158,226
Followers
532
Following
13,170
Tweets
19.9
Avg Engagement
167
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MartinTerrone'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:2012-04-18
- Verification:No
- Location:España
Data Summary
- Tweets Analyzed:3,161
- Avg Likes per Tweet:12.5
- Avg Retweets per Tweet:7.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,161 tweetsOn average, his tweets receive 176 likes and 87 retweets, indicating a moderate level of interaction. His top tweets often include links and hashtags to boost visibility.
12.5
Avg Likes/Tweet
7.4
Avg Retweets/Tweet
39,570
Total Likes
23,288
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
6
Median Retweets
26
75th Percentile
457
Top Tweet
0.13
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
57.3%
Original
7.3%
Replies
34.7%
Retweets
0.7%
Quotes
0.0%
Threads
0.0%
With Media
57.1%
With Links
29.8%
With #Tags
66.7%
With @Mentions
36.4%
With Emojis
98
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.1%
Weekday Posts
25.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,161 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 1,097 retweets (35% 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 3,161 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 followersHis audience appears to be interested in music, personal stories, and Peruvian culture. They engage with his content through likes and retweets.
Below Average
Audience Quality
37.9%
Suspicion Index
48.5%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.2%
Empty Bio
55.5%
<10 Tweets
1.8%
Mass Following (>2K)
0.0%
New (<90 days)
82.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.2%
No URL
32.9%
<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.
17,519,202
Total Potential Reach
6
Median Follower Reach
18
75th Percentile Reach
0.6%
>1K followers
0.1%
>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).
13.7%
Creators
6,833 accounts
30.8%
Consumers
15,421 accounts
55.5%
Dormant
27,746 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):
9
Verified Followers
0.01% of total
5,680
Protected Accounts
5.62% of total
9 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 |
|---|---|---|---|
| @Latina_pe | 3,303,442 | Media | Soccer, Latina TV, Qatar 2022 |
| @6BillionPeople | 2,033,240 | - | - |
| @SinghLions | 1,333,720 | Restaurateur | Food, Travel, Influencer |
| @LeBronJames | 1,009,598 | - | - |
| @drangelocarbone | 734,011 | Lawyer | Legal, Consulting, WhatsApp |
| @KevinandTrevor | 696,683 | - | - |
| @APGorin | 482,231 | Activist | Social justice, activism, empathy |
| @djkingassassin | 472,156 | DJ | Music, Club, Producer |
| @egomezislas | 390,386 | CEO | ATV, Corporate, CEO |
| @ericksabater | 322,159 | Actor | Modeling, Acting, Fitness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,326
Followers With Bio
64,673
Followers Without Bio
35.97%
% With Bio
64.03%
% 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 3,161 analyzed1,719
Combined Engagement
1,135
Total Likes
584
Total Retweets
344
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
LANZAMIENTO OFICIAL: Nueva canción, nuevo vídeo clip "EXTRAÑÁNDOTE" https://t.co/ryyjWKhAQe Si les gustan RT #VideoSelfieExtrañandote HT
Yo amo este pais, es mi hogar y quien se mete con el se mete conmigo. Mi novia, mis suegros y mis amigos son peruanos. Odio la Xenofobia.
Te va a ir muy bien en todo lo q te propongas @andreasanmartin y esta etapa va a ser de las mejores 😚 #BabyShower TK😏 http://t.co/kx2VkeQ3Bp
Que bien jugo #PERU con 10 hombres. Hoy el mundo conocio un equipo digno de temer y respetar. #LaSeleccionPeruana MILLONES DE APLAUSOS.
RT POR FAVOR, NECESITAMOS SU AYUDA. La NEGRITA se perdio por la municipalidad de INDEPENDENCIA. TEL: 2517382 https://t.co/qiqtSjrUaS
Key Insights & Takeaways
He frequently promotes his music and videos, suggesting a focus on artistic growth and visibility. He expresses strong national pride and personal connections to Peru, which likely resonates with his audience. He engages with followers by encouraging retweets and using personal hashtags, fostering a sense of community.
Strengths
- + Established follower base of 158,226
- + 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 @MartinTerrone reveals an growing Twitter presence with 158,226 followers. The account demonstrates a content-creator strategy, averaging 19.9 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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