ALEXA TOMAS
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159,492
Followers
669
Following
1,916
Tweets
65.6
Avg Engagement
589
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AlexaTomas_x'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:2013-07-15
- Verification:No
- Location:España
Data Summary
- Tweets Analyzed:923
- Avg Likes per Tweet:53.9
- Avg Retweets per Tweet:11.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 923 tweetsThe account has high engagement with an average of 901 likes and 80 retweets per tweet, indicating a dedicated and active follower base.
53.9
Avg Likes/Tweet
11.6
Avg Retweets/Tweet
49,786
Total Likes
10,721
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
30
75th Percentile
1,135
Top Tweet
0.41
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
28.1%
Original
22.9%
Replies
49.1%
Retweets
0.0%
Quotes
0.0%
Threads
2.2%
With Media
71.1%
With Links
15.6%
With #Tags
73.8%
With @Mentions
46.0%
With Emojis
90
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.81
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.3%
Weekday Posts
28.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 923 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 453 retweets (49% 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 923 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 individuals interested in adult entertainment, personal connections, and exclusive content, possibly seeking private interactions or paid services.
Below Average
Audience Quality
39.0%
Suspicion Index
47.6%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.2%
Empty Bio
42.3%
<10 Tweets
22.2%
Mass Following (>2K)
0.0%
New (<90 days)
79.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
30.9%
<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.
27,893,683
Total Potential Reach
26
Median Follower Reach
86
75th Percentile Reach
2.6%
>1K followers
0.6%
>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).
37.0%
Creators
18,497 accounts
20.7%
Consumers
10,352 accounts
42.3%
Dormant
21,151 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):
128
Verified Followers
0.13% of total
25,870
Protected Accounts
25.62% 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 |
|---|---|---|---|
| @avnawards | 2,545,171 | Awards Ceremony | Adult entertainment, Awards, Las Vegas |
| @6BillionPeople | 2,033,238 | - | - |
| @KameronBennett | 1,823,340 | DJ | Music, DJing, Booking |
| @XBIZ | 1,290,614 | Adult Industry | Adult industry, news, community |
| @jordiporn | 1,066,594 | Adult performer | Porn, Male Performer, Awards |
| @KSLibraryGirl | 1,010,143 | Adult Entertainer | Brazzers, Barbie, Stoner |
| @xBrooklynBluex | 929,148 | Pornstar | Porn, TV, XFactor |
| @therealJuliaAnn | 733,455 | Adult Film Star | Adult, California, Hall of Fame |
| @AssReFocus | 690,849 | Adult entertainer | Ass, Focus, Straight |
| @RAFAMORATETE | 659,696 | Influencer | Reality TV, Influencer, Public Figure |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
35,718
Followers With Bio
65,273
Followers Without Bio
35.37%
% With Bio
64.63%
% 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 923 analyzed5,374
Combined Engagement
4,947
Total Likes
427
Total Retweets
1,075
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
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Key Insights & Takeaways
The user leverages personal and explicit content to attract and retain followers. The account uses direct calls to action and links to drive traffic and monetization. There is a clear focus on building intimate and exclusive relationships with followers.
Strengths
- + Established follower base of 159,492
- + 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 @AlexaTomas_x reveals an growing Twitter presence with 159,492 followers. The account demonstrates a content-creator strategy, averaging 65.6 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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