©SadaBaby™
DO IT FOR ME N NEVER FREE🐐 LLYG🦍 #BigSquad LLWOP‼️ #BigApeGaming ‼️
75,955
Followers
1,102
Following
52,881
Tweets
147.7
Avg Engagement
56
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SkubaBaby'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:2010-11-01
- Verification:No
- Location:East Side
Data Summary
- Tweets Analyzed:3,158
- Avg Likes per Tweet:77.8
- Avg Retweets per Tweet:69.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,158 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and popularity.
77.8
Avg Likes/Tweet
69.9
Avg Retweets/Tweet
245,814
Total Likes
220,691
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
2
Median Retweets
59
75th Percentile
45,466
Top Tweet
1.94
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
29.2%
Original
7.0%
Replies
33.3%
Retweets
30.4%
Quotes
0.0%
Threads
0.1%
With Media
54.6%
With Links
7.5%
With #Tags
44.6%
With @Mentions
43.1%
With Emojis
96
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.91
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.4%
Weekday Posts
33.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,158 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 1,053 retweets (33% 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 3,158 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 young adults interested in pop culture, memes, and casual online interactions.
Average
Audience Quality
22.1%
Suspicion Index
28.2%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.8%
Empty Bio
27.1%
<10 Tweets
12.2%
Mass Following (>2K)
0.0%
New (<90 days)
39.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.2%
No URL
17.7%
<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.
28,418,524
Total Potential Reach
56
Median Follower Reach
251
75th Percentile Reach
7.5%
>1K followers
1.4%
>10K followers
0.5%
>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).
53.1%
Creators
5,310 accounts
19.8%
Consumers
1,981 accounts
27.1%
Dormant
2,709 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):
114
Verified Followers
1.14% of total
1,221
Protected Accounts
12.21% 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 |
|---|---|---|---|
| @JohnCena | 14,096,870 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DeJLoaf | 841,461 | Musician | Music, Fashion, Empowerment |
| @IamMzilikazi | 553,021 | Musician | Pan-African music, Album, Rise |
| @BreadBoi | 510,014 | Music Producer | Music, Bully, Rap |
| @PopWrapped | 497,231 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @MissMajestyN | 387,438 | Influencer | Youtube, Aries, Promotions |
| @honeyswettrap | 370,239 | - | - |
| @TheOnlydani2x | 357,032 | Adult Influencer | Adult content, influencer, brand management |
| @BradleyMartyn | 323,225 | Fitness Influencer | Fitness, Motivation, Lifestyle |
| @kattgarcia___ | 271,660 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,121
Followers With Bio
3,879
Followers Without Bio
61.21%
% With Bio
38.79%
% 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 3,158 analyzed136,638
Combined Engagement
40,789
Total Likes
95,849
Total Retweets
27,328
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
I just be tryna get high n chill 😭 https://t.co/W9oRO3MHCj
RT @lilbiggyrl: Kastellio Demarcus Vaughan AIS # : 00263279 Institution: Elmore Correctional Facility -Call anybody you know that can help GET HIS NAME OUT THERE !! Thank you ❤️ https://t.co/Fi5urtwu8f
RT @ShitpostGate: https://t.co/qwUChSzXaZ
RT @_MyMommaKeeper: I broke bread🥖 when I only had crumbs💔. Don’t speak to me about loyalty💯
RT @KDTrey5: Thank you for setting a great example and playing the game with supreme skill @DeMar_DeRozan
Key Insights & Takeaways
Their content is heavily reliant on humor and relatability, which drives engagement. They frequently engage with other creators and fans, fostering a sense of community. Their use of hashtags and emojis suggests a focus on visibility and casual, informal communication.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,955
- + 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 @SkubaBaby reveals an well-established Twitter presence with 75,955 followers. The account demonstrates a content-creator strategy, averaging 147.7 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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