Austin Hargrave
Disappointing my family & loved ones on YouTube since 2009. PeanutButterGamer / PBG & Peebs on YouTube. Business: [email protected]
332,250
Followers
986
Following
36,261
Tweets
431.1
Avg Engagement
513
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PeanutButterGmr'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:2009-07-25
- Verification:No
- Location:Seattle
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:382.1
- Avg Retweets per Tweet:49.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsPeanutButterGmr's tweets receive an average of 34,909 likes and 3,158 retweets, indicating strong audience interaction. Their content is well-received and often shared across platforms.
382.1
Avg Likes/Tweet
49.0
Avg Retweets/Tweet
1,238,444
Total Likes
158,649
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
28
Median Likes
0
Median Retweets
175
75th Percentile
76,117
Top Tweet
1.3
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
11.4%
Original
83.1%
Replies
3.7%
Retweets
1.8%
Quotes
0.0%
Threads
0.1%
With Media
20.2%
With Links
0.7%
With #Tags
84.6%
With @Mentions
7.8%
With Emojis
86
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
7.32
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.4%
Weekday Posts
28.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 120 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 3,241 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 gaming enthusiasts and fans of humor-based content. They are likely aged 18-35 and interested in gaming, memes, and entertainment.
Average
Audience Quality
22.8%
Suspicion Index
18.8%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.9%
Empty Bio
21.9%
<10 Tweets
8.3%
Mass Following (>2K)
0.0%
New (<90 days)
65.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.0%
No URL
14.7%
<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.
37,838,281
Total Potential Reach
18
Median Follower Reach
72
75th Percentile Reach
2.3%
>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).
58.8%
Creators
29,381 accounts
19.3%
Consumers
9,649 accounts
21.9%
Dormant
10,970 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):
268
Verified Followers
0.27% of total
8,611
Protected Accounts
8.53% of total
5 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 | 14,103,404 | Wrestler | Wrestling, Motivation, Self-promotion |
| @tommyinnit | 4,220,900 | Gamer | Gaming, Influencer, Content Creator |
| @TubboLive | 3,625,893 | Comedian | Comedy, Passion Project, Business |
| @KameronBennett | 1,812,769 | DJ | Music, DJing, Booking |
| @UnusualVideos | 1,519,415 | Content Creator | Funny, Creative, Entertaining |
| @vgdunkey | 1,314,536 | YouTuber | Video Games, Comedy, Reviews |
| @inugamikorone | 1,255,951 | Virtual YouTuber | Gaming, Virtual YouTuber, Hololive |
| @image_origins | 1,152,438 | - | - |
| @CallMeCarsonYT | 1,104,008 | YouTuber | Gaming, Comedy, Memes |
| @ironmouse | 812,624 | Vtuber | Vtuber, ironmouseart, Demon Queen |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
78,795
Followers With Bio
22,204
Followers Without Bio
78.02%
% With Bio
21.98%
% 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 3,241 analyzed318,200
Combined Engagement
291,366
Total Likes
26,834
Total Retweets
63,640
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
They removed the penguin buttholes from Super Mario Party. Unplayable. https://t.co/ACRlY6BvtF
Nintendo fans at the e3 Direct tomorrow. https://t.co/PsSYyFacws
People called me Shaggy my whole life so I finally gave in. Happy Halloween! https://t.co/T2W110y2Qm
Found a good parking spot. https://t.co/tVJO0B3C3d
I hate this so much. https://t.co/jhp5PFynhq
Key Insights & Takeaways
PeanutButterGmr frequently comments on gaming news and controversies, which drives engagement. They use humor and personal anecdotes to connect with their audience. Their content often includes links to YouTube videos, suggesting a focus on cross-platform promotion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 332,250
- + 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 @PeanutButterGmr reveals an well-established Twitter presence with 332,250 followers. The account demonstrates a conversation-first approach, averaging 431.1 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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