David Parejo
Cantante, compositor y productor.
87,091
Followers
944
Following
30,350
Tweets
152.6
Avg Engagement
165
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DavidParejoSing'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:2011-07-26
- Verification:No
- Location:moon ☾
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:63.0
- Avg Retweets per Tweet:89.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,171 tweetsHis tweets receive an average of 848 likes and 302 retweets, indicating a moderately engaged audience.
63.0
Avg Likes/Tweet
89.7
Avg Retweets/Tweet
199,691
Total Likes
284,353
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
44
Median Likes
28
Median Retweets
146
75th Percentile
82,432
Top Tweet
1.75
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
47.6%
Original
16.7%
Replies
23.4%
Retweets
12.3%
Quotes
0.0%
Threads
0.1%
With Media
64.2%
With Links
40.4%
With #Tags
60.9%
With @Mentions
48.0%
With Emojis
105
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.35
Reply/Original Ratio
0.52
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 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 742 retweets (23% 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 3,171 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 appears to be primarily Spanish-speaking music enthusiasts and fans of his work.
Average
Audience Quality
24.6%
Suspicion Index
27.4%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.1%
Empty Bio
33.1%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
52.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.6%
No URL
19.8%
<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.
30,436,850
Total Potential Reach
18
Median Follower Reach
99
75th Percentile Reach
4.6%
>1K followers
0.9%
>10K followers
0.4%
>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).
42.3%
Creators
4,234 accounts
24.6%
Consumers
2,459 accounts
33.1%
Dormant
3,307 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):
19
Verified Followers
0.19% of total
919
Protected Accounts
9.19% 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 | 14,096,989 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CD9 | 2,538,232 | Music Band | Music, Entertainment, Pop |
| @greysonchance | 2,421,053 | Musician | Music, Trophies, Out Now |
| @amazonmusic | 1,974,640 | Music Streaming | Music, Podcasts, Livestreams |
| @rogerhamilton | 925,211 | Entrepreneur | education, entrepreneurship, futurism |
| @PleasureEllis | 682,860 | Entertainer | Music, Transformation, Celebration |
| @djkingassassin | 466,720 | DJ | Music, Club, Producer |
| @ajmitchell | 338,441 | Singer | Music, Skyview, Stop |
| @TonyAguilarOfi | 337,256 | Radio Host | Radio, Música, Eurovision |
| @desordenorg | 286,285 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,494
Followers With Bio
3,506
Followers Without Bio
64.94%
% With Bio
35.06%
% 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 3,171 analyzed168,559
Combined Engagement
0
Total Likes
168,559
Total Retweets
33,712
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ladygaga: We should all wrap our arms of love around Demi Lovato. I am so happy you’re alive. Thank God. If I know my monsters as well as I believe I do, we all wish you self-compassion and inner peace. And may you receive the love so many have for you. #ImConfidentInDemi Dem
RT @rosalia: El cuerpo d una mujer n es propiedad pública, no es una mercancía xa tu estrategia d marketing. Esas fotos estaban editadas y creaste una falsa narrativa alrededor cuando ni t conozco. Existe algo llamado consentimiento y todos a los q os pareció gracioso o plausible
RT @Pink: https://t.co/BI861sjSZ4
RT @pabloalboran: Nunca fue un vestido. #heroínas https://t.co/ANJdw4t7Mf
RT @KibaOcaso: Gratamente sorprendida con el primark https://t.co/ytb8MgjX0S
Key Insights & Takeaways
He shares personal and emotional content that resonates with his followers He collaborates and interacts with other artists, enhancing his visibility He uses a mix of personal and professional content to maintain audience interest
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 87,091
- + 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 @DavidParejoSing reveals an well-established Twitter presence with 87,091 followers. The account demonstrates a content-creator strategy, averaging 152.6 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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