Sam Spiegelman
National Recruiting Analyst @on3recruits | 🏝️ picks | Isabella’s Uncle
58,995
Followers
5,422
Following
95,577
Tweets
46.7
Avg Engagement
250
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @samspiegs'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:2009-05-18
- Verification:No
- Location:Austin, TX
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:16.6
- Avg Retweets per Tweet:30.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,231 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. The content is well-received, with a focus on top recruits and their connections to Oklahoma.
16.6
Avg Likes/Tweet
30.2
Avg Retweets/Tweet
53,514
Total Likes
97,439
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
17
Median Retweets
52
75th Percentile
2,098
Top Tweet
0.79
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
15.9%
Original
0.9%
Replies
73.6%
Retweets
9.5%
Quotes
0.0%
Threads
0.2%
With Media
98.5%
With Links
16.4%
With #Tags
80.1%
With @Mentions
40.3%
With Emojis
183
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
80.4%
Weekday Posts
19.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 2,379 retweets (74% 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 3,231 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 primary audience includes college football fans, recruiters, and high school athletes interested in Oklahoma's recruiting efforts. It also appeals to followers of sports analysis and personal content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
141
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
65.5%
No URL
100.0%
<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.
6,509,293
Total Potential Reach
141
Median Follower Reach
328
75th Percentile Reach
7.5%
>1K followers
1.0%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
408
Protected Accounts
4.08% 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 |
|---|---|---|---|
| @kevincorke | 184,944 | Journalist | Politics, News, Sports |
| @JoshuaMorrowYR | 143,885 | Actor | - |
| @Scout_JamesH | 109,610 | College Scout | College sports, scouting, recruitment |
| @BrandonHuffman | 100,791 | Recruiting Editor | Recruiting, Dad, Husband |
| @WorldChampNet | 95,679 | Sports Media | sports, competition, networking |
| @AndrewSportss4 | 94,816 | - | - |
| @kevin_powell | 78,185 | Writer | Poetry, Journalism, Activism |
| @Scout_ScottC | 77,948 | Athletic Scout | College athletics, scouting, coaching |
| @_MLFootball | 75,493 | Sports Journalist | NFL, Breaking News, Transactions |
| @MrsTylerKSR | 66,525 | Sports Journalist | Kentucky, Sports, Radio |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,194
Followers With Bio
1,806
Followers Without Bio
81.94%
% With Bio
18.06%
% 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 3,231 analyzed6,372
Combined Engagement
4,936
Total Likes
1,436
Total Retweets
1,274
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
Hall of Fame LT and Oklahoma legend Trent Williams giving RB1 Taylor Tatum his props — and a recruiting pitch to OU https://t.co/T68sk1Y0a8
Five-star DL Dominick McKinley a part of Oklahoma’s massive official visit for the ChampU BBQ weekend @DominickMcKinl4 @SoonerScoop https://t.co/q7PJoXtK7I
Elite On300 RB Taylor Tatum took an official visit to Oklahoma over the weekend and is no longer going to visit Michigan. The nation's No. 1 running back is down to two teams and moving closer toward a decision: https://t.co/pO5qDGqLhI (On3+) https://t.co/tLUDKxx6sW https://t.c
RT @On3sports: 100 DAYS UNTIL COLLEGE FOOTBALL🤩 https://t.co/EWMacq04n5
Breaking: Oklahoma lands its QB to jumpstart the 2024 class in Michael Hawkins. Hawkins has been a priority for Jeff Lebby and Brent Venables, who have changed the culture in Norman. Story: https://t.co/xuQzUvWFMq https://t.co/DeUoM4NROR
Key Insights & Takeaways
The account emphasizes Oklahoma's recruitment success and highlights key prospects like Taylor Tatum and Dominick McKinley. Content often includes links to official visits and recruiting events, showing a focus on real-time updates. Personal elements like mentioning Isabella add a relatable touch and may help build a closer connection with followers.
Strengths
- + Established follower base of 58,995
- + 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 @samspiegs reveals an growing Twitter presence with 58,995 followers. The account demonstrates a content-creator strategy, averaging 46.7 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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