mattmoneysmith
3-7 PM @petrosandmoney on @am570lasports PxP @chargers Insta: @REALMATTMONEYSMITH
175,839
Followers
948
Following
27,824
Tweets
191.0
Avg Engagement
719
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mattmoneysmith'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:2012-08-20
- Verification:No
- Location:los angeles, CA
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:25.9
- Avg Retweets per Tweet:165.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received, with a focus on emotional and impactful stories.
25.9
Avg Likes/Tweet
165.1
Avg Retweets/Tweet
84,100
Total Likes
535,808
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
31
75th Percentile
69,176
Top Tweet
1.09
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
8.9%
Original
41.0%
Replies
42.1%
Retweets
8.0%
Quotes
0.0%
Threads
0.6%
With Media
36.5%
With Links
11.4%
With #Tags
90.3%
With @Mentions
11.0%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.61
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.5%
Weekday Posts
11.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 1,367 retweets (42% 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 3,245 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 primarily consists of sports fans, particularly those interested in NFL and MLS teams. The content resonates with fans who appreciate in-depth analysis and personal stories.
Below Average
Audience Quality
35.9%
Suspicion Index
53.1%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.6%
Empty Bio
50.9%
<10 Tweets
7.4%
Mass Following (>2K)
0.0%
New (<90 days)
71.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
42.6%
<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.
52,374,107
Total Potential Reach
5
Median Follower Reach
61
75th Percentile Reach
3.3%
>1K followers
0.6%
>10K followers
0.2%
>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).
35.5%
Creators
17,745 accounts
13.6%
Consumers
6,819 accounts
50.9%
Dormant
25,436 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):
255
Verified Followers
0.26% of total
5,198
Protected Accounts
5.2% 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 |
|---|---|---|---|
| @JohnCena | 14,100,417 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jimmyeatworld | 2,327,251 | Musician | Music, Surviving, Band |
| @SLAMonline | 1,339,345 | Sports Media | Basketball, Sneakers, Fashion |
| @RexChapman | 1,254,213 | Commentator | Basketball, Horse racing, Commentary |
| @CBS | 1,206,177 | Media | News, Entertainment, Television |
| @vernonkay | 1,148,526 | TV Presenter | TV presenter, Radio host, Football fan |
| @CSuiteConfess | 1,001,774 | Executive Coach | #MeToo, Executives, Navigating |
| @EdKrassen | 930,035 | Journalist | Politics, Journalism, Author |
| @minakimes | 863,191 | Sports Analyst | NFL, crossword, analytics |
| @NOH8Campaign | 801,050 | Activism | equality, bullying, discrimination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
27,282
Followers With Bio
72,718
Followers Without Bio
27.28%
% With Bio
72.72%
% 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 3,245 analyzed197,405
Combined Engagement
0
Total Likes
197,405
Total Retweets
39,481
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @RollingStones: https://t.co/wi6333F6QF
RT @chargers: Should we REALLY make our schedule release video an anime? yes yes yesyes yesyes yes yes y…
RT @Dodgers: https://t.co/FloR9dBhZj
RT @AdamSchefter: Chiefs and QB Patrick Mahomes have reached agreement on a 10-year -- 10-year! -- contract extension that ties him to Kans…
RT @alvinfoo: Sebastian Steudtner, a German pro surfer, rode a wave over 115 feet tall at Nazare, Portugal, a record breaking surf! https:/…
Key Insights & Takeaways
He often shares personal and emotional stories, which resonate deeply with his audience. He frequently references specific teams and players, indicating a strong connection to the sports community. His content is highly engaging, with a consistent level of interaction from followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 175,839
- + 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 @mattmoneysmith reveals an well-established Twitter presence with 175,839 followers. The account demonstrates a conversation-first approach, averaging 191.0 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.
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