Benjamin Higgins

Benjamin Higgins

@benhiggi

sweetly broken, wholly surrendered | Co-Founder ➡️ https://generouscoffee.com/ | Author, Podcast Host, Speaker ➡️ https://t.co/KuWEyWszk2

Denver, CO Joined 2009-07-15 Date of Analysis: Dec 16, 2025

353,626

Followers

745

Following

3,870

Tweets

1,267.0

Avg Engagement

571

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @benhiggi'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:2009-07-15
  • Verification:No
  • Location:Denver, CO

Data Summary

  • Tweets Analyzed:3,207
  • Avg Likes per Tweet:339.2
  • Avg Retweets per Tweet:927.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,207 tweets

Ben Higgi's tweets typically receive high engagement, with an average of 12k likes and 1.4k retweets per tweet. His content is well-received and often goes viral, especially when it involves controversial or dramatic topics.

339.2

Avg Likes/Tweet

927.8

Avg Retweets/Tweet

1,087,768

Total Likes

2,975,506

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

17

Median Likes

6

Median Retweets

361

75th Percentile

520,762

Top Tweet

3.58

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

29.4%

Original

4.3%

Replies

41.1%

Retweets

25.2%

Quotes

0.0%

Threads

0.3%

With Media

56.5%

With Links

31.9%

With #Tags

68.7%

With @Mentions

6.6%

With Emojis

124

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.15

Reply/Original Ratio

0.61

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

79.4%

Weekday Posts

20.6%

Weekend Posts

Top Hashtags

#thebachelor (171) #thebachelorette (51) #bachelornation (46) #benandlauren (45) #hopestillwins (36) #almostfamouspodcast (33) #bachelor (22) #flythew (20) #aloneinplainsight (18) #joemillionaire (14)

Most Mentioned

@benhiggi (466) @humanityandhope (84) @ashleyiaco (82) @laurenbushnell3 (72) @bachelorabc (71) @cubs (58) @viallnicholas28 (56) @bobgoff (42) @wellsadams (36) @hiltongrandvac (29)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,207 tweets

Content Type Distribution

Content Breakdown

Original Tweets 943 (29%)
Replies 137 (4%)
Retweets 1,318 (41%)
Quote Tweets 809 (25%)

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 1,318 retweets (41% 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 primarily consists of reality TV enthusiasts, particularly fans of The Bachelor, and individuals interested in candid and unfiltered commentary. The audience is engaged and often reacts strongly to his content.

Average

Audience Quality

25.1%

Suspicion Index

36.0%

Low-Quality %

21

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

50.1%

Empty Bio

31.9%

<10 Tweets

5.0%

Mass Following (>2K)

0.0%

New (<90 days)

51.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.5%

No URL

21.8%

<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.

Try Bot Detector

Follower Reach & Influence

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

51,775,017

Total Potential Reach

21

Median Follower Reach

112

75th Percentile Reach

2.5%

>1K followers

0.5%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

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

46.1%

Creators

23,067 accounts

22.0%

Consumers

10,988 accounts

31.9%

Dormant

15,945 accounts

305

Verified Followers

0.61% of total

3.4%

Professional Bios

founder, dev, analyst, etc.

0.09

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 (556) Chicago, IL (236) California, USA (214) Los Angeles, CA (197) Florida, USA (189) Texas, USA (182) Nashville, TN (163) New York, NY (142) Canada (142) Dallas, TX (138)

563

Verified Followers

0.56% of total

19,097

Protected Accounts

19.1% of total

8 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 14,103,670 Wrestler Wrestling, Motivation, Self-promotion
@enews 11,898,093 Entertainment News Entertainment, Celebrities, Pop culture
@MCHammer 3,182,901 Filmmaker #Dubnation, #RaiderNation, #FilmMaker
@dodo 2,730,505 Animal Advocate animals, compassion, rescue
@Cubs 2,607,252 Sports Team Baseball, Chicago, Sports
@iHeartRadio 2,024,531 Media Music, Stations, Podcasts
@zlj517 1,991,166 Spokesman Geopolitics, Diplomacy, Communication
@KameronBennett 1,812,722 DJ Music, DJing, Booking
@KeyJayandMax 1,409,051 - -
@Sarah_Hyland 1,402,332 Actress Acting, Fashion, Fitness

Top Keywords in Follower Bios

love (4,847) mom (3,977) life (3,656) wife (3,060) lover (2,315) music (1,472) teacher (1,417) girl (1,306) family (1,303) live (1,233)

Top Hashtags in Follower Bios

#thebachelor (107) #1 (92) #blm (85) #bachelornation (83) #blacklivesmatter (69) #maga (64) #thebachelorette (54) #resist (46) #billsmafia (33) #bachelorinparadise (27)

50,172

Followers With Bio

49,828

Followers Without Bio

50.17%

% With Bio

49.83%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,207 analyzed

1,289,862

Combined Engagement

0

Total Likes

1,289,862

Total Retweets

257,972

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

0%

With Links

Topical Analysis:

Reality Tv Personal Experience Public Reaction Controversy Community Engagement Media Influence

Key Insights & Takeaways

His content often revolves around personal experiences and public reactions, which drives engagement. He frequently interacts with fans and other influencers, which helps maintain a strong community presence. His use of hashtags and links to his podcast and author work helps diversify his online presence.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 353,626
  • + 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 @benhiggi reveals an exceptionally influential Twitter presence with 353,626 followers. The account demonstrates a content-creator strategy, averaging 1,267.0 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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