Peter Vigilante
Actor 🎭,Reality TV ⭐️, and Content Creator 🎥 - All accounts in link below!⬇️
115,890
Followers
35
Following
295
Tweets
654.9
Avg Engagement
108
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @petevigilante'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:2020-05-04
- Verification:No
- Location:New York, USA
Data Summary
- Tweets Analyzed:181
- Avg Likes per Tweet:595.7
- Avg Retweets per Tweet:59.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 181 tweetsPetevigilante's tweets receive an average of 3,392 likes and 432 retweets, showing high engagement. Their content is well-received, with a mix of humor and personal updates driving interaction.
595.7
Avg Likes/Tweet
59.3
Avg Retweets/Tweet
107,813
Total Likes
10,726
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
102
Median Likes
8
Median Retweets
939
75th Percentile
6,128
Top Tweet
5.65
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
74.6%
Original
11.0%
Replies
9.4%
Retweets
5.0%
Quotes
0.0%
Threads
0.6%
With Media
64.1%
With Links
21.0%
With #Tags
23.8%
With @Mentions
37.6%
With Emojis
80
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.53
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.0%
Weekday Posts
32.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 181 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 17 retweets (9% 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 181 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 followersThe audience appears to be interested in entertainment, personal stories, and behind-the-scenes content. They engage actively with likes and retweets, indicating a loyal and interactive fan base.
Below Average
Audience Quality
40.2%
Suspicion Index
53.5%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
67.9%
Empty Bio
50.7%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
84.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.3%
No URL
39.2%
<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.
2,558,289
Total Potential Reach
9
Median Follower Reach
39
75th Percentile Reach
2.0%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
29.5%
Creators
2,954 accounts
19.8%
Consumers
1,976 accounts
50.7%
Dormant
5,070 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):
14
Verified Followers
0.14% of total
2,438
Protected Accounts
24.38% of total
2 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 |
|---|---|---|---|
| @THE_THEO_FORD | 472,809 | - | - |
| @Kwani_Top | 236,846 | Content Creator | Onlyfans, Reviews, Line |
| @pepe2022241 | 115,151 | Adult Content Creator | Explicit Videos, Cruising, Mexican Culture |
| @IVANNBOO | 72,036 | Influencer | Art, Video, Anime |
| @HeeronMon | 52,453 | Adult entertainer | Xrated, Rated, Instagram |
| @MrsAndiAvalon | 39,504 | - | - |
| @Edu2398 | 35,646 | - | - |
| @pillowtalkwryan | 35,490 | Podcaster | Entertainment, Podcasting, Viral |
| @DjEligioChacon | 35,460 | - | - |
| @zzZDarkSoulZzz | 35,391 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,212
Followers With Bio
6,788
Followers Without Bio
32.12%
% With Bio
67.88%
% 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 181 analyzed22,597
Combined Engagement
20,327
Total Likes
2,270
Total Retweets
4,519
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/uWDLr5zv1m
Do I start posting my deleted TikTok’s here 🍑 https://t.co/OAOTUtRxt4
New TikTok is up haha 😂 https://t.co/ZuKU6bLH7c
Retweet then check my OF its free 😉 #hotmen https://t.co/wdqi8uIS6b
If we aren’t your lock screen by now you’re doin somethin wrong … 🤷♂️ #TooHotToHandle @Melinda_melrose https://t.co/VQ6fTP6uRQ
Key Insights & Takeaways
The user frequently shares personal and humorous content, which likely drives engagement. They link to other platforms like TikTok, suggesting a multi-platform strategy. Their low verified status indicates a focus on organic growth rather than brand partnerships.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 115,890
- + 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 @petevigilante reveals an well-established Twitter presence with 115,890 followers. The account demonstrates a content-creator strategy, averaging 654.9 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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