Héctor Gómez
MLB Insider. De Bánica. Editor Deportivo @z101digital /Show del Mediodía / Columnista @periodicohoy / IG https://www.facebook.com/unsupportedbrowser
103,011
Followers
15,245
Following
386,642
Tweets
181.6
Avg Engagement
530
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @hgomez27'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:2011-02-22
- Verification:No
- Location:Bánica, Dominican Republic
Data Summary
- Tweets Analyzed:3,078
- Avg Likes per Tweet:21.2
- Avg Retweets per Tweet:160.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,078 tweetsThe account has moderate engagement, averaging 480 likes and 88 retweets per tweet. The content is well-received, as evidenced by the high number of followers and the popularity of top tweets.
21.2
Avg Likes/Tweet
160.4
Avg Retweets/Tweet
65,321
Total Likes
493,612
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
51
75th Percentile
23,324
Top Tweet
1.76
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
30.2%
Original
33.4%
Replies
31.1%
Retweets
5.4%
Quotes
0.0%
Threads
0.0%
With Media
66.2%
With Links
10.0%
With #Tags
75.6%
With @Mentions
17.2%
With Emojis
147
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.11
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
75.5%
Weekday Posts
24.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,078 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 957 retweets (31% 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 3,078 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 is likely baseball fans, especially those interested in MLB performance metrics and player comparisons. The mix of Spanish and English suggests a bilingual or international audience.
Good
Audience Quality
19.4%
Suspicion Index
23.9%
Low-Quality %
71
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.8%
Empty Bio
15.5%
<10 Tweets
12.3%
Mass Following (>2K)
0.0%
New (<90 days)
41.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
9.9%
<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.
11,815,190
Total Potential Reach
71
Median Follower Reach
264
75th Percentile Reach
8.1%
>1K followers
1.7%
>10K followers
0.4%
>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).
69.1%
Creators
6,909 accounts
15.4%
Consumers
1,540 accounts
15.5%
Dormant
1,551 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):
152
Verified Followers
1.52% of total
973
Protected Accounts
9.73% of total
7 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 |
|---|---|---|---|
| @Mariners | 706,437 | Sports Team | Baseball, Seattle, Social media |
| @_B___S | 553,463 | - | - |
| @Moreno | 430,943 | Influencer | Business, Manager, Serious |
| @CervPresidente | 405,563 | Brewery | Beer, Responsibility, Health |
| @RealCoryMachado | 366,177 | Philanthropist | fighting hunger, feeding people, philanthropy |
| @raquelarbaje | 357,906 | First Lady | journalism, administration, family |
| @David_Leavitt | 347,805 | - | - |
| @newyorkgrimaldi | 183,360 | Chef | New York, Pizza, Food |
| @Fullcountc2 | 154,712 | Baseball Media | Baseball, Parent-child, Skill development |
| @OddsShark | 145,298 | Sports Betting | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,220
Followers With Bio
3,780
Followers Without Bio
62.2%
% With Bio
37.8%
% 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 3,078 analyzed87,570
Combined Engagement
0
Total Likes
87,570
Total Retweets
17,514
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @Lakers: Dub. https://t.co/6tlhXqQAEu
RT @Lakers: One more. https://t.co/H2sHD3ufXW
RT @Lakers: Lakers in Six. https://t.co/qaIbHEQ3vT
RT @Lakers: LAKERS IN SIX https://t.co/dbs9a0gAII
RT @NBA: The 2022-23 Kia NBA Most Valuable Player is... Joel Embiid! #NBAAwards | #KiaMVP | @Kia https://t.co/Ztj5HCzfuL
Key Insights & Takeaways
The account provides in-depth analysis of top MLB performers like Ronald Acuña Jr. and Juan Soto. It includes player comparisons and performance metrics, such as batting averages and OPS. It also touches on topics like the Hall of Fame, indicating a broader interest in baseball history and culture.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 103,011
- + 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 @hgomez27 reveals an well-established Twitter presence with 103,011 followers. The account demonstrates a conversation-first approach, averaging 181.6 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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