XIX Vodka
Premium Vodka by @sidemen Bottled in the UK 🇬🇧 Please drink responsibly (18+) BUY NOW⬇️
74,847
Followers
13
Following
292
Tweets
1,793.6
Avg Engagement
33
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @xixvodka'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:2021-09-28
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:276
- Avg Likes per Tweet:1,761.3
- Avg Retweets per Tweet:32.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 276 tweetsThe account consistently achieves high engagement, indicating a loyal and active audience. The average likes and retweets per tweet suggest a strong connection with followers.
1,761.3
Avg Likes/Tweet
32.3
Avg Retweets/Tweet
486,122
Total Likes
8,904
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
635
Median Likes
9
Median Retweets
2,121
75th Percentile
29,843
Top Tweet
23.96
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
59.8%
Original
21.0%
Replies
15.9%
Retweets
3.3%
Quotes
0.0%
Threads
0.0%
With Media
75.0%
With Links
2.9%
With #Tags
46.7%
With @Mentions
47.5%
With Emojis
90
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
58.0%
Weekday Posts
42.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 276 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 44 retweets (16% 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 276 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 followersThe audience is likely young adults and vodka enthusiasts interested in celebrity culture and premium brands. They are engaged with content that includes music, pop culture, and brand promotions.
Average
Audience Quality
32.4%
Suspicion Index
41.3%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
44.1%
<10 Tweets
2.9%
Mass Following (>2K)
0.0%
New (<90 days)
75.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
30.9%
<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.
8,329,739
Total Potential Reach
6
Median Follower Reach
28
75th Percentile Reach
1.3%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
31.0%
Creators
15,483 accounts
24.9%
Consumers
12,464 accounts
44.1%
Dormant
22,053 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):
275
Verified Followers
0.37% of total
7,453
Protected Accounts
10.02% of total
4 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 |
|---|---|---|---|
| @KSI | 8,817,035 | Musician | Music, Rap, Collaboration |
| @wroetoshaw | 4,363,842 | Influencer | Gaming, Football, Business |
| @Vikkstar123 | 3,301,532 | YouTuber | YouTube, Gaming, Business |
| @Behzinga | 2,872,824 | YouTuber | Gaming, Football, Content Creation |
| @Tobjizzle | 2,854,685 | YouTuber | Gaming, Sidemen, Music |
| @Lazarbeam | 2,491,569 | YouTuber | Gaming, Comedy, YouTube |
| @ZerkaaHD | 2,364,810 | YouTuber | Gaming, Sidemen, Clothing |
| @Sidemen | 2,207,728 | Content creators | Gaming, Entertainment, Merchandise |
| @CptPuffy | 1,324,970 | Content Creator | Gaming, Content Creation, Wholesome |
| @petercrouch | 1,080,876 | Footballer | Football, Podcasts, Banter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,908
Followers With Bio
36,447
Followers Without Bio
50.98%
% With Bio
49.02%
% 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 276 analyzed95,613
Combined Engagement
94,047
Total Likes
1,566
Total Retweets
19,123
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
That moment JME surprises everyone and takes the mic for Man Don’t Care... 🤯 https://t.co/JHMAAFJz4E
🔥 @BRITs https://t.co/rscyOSwP1q
Birthday Brothers 🥶 Happy birthday @KSI and an early happy birthday to @Behzinga for tomorrow! Celebrating the right way with XIX 🧊 https://t.co/SQ8lHFwXqD
Step into our world… https://t.co/UK4Bd4CQ9p
When @xixvodka met @sidemen. Who will you share your first XIX with? https://t.co/CKnP8JxMup
Key Insights & Takeaways
The account leverages celebrity collaborations to boost visibility and credibility. It uses trending topics and viral moments to drive engagement and maintain relevance. The brand's UK origin and premium positioning are key elements in its marketing strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 74,847
- + 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 @xixvodka reveals an exceptionally influential Twitter presence with 74,847 followers. The account demonstrates a content-creator strategy, averaging 1,793.6 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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