Barbara Corcoran

Barbara Corcoran

@BarbaraCorcoran

NYC Real Estate Queen, Shark Tank Shark 🦈 and Host of "Business Unusual" and "888-Barbara" Podcast

New York City https://www.youtube.com/watch?v=n4UZdOA05L8&feature=youtu.be Joined 2009-04-30 Date of Analysis: Dec 16, 2025

727,625

Followers

446

Following

19,744

Tweets

289.6

Avg Engagement

4,499

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @BarbaraCorcoran'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:2009-04-30
  • Verification:No
  • Location:New York City

Data Summary

  • Tweets Analyzed:3,247
  • Avg Likes per Tweet:242.6
  • Avg Retweets per Tweet:47.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,247 tweets

Her tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content is often relatable and thought-provoking, encouraging further engagement.

242.6

Avg Likes/Tweet

47.0

Avg Retweets/Tweet

787,685

Total Likes

152,605

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

57

Median Likes

9

Median Retweets

347

75th Percentile

9,442

Top Tweet

0.4

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

73.6%

Original

12.6%

Replies

9.1%

Retweets

4.7%

Quotes

0.0%

Threads

0.2%

With Media

24.6%

With Links

35.3%

With #Tags

52.8%

With @Mentions

7.9%

With Emojis

117

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.17

Reply/Original Ratio

0.52

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

64.7%

Weekday Posts

35.3%

Weekend Posts

Top Hashtags

#sharktank (842) #businessunusual (44) #motivationmonday (23) #wednesdaywisdom (22) #smallbusiness (17) #podcast (11) #mondaymotivation (10) #attinfluencer (9) #bookclubapp (7) #barbarabookclub (7)

Most Mentioned

@abcsharktank (743) @barbaracorcoran (192) @kevinolearytv (123) @mcuban (92) @thesharkdaymond (78) @attbusiness (65) @robertherjavec (54) @lorigreiner (47) @paycom (38) @cousinsmainelob (30)

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 3,247 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,390 (74%)
Replies 409 (13%)
Retweets 294 (9%)
Quote Tweets 154 (5%)

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 294 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 3,247 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

Her audience includes entrepreneurs, business professionals, and individuals interested in personal development and real estate. Many followers are inspired by her Shark Tank appearances and podcast.

Average

Audience Quality

24.5%

Suspicion Index

27.0%

Low-Quality %

31

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

37.0%

Empty Bio

26.1%

<10 Tweets

13.1%

Mass Following (>2K)

0.0%

New (<90 days)

53.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

78.8%

No URL

17.0%

<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.

Try Bot Detector

Follower Reach & Influence

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

58,048,123

Total Potential Reach

31

Median Follower Reach

152

75th Percentile Reach

6.0%

>1K followers

0.9%

>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).

50.2%

Creators

25,121 accounts

23.7%

Consumers

11,845 accounts

26.1%

Dormant

13,034 accounts

1,293

Verified Followers

2.59% of total

13.2%

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 (725) India (322) Los Angeles, CA (307) New York, NY (266) New York, USA (248) California, USA (217) Florida, USA (186) USA (177) Chicago, IL (177) London, England (166)

2,131

Verified Followers

2.13% of total

11,534

Protected Accounts

11.53% of total

6 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
@ParisHilton 16,832,668 Entrepreneur business, updates, media
@JohnCena 14,105,183 Wrestler Wrestling, Motivation, Self-promotion
@DashieXP 5,185,162 Gamer gaming, humor, yelling
@DrOz 3,871,077 Cardiologist Health, Wellness, Nutrition
@JoshRichards 2,021,066 Entrepreneur Animal Capital, Ani Energy, Crosscheckstud
@stevesmith49 1,960,315 Cricketer Cricket, Tennis, Investing
@lmgriffjohnson 1,725,270 Influencer TikTok, Entrepreneur, Music
@Bethenny 1,566,941 Entrepreneur Entrepreneurship, Media, Philanthropy
@GuyKawasaki 1,387,500 Chief Evangelist podcasting, design, entrepreneurship
@BryceHall 1,367,830 Influencer videos, email, business

Top Keywords in Follower Bios

life (3,101) love (2,958) business (2,816) entrepreneur (2,269) real (2,195) estate (1,862) lover (1,463) crypto (1,440) marketing (1,411) world (1,378)

Top Hashtags in Follower Bios

#bitcoin (494) #crypto (199) #nft (191) #btc (177) #1 (142) #entrepreneur (119) #realestate (92) #blm (92) #eth (89) #blockchain (89)

62,650

Followers With Bio

37,350

Followers Without Bio

62.65%

% With Bio

37.35%

% 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 3,247 analyzed

27,078

Combined Engagement

16,193

Total Likes

10,885

Total Retweets

5,416

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

40%

With @Mentions

60%

With Links

Topical Analysis:

Entrepreneurship Personal Development Motivation Real Estate Networking Self-Improvement

Key Insights & Takeaways

She emphasizes self-approval and personal growth over self-criticism. She highlights the importance of surrounding oneself with ambitious and hardworking individuals. She maintains a long-standing career, showing dedication and resilience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 727,625
  • + 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 @BarbaraCorcoran reveals an well-established Twitter presence with 727,625 followers. The account demonstrates a content-creator strategy, averaging 289.6 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