Soup
honky | band - @slackjawmetal | podcast - @goonspc
393,426
Followers
409
Following
27,957
Tweets
1,393.1
Avg Engagement
149
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sniping_Soup'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:2012-01-28
- Verification:No
- Location:South Carolina, USA
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:1,323.7
- Avg Retweets per Tweet:69.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsSniping_Soup's tweets receive high engagement, with an average of 15k likes and 1.2k retweets per tweet. Their content is well-received and widely shared.
1,323.7
Avg Likes/Tweet
69.4
Avg Retweets/Tweet
4,299,356
Total Likes
225,539
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
616
Median Likes
8
Median Retweets
1,864
75th Percentile
38,439
Top Tweet
3.54
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
46.3%
Original
48.6%
Replies
4.1%
Retweets
1.1%
Quotes
0.0%
Threads
0.3%
With Media
51.9%
With Links
1.4%
With #Tags
55.7%
With @Mentions
5.1%
With Emojis
54
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.05
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 132 retweets (4% 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 3,248 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 primarily consists of music and podcast enthusiasts. They are likely interested in entertainment, culture, and community-driven content.
Average
Audience Quality
33.9%
Suspicion Index
44.0%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.6%
Empty Bio
51.3%
<10 Tweets
2.0%
Mass Following (>2K)
0.0%
New (<90 days)
75.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.5%
No URL
36.4%
<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.
7,705,954
Total Potential Reach
4
Median Follower Reach
16
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.1%
>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).
23.5%
Creators
11,759 accounts
25.2%
Consumers
12,593 accounts
51.3%
Dormant
25,648 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):
243
Verified Followers
0.24% of total
8,483
Protected Accounts
8.48% of total
2 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 |
|---|---|---|---|
| @weirddalle | 1,356,988 | - | - |
| @ShitpostGate | 799,522 | Meme curator | Memes, Cool, Guns |
| @iownjd | 778,366 | Lawyer | learn, inspire, engage |
| @BreakingBadIrny | 669,592 | Meme Creator | ironic memes, breaking bad |
| @SlimJim | 492,658 | Snack Influencer | meat, long boi, champions |
| @SHITFROMFEAR | 471,745 | Horror Blogger | Horror, Fear, Submissions |
| @DonutOperator | 445,901 | YouTuber | gaming, food, beer |
| @Nux_Taku | 402,732 | YouTuber | Anime, Memes, Gaming |
| @zammit_marc | 387,818 | Filmmaker | Film, Acting, Producing |
| @RadioShack | 377,499 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,567
Followers With Bio
49,433
Followers Without Bio
50.57%
% With Bio
49.43%
% 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 3,248 analyzed128,889
Combined Engagement
84,949
Total Likes
43,940
Total Retweets
25,778
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @suckerxpunch: listen to me,,,, when i tell you i can’t breathe this is so funny https://t.co/k0kXlP5QDX
https://t.co/8C1l0KRFm5
https://t.co/dXeLVpnzmr
https://t.co/vlWsOs7Pr5
https://t.co/v2Op2GesK0
Key Insights & Takeaways
Their music band and podcast are central to their brand identity They maintain a consistent and active presence on Twitter They focus on engaging with their community through shared interests
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 393,426
- + 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 @Sniping_Soup reveals an exceptionally influential Twitter presence with 393,426 followers. The account demonstrates a conversation-first approach, averaging 1,393.1 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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