Alejandro Villalobos
Director de radio.
186,520
Followers
181
Following
8,267
Tweets
162.2
Avg Engagement
437
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alejovillalobos'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:2009-05-17
- Verification:No
- Location:Bogotá, Colombia
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:26.6
- Avg Retweets per Tweet:135.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,233 tweetsThe user maintains a consistent level of engagement, with a notable number of likes and retweets. Their content appears to resonate with a socially conscious audience.
26.6
Avg Likes/Tweet
135.6
Avg Retweets/Tweet
86,033
Total Likes
438,361
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
28
75th Percentile
230,505
Top Tweet
0.87
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
76.0%
Original
11.6%
Replies
11.6%
Retweets
0.9%
Quotes
0.0%
Threads
0.1%
With Media
34.2%
With Links
25.6%
With #Tags
53.3%
With @Mentions
1.8%
With Emojis
109
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 375 retweets (12% 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 3,233 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 likely includes media professionals, radio listeners, and individuals interested in social and political discourse. They may also attract supporters of public demonstrations and activism.
Average
Audience Quality
28.3%
Suspicion Index
40.2%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.9%
Empty Bio
37.1%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
55.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
23.5%
<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.
84,542,012
Total Potential Reach
18
Median Follower Reach
72
75th Percentile Reach
3.1%
>1K followers
0.6%
>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).
36.1%
Creators
18,048 accounts
26.8%
Consumers
13,389 accounts
37.1%
Dormant
18,563 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):
58
Verified Followers
0.06% of total
8,949
Protected Accounts
8.95% of total
10 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 | 14,100,428 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JUANES | 11,471,142 | Musician | Music, Colombia, Latin pop |
| @CHAYANNEMUSIC | 9,391,956 | Singer | Music, Entertainment, Latin Music |
| @LAAZCARATE | 4,586,229 | Influencer | Instagram, TikTok, Contacto laboral |
| @VickyDavilaH | 3,667,260 | Journalist | News, Journalism, Broadcasting |
| @lafm | 2,913,121 | News Broadcaster | news, music, entertainment |
| @Variety | 2,911,347 | Entertainment industry | Entertainment, Business, Variety |
| @FannyLu | 2,764,678 | Singer | Music, Love, Tears |
| @DeLaGhettoReal | 2,496,904 | Musician | Music, Grammy, Booking |
| @6BillionPeople | 2,033,615 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,289
Followers With Bio
56,711
Followers Without Bio
43.29%
% With Bio
56.71%
% 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 3,233 analyzed333,370
Combined Engagement
0
Total Likes
333,370
Total Retweets
66,674
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @POTUS: Hello, Twitter! It's Barack. Really! Six years in, they're finally giving me my own account.
RT @shakira: El mejor regalo de cumpleaños ha sido sentir el apoyo de todos mis fans y el más increíble y ético equipo de trabajo que una a…
RT @FrankUnderwocd: Elect a clown, expect a circus.
RT @shenaoca: 2 individuos del CTI d la @FiscaliaCol tratando d intimidar con arma d fuego... los personajes del video se pasan x alto una…
RT @nacionaloficial: #ForcaChapecoense https://t.co/XB2xlXCrw1
Key Insights & Takeaways
Their tweets often highlight public events and social issues, indicating a focus on current affairs. They use their platform to address public figures and events, suggesting a role in public discourse. The user's content may serve as a medium for mobilizing support for social or political causes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 186,520
- + 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 @alejovillalobos reveals an well-established Twitter presence with 186,520 followers. The account demonstrates a content-creator strategy, averaging 162.2 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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