Kimberlé Crenshaw

Kimberlé Crenshaw

@sandylocks

Professor @ColumbiaLaw and @UCLA_law; Executive Director @AAPolicyForum; Host @IMKC_podcast; Views expressed here are my own!

NY, LA, SF & Canton, OH Joined 2009-05-29 Date of Analysis: Dec 16, 2025

188,655

Followers

1,334

Following

4,080

Tweets

963.0

Avg Engagement

1,196

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sandylocks'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:2009-05-29
  • Verification:No
  • Location:NY, LA, SF & Canton, OH

Data Summary

  • Tweets Analyzed:3,239
  • Avg Likes per Tweet:314.5
  • Avg Retweets per Tweet:648.5
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,239 tweets

Her tweets receive high engagement, with an average of 25,012 likes and 5,474 retweets per post. This indicates a strong and active community interested in her perspectives.

314.5

Avg Likes/Tweet

648.5

Avg Retweets/Tweet

1,018,649

Total Likes

2,100,561

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

12

Median Likes

23

Median Retweets

257

75th Percentile

131,887

Top Tweet

5.1

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

19.3%

Original

10.7%

Replies

45.2%

Retweets

24.8%

Quotes

0.0%

Threads

0.1%

With Media

50.5%

With Links

22.9%

With #Tags

62.5%

With @Mentions

1.7%

With Emojis

164

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.55

Reply/Original Ratio

0.55

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

82.2%

Weekday Posts

17.8%

Weekend Posts

Top Hashtags

#sayhername (256) #undertheblacklight (94) #breonnataylor (41) #reconstructionpbs (30) #herdreamdeferred (28) #truthbetold (20) #michellecusseaux (20) #crtss22 (14) #booksunbanned (11) #indiakager (10)

Most Mentioned

@aapolicyforum (516) @imkc_podcast (397) @sandylocks (242) @barbs73 (65) @newrepublic (31) @repbarbaralee (29) @kwestsavali (26) @aliciagarza (21) @viet_t_nguyen (20) @sifill_ldf (19)

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 3,239 tweets

Content Type Distribution

Content Breakdown

Original Tweets 626 (19%)
Replies 346 (11%)
Retweets 1,464 (45%)
Quote Tweets 803 (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 1,464 retweets (45% 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 3,239 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 law students, legal professionals, and activists interested in social justice issues. They are likely engaged in discussions around race, gender, and policy reform.

Good

Audience Quality

15.9%

Suspicion Index

14.6%

Low-Quality %

154

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

21.7%

Empty Bio

11.7%

<10 Tweets

18.7%

Mass Following (>2K)

0.0%

New (<90 days)

29.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

72.8%

No URL

7.5%

<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.

154,526,290

Total Potential Reach

154

Median Follower Reach

542

75th Percentile Reach

15.5%

>1K followers

2.0%

>10K followers

0.5%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

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

74.4%

Creators

37,206 accounts

13.9%

Consumers

6,952 accounts

11.7%

Dormant

5,842 accounts

333

Verified Followers

0.67% of total

21.3%

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):

Washington, DC (599) United States (529) Los Angeles, CA (494) New York, NY (490) Chicago, IL (421) Brooklyn, NY (346) London, England (320) Boston, MA (268) London (233) Seattle, WA (233)

545

Verified Followers

0.54% of total

16,689

Protected Accounts

16.52% 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
@HillaryClinton 31,472,800 Politician -
@JohnCena 14,100,209 Wrestler Wrestling, Motivation, Self-promotion
@AOC 13,421,403 Politician politics, social justice, equality
@TheDailyShow 9,437,499 Comedy Show Comedy, News, Activism
@jordanbpeterson 4,139,477 Psychologist Education, Psychology, Podcasts
@Lin_Manuel 3,472,730 Composer Music, Theater, Activism
@amanpour 3,197,281 Journalist Global affairs, journalism, news
@BetoORourke 2,513,989 Politician politics, activism, community
@Kaepernick7 2,357,566 Athlete Social justice, activism, football
@earlxsweat 2,192,498 Rapper music, art, fashion

Top Keywords in Follower Bios

sheher (10,637) phd (5,339) student (4,153) views (4,146) social (3,838) health (3,241) justice (3,206) writer (2,997) black (2,723) professor (2,642)

Top Hashtags in Follower Bios

#blacklivesmatter (851) #blm (776) #resist (216) #firstgen (164) #actuallyautistic (108) #freepalestine (105) #landback (95) #healthequity (84) #socialjustice (80) #mentalhealth (79)

80,094

Followers With Bio

20,905

Followers Without Bio

79.3%

% With Bio

20.7%

% 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 3,239 analyzed

444,954

Combined Engagement

0

Total Likes

444,954

Total Retweets

88,991

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

0%

With Links

Topical Analysis:

Intersectionality Racial Justice Social Policy Activism Legal Scholarship

Key Insights & Takeaways

Intersectionality is not additive. It’s fundamentally reconstitutive. Pass it on. I voted for @ewarren today b/c she listens to Black women, understands that “Economic justice has not ever been sufficient to ensure racial justice,” A sick racist is still a racist. Keep the pedal to the metal. He's gotta go.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 188,655
  • + 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 @sandylocks reveals an well-established Twitter presence with 188,655 followers. The account demonstrates a content-creator strategy, averaging 963.0 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