Carlos Lacerda
🎙Comunicador 📻 🇵🇪 Setorista do Internacional📩 e-mail: [email protected]
75,074
Followers
867
Following
95,850
Tweets
166.2
Avg Engagement
97
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @reporterlacerda'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:2010-06-06
- Verification:No
- Location:Porto Alegre
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:105.3
- Avg Retweets per Tweet:60.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,231 tweetsThe account has a consistent engagement rate with an average of 4,111 likes and 457 retweets per tweet, indicating a loyal and active follower base.
105.3
Avg Likes/Tweet
60.8
Avg Retweets/Tweet
340,371
Total Likes
196,525
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
1
Median Retweets
135
75th Percentile
12,812
Top Tweet
2.21
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
49.2%
Original
10.4%
Replies
30.6%
Retweets
9.7%
Quotes
0.0%
Threads
0.0%
With Media
53.1%
With Links
7.8%
With #Tags
46.9%
With @Mentions
15.9%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.5%
Weekday Posts
34.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 988 retweets (31% 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 3,231 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 primarily consists of Brazilian football fans, especially those supporting Internacional, with a strong interest in sports commentary and match analysis.
Average
Audience Quality
29.2%
Suspicion Index
37.3%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.1%
Empty Bio
39.8%
<10 Tweets
8.8%
Mass Following (>2K)
0.0%
New (<90 days)
59.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
27.5%
<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.
9,213,642
Total Potential Reach
12
Median Follower Reach
75
75th Percentile Reach
3.7%
>1K followers
0.5%
>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).
37.1%
Creators
3,713 accounts
23.1%
Consumers
2,308 accounts
39.8%
Dormant
3,979 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):
20
Verified Followers
0.2% of total
1,177
Protected Accounts
11.77% of total
3 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 |
|---|---|---|---|
| @choquei | 5,687,212 | Entertainment News | artistas, famosos, acontecimentos |
| @dudagarbi | 293,631 | Influencer | futebol, entretenimento, influenciador digital |
| @RepublicaGaucha | 192,850 | Patriotismo | Tradition, Culture, Gaúcho |
| @minc_rj | 147,042 | Politician | Environment, Legislation, Politics |
| @futeboIdiario | 125,777 | - | - |
| @polvopaulpreviu | 111,101 | - | - |
| @Pilar__HA | 106,653 | Mamá | Mamá, abuela, Cantante frustrada |
| @tuiterdokaio | 90,708 | Musician | Birdwatching, Nature, Music |
| @are_cruzmaltina | 73,889 | Sports Content Creator | Vasco da Gama, Conteúdo, Parcerias |
| @mneves_ | 63,631 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,288
Followers With Bio
4,712
Followers Without Bio
52.88%
% With Bio
47.12%
% 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 3,231 analyzed32,781
Combined Engagement
20,252
Total Likes
12,529
Total Retweets
6,556
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
Essa torcida é espetacular! https://t.co/GXOxbSykt3
RT @oocbrsao: KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK https://t.co/N3EvsIeMxp
É de arrepiar o Beira-Rio! https://t.co/6F7ZZ0fdHL
Futebol respira! https://t.co/jCht3ZkNs5
RT @cec_cabeludo: a melhor serie b de todos os tempos https://t.co/7orRKOreKL
Key Insights & Takeaways
The content is highly focused on football matches and fan experiences The account uses a mix of emotional and passionate language to connect with followers The use of verified links suggests a focus on sharing real-time updates and match highlights
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,074
- + 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 @reporterlacerda reveals an well-established Twitter presence with 75,074 followers. The account demonstrates a content-creator strategy, averaging 166.2 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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