Savage Life
425.394
Followers
3.104
Following
6.331
Tweets
338,9
Avg Engagement
682
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OfficialWebbie'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:2010-10-18
- Verification:No
- Location:Nation Wide
Data Summary
- Tweets Analyzed:2.922
- Avg Likes per Tweet:102,8
- Avg Retweets per Tweet:236,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 2.922 tweetsThe account consistently receives high engagement, indicating a loyal and active fanbase. The use of hashtags and viral content helps drive interaction and visibility.
102,8
Avg Likes/Tweet
236,1
Avg Retweets/Tweet
300.334
Total Likes
689.844
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
46
75th Percentile
76.073
Top Tweet
0,8
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
20,4%
Original
18,0%
Replies
61,4%
Retweets
0,1%
Quotes
0,0%
Threads
0,1%
With Media
29,7%
With Links
10,3%
With #Tags
81,8%
With @Mentions
35,8%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,88
Reply/Original Ratio
0,0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79,7%
Weekday Posts
20,3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2.922 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 1.794 retweets (61% 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 2.922 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 appears to be young and culturally aware, likely interested in street culture, slang, and edgy content. They are active on social media and engage with trending topics and memes.
Average
Audience Quality
27,1%
Suspicion Index
28,3%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34,1%
Empty Bio
34,8%
<10 Tweets
8,9%
Mass Following (>2K)
0,0%
New (<90 days)
63,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
89,3%
No URL
22,5%
<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.
20.229.024
Total Potential Reach
18
Median Follower Reach
98
75th Percentile Reach
4,0%
>1K followers
0,3%
>10K followers
0,1%
>50K followers
0,1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
39,7%
Creators
19.870 accounts
25,5%
Consumers
12.734 accounts
34,8%
Dormant
17.396 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):
501
Verified Followers
0.5% of total
11.585
Protected Accounts
11.47% of total
6 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 |
|---|---|---|---|
| @PostMalone | 7.012.905 | Musician | Music, Tattoos, Beer |
| @TRINArockstarr | 2.470.184 | Rapper | - |
| @6BillionPeople | 2.036.074 | - | - |
| @KameronBennett | 1.812.905 | DJ | Music, DJing, Booking |
| @DailyLoud | 1.677.063 | Music Blogger | Hip-Hop, Music, Updates |
| @Akademiks | 1.441.524 | Commentator | Music, Hip-hop, Entertainment |
| @nojumper | 1.283.552 | Podcaster | Podcast, Host, Coolest |
| @JDaIey | 1.228.585 | Owner | Esports, Gaming, Sponsorship |
| @plies | 1.025.684 | Rapper | Music, Entertainment, Videos |
| @rogerhamilton | 928.873 | Entrepreneur | education, entrepreneurship, futurism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67.855
Followers With Bio
33.144
Followers Without Bio
67.18%
% With Bio
32.82%
% 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 2.922 analyzed226.471
Combined Engagement
76.180
Total Likes
150.291
Total Retweets
45.294
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @OsoLane: Never judge a book by the cover. Don't assume anything. Look at everybody with compassion and love. https://t.co/B4p5wjodol
I-M-P-E-A-C-H-M-E-N-T do you know what that mean mane! #Savagelife6 https://t.co/Sbq0w272L7
RT @ThatGuyAlex89: Ayo who pissed boosie off before the video shoot? 😂😂😂😂😂 https://t.co/s2RCsjUse7
We on y’all ass too!! https://t.co/Oc5qM1AFYW
My nigga 4L 💯🖤 #savagelife https://t.co/tvF3Noo9Qk
Key Insights & Takeaways
The account uses slang and provocative language to connect with its audience. It leverages trending topics and memes to boost engagement. The content often includes hashtags that align with its brand and community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 425.394
- + 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 @OfficialWebbie reveals an well-established Twitter presence with 425.394 followers. The account demonstrates a content-creator strategy, averaging 338,9 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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