DJ BATATA
Dj, Produtor & Compositor 🔊 [email protected]
67,471
Followers
445
Following
49,328
Tweets
126.5
Avg Engagement
105
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djbatata'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:2009-05-07
- Verification:No
- Location:Do Rio de janeiro p/ o Mundo
Data Summary
- Tweets Analyzed:3,170
- Avg Likes per Tweet:107.4
- Avg Retweets per Tweet:19.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,170 tweetsDjbatata's tweets receive high engagement, with an average of 7k likes and 770 retweets, indicating a loyal and active fan base.
107.4
Avg Likes/Tweet
19.1
Avg Retweets/Tweet
340,455
Total Likes
60,447
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
55
75th Percentile
19,285
Top Tweet
1.87
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
88.2%
Original
4.0%
Replies
3.3%
Retweets
4.5%
Quotes
0.0%
Threads
0.0%
With Media
24.6%
With Links
77.3%
With #Tags
10.9%
With @Mentions
20.6%
With Emojis
69
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
1.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.7%
Weekday Posts
19.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,170 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 105 retweets (3% 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 3,170 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 followersHis audience primarily consists of music enthusiasts and Brazilian TV show fans, particularly those interested in reality TV and social media trends.
Average
Audience Quality
23.9%
Suspicion Index
24.3%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.2%
Empty Bio
26.1%
<10 Tweets
12.7%
Mass Following (>2K)
0.0%
New (<90 days)
53.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
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.
18,352,316
Total Potential Reach
31
Median Follower Reach
168
75th Percentile Reach
6.7%
>1K followers
0.8%
>10K followers
0.3%
>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).
49.5%
Creators
4,953 accounts
24.4%
Consumers
2,438 accounts
26.1%
Dormant
2,609 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):
22
Verified Followers
0.22% of total
956
Protected Accounts
9.56% 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 |
|---|---|---|---|
| @choquei | 5,716,854 | Entertainment News | artistas, famosos, acontecimentos |
| @euleodias | 1,871,621 | Journalist | BBB21, Metropoles, Vamos Falar |
| @TatiQBOficial | 900,142 | Rapper | Music, Entertainment, Brazil |
| @brunnagoncalves | 773,184 | Dancer | Bailarina, Sagitariana, Instagram |
| @raissabarbosar | 621,105 | Influencer | Fashion, Beauty, Lifestyle |
| @PROIBIDAODORIO2 | 612,112 | Content Creator | Music, Rio de Janeiro, YouTube |
| @eumaria | 556,206 | - | - |
| @lucassantosshow | 516,804 | Actor/Singer | Actor, Singer, Cowboy |
| @ofuxico_oficial | 357,609 | Entretenimento | celebrities, television, cinema |
| @nataliadeodato | 326,351 | Reality TV Star | BBB22, banana, nuvens |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,684
Followers With Bio
3,316
Followers Without Bio
66.84%
% With Bio
33.16%
% 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 3,170 analyzed59,426
Combined Engagement
36,956
Total Likes
22,470
Total Retweets
11,885
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
0%
With Links
Topical Analysis:
RT @neymarjr: Só eu queria a jojo todynho no bbb?
Pensando em fazer um mutirão #ForaEli pra ajudar o Arthur #BBB22
Imagina a reação do Arthur vencendo a edição e chutando o povo que tenta cancelar a todo custo. Vai ser foda! #BBB22
Arthur CAMPEÃO #BBB22
Estou negociando um mutirão. Arthur campeão 🙅🏻♂️❤️#BBB22
Key Insights & Takeaways
He frequently interacts with his audience through trending topics and challenges like #ForaEli His content often revolves around Brazilian reality TV and social media reactions He uses humor and provocative language to engage and provoke discussion
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 67,471
- + 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 @djbatata reveals an well-established Twitter presence with 67,471 followers. The account demonstrates a content-creator strategy, averaging 126.5 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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