Davi Sacer
🇧🇷🇧🇷🇧🇷🇧🇷
621,287
Followers
649
Following
25,057
Tweets
3,279.1
Avg Engagement
1,104
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DaviSacer'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:2009-10-12
- Verification:No
- Location:Brasil / Rio de Janeiro
Data Summary
- Tweets Analyzed:3,065
- Avg Likes per Tweet:333.7
- Avg Retweets per Tweet:2,945.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,065 tweetsHis tweets receive high engagement, with an average of 55,733 likes and 10,475 retweets per post.
333.7
Avg Likes/Tweet
2,945.4
Avg Retweets/Tweet
1,022,748
Total Likes
9,027,559
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1,410
Median Retweets
4,022
75th Percentile
153,997
Top Tweet
5.28
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
16.5%
Original
3.8%
Replies
75.9%
Retweets
3.8%
Quotes
0.0%
Threads
0.1%
With Media
52.8%
With Links
9.3%
With #Tags
82.7%
With @Mentions
15.4%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,065 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 2,325 retweets (76% 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 3,065 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 followersHis audience is primarily Brazilian, given his use of Portuguese and focus on local issues.
Average
Audience Quality
23.0%
Suspicion Index
28.8%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.0%
Empty Bio
25.4%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
46.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
15.5%
<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.
48,253,216
Total Potential Reach
26
Median Follower Reach
207
75th Percentile Reach
9.9%
>1K followers
0.8%
>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).
53.5%
Creators
26,746 accounts
21.1%
Consumers
10,550 accounts
25.4%
Dormant
12,704 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):
166
Verified Followers
0.16% of total
7,625
Protected Accounts
7.55% 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 |
|---|---|---|---|
| @CarlosBolsonaro | 3,493,662 | Politician | Politics, Rio de Janeiro, Opinions |
| @LucasMoura7 | 2,962,379 | Footballer | Jesus, Football, Brazil |
| @taoquei1 | 2,032,922 | Influencer | opinions, respect, Brazil |
| @FMouraBrasil | 1,523,220 | Journalist | Politics, Journalism, Radio |
| @onyxlorenzoni | 1,331,681 | Politician | Politics, Veterinary Medicine, Brazil |
| @carlosjordy | 1,089,594 | Politician | politics, public service, Rio de Janeiro |
| @PATRlOTAS | 1,020,838 | Political Commentator | Patriotas, Censurado, Siga |
| @Damadeferroofic | 952,819 | - | - |
| @fabiofaria | 937,895 | Politician | Politics, Communication, Brazil |
| @conexaopolitica | 853,473 | News Outlet | politics, news, app |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,161
Followers With Bio
37,837
Followers Without Bio
62.54%
% With Bio
37.46%
% 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 3,065 analyzed485,661
Combined Engagement
267,892
Total Likes
217,769
Total Retweets
97,132
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
https://t.co/P1sbYZg0AC
RT @neymarjr: Falam em democracia e um montão de coisa, mas quando alguém tem um opinião diferente é atacado pelas próprias pessoas que fal…
FORA LULA!!
RT @elonmusk: The attacks against me should be viewed through a political lens – this is their standard (despicable) playbook – but nothing…
VAMOS PARA RUA, BRASILEIROS !!!
Key Insights & Takeaways
He is politically active and vocal, often using strong language in his tweets. His content is likely aimed at mobilizing public opinion and encouraging social action. He has a verified account, which adds credibility to his voice and reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 621,287
- + 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 @DaviSacer reveals an exceptionally influential Twitter presence with 621,287 followers. The account demonstrates a content-creator strategy, averaging 3,279.1 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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