Albert Almora Jr.
Son. Father. Husband. Baseball Player. World Series Champion. USA Baseball Alumni.
119.035
Followers
870
Following
767
Tweets
331,0
Avg Engagement
690
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @albertalmora'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:2012-06-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:721
- Avg Likes per Tweet:151,1
- Avg Retweets per Tweet:179,9
- Followers Analyzed:50.000
Engagement Analysis
Based on 721 tweetsHis tweets receive an average of 6,582 likes and 659 retweets, showing high engagement. His content is mostly celebratory and motivational, which resonates well with his audience.
151,1
Avg Likes/Tweet
179,9
Avg Retweets/Tweet
108.944
Total Likes
129.710
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
44
75th Percentile
67.718
Top Tweet
2,78
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
35,5%
Original
18,2%
Replies
46,3%
Retweets
0,0%
Quotes
0,0%
Threads
0,1%
With Media
25,2%
With Links
51,9%
With #Tags
80,9%
With @Mentions
7,6%
With Emojis
84
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,51
Reply/Original Ratio
0,0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77,8%
Weekday Posts
22,2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 721 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 334 retweets (46% 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 721 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 includes baseball fans, fellow athletes, and supporters of his team. The majority of his followers are likely interested in sports and his career achievements.
Average
Audience Quality
23,9%
Suspicion Index
30,0%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45,5%
Empty Bio
23,6%
<10 Tweets
10,2%
Mass Following (>2K)
0,0%
New (<90 days)
52,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,3%
No URL
14,5%
<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.
54.018.803
Total Potential Reach
31
Median Follower Reach
134
75th Percentile Reach
3,5%
>1K followers
0,5%
>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).
53,4%
Creators
26.699 accounts
23,0%
Consumers
11.499 accounts
23,6%
Dormant
11.802 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):
390
Verified Followers
0.39% of total
14.080
Protected Accounts
13.94% 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 |
|---|---|---|---|
| @JohnCena | 14.101.257 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LoganPaul | 6.810.447 | Influencer | Vlogging, Comedy, Fitness |
| @Ninja | 6.674.479 | Gamer | video games, business |
| @faridyu | 2.961.428 | Baseball Player | Baseball, Quotes, Supplements |
| @MikeTrout | 2.576.497 | Baseball Player | Baseball, Angels, Jess Tara |
| @MLBNetwork | 2.206.980 | Sports Media | Baseball, Social Media, Giveaways |
| @6BillionPeople | 2.032.991 | - | - |
| @LindseyPelas | 1.951.393 | Model | Model, Influencer, Fitness |
| @lelepons | 1.830.021 | Entertainer | Music, Comedy, Entertainment |
| @MLBONFOX | 1.561.873 | Sports Media | Baseball, FOX Sports, MLB |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53.859
Followers With Bio
47.140
Followers Without Bio
53.33%
% With Bio
46.67%
% 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 721 analyzed115.199
Combined Engagement
42.496
Total Likes
72.703
Total Retweets
23.040
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @KingJames: IM READY!!!! Oh my bad I thought, maybe u were, umm never mind back to my regular schedule program https://t.co/4JmeesffNu
Chicago!!!!!! This was for you!!! The best fans in baseball deserve nothing less!!! World champs baby!!!!! #FlyTheW
I caught it...
Let’s goooooo!!!!!!!! @kschwarb12
@JeffEisenband I was a pinch runner and scored.
Key Insights & Takeaways
His tweets are highly emotional and celebratory, reflecting his pride in his achievements. He frequently interacts with fans, showing a strong connection with his audience. His use of hashtags and exclamation marks adds to the excitement and visibility of his posts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 119.035
- + 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 @albertalmora reveals an well-established Twitter presence with 119.035 followers. The account demonstrates a content-creator strategy, averaging 331,0 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.
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