Isaac Guedes
é cada uma viu
86,035
Followers
540
Following
5,058
Tweets
445.1
Avg Engagement
36
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @isaacdovine'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: Mid-Tier (10K+)
- Account Age:2015-03-15
- Verification:No
- Location:Rio de Janeiro, Brasil
Data Summary
- Tweets Analyzed:3,107
- Avg Likes per Tweet:180.5
- Avg Retweets per Tweet:264.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,107 tweetsThe account's tweets are highly engaging, often receiving a large number of likes and retweets, indicating a loyal and active follower base.
180.5
Avg Likes/Tweet
264.6
Avg Retweets/Tweet
560,749
Total Likes
822,104
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
42
Median Likes
4
Median Retweets
112
75th Percentile
168,319
Top Tweet
5.17
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
66.4%
Original
15.8%
Replies
17.4%
Retweets
0.4%
Quotes
0.0%
Threads
0.0%
With Media
45.3%
With Links
25.5%
With #Tags
50.6%
With @Mentions
17.9%
With Emojis
71
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,107 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 541 retweets (17% 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 3,107 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 primarily Brazilian, with a focus on football fans and political commentators.
Good
Audience Quality
19.6%
Suspicion Index
21.5%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.2%
Empty Bio
23.1%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
44.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
14.8%
<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.
20,399,545
Total Potential Reach
39
Median Follower Reach
199
75th Percentile Reach
5.6%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
58.7%
Creators
5,871 accounts
18.1%
Consumers
1,814 accounts
23.1%
Dormant
2,315 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):
10
Verified Followers
0.1% of total
1,819
Protected Accounts
18.19% 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 |
|---|---|---|---|
| @alvxaro | 4,933,582 | Meme Slayer | memes, humor, matadora |
| @QuebrandoOTabu | 3,023,854 | Activist | Social justice, activism, information |
| @GarotaCiume | 2,221,510 | Influencer | Relationships, Love, Humor |
| @gizellybicalho | 1,152,101 | Lawyer | Advocacy, Entrepreneurship, Reality TV |
| @Itspedrito | 1,147,002 | Influencer | #BBB21, PEDRÃO, Capitalismo |
| @Metropoles | 992,440 | News Outlet | politics, health, entertainment |
| @OficialAvioes | 696,240 | - | - |
| @hariany | 693,199 | Influencer | - |
| @JornaldoBrasil | 617,774 | News Outlet | Opinion sharing, News, Brazil |
| @updatecharts | 403,505 | Entertainment | Entertainment, Music, Charts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,175
Followers With Bio
2,825
Followers Without Bio
71.75%
% With Bio
28.25%
% 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 3,107 analyzed554,456
Combined Engagement
200,422
Total Likes
354,034
Total Retweets
110,891
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @ChapecoenseReal: Que essa seja a última imagem dos nosso guerreiros. #ForçaChape https://t.co/Q1ZxF5h4sV
roi... Silvio né? @maisa https://t.co/9EtEIDU5hB
RT @Tatawerneck: Hoje seria aniversário do Paulo Gustavo. Dia simbólico pra mudar esse país
RT @CarIa_Perez: quem é mary christnas?
votar no prior ao som da musica oficial da manu: não tem preço #foraprior https://t.co/H0mSQdlIer
Key Insights & Takeaways
The user frequently references football matches and teams, suggesting a strong connection to the sport. They often use hashtags and links to promote political and social causes, indicating a blend of entertainment and activism. The content is tailored to a Brazilian audience, with references to local teams and events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86,035
- + 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 @isaacdovine reveals an well-established Twitter presence with 86,035 followers. The account demonstrates a content-creator strategy, averaging 445.1 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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