Jared Smith

Jared Smith

@jaredleesmith

Betting Analyst @foxsportsradio @VSINlive @liveontheline @pikkitsports 💸🎙️ Penn St alum 🦁 Jackpot’s dad 🐕 Tips donated to local animal rescue shelters

Las Vegas, NV https://linktr.ee/jaredleesmith Joined 2009-08-21 Date of Analysis: Dec 16, 2025

22,108

Followers

1,417

Following

34,995

Tweets

342

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @jaredleesmith'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:2009-08-21
  • Verification:No
  • Location:Las Vegas, NV

Data Summary

  • Followers Analyzed:21,944

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Audience Demographics

Based on 21,944 followers

His audience likely includes sports fans, bettors, and individuals interested in sports betting strategies. The audience seems to be engaged with his content, though engagement metrics are not clearly reflected in the data provided.

Good

Audience Quality

15.8%

Suspicion Index

22.2%

Low-Quality %

128

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

39.0%

Empty Bio

9.0%

<10 Tweets

13.6%

Mass Following (>2K)

0.0%

New (<90 days)

28.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

85.8%

No URL

5.4%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

57,570,902

Total Potential Reach

128

Median Follower Reach

364

75th Percentile Reach

10.6%

>1K followers

2.5%

>10K followers

0.6%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

77.3%

Creators

16,959 accounts

13.7%

Consumers

3,011 accounts

9.0%

Dormant

1,974 accounts

663

Verified Followers

3.02% of total

8.5%

Professional Bios

founder, dev, analyst, etc.

0.2

Median Follow Ratio

follower/following

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):

Chicago, IL (311) United States (304) Las Vegas, NV (196) New York, NY (185) Philadelphia, PA (165) New Jersey, USA (118) New York, USA (113) Los Angeles, CA (111) Denver, CO (99) Nashville, TN (90)

663

Verified Followers

3.02% of total

2,830

Protected Accounts

12.9% of total

9 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
@hootsuite 7,235,202 Social Media Manager Social media, news, tips
@kayleighmcenany 3,435,627 Political Commentator Politics, News, Media
@charliekirk11 2,519,979 Political Commentator Conservative, Politics, Christianity
@thereallisaann 2,044,957 Sports Bettor Fantasy Sports, Sports Betting, Podcast
@6BillionPeople 2,007,039 - -
@SinghLions 1,319,083 Restaurateur Food, Travel, Influencer
@soledadobrien 1,299,817 Journalist working, mom, journalist
@MatthewBerryTMR 1,166,495 Fantasy Analyst Fantasy Football, Author, Avengers
@WorldWideWob 1,104,615 Sports Analyst NBA, Basketball, Fantasy Sports
@JoeyBats19 1,034,023 Baseball Player Baseball, Philanthropy, Sports

Top Keywords in Follower Bios

sports (2,603) betting (578) husband (489) football (475) alum (453) love (449) father (439) life (426) nfl (393) coach (357)

Top Hashtags in Follower Bios

#gamblingtwitter (151) #sportsbetting (63) #nfl (59) #1 (51) #nba (38) #girldad (36) #billsmafia (33) #bitcoin (33) #flyeaglesfly (32) #gopackgo (32)

13,374

Followers With Bio

8,570

Followers Without Bio

60.95%

% With Bio

39.05%

% 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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Key Insights & Takeaways

He has a strong network within the sports and betting industry, which likely contributes to his credibility and reach. His bio highlights his personal brand and community involvement, which can help build trust with his audience. He may be focusing on content that is more about providing value rather than driving engagement through likes or retweets.

Strengths

  • + Established follower base of 22,108
  • + 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 @jaredleesmith reveals an growing Twitter presence with 22,108 followers. The account demonstrates a content-creator strategy, averaging 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025