🏴🔥
Female Professional Wrestler I Love What I Do,You Cant Change That 😋 ☠
103,386
Followers
1,946
Following
6,700
Tweets
314.0
Avg Engagement
424
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @wwe_alba'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:2011-10-11
- Verification:No
- Location:Scotland
Data Summary
- Tweets Analyzed:3,188
- Avg Likes per Tweet:113.8
- Avg Retweets per Tweet:200.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,188 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in her content.
113.8
Avg Likes/Tweet
200.1
Avg Retweets/Tweet
362,909
Total Likes
638,050
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
13
Median Retweets
168
75th Percentile
124,655
Top Tweet
3.04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
11.4%
Original
23.0%
Replies
39.8%
Retweets
25.8%
Quotes
0.0%
Threads
1.0%
With Media
79.5%
With Links
37.9%
With #Tags
75.7%
With @Mentions
53.6%
With Emojis
107
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.01
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.5%
Weekday Posts
20.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,188 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 1,268 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 3,188 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 followersHer audience appears to be fans of professional wrestling, particularly those interested in WWE and NXT UK.
Average
Audience Quality
26.9%
Suspicion Index
29.6%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.8%
Empty Bio
26.0%
<10 Tweets
14.8%
Mass Following (>2K)
0.0%
New (<90 days)
60.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.9%
No URL
16.4%
<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.
6,623,433
Total Potential Reach
45
Median Follower Reach
146
75th Percentile Reach
4.1%
>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).
51.3%
Creators
5,128 accounts
22.7%
Consumers
2,274 accounts
26.0%
Dormant
2,598 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):
69
Verified Followers
0.69% of total
892
Protected Accounts
8.92% of total
3 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 |
|---|---|---|---|
| @WWENXT | 1,673,196 | Wrestler | WWE, NXT, Wrestling |
| @angelinamtvjs | 271,279 | Reality TV Star | Reality TV, Beauty, Pets |
| @JordanFish86 | 159,480 | - | - |
| @SteveComisar | 150,979 | Actor | Actor, Comedy, Entertainment |
| @notsam | 140,371 | Broadcaster | WWE, Wrestling, Podcasts |
| @NXTLevelUp | 128,455 | Wrestler | Wrestling, Streaming, Entertainment |
| @BrunoSigwela | 119,220 | Talk Show Host | Talk, King, Mind |
| @DijakWWE | 115,030 | - | - |
| @TheWestinBlake | 109,843 | Father | Fatherhood, Marriage, Bulldog |
| @DamoMackle | 100,269 | Wrestler | Pro Wrestling, Orlando, LGBTQ+ |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,718
Followers With Bio
4,282
Followers Without Bio
57.18%
% With Bio
42.82%
% 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 3,188 analyzed378,166
Combined Engagement
0
Total Likes
378,166
Total Retweets
75,633
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @RidiculousDak: Me happily listening to the same 6 songs everyday https://t.co/8goDOTSLvw
RT @thEMANacho: Dear white people, For days you’ve asked me what you can do to help. I’ve finally found an answer. Let your guard down and listen. https://t.co/74SVv8XOqp
RT @rysndrs: just found this artist on insta named Adrian Brandon and I’ve included his statement about his series. I can not describe the emotions I felt while looking at his portraits https://t.co/uehyut44QA
RT @J_87d: The Statue of Winston Churchill has been vandalised during nearly every mass protest in London, for years. May Day protests, anti capitalism demo's, Student protests. Where were the 'Football Lads' then? Where was the @bluecollartory_ group? Nowhere. Because white peo
RT @sueperkins: A big fuck you to all the Nazis out there today
Key Insights & Takeaways
She emphasizes her championship legacy and dedication to her title, which resonates with her fans. Her use of hashtags and mentions helps increase visibility and engagement. She maintains a consistent and passionate tone in her tweets, reflecting her deep connection to her sport.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 103,386
- + 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 @wwe_alba reveals an well-established Twitter presence with 103,386 followers. The account demonstrates a conversation-first approach, averaging 314.0 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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