Alberto Santana Sosa
Made in Canarias 🇮🇨
206,311
Followers
290
Following
15,228
Tweets
646.7
Avg Engagement
307
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AlbertoSantana_'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:2011-10-30
- Verification:No
- Location:Gran Canaria- Madrid
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:52.8
- Avg Retweets per Tweet:593.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,171 tweetsThe account maintains a consistent level of engagement, indicating a loyal and active follower base.
52.8
Avg Likes/Tweet
593.9
Avg Retweets/Tweet
167,363
Total Likes
1,883,387
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
8
Median Retweets
87
75th Percentile
260,070
Top Tweet
3.13
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
36.0%
Original
21.9%
Replies
40.2%
Retweets
1.8%
Quotes
0.0%
Threads
0.3%
With Media
47.5%
With Links
26.5%
With #Tags
74.7%
With @Mentions
47.9%
With Emojis
95
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.61
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
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 1,276 retweets (40% 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 50,000 followersThe audience likely includes fans, followers, and individuals interested in personal updates or entertainment content.
Good
Audience Quality
16.5%
Suspicion Index
30.6%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.7%
Empty Bio
22.0%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
23.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.7%
No URL
12.5%
<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.
29,808,759
Total Potential Reach
54
Median Follower Reach
187
75th Percentile Reach
1.9%
>1K followers
0.3%
>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).
53.4%
Creators
26,720 accounts
24.6%
Consumers
12,302 accounts
22.0%
Dormant
10,978 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):
16
Verified Followers
0.02% of total
12,598
Protected Accounts
12.6% 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 |
|---|---|---|---|
| @benlandis | 2,847,887 | - | - |
| @jpedrerol | 1,828,127 | Sports journalist | Football, Sports, Journalism |
| @Mega | 1,615,760 | Media | TV, Entretenimiento, Noticias |
| @20m | 1,506,385 | News Outlet | Not provided. |
| @LILBTHEBASEDGOD | 1,247,691 | Rapper | Music, Writing, Film |
| @SleepSkee | 710,328 | Musician | Music, Independent, Artist |
| @ghoficial | 677,784 | TV Producer | Reality TV, Television, ZeppelinTV |
| @El_Ciudadano | 580,925 | Journalist | Prensa, Libertaria, Denuncia |
| @djkingassassin | 473,839 | DJ | Music, Club, Producer |
| @Tamara_Gorro | 471,592 | Presenter | Family, Business, TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,207
Followers With Bio
47,793
Followers Without Bio
52.21%
% With Bio
47.79%
% 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 analyzed791,823
Combined Engagement
0
Total Likes
791,823
Total Retweets
158,365
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: Michelle and I are thinking of the victims and their families in Barcelona. Americans will always stand with our Spanish f…
RT @Cristiano: Victory is a State of Mind. A long tradition of crafting trunks photographed by @annieleibovitz for @LouisVuitton https://t.…
RT @realmadrid: #GraciasCristiano https://t.co/gMr9w9gQF0
RT @Cristiano: The Amazon Rainforest produces more than 20% of the world’s oxygen and its been burning for the past 3 weeks. It’s our respo…
RT @RafaelNadal: #CHAMP10N https://t.co/BV0M1qE7NE
Key Insights & Takeaways
The user frequently shares personal and casual content, suggesting a focus on relatability and humor. The bio mentions being 'Made in Canarias,' indicating a possible regional or cultural identity. The top tweets include personal interactions and light-hearted posts, highlighting a casual and friendly tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 206,311
- + 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 @AlbertoSantana_ reveals an well-established Twitter presence with 206,311 followers. The account demonstrates a content-creator strategy, averaging 646.7 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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