Fresno
Perfil oficial da banda Fresno no Twitter.
979,760
Followers
74,368
Following
12,421
Tweets
124.0
Avg Engagement
3,486
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fresnorock'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:2009-03-18
- Verification:No
- Location:Brasil
Data Summary
- Tweets Analyzed:2,999
- Avg Likes per Tweet:77.6
- Avg Retweets per Tweet:46.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,999 tweetsTweets receive an average of 3,395 likes and 469 retweets, indicating strong fan interaction and support.
77.6
Avg Likes/Tweet
46.4
Avg Retweets/Tweet
232,726
Total Likes
139,028
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
57
75th Percentile
12,477
Top Tweet
0.13
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
12.6%
Original
8.3%
Replies
74.9%
Retweets
4.2%
Quotes
0.0%
Threads
0.0%
With Media
46.1%
With Links
21.0%
With #Tags
84.9%
With @Mentions
23.8%
With Emojis
108
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.66
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.1%
Weekday Posts
19.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,999 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 2,247 retweets (75% 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 2,999 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 music fans, especially those interested in rock and emo genres, with a focus on Brazil.
Good
Audience Quality
16.0%
Suspicion Index
18.6%
Low-Quality %
58
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.5%
Empty Bio
19.0%
<10 Tweets
5.9%
Mass Following (>2K)
0.0%
New (<90 days)
35.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.3%
No URL
12.7%
<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.
41,818,974
Total Potential Reach
58
Median Follower Reach
229
75th Percentile Reach
6.3%
>1K followers
0.6%
>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).
67.3%
Creators
33,666 accounts
13.7%
Consumers
6,850 accounts
19.0%
Dormant
9,484 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):
170
Verified Followers
0.17% of total
12,815
Protected Accounts
12.69% 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 |
|---|---|---|---|
| @OCriador | 3,049,429 | Religious Leader | Deus, Onipresente, Onisciente |
| @MarceloFreixo | 1,976,574 | Politician | Family, Education, Politics |
| @feeeelps | 1,941,359 | Gamer | Gaming, Esports, Merchandise |
| @LuluSantos | 1,657,891 | Musician | Music, Art, Creativity |
| @monark | 1,490,090 | Podcaster | Podcast, princípio, vivendo |
| @pelanza | 1,426,896 | Singer | Music, Stories, Connection |
| @JovemPanEntrete | 1,302,463 | Entertainment | Entertainment, Multiplatform, Fun |
| @maisbrasil | 1,230,544 | Cultural Promoter | Culture, Brazil, Valorization |
| @loud_voltan | 1,095,357 | Content Creator | youtuber, influencer, streamer |
| @DougiePoynter | 999,359 | Musician | Music, Snacks, Adventure |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,734
Followers With Bio
41,264
Followers Without Bio
59.14%
% With Bio
40.86%
% 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 2,999 analyzed46,353
Combined Engagement
5,343
Total Likes
41,010
Total Retweets
9,271
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @pinkbloc_: Bolsonaro tá bravo, NÃO DIVULGUEM o show do Fresno! #ForaBolsonaro https://t.co/kHBHZaI8O6
RT @fabiofelixdf: E a banda Fresno abriu os trabalhos contra a censura do TSE #ForaBolsonaro https://t.co/WigEwbwoF0
RT @ErikakHilton: O presidente tá bravo e não quer você compartilhando essa imagem! @fresnorock no #Lollapalooza2022 #CensuraNuncaMais #For…
RT @lucasfresno: eu prefiro não me posicionar nesses casos sabe @LulaOficial @Anitta https://t.co/MPQfFaayjU
chegamo no Lolla e tamo como https://t.co/3M6cFTuiJw
Key Insights & Takeaways
The band leverages major events like LollaBR to boost visibility and fan engagement. They use humor and catchy phrases to connect with their audience and maintain a relatable image. Their content often includes links to concerts and social media, driving traffic and promoting events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 979,760
- + 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 @fresnorock reveals an well-established Twitter presence with 979,760 followers. The account demonstrates a content-creator strategy, averaging 124.0 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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