Jamey Edwards

Jamey Edwards

@jameyedwards

#Father #Husband #Founder | EIR @StartUpHealth | #DigitalHealth | #HealthEquity | #StartUps | #TelemedNow | #pinksocks | #LongLA | @American_Heart | @Cornell

Santa Monica, CA https://www.linkedin.com/in/jameyedwards Joined 2007-05-01 Date of Analysis: Dec 16, 2025

18,225

Followers

2,475

Following

18,811

Tweets

832

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @jameyedwards'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:2007-05-01
  • Verification:No
  • Location:Santa Monica, CA

Data Summary

  • Followers Analyzed:18,429

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Audience Demographics

Based on 18,429 followers

His audience likely includes professionals in healthcare, startups, and digital health enthusiasts. They may be interested in health equity, telemedicine, and innovation in the health sector.

Good

Audience Quality

18.5%

Suspicion Index

11.5%

Low-Quality %

613

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

9.0%

Empty Bio

16.0%

<10 Tweets

39.2%

Mass Following (>2K)

0.0%

New (<90 days)

19.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

44.9%

No URL

14.0%

<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.

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Follower Reach & Influence

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

66,424,564

Total Potential Reach

613

Median Follower Reach

1,801

75th Percentile Reach

38.7%

>1K followers

5.5%

>10K followers

1.0%

>50K followers

0.5%

>100K followers

Creator vs Consumer Split

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

76.3%

Creators

14,070 accounts

7.6%

Consumers

1,409 accounts

16.0%

Dormant

2,950 accounts

624

Verified Followers

3.39% of total

25.4%

Professional Bios

founder, dev, analyst, etc.

0.43

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):

Los Angeles, CA (354) United States (321) Chicago, IL (294) San Diego, CA (226) Dallas, TX (208) Houston, TX (207) Philadelphia, PA (203) New York, NY (199) Phoenix, AZ (192) Boston, MA (190)

624

Verified Followers

3.39% of total

625

Protected Accounts

3.39% 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
@SinghLions 1,318,870 Restaurateur Food, Travel, Influencer
@soledadobrien 1,299,578 Journalist working, mom, journalist
@JackPhan 1,097,641 Entrepreneur Visionary, Startup Entrepreneur, AdobeInsider
@rogerhamilton 916,129 Entrepreneur education, entrepreneurship, futurism
@Cisco 740,245 Technology technology, innovation, events
@TayeDiggs 636,123 Actor acting, chocolate, hosting
@BruceVH 591,403 Life Coach Podcast, Speaker, Optimist
@VigilanteArtist 565,351 Digital Artist Pop Art, Digital Art, iArt Movement
@DennisKoutoudis 526,884 - -
@WarrenWhitlock 472,999 Entrepreneur blockchain, AI, digitalmarketing

Top Keywords in Follower Bios

health (2,836) healthcare (2,325) digital (1,032) technology (720) medical (697) business (691) marketing (680) tech (655) innovation (650) views (611)

Top Hashtags in Follower Bios

#healthcare (466) #digitalhealth (403) #ai (353) #innovation (205) #healthit (174) #iot (161) #pinksocks (152) #health (150) #tech (146) #healthtech (144)

16,762

Followers With Bio

1,667

Followers Without Bio

90.95%

% With Bio

9.05%

% 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

Low engagement despite a large following indicates a possible disconnect between content and audience interest. His profile highlights a focus on health equity and digital health, suggesting a niche audience interested in these areas. The presence of multiple hashtags and affiliations with organizations like StartUpHealth and American Heart may help in niche visibility.

Strengths

  • + Established follower base of 18,225
  • + 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 @jameyedwards reveals an growing Twitter presence with 18,225 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