Raquel Pennington
Fighter🥊•Adventurer✈️•Family❤️•Hunter🦌•Fishing🎣•Mentor•Coach 💍 @TeciaTorres & Alayah Rose 💕 #2 UFC Women’s Bantamweight
84,530
Followers
703
Following
6,796
Tweets
100.9
Avg Engagement
453
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RockyPMMA'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:2012-09-29
- Verification:No
- Location:Colorado, USA
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:65.0
- Avg Retweets per Tweet:35.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,171 tweetsThe account maintains a consistent level of engagement with a mix of humor, motivational posts, and personal updates. The use of trending topics and hashtags helps drive interaction.
65.0
Avg Likes/Tweet
35.9
Avg Retweets/Tweet
206,089
Total Likes
113,774
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
2
Median Retweets
80
75th Percentile
62,959
Top Tweet
1.19
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
57.5%
Original
33.3%
Replies
8.3%
Retweets
0.9%
Quotes
0.0%
Threads
0.4%
With Media
46.5%
With Links
37.5%
With #Tags
63.5%
With @Mentions
42.4%
With Emojis
90
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.1%
Weekday Posts
26.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 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 262 retweets (8% 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 3,171 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 appears to be fans of MMA, fitness enthusiasts, and followers of personal development. They are likely interested in motivational content, sports highlights, and lifestyle updates.
Average
Audience Quality
28.9%
Suspicion Index
30.9%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
27.5%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
67.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
18.0%
<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.
6,898,062
Total Potential Reach
31
Median Follower Reach
123
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).
50.2%
Creators
5,023 accounts
22.3%
Consumers
2,230 accounts
27.5%
Dormant
2,747 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):
105
Verified Followers
1.05% of total
1,082
Protected Accounts
10.82% of total
4 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 |
|---|---|---|---|
| @SinghLions | 1,330,401 | Restaurateur | Food, Travel, Influencer |
| @BWWings | 632,371 | Restaurant | Sports, Food, Customer Service |
| @Moreno | 430,827 | Influencer | Business, Manager, Serious |
| @davidmweissman | 348,455 | - | - |
| @TeciaTorres | 222,797 | MMA Fighter | UFC, TeamTiny, Education |
| @Anthony_Rumble | 190,946 | Manager | MMA, Marketing, Fitness |
| @trinitysfaith | 118,275 | Influencer | Jesus, Faith, Love |
| @FiteTV | 118,237 | Streaming Platform | Sports, Entertainment, Streaming |
| @WhiteBeltBJJ | 111,172 | - | - |
| @StreetFightsHD | 96,342 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,625
Followers With Bio
4,375
Followers Without Bio
56.25%
% With Bio
43.75%
% 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 3,171 analyzed103,434
Combined Engagement
19,743
Total Likes
83,691
Total Retweets
20,687
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @TheEllenShow: I love @DDLovato so much. It breaks my heart that she is going through this. She is a light in this world, and I am sending my love to her and her family.
This chick 🙄 messing up a great name 🤣🤣🤣 https://t.co/4ynKBFjjjy
RT @b_ricker: If anyone recognizes this sweet couple, please let me know. I’d love to send them a copy of this picture for them to have. Unfortunately my stop came and I was unable to send them it. -(Taken on the NYC 1 train, towards downtown/Brooklyn, on Tuesday Evening, July 1
RT @kwilli1046: Caption this... 🐐 🤣🤣 https://t.co/iBVD7Rmiwq
RT @arielhelwani: Conor McGregor vs. Khabib Nurmagomedov has just been announced for Oct. 6 in Las Vegas.
Key Insights & Takeaways
The account uses humor and relatable content to connect with followers It leverages personal branding and partnerships with notable figures like Tecia Torres and Alayah Rose The content is diverse, covering fitness, family, and sports with a strong visual presence
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84,530
- + 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 @RockyPMMA reveals an well-established Twitter presence with 84,530 followers. The account demonstrates a content-creator strategy, averaging 100.9 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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