Jeff Elder

Jeff Elder

@JeffElder

Screenwriter, #SFGiants fan, cat lover. Former Knight fellow at Stanford, investigative reporter at WSJ. Briefly the world’s worst bouncer.

San Francisco, CA https://www.linkedin.com/in/jeffcelder/ Joined 2008-04-22 Date of Analysis: Dec 16, 2025

83,445

Followers

14,094

Following

26,958

Tweets

466.9

Avg Engagement

1,116

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JeffElder'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:2008-04-22
  • Verification:No
  • Location:San Francisco, CA

Data Summary

  • Tweets Analyzed:3,199
  • Avg Likes per Tweet:9.6
  • Avg Retweets per Tweet:457.2
  • Followers Analyzed:9,990

Engagement Analysis

Based on 3,199 tweets

Jeff Elder's tweets receive a steady level of engagement, with an average of 981 likes and 316 retweets per tweet, indicating a consistent but not overwhelming level of interaction.

9.6

Avg Likes/Tweet

457.2

Avg Retweets/Tweet

30,864

Total Likes

1,462,649

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

1

Median Retweets

13

75th Percentile

599,094

Top Tweet

5.59

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

52.3%

Original

17.3%

Replies

28.7%

Retweets

1.7%

Quotes

0.0%

Threads

0.8%

With Media

67.9%

With Links

25.4%

With #Tags

57.5%

With @Mentions

1.8%

With Emojis

150

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.33

Reply/Original Ratio

0.06

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

71.1%

Weekday Posts

28.9%

Weekend Posts

Top Hashtags

#cybersecurity (238) #sf (168) #ai (71) #caturday (60) #sfgiants (40) #solarwinds (29) #crypto (11) #ukraine (10) #covid19 (10) #snl (9)

Most Mentioned

@jeffelder (439) @sfexaminer (235) @businessinsider (200) @bitech (29) @sfgiants (27) @c_c_krebs (26) @sydneyfjohnson (22) @sentinelone (19) @databricks (19) @msftsecurity (19)

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Content Strategy Analysis

Based on 3,199 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,672 (52%)
Replies 555 (17%)
Retweets 919 (29%)
Quote Tweets 53 (2%)

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 919 retweets (29% 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 3,199 tweets

Engagement 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 9,990 followers

His audience likely includes fellow writers, journalists, and fans of popular culture, as well as those interested in political and social commentary.

Good

Audience Quality

19.0%

Suspicion Index

13.1%

Low-Quality %

349

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

19.1%

Empty Bio

11.5%

<10 Tweets

36.7%

Mass Following (>2K)

0.0%

New (<90 days)

24.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

54.4%

No URL

7.1%

<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.

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Follower Reach & Influence

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

126,201,218

Total Potential Reach

349

Median Follower Reach

1,544

75th Percentile Reach

31.5%

>1K followers

9.1%

>10K followers

3.1%

>50K followers

1.8%

>100K followers

Creator vs Consumer Split

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

74.8%

Creators

7,477 accounts

13.7%

Consumers

1,369 accounts

11.5%

Dormant

1,144 accounts

385

Verified Followers

3.85% of total

22.5%

Professional Bios

founder, dev, analyst, etc.

0.28

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):

San Francisco, CA (362) United States (167) New York, NY (162) San Francisco (134) Los Angeles, CA (113) Washington, DC (99) Boston, MA (79) California, USA (76) London, England (74) New York, USA (63)

388

Verified Followers

3.88% of total

779

Protected Accounts

7.79% 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
@JohnCena 14,097,865 Wrestler Wrestling, Motivation, Self-promotion
@BusinessInsider 3,987,858 News outlet business, news, media
@Pornhub 3,717,143 Adult Entertainment porn, videos, models
@UNESCO 3,686,067 Organization Education, Sciences, Culture
@ruhutsitompul 2,379,435 Politician Youtube, Instagram, Facebook
@UN_Women 2,263,351 Advocacy gender equality, women's empowerment, #GenerationEquality
@britishmuseum 2,064,233 Museum History, Art, Culture
@amyklobuchar 2,044,868 Politician Politics, Minnesota, Legislation
@6BillionPeople 2,024,148 - -
@tedlieu 1,658,587 Politician Family, USAF, Congress

Top Keywords in Follower Bios

tech (466) marketing (373) pr (361) media (314) business (272) digital (271) love (254) security (238) news (237) technology (226)

Top Hashtags in Follower Bios

#ai (76) #cybersecurity (74) #marketing (47) #tech (42) #socialmedia (37) #iot (31) #technology (27) #infosec (26) #pr (24) #bitcoin (23)

8,093

Followers With Bio

1,907

Followers Without Bio

80.93%

% With Bio

19.07%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,199 analyzed

954,032

Combined Engagement

0

Total Likes

954,032

Total Retweets

190,806

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Screenwriting Journalism Pop Culture Politics Personal Storytelling Animal Love

Key Insights & Takeaways

He blends personal stories with broader social commentary, often referencing pop culture and current events. His verified status suggests a level of credibility and authenticity in his content. He uses multimedia, such as videos of baby otters, to engage his audience in a more personal and relatable way.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 83,445
  • + 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 @JeffElder reveals an well-established Twitter presence with 83,445 followers. The account demonstrates a content-creator strategy, averaging 466.9 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