JEREMY FALL

JEREMY FALL

@jeremyfall

MY NEW BOOK ‘FALLING UPWARDS’ IS OUT NOW

https://found.ee/fallingupwards Joined 2009-03-22 Date of Analysis: Dec 16, 2025

88,427

Followers

826

Following

15,682

Tweets

117.1

Avg Engagement

225

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @jeremyfall'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:2009-03-22
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,211
  • Avg Likes per Tweet:76.1
  • Avg Retweets per Tweet:41.0
  • Followers Analyzed:9,998
  • Following Analyzed:813

Engagement Analysis

Based on 3,211 tweets

His tweets consistently receive a high number of likes and retweets, suggesting strong audience interaction. The engagement is driven by exclusive offers and community-building initiatives.

76.1

Avg Likes/Tweet

41.0

Avg Retweets/Tweet

244,275

Total Likes

131,587

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

2

Median Retweets

63

75th Percentile

28,606

Top Tweet

1.32

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

26.1%

Original

52.1%

Replies

18.9%

Retweets

2.9%

Quotes

0.0%

Threads

5.7%

With Media

27.8%

With Links

7.5%

With #Tags

77.2%

With @Mentions

50.4%

With Emojis

77

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.0

Reply/Original Ratio

0.15

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

72.1%

Weekday Posts

27.9%

Weekend Posts

Top Hashtags

#ps143 (139) #probablynothing (22) #nft (15) #nftcommunity (7) #web3 (6) #1 (5) #nfts (5) #artbaselmiami (3) #2 (3) #makeyourmark (3)

Most Mentioned

@jeremyfall (462) @probablynothing (403) @photosynth (161) @probablyalabel (93) @tydollasign (65) @nftboi_ (63) @jf_nft (50) @kraytrain (43) @magiceden (35) @tobylasso (35)

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Content Strategy Analysis

Based on 3,211 tweets

Content Type Distribution

Content Breakdown

Original Tweets 838 (26%)
Replies 1,672 (52%)
Retweets 607 (19%)
Quote Tweets 94 (3%)

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 607 retweets (19% 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 3,211 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 9,998 followers

His followers are likely interested in digital collectibles, personal development, and content creation. The audience appears to be active and engaged, particularly with NFT-related content.

Good

Audience Quality

16.1%

Suspicion Index

9.3%

Low-Quality %

162

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

16.4%

Empty Bio

5.1%

<10 Tweets

26.3%

Mass Following (>2K)

0.0%

New (<90 days)

33.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

79.2%

No URL

2.2%

<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.

33,339,387

Total Potential Reach

162

Median Follower Reach

713

75th Percentile Reach

20.2%

>1K followers

3.6%

>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).

79.4%

Creators

7,942 accounts

15.5%

Consumers

1,548 accounts

5.1%

Dormant

508 accounts

928

Verified Followers

9.28% of total

17.8%

Professional Bios

founder, dev, analyst, etc.

0.18

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):

Metaverse (131) Los Angeles, CA (101) hongkong (96) Burnaby, British Columbia (95) United States (54) Web3 (49) Canada (38) Lagos, Nigeria (36) London, England (34) New York, NY (33)

929

Verified Followers

9.29% of total

149

Protected Accounts

1.49% of total

4 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
@CryptoWeb3_NFT 4,370,985 - -
@screamau 1,546,920 Singer singer, composer, NFTs
@BrianDEvans 1,194,744 Entrepreneur NFTs, Crypto, Digital Marketing
@LeBronJames 986,750 - -
@krassenstein 743,491 Journalist Investigative journalism, Fighting hate, Conspiracy theories
@igorlenterman 654,333 - -
@SlimJim 512,553 Snack Influencer meat, long boi, champions
@doodles 401,150 NFT Artist NFTs, community, collectibles
@davidasinclair 384,341 Scientist Aging research, longevity, author
@RadioShack 374,229 - -

Top Keywords in Follower Bios

nft (1,312) web (897) crypto (587) nfts (454) artist (340) art (340) enthusiast (333) collector (333) love (259) discord (235)

Top Hashtags in Follower Bios

#nft (212) #web3 (96) #eth (83) #zkapes (80) #bitcoin (75) #nfts (70) #crypto (68) #btc (64) #byebyebirdie (61) #spaceshost (31)

8,357

Followers With Bio

1,643

Followers Without Bio

83.57%

% With Bio

16.43%

% 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 3,211 analyzed

63,473

Combined Engagement

32,385

Total Likes

31,088

Total Retweets

12,695

Avg per Tweet

Key Metrics for Viral Tweets

20%

With Media

20%

With Hashtags

40%

With @Mentions

60%

With Links

Topical Analysis:

Nfts Community Engagement Personal Branding

Network & Following Analysis

Based on 813 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

51.0%

Verified Accounts

39.7%

High Authority (>50K)

100.0%

Dormant Accounts

3.6%

Low Quality

28,635

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

79.3%

Individuals

645 accounts

11.3%

Brands/Orgs

92 accounts

9.3%

Media/News

76 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,019,129 Entrepreneur Space, Technology, Innovation
@CNN CNN 61,635,244 News Outlet News, Breaking, Updates
@wizkhalifa Wiz Khalifa 36,300,115 Rapper Music, Taylor Gang, Lifestyle
@kanyewest ye 31,751,002 - -
@MTV MTV 17,494,659 Entertainment Music, Entertainment, Awards
@ParisHilton ParisHilton 16,628,320 Entrepreneur business, updates, media
@SHAQ SHAQ 15,819,064 Athlete Basketball, Quotes, Random Acts
@Diddy LOVE 15,050,098 Musician Music, Entrepreneurship, Fashion
@billboard billboard 14,244,836 Media music, charts, news
@JohnCena John Cena 14,156,197 Wrestler Wrestling, Motivation, Self-promotion

Key Insights & Takeaways

He leverages NFTs as a key engagement tool, offering exclusive rewards to his followers. His content is highly visual and interactive, encouraging participation and sharing. He maintains a consistent promotional strategy, focusing on both his book and NFT projects.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 88,427
  • + 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 @jeremyfall reveals an well-established Twitter presence with 88,427 followers. The account demonstrates a conversation-first approach, averaging 117.1 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