J. Smith-Cameron💙

J. Smith-Cameron💙

@j_smithcameron

Gerri #SuccessionHBO Janet #Rectify #Vengeance

https://twiends.com/j_smithcameron Joined 2013-02-07 Date of Analysis: Dec 16, 2025

72,315

Followers

2,772

Following

45,226

Tweets

1,083.1

Avg Engagement

212

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @j_smithcameron'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: Mid-Tier (10K+)
  • Account Age:2013-02-07
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,230
  • Avg Likes per Tweet:159.8
  • Avg Retweets per Tweet:923.3
  • Followers Analyzed:9,998

Engagement Analysis

Based on 3,230 tweets

Her tweets consistently receive high engagement, with an average of 18,986 likes and 1,187 retweets per post. This indicates a highly interactive and supportive community around her content.

159.8

Avg Likes/Tweet

923.3

Avg Retweets/Tweet

516,306

Total Likes

2,982,116

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

1

Median Retweets

127

75th Percentile

413,244

Top Tweet

14.98

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

12.9%

Original

51.5%

Replies

26.7%

Retweets

8.8%

Quotes

0.0%

Threads

0.6%

With Media

37.6%

With Links

10.0%

With #Tags

80.6%

With @Mentions

17.5%

With Emojis

104

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.99

Reply/Original Ratio

0.33

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

71.8%

Weekday Posts

28.2%

Weekend Posts

Top Hashtags

#succession (19) #voteup (7) #successionhbo (6) #vengeance (6) #wgastrong (5) #mahsaamini (5) #blackhistorymonth (5) #newprofilepic (4) #demvoice1 (4) #fleishmanisintrouble (4)

Most Mentioned

@rhonda_1981 (107) @hollylottie88 (97) @statesprojectus (72) @j_smithcameron (66) @davidpepper (50) @jeffreyswisher (48) @joanns992 (43) @notgayleking (41) @wikitina (41) @paulrudnickny (40)

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 3,230 tweets

Content Type Distribution

Content Breakdown

Original Tweets 417 (13%)
Replies 1,665 (52%)
Retweets 864 (27%)
Quote Tweets 284 (9%)

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 864 retweets (27% 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 3,230 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 9,998 followers

Her followers likely include fans of the TV shows she's associated with, as well as individuals interested in personal stories and emotional content. The audience appears to be engaged and responsive to her posts.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

120

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

79.1%

No URL

100.0%

<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.

18,685,463

Total Potential Reach

120

Median Follower Reach

407

75th Percentile Reach

12.5%

>1K followers

2.1%

>10K followers

0.5%

>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).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

9,998 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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):

London (108) London, England (105) Los Angeles, CA (101) New York, NY (98) she/her (90) Washington, DC (66) Brooklyn, NY (62) Chicago, IL (60) United States (53) Los Angeles (42)

0

Verified Followers

0.0% of total

1,764

Protected Accounts

17.64% 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
@katiecouric 1,672,414 Journalist Journalism, Cancer Research, Podcasting
@pmarca 1,264,143 Investor Tucked shirt
@IndieWire 806,887 Media Film, TV, Industry
@Markgatiss 690,237 Actor Acting, Writing, Strangling
@FardadFarahzad 579,812 Journalist Journalism, Host, IranIntl
@samuelluckhurst 578,829 Sports journalist Football, Manchester United, Journalism
@reclu 497,458 Radio Host Music, TV, Awards
@jheil 416,703 Journalist Politics, Media, Podcasts
@AWeissmann_ 284,835 Lawyer Law, Investigation, New York
@GoogleExpertUK 263,296 SEO Expert SEO, Cruise, Art

Top Keywords in Follower Bios

sheher (542) writer (270) love (206) lover (201) hehim (173) views (167) life (162) music (154) mom (149) enthusiast (142)

Top Hashtags in Follower Bios

#blacklivesmatter (26) #blm (19) #1 (18) #resist (15) #voteblue (11) #vote (6) #lfc (6) #gtto (5) #fbpe (5) #flyeaglesfly (5)

7,033

Followers With Bio

2,967

Followers Without Bio

70.33%

% With Bio

29.67%

% 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 3,230 analyzed

1,134,467

Combined Engagement

0

Total Likes

1,134,467

Total Retweets

226,893

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Personal Storytelling Emotional Expression Tv Show Engagement

Key Insights & Takeaways

She often shares personal and emotional experiences, which resonate with her audience. Her content is frequently tied to popular TV shows, suggesting a strong connection to those media properties. She uses hashtags and links to enhance engagement and drive traffic to her posts.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 72,315
  • + 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 @j_smithcameron reveals an exceptionally influential Twitter presence with 72,315 followers. The account demonstrates a conversation-first approach, averaging 1,083.1 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