ᴀʟᴠᴀʀᴏ
I make music and throw random opinions over here.
107,140
Followers
619
Following
23,367
Tweets
330.1
Avg Engagement
306
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djalvaro'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:2009-05-11
- Verification:No
- Location:The Netherlands
Data Summary
- Tweets Analyzed:3,139
- Avg Likes per Tweet:6.0
- Avg Retweets per Tweet:324.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,139 tweetsDjalvaro's tweets typically receive moderate engagement, with an average of 213 likes and 60 retweets. Their content seems to resonate well with their followers, encouraging interaction and discussion.
6.0
Avg Likes/Tweet
324.0
Avg Retweets/Tweet
18,944
Total Likes
1,017,097
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
10
75th Percentile
337,646
Top Tweet
3.08
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
33.8%
Original
42.0%
Replies
23.7%
Retweets
0.5%
Quotes
0.0%
Threads
0.6%
With Media
35.6%
With Links
13.9%
With #Tags
81.7%
With @Mentions
38.9%
With Emojis
82
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.24
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.9%
Weekday Posts
24.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,139 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 743 retweets (24% 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 3,139 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 a mix of music enthusiasts and casual Twitter users interested in relatable content. They seem to appreciate both artistic expression and candid, humorous takes on life.
Average
Audience Quality
27.5%
Suspicion Index
23.9%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.5%
Empty Bio
30.1%
<10 Tweets
15.8%
Mass Following (>2K)
0.0%
New (<90 days)
65.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.6%
No URL
17.4%
<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.
27,895,887
Total Potential Reach
28
Median Follower Reach
136
75th Percentile Reach
4.3%
>1K followers
0.9%
>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).
41.5%
Creators
4,149 accounts
28.4%
Consumers
2,844 accounts
30.1%
Dormant
3,007 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):
55
Verified Followers
0.55% of total
857
Protected Accounts
8.57% 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 |
|---|---|---|---|
| @JohnCena | 14,093,477 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KameronBennett | 1,820,121 | DJ | Music, DJing, Booking |
| @MTVMusicUK | 1,268,837 | Entertainment | Music, Entertainment, UK |
| @DillonFrancis | 1,011,268 | Musician | Music, Comedy, EDM |
| @danielsahyounie | 968,085 | Entertainer | comedy, music, social media |
| @SleepSkee | 707,828 | Musician | Music, Independent, Artist |
| @beatsbysarz | 685,608 | Music Producer | Music, Beats, Production |
| @PleasureEllis | 683,239 | Entertainer | Music, Transformation, Celebration |
| @djkingassassin | 467,531 | DJ | Music, Club, Producer |
| @pauldarbos | 314,505 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,952
Followers With Bio
3,048
Followers Without Bio
69.52%
% With Bio
30.48%
% 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 3,139 analyzed915,315
Combined Engagement
0
Total Likes
915,315
Total Retweets
183,063
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: the bird is freed
RT @elonmusk: 🚀💫♥️ Yesss!!! ♥️💫🚀 https://t.co/0T9HzUHuh6
RT @elonmusk: If you scare people enough, they will demand removal of freedom. This is the path to tyranny.
RT @Y2SHAF: me googling the number that called me instead of answering it like an adult https://t.co/94SZhHSYKI
RT @elonmusk: Free speech is essential to a functioning democracy. Do you believe Twitter rigorously adheres to this principle?
Key Insights & Takeaways
Djalvaro often shares personal reflections and opinions, which may indicate a desire for connection and authenticity. Their mention of music and past projects suggests a passion for creating and experimenting with different genres. They engage with other creators and fans, showing a collaborative and community-oriented approach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 107,140
- + High community engagement through conversations
- + 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 @djalvaro reveals an well-established Twitter presence with 107,140 followers. The account demonstrates a conversation-first approach, averaging 330.1 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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