that you can be. You deserve happiness and success. I love you 🧡
Look I’m British! https://t.co/OYIKVVQMp6
Key Insights & Takeaways
Their top tweet highlights the importance of not letting past negativity affect self-worth. They blend personal experiences with motivational advice, which drives engagement. Their content often includes a mix of entertainment and self-improvement themes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 74,072
- + 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 @chorizamay reveals an well-established Twitter presence with 74,072 followers. The account demonstrates a conversation-first approach, averaging 284.6 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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