Comedian Ben Bailey 🚕 aka Cash Cab Guy

Comedian Ben Bailey 🚕 aka Cash Cab Guy

@RealBenBailey

Comedian Actor, Host of #CashCab. Watch "The Big New Show" Sunday nights at 9pmET https://www.patreon.com/benbaileycomedy https://www.youtube.com/benbaileycomedy ⬇️

Working From Home https://www.therealbenbailey.com/ Joined 2012-04-04 Date of Analysis: Dec 16, 2025

240,514

Followers

190,980

Following

4,640

Tweets

188.2

Avg Engagement

867

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @RealBenBailey'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: Macro Influencer (100K+)
  • Account Age:2012-04-04
  • Verification:No
  • Location:Working From Home

Data Summary

  • Tweets Analyzed:3,207
  • Avg Likes per Tweet:108.6
  • Avg Retweets per Tweet:79.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,207 tweets

His tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent with his role as a public figure in the entertainment industry.

108.6

Avg Likes/Tweet

79.7

Avg Retweets/Tweet

348,177

Total Likes

255,473

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

1

Median Retweets

47

75th Percentile

133,950

Top Tweet

0.78

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

32.2%

Original

47.1%

Replies

17.8%

Retweets

2.9%

Quotes

0.0%

Threads

0.3%

With Media

39.8%

With Links

23.4%

With #Tags

78.2%

With @Mentions

7.1%

With Emojis

96

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.46

Reply/Original Ratio

0.16

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

79.1%

Weekday Posts

20.9%

Weekend Posts

Top Hashtags

#cashcab (120) #comedy (63) #standup (45) #benbailey (30) #standupcomedy (27) #podcast (20) #tallbuttrue (20) #hthdth (18) #wtf (17) #nyc (16)

Most Mentioned

@realbenbailey (525) @cashcabusa (137) @theemmagleeson (71) @bravotv (64) @midnight (61) @nokidhungry (59) @feedingamerica (56) @hollywoodimprov (54) @discovery (53) @nyccomedycellar (48)

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Content Strategy Analysis

Based on 3,207 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,034 (32%)
Replies 1,510 (47%)
Retweets 570 (18%)
Quote Tweets 93 (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 570 retweets (18% 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 3,207 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 50,000 followers

His audience includes fans of his comedy and television shows, as well as followers interested in entertainment news. The audience is likely engaged and interested in his career updates.

Good

Audience Quality

15.6%

Suspicion Index

13.8%

Low-Quality %

160

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

22.7%

Empty Bio

8.5%

<10 Tweets

23.1%

Mass Following (>2K)

0.0%

New (<90 days)

26.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

75.1%

No URL

5.0%

<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.

132,341,251

Total Potential Reach

160

Median Follower Reach

617

75th Percentile Reach

18.0%

>1K followers

2.7%

>10K followers

0.7%

>50K followers

0.4%

>100K followers

Creator vs Consumer Split

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

79.7%

Creators

39,850 accounts

11.8%

Consumers

5,923 accounts

8.5%

Dormant

4,227 accounts

563

Verified Followers

1.13% of total

11.0%

Professional Bios

founder, dev, analyst, etc.

0.23

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):

United States (912) Los Angeles, CA (374) California, USA (301) San Diego, CA (296) USA (288) New York, NY (252) Atlanta, GA (250) Chicago, IL (239) Texas, USA (207) Florida, USA (205)

1,204

Verified Followers

1.19% of total

7,265

Protected Accounts

7.19% 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 14,101,326 Wrestler Wrestling, Motivation, Self-promotion
@PatMcAfeeShow 2,835,613 Sports commentator Sports, Betting, Entertainment
@Karabo_Mokgoko 2,349,206 Digital Entrepreneur Digital Entrepreneur, Trendsetter, Globetrotter
@iHeartRadio 2,024,116 Media Music, Stations, Podcasts
@toddcarey 1,685,411 Musician Music, Collaboration, Community
@JASMINEVILLEGAS 1,545,259 Singer Music, Dreaming, Life
@JETAR9 1,526,312 Inspirational Speaker Spirituality, Happiness, Clarity
@DonnieWahlberg 1,490,431 Entertainer Family, Boston, Entertainment
@MichelleDBeadle 1,363,539 Sports Commentator Sports, Entertainment, Pop Culture
@SebGorka 1,340,175 Political Commentator Politics, National Security, Media

Top Keywords in Follower Bios

love (5,948) life (3,858) music (3,683) lover (3,068) mom (2,722) sports (2,089) writer (2,058) proud (1,897) world (1,886) wife (1,727)

Top Hashtags in Follower Bios

#resist (1,223) #blm (771) #fbr (568) #maga (472) #blacklivesmatter (447) #theresistance (421) #resistance (402) #voteblue (308) #bluewave (227) #billsmafia (169)

80,263

Followers With Bio

20,729

Followers Without Bio

79.47%

% With Bio

20.53%

% 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 3,207 analyzed

237,830

Combined Engagement

61,911

Total Likes

175,919

Total Retweets

47,566

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Entertainment Comedy Television Promotion Audience Engagement

Key Insights & Takeaways

He frequently promotes his show and encourages retweets, indicating a focus on audience interaction and visibility. His tweets often include hashtags related to his show, suggesting a strategic approach to brand promotion. He uses Twitter as a platform to announce updates and maintain a connection with his fan base.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 240,514
  • + 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 @RealBenBailey reveals an well-established Twitter presence with 240,514 followers. The account demonstrates a conversation-first approach, averaging 188.2 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