Bud Elliott
@247sports @cbssports @cover3podcast | ‘22 Sports Pod of YR @Nolecast | Hit the linktree for the rest ↓↓↓
88,582
Followers
11,026
Following
25,360
Tweets
36.1
Avg Engagement
1,731
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BudElliott3'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:2009-04-03
- Verification:No
- Location:407
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:25.0
- Avg Retweets per Tweet:11.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,246 tweetsBud Elliott's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is often shared and discussed within the sports community.
25.0
Avg Likes/Tweet
11.1
Avg Retweets/Tweet
81,019
Total Likes
36,087
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
21
75th Percentile
8,914
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
Mixed
Balanced content approach
15.4%
Original
49.0%
Replies
21.5%
Retweets
14.1%
Quotes
0.0%
Threads
0.1%
With Media
42.1%
With Links
3.8%
With #Tags
70.3%
With @Mentions
4.8%
With Emojis
119
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.19
Reply/Original Ratio
0.66
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.8%
Weekday Posts
17.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 698 retweets (22% 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 3,246 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 9,998 followersHis audience primarily consists of sports enthusiasts and podcast listeners interested in college and professional sports. The content appeals to those who enjoy analysis and debate around sports teams and coaches.
Good
Audience Quality
18.9%
Suspicion Index
25.8%
Low-Quality %
90
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.6%
Empty Bio
18.0%
<10 Tweets
11.9%
Mass Following (>2K)
0.0%
New (<90 days)
34.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.0%
No URL
12.0%
<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.
10,409,320
Total Potential Reach
90
Median Follower Reach
299
75th Percentile Reach
8.5%
>1K followers
1.5%
>10K followers
0.3%
>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).
64.8%
Creators
6,475 accounts
17.2%
Consumers
1,724 accounts
18.0%
Dormant
1,799 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):
210
Verified Followers
2.1% of total
1,128
Protected Accounts
11.28% 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 |
|---|---|---|---|
| @ZachBoychuk | 827,051 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @LeBatardShow | 460,147 | Sports Talk | Sports, Comedy, Social Media |
| @10AJMcCarron | 439,250 | Athlete | Family, Christ, Winning |
| @EvanKirstel | 348,506 | Tech Influencer | Tech, B2B, Social media |
| @MartySmithESPN | 325,318 | Sports Journalist | Sports, Family, Passion |
| @corygfitness | 237,898 | Fitness Influencer | Powerlifting, Fitness, Entrepreneurship |
| @ToneDigz | 191,996 | Sports Analyst | Football, Comedy, Podcasts |
| @CodyBrownBets | 165,747 | Sports Bettor | Sports betting, Data analysis, Free picks |
| @daverichard | 147,037 | Fantasy Analyst | Fantasy Football, Sports Betting, Fantasy Baseball |
| @NoisyHuevos | 146,341 | Sports Writer | Fantasy Football, Betting, NCAAB |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,044
Followers With Bio
3,956
Followers Without Bio
60.44%
% With Bio
39.56%
% 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 3,246 analyzed18,529
Combined Engagement
4,954
Total Likes
13,575
Total Retweets
3,706
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @CodifyBaseball: If you aren't impressed, you should be. Mike Trout has had 3 swinging strikes in only 24 of his 6,174 career MLB plate appearances! https://t.co/VTlcRnAgPH
South Carolina calling itself USC is like Fresno State calling itself FSU. https://t.co/viT7Hz2cy3
Guy played at Texas Tech, the school at which Mike Leach, a coach who never played ball, changed the sport of football more than any coach since WWII. But go off. https://t.co/AQLNeKNDHP
RT @dannykanell: If you ever wondered why college coaches don't work in the NFL....this in a nutshell is why. https://t.co/eL7GNhcoBg
RT @edsbs: I hope when you write it you point out that the teams clearly made the decision. Not the NFL.
Key Insights & Takeaways
He frequently uses humor and comparison to highlight controversial or humorous aspects of sports teams and coaches. His tweets often reference specific schools and coaches, indicating a focus on college football and its history. He leverages his connections with major sports media to expand his reach and credibility.
Strengths
- + Established follower base of 88,582
- + 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 @BudElliott3 reveals an growing Twitter presence with 88,582 followers. The account demonstrates a conversation-first approach, averaging 36.1 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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