Bob Proctor

Bob Proctor

@bobproctorLIVE

Official Bob Proctor Twitter | Expert in Law of Attraction, Human Potential and Mindset | Best Selling Author | Professional Speaker and Coach | #BobProctor

https://linktr.ee/proctorgallagher Joined 2009-03-02 Date of Analysis: Dec 16, 2025

340,392

Followers

227

Following

12,651

Tweets

261.6

Avg Engagement

1,880

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @bobproctorLIVE'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:2009-03-02
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,227
  • Avg Likes per Tweet:214.0
  • Avg Retweets per Tweet:47.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,227 tweets

Proctor's tweets consistently receive high engagement, indicating a strong connection with his audience. His content often includes personal reflections and gratitude, which resonate well with followers.

214.0

Avg Likes/Tweet

47.6

Avg Retweets/Tweet

690,634

Total Likes

153,504

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

37

Median Likes

12

Median Retweets

477

75th Percentile

4,454

Top Tweet

0.77

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

79.5%

Original

9.9%

Replies

9.9%

Retweets

0.7%

Quotes

0.0%

Threads

0.0%

With Media

50.0%

With Links

72.1%

With #Tags

30.2%

With @Mentions

11.5%

With Emojis

125

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.12

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

80.0%

Weekday Posts

20.0%

Weekend Posts

Top Hashtags

#bobproctor (2209) #paradigmshift (295) #goals (40) #lawofattraction (39) #artofgoals (35) #affirmation (33) #success (30) #monday (30) #love (25) #mindset (24)

Most Mentioned

@bloglovin (307) @bobproctorlive (138) @sandylgallagher (131) @nina_elverum (29) @marymorrissey (20) @lewishowes (17) @peggymccoll (16) @bbinesroque (10) @proctorgallagher (10) @thesecret (9)

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 3,227 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,567 (80%)
Replies 318 (10%)
Retweets 318 (10%)
Quote Tweets 24 (1%)

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 318 retweets (10% 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 3,227 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 individuals interested in personal growth, mindset development, and self-improvement. Many followers are likely seeking motivation and practical advice for achieving their goals.

Average

Audience Quality

24.6%

Suspicion Index

29.6%

Low-Quality %

22

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

39.4%

Empty Bio

30.3%

<10 Tweets

10.5%

Mass Following (>2K)

0.0%

New (<90 days)

50.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

82.1%

No URL

19.7%

<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.

28,335,781

Total Potential Reach

22

Median Follower Reach

117

75th Percentile Reach

5.2%

>1K followers

0.6%

>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).

44.4%

Creators

22,181 accounts

25.3%

Consumers

12,663 accounts

30.3%

Dormant

15,156 accounts

934

Verified Followers

1.87% of total

11.4%

Professional Bios

founder, dev, analyst, etc.

0.1

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 (483) India (311) Lagos, Nigeria (271) Nigeria (236) London, England (203) Nairobi, Kenya (184) Los Angeles, CA (181) California, USA (136) USA (134) South Africa (132)

1,383

Verified Followers

1.37% of total

9,856

Protected Accounts

9.76% of total

5 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
@harish2you 1,663,718 Filmmaker Filmmaking, Directing, Writing
@connieansaldi 1,620,808 Consultant Speaker, Consultora, Transformación organizacional
@StartupPro 981,743 Entrepreneurship Entrepreneurship, Technology, Investing
@ZachBoychuk 829,495 Hockey Player Hockey, Meme/NFT Trading, Ethereum
@iownjd 778,300 Lawyer learn, inspire, engage
@TanyaTate 753,723 Entertainer Modeling, Acting, Directing
@unkonfined 658,547 Influencer -
@localscale 611,936 Platform Developer impact, acceleration, initiatives
@VigilanteArtist 575,295 Digital Artist Pop Art, Digital Art, iArt Movement
@IamMzilikazi 546,666 Musician Pan-African music, Album, Rise

Top Keywords in Follower Bios

life (4,437) love (3,351) business (2,318) entrepreneur (2,135) coach (1,882) god (1,470) world (1,347) lover (1,302) marketing (1,251) live (1,126)

Top Hashtags in Follower Bios

#bitcoin (308) #crypto (185) #btc (120) #nft (120) #entrepreneur (112) #1 (60) #eth (60) #web3 (55) #business (52) #author (52)

64,137

Followers With Bio

36,862

Followers Without Bio

63.5%

% With Bio

36.5%

% 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 3,227 analyzed

18,114

Combined Engagement

14,744

Total Likes

3,370

Total Retweets

3,623

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

0%

With @Mentions

40%

With Links

Topical Analysis:

Law Of Attraction Personal Development Mindset Gratitude Motivation Self-Improvement Coaching Author Speaker

Key Insights & Takeaways

His tweets often emphasize the importance of mindset and visualization in achieving success. He shares personal milestones and reflections, which build a sense of authenticity and connection. He frequently uses hashtags and links to his books and coaching services, driving traffic to his other platforms.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 340,392
  • + 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 @bobproctorLIVE reveals an well-established Twitter presence with 340,392 followers. The account demonstrates a content-creator strategy, averaging 261.6 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