Zakoby McClain
God first #LLGMA #LLG5 🕊
13,026
Followers
2,388
Following
2,504
Tweets
968.9
Avg Engagement
47
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RicochetRabbit'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:2012-12-23
- Verification:No
- Location:Valdosta, GA
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:301.0
- Avg Retweets per Tweet:667.9
- Followers Analyzed:13,355
Engagement Analysis
Based on 597 tweetsRicochetRabbit's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content resonates emotionally with followers.
301.0
Avg Likes/Tweet
667.9
Avg Retweets/Tweet
179,707
Total Likes
398,747
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
9
Median Retweets
327
75th Percentile
174,521
Top Tweet
74.38
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
19.4%
Original
22.3%
Replies
34.5%
Retweets
23.8%
Quotes
0.0%
Threads
0.0%
With Media
51.4%
With Links
14.9%
With #Tags
60.6%
With @Mentions
53.1%
With Emojis
59
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.15
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.5%
Weekday Posts
32.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 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 206 retweets (35% 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 597 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 13,355 followersThe audience primarily consists of Auburn University fans and sports enthusiasts. They are likely interested in college football and related discussions.
Good
Audience Quality
16.2%
Suspicion Index
18.4%
Low-Quality %
147
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.8%
Empty Bio
12.4%
<10 Tweets
15.9%
Mass Following (>2K)
0.0%
New (<90 days)
28.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.3%
No URL
7.0%
<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.
40,334,837
Total Potential Reach
147
Median Follower Reach
467
75th Percentile Reach
12.6%
>1K followers
2.3%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.9%
Creators
9,334 accounts
17.7%
Consumers
2,363 accounts
12.4%
Dormant
1,658 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):
288
Verified Followers
2.16% of total
1,399
Protected Accounts
10.48% 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 |
|---|---|---|---|
| @alispagnola | 2,352,823 | Musician | Music, Comedy, Fitness |
| @Statusbrew | 2,119,771 | Social Media Manager | social media, publishing, engagement |
| @6BillionPeople | 2,038,026 | - | - |
| @Ravens | 1,844,998 | Sports Team | football, community, promotions |
| @KameronBennett | 1,809,533 | DJ | Music, DJing, Booking |
| @DailyLoud | 1,620,044 | Music Blogger | Hip-Hop, Music, Updates |
| @MurrayNewlands | 1,520,886 | Contributor | pop art, art, entrepreneurship |
| @JDaIey | 1,226,272 | - | - |
| @CoachButchJones | 1,152,439 | Football Coach | Football, Coaching, Family |
| @kenradio | 881,012 | Radio Host | Networking, Entrepreneurship, Radio Broadcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,370
Followers With Bio
3,985
Followers Without Bio
70.16%
% With Bio
29.84%
% 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 597 analyzed301,097
Combined Engagement
64,752
Total Likes
236,345
Total Retweets
60,219
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @RomeTheTrainer_: Crazy that I ain’t heard nothing about this and it happened over 24 hours ago... https://t.co/cahZcbbqGN
So I suppose to just let him score 🤣🤦🏾♂️ https://t.co/WBAHM4ewpO
RT @cosyluv: START A FRIENDSHIP BEFORE Y'ALL GET INTO A RELATIONSHIP
RT @IAmSteveHarvey: Every loss ain’t a loss… don’t let that go over your head. Read that again. Count your blessings 💯
RT @theDYNAMICS: And just like that. A new career. https://t.co/xWbMUHL6iF
Key Insights & Takeaways
Their tweets often express deep emotional connections to Auburn, showing a strong sense of loyalty and pride. They engage in discussions about sports policies and decisions, indicating a critical and informed audience. Their use of verified status and hashtags suggests an effort to build credibility and community around their content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 13,026
- + 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 @RicochetRabbit reveals an well-established Twitter presence with 13,026 followers. The account demonstrates a conversation-first approach, averaging 968.9 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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