Ramona Shelburne
Senior Writer https://espn.com/. https://www.facebook.com/unsupportedbrowser
422,879
Followers
8,623
Following
55,965
Tweets
781.2
Avg Engagement
9,206
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ramonashelburne'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:2008-11-20
- Verification:No
- Location:Los Angeles
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:92.1
- Avg Retweets per Tweet:689.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsHis tweets receive an average of 9,350 likes and 1,423 retweets, indicating a highly engaged audience. The consistent interaction suggests a loyal following that values his content and insights.
92.1
Avg Likes/Tweet
689.2
Avg Retweets/Tweet
298,631
Total Likes
2,234,951
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
32
Median Retweets
324
75th Percentile
129,481
Top Tweet
1.85
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
9.0%
Original
18.7%
Replies
65.1%
Retweets
7.2%
Quotes
0.0%
Threads
0.3%
With Media
21.6%
With Links
5.4%
With #Tags
86.1%
With @Mentions
8.3%
With Emojis
119
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.09
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.7%
Weekday Posts
21.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 2,111 retweets (65% 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 3,243 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 followersHis audience is primarily interested in sports news, especially NBA-related content, and is engaged with both current events and historical sports figures. The audience is likely to include sports fans, analysts, and followers of specific teams.
Average
Audience Quality
27.7%
Suspicion Index
33.6%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.3%
Empty Bio
29.8%
<10 Tweets
10.0%
Mass Following (>2K)
0.0%
New (<90 days)
64.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
20.9%
<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.
123,534,662
Total Potential Reach
21
Median Follower Reach
111
75th Percentile Reach
4.6%
>1K followers
0.9%
>10K followers
0.3%
>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).
49.8%
Creators
24,891 accounts
20.5%
Consumers
10,230 accounts
29.8%
Dormant
14,879 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):
1,515
Verified Followers
1.5% of total
11,651
Protected Accounts
11.54% of total
6 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 |
|---|---|---|---|
| @NBA | 42,940,882 | Sports Media | Basketball, Sports, Entertainment |
| @JohnCena | 14,104,300 | Wrestler | Wrestling, Motivation, Self-promotion |
| @iamsuperbianca | 7,507,893 | Television Host | Television, Writing, Advocacy |
| @RealMikeWilbon | 4,707,046 | Sports Analyst | Sports, Analysis, Columnist |
| @DezBryant | 3,498,739 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @SteveNash | 2,521,741 | Basketball Player | Basketball, Philanthropy, Community |
| @JoelEmbiid | 2,147,591 | Athlete | - |
| @RSherman_25 | 2,036,182 | Football Player | Football, Stanford, Confidence |
| @iHeartRadio | 2,024,611 | Media | Music, Stations, Podcasts |
| @AndrewYang | 1,700,140 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,614
Followers With Bio
44,383
Followers Without Bio
56.06%
% With Bio
43.94%
% 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 3,243 analyzed366,923
Combined Engagement
0
Total Likes
366,923
Total Retweets
73,385
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @TomBrady: These past two months I’ve realized my place is still on the field and not in the stands. That time will come. But it’s not n…
RT @VancityReynolds: The world looks different now. She was great at defying expectation. She managed to grow very old and somehow, not old…
RT @StephenCurry30: 🙌🏽 watch this as much as you watch the game tonight….
RT @NotoriousOHM: A furious, emotional and fed up Steve Kerr pleaded with senators to do something about the mass shootings. https://t.co/f…
RT @wojespn: The Brooklyn Nets are trading James Harden to the Philadelphia 76ers for Ben Simmons, Seth Curry, Andre Drummond and two first…
Key Insights & Takeaways
Ramon frequently reports on significant NBA events and controversies, such as the Draymond Green incident. He incorporates cultural and historical context, like referencing Hakeem Olajuwon's Yoruba heritage. He highlights team development and success stories, such as Giannis Antetokounmpo's journey with the Bucks.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 422,879
- + 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 @ramonashelburne reveals an well-established Twitter presence with 422,879 followers. The account demonstrates a conversation-first approach, averaging 781.2 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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