Max Abelson

Max Abelson

@maxabelson

Reporting on Wall Street's money and power for @Business and @BW

New York City https://abelson.work/ Joined 2009-07-28 Date of Analysis: 12月 16, 2025

19,117

Followers

7,319

Following

16,867

Tweets

188.7

Avg Engagement

554

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @maxabelson'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:2009-07-28
  • Verification:No
  • Location:New York City

Data Summary

  • Tweets Analyzed:500
  • Avg Likes per Tweet:12.3
  • Avg Retweets per Tweet:176.4
  • Followers Analyzed:18,867

Engagement Analysis

Based on 500 tweets

His tweets receive moderate engagement, with an average of 315 likes and 110 retweets, indicating a consistent but not explosive level of interaction. The verified status may contribute to trust and engagement.

12.3

Avg Likes/Tweet

176.4

Avg Retweets/Tweet

6,150

Total Likes

88,199

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

11

75th Percentile

48,726

Top Tweet

9.87

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

23.8%

Original

63.2%

Replies

8.8%

Retweets

4.2%

Quotes

0.0%

Threads

1.2%

With Media

36.8%

With Links

0.2%

With #Tags

81.4%

With @Mentions

1.4%

With Emojis

103

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.66

Reply/Original Ratio

0.48

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

92.6%

Weekday Posts

7.4%

Weekend Posts

Top Hashtags

#metoo (1)

Most Mentioned

@bw (21) @andrewmarzoni (19) @business (13) @lizabatkin (10) @nplusonemag (8) @zekefaux (8) @silviakillings (7) @sridinats (7) @lisa_borst (6) @nybooks (6)

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Content Strategy Analysis

Based on 500 tweets

Content Type Distribution

Content Breakdown

Original Tweets 119 (24%)
Replies 316 (63%)
Retweets 44 (9%)
Quote Tweets 21 (4%)

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 44 retweets (9% 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 500 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 18,867 followers

His audience likely includes finance professionals, investors, and journalism enthusiasts interested in ethical reporting and financial news. The mix of professional and personal content suggests a diverse and engaged following.

Average

Audience Quality

21.6%

Suspicion Index

16.2%

Low-Quality %

339

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

24.2%

Empty Bio

12.5%

<10 Tweets

38.2%

Mass Following (>2K)

0.0%

New (<90 days)

31.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

61.4%

No URL

8.1%

<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.

196,112,656

Total Potential Reach

339

Median Follower Reach

1,878

75th Percentile Reach

33.1%

>1K followers

9.2%

>10K followers

2.6%

>50K followers

1.4%

>100K followers

Creator vs Consumer Split

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

75.4%

Creators

14,217 accounts

12.1%

Consumers

2,290 accounts

12.5%

Dormant

2,360 accounts

3,001

Verified Followers

15.91% of total

27.2%

Professional Bios

founder, dev, analyst, etc.

0.24

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):

New York, NY (890) New York (489) Washington, DC (422) Brooklyn, NY (339) NYC (263) New York City (259) London (232) United States (214) Los Angeles, CA (208) London, England (188)

3,001

Verified Followers

15.91% of total

2,195

Protected Accounts

11.63% of total

11 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
@BernieSanders 15,488,042 Politician Politics, Vermont, Socialism
@JohnCena 14,105,673 Wrestler Wrestling, Motivation, Self-promotion
@business 9,214,616 News Outlet News, Business, First
@IvanDuque 2,552,396 Politician Legalidad, Emprendimiento, Equidad
@nybooks 2,289,495 Literary Critic Literature, Intellectual, Magazine
@BW 2,205,802 Journalist Business, World News, Subscription
@jimcramer 2,043,516 TV Host Stocks, Investing, CNBC
@michellemalkin 2,039,307 Commentator Conservative, Author, Commentator
@6BillionPeople 2,038,026 - -
@maggieNYT 1,658,032 Journalist Politics, Journalism, Analysis

Top Keywords in Follower Bios

editor (1,009) reporter (836) news (778) views (641) opinions (605) writer (562) former (547) financial (522) bloomberg (521) author (470)

Top Hashtags in Follower Bios

#resist (48) #blm (45) #fintech (35) #1 (33) #bitcoin (31) #crypto (22) #blacklivesmatter (22) #tech (20) #ai (19) #esg (18)

14,291

Followers With Bio

4,576

Followers Without Bio

75.75%

% With Bio

24.25%

% 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 500 analyzed

86,443

Combined Engagement

1,911

Total Likes

84,532

Total Retweets

17,289

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Finance Journalism Ethics Historical References Media Criticism Personal Reflection

Key Insights & Takeaways

He blends investigative journalism with personal commentary on media ethics and historical references. His content often explores the intersection of finance, power, and personal morality. He engages with both professional and personal themes, reflecting a nuanced approach to storytelling.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 19,117
  • + 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 @maxabelson reveals an well-established Twitter presence with 19,117 followers. The account demonstrates a conversation-first approach, averaging 188.7 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: 12月 16, 2025