Alan
médico psiquiatra
68,145
Followers
1,317
Following
185
Tweets
3,685.0
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AlanDisavia'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:2011-06-15
- Verification:No
- Location:Madrid
Data Summary
- Tweets Analyzed:113
- Avg Likes per Tweet:10.0
- Avg Retweets per Tweet:3,675.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 113 tweetsAlanDisavia's tweets receive an average of 100 likes and 12 retweets, indicating moderate engagement. The engagement appears consistent across his posts.
10.0
Avg Likes/Tweet
3,675.0
Avg Retweets/Tweet
1,128
Total Likes
415,276
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
79
75th Percentile
99,911
Top Tweet
54.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
1.8%
Original
50.4%
Replies
46.9%
Retweets
0.9%
Quotes
0.0%
Threads
0.0%
With Media
51.3%
With Links
1.8%
With #Tags
95.6%
With @Mentions
34.5%
With Emojis
82
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
28.5
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 113 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 53 retweets (47% 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 113 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 likely includes individuals interested in mental health, personal development, and emotional well-being. His followers may be seeking advice, inspiration, or relatable content.
Average
Audience Quality
25.1%
Suspicion Index
23.8%
Low-Quality %
113
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.4%
Empty Bio
16.5%
<10 Tweets
29.5%
Mass Following (>2K)
0.0%
New (<90 days)
47.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
10.2%
<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.
9,987,378
Total Potential Reach
113
Median Follower Reach
364
75th Percentile Reach
10.1%
>1K followers
1.8%
>10K followers
0.3%
>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).
66.0%
Creators
6,600 accounts
17.5%
Consumers
1,748 accounts
16.5%
Dormant
1,652 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):
17
Verified Followers
0.17% of total
2,114
Protected Accounts
21.14% 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 |
|---|---|---|---|
| @levmauc | 515,171 | Cinephile | cine, series, podcast |
| @kyle_fox_ | 154,063 | Model | Model, XXXclusive, Content |
| @GZaffora | 121,068 | Periodista | TV, radio, journalism |
| @SpotifyARG | 113,026 | Music streaming | music, podcasts, sharing |
| @adam_cast5 | 111,109 | Athlete | Rugby, Rio, Travel |
| @GuysGuaposMx | 106,418 | Influencer | Hombres guapos, México, Mundo |
| @AlexGA13 | 100,370 | Influencer | Movies, Texts, Instagram |
| @yyeguo | 98,330 | - | - |
| @LuchoBugallo | 96,539 | Politician | Politics, Agriculture, Republicanism |
| @IgnaGarnero | 95,813 | Accountant | Accountant, Rio Cuarto, Cordoba |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,260
Followers With Bio
3,740
Followers Without Bio
62.6%
% With Bio
37.4%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 113 analyzed319,764
Combined Engagement
0
Total Likes
319,764
Total Retweets
63,953
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @PicturesFoIder: https://t.co/ZHAIaThxBR
RT @dedoyinajayi: Before you get married, discuss parenting styles, religious beliefs, childhood traumas, SEXUAL EXPECTATIONS, political views, career pathways, BILLS AND FINANCIAL BELIEFS. Please have these conversations. Don't just kiss and cuddle🥴.
RT @MrMimiEth: what the metaverse would look like in the real life https://t.co/N6UT3TM8ip
RT @todayyearsoldig: Today i learned that Capybaras are chill with everyone. Here they are getting along with the entire animal kingdom. Real life Disney princesses. https://t.co/v6CjatV0WB
RT @PicturesFoIder: https://t.co/UsuMCfYp11
Key Insights & Takeaways
His content often blends personal reflection with thematic elements, suggesting a focus on emotional expression. The use of emojis and direct links implies a more intimate and interactive style of communication. His top tweets hint at a thematic interest in relationships, introspection, and emotional vulnerability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 68,145
- + 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 @AlanDisavia reveals an exceptionally influential Twitter presence with 68,145 followers. The account demonstrates a conversation-first approach, averaging 3,685.0 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access