Teri Kanefield

Teri Kanefield

@Teri_Kanefield

Former appellate defender. UC Berkeley Law graduate. Book prizes include the Jane Addams Book Award. Find me at : @[email protected]

Beautiful Central California Coast https://terikanefield.com/ Joined 2011-12-06 Date of Analysis: Dec 16, 2025

197,355

Followers

417

Following

46,398

Tweets

452.6

Avg Engagement

2,277

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Teri_Kanefield'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:2011-12-06
  • Verification:No
  • Location:Beautiful Central California Coast

Data Summary

  • Tweets Analyzed:3,245
  • Avg Likes per Tweet:172.9
  • Avg Retweets per Tweet:279.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,245 tweets

Her tweets typically receive a high number of likes and retweets, indicating a strong level of audience interaction. The engagement suggests her content is both informative and thought-provoking for her followers.

172.9

Avg Likes/Tweet

279.7

Avg Retweets/Tweet

561,106

Total Likes

907,597

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

25

Median Likes

11

Median Retweets

337

75th Percentile

67,387

Top Tweet

2.29

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

10.5%

Original

70.0%

Replies

11.8%

Retweets

7.6%

Quotes

0.0%

Threads

0.2%

With Media

35.3%

With Links

1.0%

With #Tags

59.7%

With @Mentions

3.9%

With Emojis

182

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

6.64

Reply/Original Ratio

0.65

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

75.3%

Weekday Posts

24.7%

Weekend Posts

Top Hashtags

#2 (14) #1 (12) #mastodon (2) #nvsen (2) #volunteerfordemocrats (2) #scotus (2) #funreadinglegaldocuments (1) #meta (1) #youtube (1) #twitter (1)

Most Mentioned

@teri_kanefield (128) @law (58) @nastyoldwomyn (49) @delavegalaw (28) @emptywheel (25) @emmaselliott1 (22) @sonyabaker2 (22) @dcpetterson (20) @kyledcheney (19) @cbouzy (16)

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 3,245 tweets

Content Type Distribution

Content Breakdown

Original Tweets 342 (11%)
Replies 2,272 (70%)
Retweets 383 (12%)
Quote Tweets 248 (8%)

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 383 retweets (12% 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 3,245 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 legal professionals, political analysts, and individuals interested in current legal battles. The content is likely to attract those with a keen interest in constitutional law and political accountability.

Average

Audience Quality

21.9%

Suspicion Index

21.3%

Low-Quality %

123

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

34.7%

Empty Bio

12.8%

<10 Tweets

27.4%

Mass Following (>2K)

0.0%

New (<90 days)

40.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.9%

No URL

8.0%

<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.

99,185,975

Total Potential Reach

123

Median Follower Reach

569

75th Percentile Reach

17.8%

>1K followers

1.9%

>10K followers

0.3%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

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

74.7%

Creators

37,365 accounts

12.5%

Consumers

6,233 accounts

12.8%

Dormant

6,402 accounts

323

Verified Followers

0.65% of total

9.6%

Professional Bios

founder, dev, analyst, etc.

0.15

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 (906) California, USA (458) Los Angeles, CA (329) USA (328) Washington, DC (245) Chicago, IL (244) Florida, USA (244) Texas, USA (204) New York, NY (195) Seattle, WA (187)

580

Verified Followers

0.57% of total

10,855

Protected Accounts

10.75% 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 14,100,201 Wrestler Wrestling, Motivation, Self-promotion
@GeorgeTakei 3,437,918 Actor Star Trek, Internet, Resistance
@benlandis 2,847,694 - -
@ProjectLincoln 2,744,647 Political Strategist Politics, Activism, Leadership
@gtconway3d 2,199,573 Lawyer Lawyer, Columnist, Corgi
@levarburton 2,185,925 Actor Kunta, Geordi, Reading Rainbow
@sarahcpr 2,112,066 Comedian comedy, author, speaker
@kathygriffin 2,023,179 Comedian Comedy, Awards, Author
@octavianasr 1,616,943 Journalist yoga, journalism, cyberbullying
@TheRickWilson 1,600,263 Political Consultant Politics, Advertising, Writing

Top Keywords in Follower Bios

mom (4,381) love (4,128) lover (3,491) retired (2,960) sheher (2,683) life (2,636) dms (2,615) blm (2,549) proud (2,513) wife (2,323)

Top Hashtags in Follower Bios

#blm (1,750) #resist (1,720) #voteblue (803) #blacklivesmatter (544) #fbr (434) #bluecrew (407) #resister (334) #bidenharris (308) #resistance (304) #lgbtq (285)

68,143

Followers With Bio

32,851

Followers Without Bio

67.47%

% With Bio

32.53%

% 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.

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 3,245 analyzed

265,278

Combined Engagement

0

Total Likes

265,278

Total Retweets

53,056

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Legal Accountability Political Discourse Constitutional Law Justice Public Trust

Key Insights & Takeaways

She frequently comments on legal cases involving former President Trump, showing a clear focus on political and legal accountability. Her tweets often highlight the broader implications of legal decisions, such as the impact on public trust and justice. She uses her platform to express opinions on significant events, indicating a proactive role in shaping public discourse.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 197,355
  • + 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 @Teri_Kanefield reveals an well-established Twitter presence with 197,355 followers. The account demonstrates a conversation-first approach, averaging 452.6 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