Tom House 〽️
I coach kids of all ages to be their own GOAT. Caught Hank Aaron’s 715th. Founder: @TeamMSTRD @NPA_Pitching @train3DQB
85,774
Followers
256
Following
23,123
Tweets
65.0
Avg Engagement
376
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tomhouse'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:2009-05-30
- Verification:No
- Location:Southern California
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:43.6
- Avg Retweets per Tweet:21.4
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,242 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content is both informative and emotionally engaging, driving consistent engagement.
43.6
Avg Likes/Tweet
21.4
Avg Retweets/Tweet
141,248
Total Likes
69,535
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
30
75th Percentile
5,881
Top Tweet
0.76
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
11.4%
Original
36.2%
Replies
45.3%
Retweets
7.1%
Quotes
0.0%
Threads
0.3%
With Media
49.7%
With Links
4.4%
With #Tags
83.3%
With @Mentions
10.1%
With Emojis
135
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.18
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,242 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 1,469 retweets (45% 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 3,242 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 includes young athletes and baseball enthusiasts looking for training tips and inspiration. Fans of baseball history and performance analytics are also drawn to his content.
Good
Audience Quality
18.3%
Suspicion Index
23.3%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.6%
Empty Bio
24.2%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
30.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.8%
No URL
14.1%
<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.
8,045,245
Total Potential Reach
68
Median Follower Reach
200
75th Percentile Reach
5.7%
>1K followers
0.9%
>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).
46.5%
Creators
4,652 accounts
29.3%
Consumers
2,925 accounts
24.2%
Dormant
2,421 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):
154
Verified Followers
1.54% of total
718
Protected Accounts
7.18% of total
5 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 |
|---|---|---|---|
| @MichaelCole | 809,782 | Wrestling Commentator | WWE, Smackdown, CBS |
| @IamMzilikazi | 552,844 | Musician | Pan-African music, Album, Rise |
| @De11eDonne | 266,899 | Basketball Player | Basketball, Delaware, Washington |
| @chambleebrandel | 257,035 | Golf Analyst | Golf, Literature, Politics |
| @jcrasnick | 207,500 | Baseball Writer | Baseball, Media, MLBPA |
| @SportPsychTips | 169,911 | - | - |
| @nut_history | 167,557 | Baseball Historian | Baseball, Card collection, History |
| @TheSavBananas | 160,970 | Baseball Team | Baseball, Fans, Entertainment |
| @kerrileewalsh | 159,832 | Athlete | Volleyball, Olympics, Family |
| @ChadPergram | 154,350 | Journalist | Congress, FOX News, Capitol Hill |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,737
Followers With Bio
3,263
Followers Without Bio
67.37%
% With Bio
32.63%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,242 analyzed18,980
Combined Engagement
6,142
Total Likes
12,838
Total Retweets
3,796
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @PitchingNinja: Sister Jean K'ing Javy Baez. https://t.co/K8iydA0jwd
The baseball world has tracked every Bryce Harper swing since he was 16 years old. It’s really a powerful moment to hear “THE SWING OF HIS LIFE.” This line resonates so much because it has deep history and meaning for Bryce and the baseball audience. https://t.co/Yq4VLe9nAl
RT @CodifyBaseball: Tonight, Shohei Ohtani: ⚾️ hit a baseball 114.0 MPH ⚾️ threw a baseball 101.6 MPH ⚾️ ran to first in 4.16 seconds If that sounds completely insane, that's because it is. https://t.co/V2HudsuqTb
RT @MLBRandomStats: Albert Pujols’ average home run trot over the years it has been tracked by Statcast is ~26 seconds. Extrapolated over his full career, Pujols has spent just over 5 HOURS of his life just running the bases after hitting a home run!
223 MLB pitchers have thrown 100mph. There’s only been one Greg Maddux. You’re more likely to throw 100mph than pitch like Greg Maddux. Baseball parents created a myth about a more achievable, low velo, high-IQ pitcher. They failed to recognize that he’s the outlier talent.
Key Insights & Takeaways
Tomhouse emphasizes the importance of individual excellence and self-belief in sports. He uses historical moments and player achievements to highlight key lessons in performance and respect for the game. His content often blends data with storytelling, making complex ideas accessible and relatable.
Strengths
- + Established follower base of 85,774
- + 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 @tomhouse reveals an growing Twitter presence with 85,774 followers. The account demonstrates a conversation-first approach, averaging 65.0 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access