Diva Dirt
The source for women's wrestling since 2008
99.356
Followers
540
Following
70.256
Tweets
26,5
Avg Engagement
705
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @divadirt'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: Mid-Tier (10K+)
- Account Age:2009-01-28
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:3.200
- Avg Likes per Tweet:22,1
- Avg Retweets per Tweet:4,4
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.200 tweetsThe account has a steady engagement rate, with most tweets receiving around 842 likes and 84 retweets on average. The content is well-received, indicating a loyal and active audience.
22,1
Avg Likes/Tweet
4,4
Avg Retweets/Tweet
70.822
Total Likes
13.930
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
3
Median Retweets
26
75th Percentile
3.257
Top Tweet
0,27
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
100,0%
Original
0,0%
Replies
0,0%
Retweets
0,0%
Quotes
0,0%
Threads
0,2%
With Media
100,0%
With Links
100,0%
With #Tags
0,0%
With @Mentions
0,0%
With Emojis
144
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74,4%
Weekday Posts
25,6%
Weekend Posts
Top Hashtags
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Content Strategy Analysis
Based on 3.200 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.
Posting Patterns & Optimal Timing
Based on 3.200 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 primarily consists of wrestling fans, especially those interested in women's wrestling and WWE events. The account's content appeals to both casual viewers and dedicated followers of the sport.
Average
Audience Quality
26,7%
Suspicion Index
23,0%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33,7%
Empty Bio
20,0%
<10 Tweets
27,6%
Mass Following (>2K)
0,0%
New (<90 days)
56,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
84,5%
No URL
12,2%
<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.
27.927.642
Total Potential Reach
78
Median Follower Reach
298
75th Percentile Reach
9,2%
>1K followers
1,2%
>10K followers
0,5%
>50K followers
0,3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62,0%
Creators
6.205 accounts
18,0%
Consumers
1.796 accounts
20,0%
Dormant
1.999 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):
66
Verified Followers
0.66% of total
1.279
Protected Accounts
12.79% 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 |
|---|---|---|---|
| @JohnCena | 14.092.887 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2.025.513 | - | - |
| @BJMendelson | 448.642 | - | - |
| @JeanieBuss | 433.363 | Sports Executive | Basketball, Tequila, Wrestling |
| @KAIRI_official | 387.760 | Wrestler | Wrestling, Sailing, Fitness |
| @MICHELEMUPO | 353.495 | Influencer | Music, Social Media, Acting |
| @MadisonRayne | 292.715 | Professional Wrestler | Wrestling, Fitness, Food |
| @angelinamtvjs | 271.275 | Reality TV Star | Reality TV, Beauty, Pets |
| @MrPEC_Tacular | 267.284 | Wrestler | Wrestling, TV, Music |
| @IamCvind | 256.001 | Musicians | Music, Parenting, Marketing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.630
Followers With Bio
3.370
Followers Without Bio
66.3%
% With Bio
33.7%
% 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 3.200 analyzed6.455
Combined Engagement
6.012
Total Likes
443
Total Retweets
1.291
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Cassie Lee (Peyton Royce) Gives Birth To First Child https://t.co/7cbdP3HxB6 #News #CassieLee https://t.co/lypNkoDYhO
Trish Stratus Stays Open Minded For A Match With Sasha Banks https://t.co/gL8cjuFNv5 #WWE #SashaBanks #TrishStratus https://t.co/wZrYrKefiW
Bayley encourages Liv Morgan as she steps up to Becky Lynch https://t.co/5Tj3pP77Sa #Headlines #WWE #Bayley #LivMorgan https://t.co/gwHgUgSLTR
Sasha Banks Wants A Match With NXT Tag Team, Gives Them Praise https://t.co/VoMPwE0WE1 #NXT #KatanaChance #KaydenCarter #Naomi https://t.co/Dbryu7PP1Q
Sasha Banks in the running for an Emmy Award https://t.co/3A4xTtirco #Headlines #WWE #SashaBanks https://t.co/9fm8SoRmFs
Key Insights & Takeaways
The account frequently shares news about prominent wrestlers like Cassie Lee, Trish Stratus, and Bayley, highlighting their personal and professional milestones. It uses hashtags effectively to categorize and promote content, increasing visibility and reach. The content is tailored to WWE fans, focusing on in-ring action, storylines, and significant moments in women's wrestling history.
Strengths
- + Established follower base of 99.356
- + 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 @divadirt reveals an growing Twitter presence with 99.356 followers. The account demonstrates a content-creator strategy, averaging 26,5 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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