Pin 🐧
Quem me segue já tá maluco, pô 🐧 Pega a visão que o Pontofrio mudou e #AgoraÉPonto! Ponto é game over no que tá ultrapassado, mané.
342,310
Followers
41,217
Following
700,996
Tweets
21.6
Avg Engagement
1,754
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pontofrio'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:2008-10-15
- Verification:Yes
- Location:Brasil
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:20.0
- Avg Retweets per Tweet:1.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady level of engagement with an average of 1,677 likes and 357 retweets per tweet.
20.0
Avg Likes/Tweet
1.6
Avg Retweets/Tweet
65,018
Total Likes
5,086
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
1
75th Percentile
12,777
Top Tweet
0.06
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
10.1%
Original
89.7%
Replies
0.0%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
10.7%
With Links
10.7%
With #Tags
88.5%
With @Mentions
49.2%
With Emojis
58
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.92
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
88.7%
Weekday Posts
11.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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.
Posting Patterns & Optimal Timing
Based on 3,250 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, tech-savvy individuals interested in fashion, pop culture, and brand updates.
Good
Audience Quality
18.5%
Suspicion Index
18.2%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.1%
Empty Bio
16.6%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
50.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.6%
No URL
10.2%
<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.
68,832,540
Total Potential Reach
35
Median Follower Reach
126
75th Percentile Reach
4.1%
>1K followers
0.5%
>10K followers
0.2%
>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).
65.4%
Creators
32,694 accounts
18.0%
Consumers
9,022 accounts
16.6%
Dormant
8,284 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):
181
Verified Followers
0.18% of total
13,168
Protected Accounts
13.17% 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 | 14,103,329 | Wrestler | Wrestling, Motivation, Self-promotion |
| @FeCastanhari | 7,520,539 | - | - |
| @choquei | 5,162,535 | Entertainment News | artistas, famosos, acontecimentos |
| @frasesdebebada | 4,343,421 | Influencer | Alcohol, Humor, Influencer |
| @GilDoVigor | 3,283,758 | Economist | Economia, PhD, Forbes |
| @euovitinn | 2,386,054 | Publicitário | Publicidade, Tuiteiro, Comentarista |
| @naosalvo | 1,914,778 | Influencer | Humor, Memes, Satire |
| @ouiIudido | 1,875,329 | Influencer | N/A |
| @shitpostverdade | 1,707,636 | Meme Creator | MEMES, estranhos, origem duvidosa |
| @ssarahandrade | 1,340,178 | Influencer | Fashion, Lifestyle, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
70,414
Followers With Bio
29,586
Followers Without Bio
70.41%
% With Bio
29.59%
% 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 3,250 analyzed24,677
Combined Engagement
21,745
Total Likes
2,932
Total Retweets
4,935
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Sim, ele me influenciou 🩲 #JUNGKOOKxCALVINKLEIN https://t.co/QX7kGVPVLI
@choquei 9h de filme: 🫤😴🫠😓 9 episódios de 1h cada: 🥰🥰😊😎
@PortalTLOU Vamos ver, já que na primeira temporada eu fiquei assim em todas as cenas https://t.co/rH55zb6cyO
é Jeon Jungkook não tá fácil rs 💜 https://t.co/KDc9iei0Go
@AcervoCharts E o café com leite de lá vem dessa aqui https://t.co/srZfSCfeey
Key Insights & Takeaways
The brand leverages celebrity culture and pop icons to drive engagement Content often includes references to K-pop and fashion trends The use of hashtags and links suggests a strategy to increase visibility and drive traffic
Strengths
- + Established follower base of 342,310
- + 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 @pontofrio reveals an growing Twitter presence with 342,310 followers. The account demonstrates a conversation-first approach, averaging 21.6 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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