KAJAL🦖
Yo no voy de estrella, yo soy un planeta. 📍Barcelona
168,236
Followers
637
Following
32,912
Tweets
502.4
Avg Engagement
78
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kajalnapalm'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:2013-05-23
- Verification:No
- Location:[email protected]
Data Summary
- Tweets Analyzed:3,225
- Avg Likes per Tweet:131.2
- Avg Retweets per Tweet:371.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,225 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in their content.
131.2
Avg Likes/Tweet
371.2
Avg Retweets/Tweet
423,095
Total Likes
1,197,181
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
2
Median Retweets
104
75th Percentile
78,829
Top Tweet
2.99
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
58.4%
Original
21.7%
Replies
9.5%
Retweets
10.4%
Quotes
0.0%
Threads
0.1%
With Media
47.4%
With Links
3.7%
With #Tags
32.0%
With @Mentions
19.3%
With Emojis
68
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.37
Reply/Original Ratio
1.1
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78.1%
Weekday Posts
21.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,225 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 305 retweets (9% 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 3,225 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 followersTheir audience appears to be interested in entertainment, personal stories, and community engagement, particularly in Barcelona.
Average
Audience Quality
27.2%
Suspicion Index
29.7%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.3%
Empty Bio
33.2%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
71.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
20.1%
<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.
60,413,087
Total Potential Reach
7
Median Follower Reach
33
75th Percentile Reach
1.3%
>1K followers
0.3%
>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).
39.1%
Creators
19,565 accounts
27.6%
Consumers
13,822 accounts
33.2%
Dormant
16,613 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):
92
Verified Followers
0.09% of total
6,995
Protected Accounts
6.93% 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 |
|---|---|---|---|
| @arigameplays | 11,865,377 | Gamer | Videojuegos, Streaming, Fortnite |
| @vegetta777 | 10,227,070 | Gamer | Gaming, Esports, Adventure |
| @LuisitoComunica | 8,938,879 | Influencer | Travel, Vlogs, Adventure |
| @JuanSGuarnizo | 8,539,512 | Streamer/Youtuber | Gaming, YouTube, Fitness |
| @MissaSinfonia | 4,315,246 | Content Creator | videos, internet, dinosaurios |
| @LOLiTOFDEZ | 2,659,599 | Esports Manager | Gaming, Esports, Business |
| @aXoZerr | 2,622,024 | Influencer | Family, KOI, Contact |
| @Komanch | 1,971,392 | Influencer | Dogs, God, Pugs |
| @aroiagarcia | 1,703,997 | Influencer | YouTube, internet, content creation |
| @DonReborn2 | 1,643,282 | Gamer | Video games, High elo, FPS |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,595
Followers With Bio
46,403
Followers Without Bio
54.06%
% With Bio
45.94%
% 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 3,225 analyzed282,271
Combined Engagement
0
Total Likes
282,271
Total Retweets
56,454
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @atrahre: Cada foto es una sorpresa https://t.co/nvsntAR1p0
RT @SeanAstin: Para los españoles y para todo el que quiera saber, el Sr. Frodo vivirá en mi corazón para siempre! 🇪🇸 https://t.co/3A6alx6Z…
RT @mushymoss_: There are two types of artists https://t.co/q7gSKIXjzG
RT @kendyyz: QUE COÑO ES ESTO QUE GUAPOOO https://t.co/xARCfa4Wnt
RT @Owl__Kitty: Happy Valentine’s Day 🚢😻 #OwlKitty #Titanic #ValentinesDay #LeonardoDicaprio #AdoptDontShop https://t.co/4bl70R36B3
Key Insights & Takeaways
Their content often revolves around personal achievements and events, which resonate well with their followers. They have a strong connection with their audience, as seen through their high engagement rates. They frequently mention specific projects and events, which suggests a focus on storytelling and community involvement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 168,236
- + 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 @kajalnapalm reveals an well-established Twitter presence with 168,236 followers. The account demonstrates a content-creator strategy, averaging 502.4 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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