KILL CLIFF
America's #1 clean energy drink company. Zero sugar. Killer taste. Official partner of the @NAVYSEALFND. Veteran Owned
97,021
Followers
655
Following
39,942
Tweets
221.6
Avg Engagement
241
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KILLCLIFF'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:2009-07-15
- Verification:No
- Location:Atlanta, GA
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:10.5
- Avg Retweets per Tweet:211.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,202 tweetsKILLCLIFF's tweets receive moderate to high engagement, with an average of 416 likes and 58 retweets. The brand effectively uses hashtags and collaborates with influencers to boost visibility.
10.5
Avg Likes/Tweet
211.1
Avg Retweets/Tweet
33,765
Total Likes
675,882
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
17
75th Percentile
120,202
Top Tweet
2.28
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
41.3%
Original
41.6%
Replies
12.6%
Retweets
4.5%
Quotes
0.0%
Threads
1.4%
With Media
59.3%
With Links
34.9%
With #Tags
66.0%
With @Mentions
14.2%
With Emojis
92
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.36
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 3,202 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 404 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 3,202 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 9,998 followersThe primary audience includes health-conscious individuals, fitness enthusiasts, and military veterans. KILLCLIFF also targets younger demographics through social media and lifestyle content.
Average
Audience Quality
22.1%
Suspicion Index
24.8%
Low-Quality %
62
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.4%
Empty Bio
17.6%
<10 Tweets
18.1%
Mass Following (>2K)
0.0%
New (<90 days)
44.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.1%
No URL
11.2%
<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.
32,645,850
Total Potential Reach
62
Median Follower Reach
242
75th Percentile Reach
7.9%
>1K followers
1.9%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.1%
Creators
6,310 accounts
19.3%
Consumers
1,926 accounts
17.6%
Dormant
1,762 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):
187
Verified Followers
1.87% of total
1,264
Protected Accounts
12.64% 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 | 14,093,042 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RexChapman | 1,253,781 | Commentator | Basketball, Horse racing, Commentary |
| @KalaniBallFree | 1,240,765 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @KontrolFreek | 894,354 | Gaming influencer | gaming, improvement, orders |
| @TonyFergusonXT | 804,383 | MMA Fighter | Faith, Family, Crew |
| @RealMattCouch | 636,747 | Political Analyst | Christian, Investigator, Political Analyst |
| @codeofvets | 408,669 | - | - |
| @LaceyEvansWWE | 408,412 | - | - |
| @Ranal55 | 393,903 | Writer | writing, composing, quotes |
| @Jon_Anik | 347,517 | Sports Commentator | UFC, Father, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,159
Followers With Bio
3,841
Followers Without Bio
61.59%
% With Bio
38.41%
% 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 3,202 analyzed341,160
Combined Engagement
0
Total Likes
341,160
Total Retweets
68,232
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @MojoCrowe: It's the simple things that can make one's day! ☺️ https://t.co/xsBx1dPUiq
RT @SortaBad: when the foot locker employee finds an extra pair of the sold out shoes for you in the back https://t.co/8SUqpsLmRO
RT @Yoda4ever: Good boy got escorted out of the jiu-jitsu match for protecting the owner...🐕🐾🥋😅 https://t.co/zYwsIU3Msx
RT @ufc: Legendary. https://t.co/adLnh73AMr
RT @CraigWeekend: https://t.co/VuVOp8h3AZ
Key Insights & Takeaways
The brand emphasizes clean energy and health with zero sugar, appealing to health-conscious consumers. KILLCLIFF leverages military and veteran partnerships to build trust and credibility. Collaborations with influencers and lifestyle content help drive engagement and brand awareness.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,021
- + 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 @KILLCLIFF reveals an well-established Twitter presence with 97,021 followers. The account demonstrates a conversation-first approach, averaging 221.6 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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