Meredith Salenger

Meredith Salenger

@MeredthSalenger

Actress ~ Writer ~ Producer 💖 Podcast "Did You Get My Text?" Podcast link: https://linktr.ee/MeredithSalenger

Malibu, CA https://www.imdb.com/name/nm0001694/ Joined 2009-04-24 Date of Analysis: Dec 16, 2025

112,536

Followers

2,026

Following

57,731

Tweets

1,800.8

Avg Engagement

608

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @MeredthSalenger'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:2009-04-24
  • Verification:No
  • Location:Malibu, CA

Data Summary

  • Tweets Analyzed:3,235
  • Avg Likes per Tweet:104.8
  • Avg Retweets per Tweet:1,696.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,235 tweets

Her tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The average engagement per tweet reflects her ability to connect with followers on both personal and public topics.

104.8

Avg Likes/Tweet

1,696.1

Avg Retweets/Tweet

338,926

Total Likes

5,486,795

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

4

Median Retweets

443

75th Percentile

140,751

Top Tweet

16.0

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

8.7%

Original

41.5%

Replies

40.4%

Retweets

9.4%

Quotes

0.0%

Threads

0.6%

With Media

40.2%

With Links

10.3%

With #Tags

86.9%

With @Mentions

22.4%

With Emojis

133

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.74

Reply/Original Ratio

0.23

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

76.3%

Weekday Posts

23.7%

Weekend Posts

Top Hashtags

#vote (18) #voteblue (15) #weallscream (13) #ilovemydad (12) #minorthreats (10) #karenbassformayor (7) #migov (6) #roevwade (5) #thesandman (5) #georgia (4)

Most Mentioned

@pattonoswalt (549) @meredthsalenger (145) @karenbassla (88) @evercarradine (73) @reverendwarnock (61) @cmclymer (60) @davidhogg111 (53) @ynb (50) @realmerrind (49) @mattoswaltva (48)

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 3,235 tweets

Content Type Distribution

Content Breakdown

Original Tweets 283 (9%)
Replies 1,341 (41%)
Retweets 1,307 (40%)
Quote Tweets 304 (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 1,307 retweets (40% 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 3,235 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 fans of her acting and writing work, as well as listeners of her podcast. The engagement suggests a mix of supporters and individuals interested in personal stories and social issues.

Average

Audience Quality

22.0%

Suspicion Index

19.0%

Low-Quality %

104

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

31.7%

Empty Bio

10.3%

<10 Tweets

27.2%

Mass Following (>2K)

0.0%

New (<90 days)

46.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

84.6%

No URL

6.2%

<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.

145,420,914

Total Potential Reach

104

Median Follower Reach

383

75th Percentile Reach

12.6%

>1K followers

1.9%

>10K followers

0.6%

>50K followers

0.4%

>100K followers

Creator vs Consumer Split

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

76.6%

Creators

38,285 accounts

13.1%

Consumers

6,540 accounts

10.3%

Dormant

5,175 accounts

578

Verified Followers

1.16% of total

10.8%

Professional Bios

founder, dev, analyst, etc.

0.11

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 (824) Los Angeles, CA (565) California, USA (392) Chicago, IL (326) New York, NY (232) USA (225) Los Angeles (201) Canada (191) Seattle, WA (188) Portland, OR (187)

1,360

Verified Followers

1.35% of total

11,355

Protected Accounts

11.24% of total

10 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 14,106,658 Wrestler Wrestling, Motivation, Self-promotion
@Byoussef 10,912,066 Political Satirist political satire, veganism, documentaries
@StephenKing 7,122,087 Author Horror, Writing, Books
@ZooeyDeschanel 5,621,848 Actress Actress, Singer, Mom
@BenStiller 5,615,086 Actor UNHCR, Goodwill Ambassador, Refugees
@MarkHamill 5,291,190 Actor Star Wars, Believe, Humor
@alyankovic 5,019,351 Musician Music, Comedy, Parody
@pattonoswalt 4,679,387 Comedian comedy, acting, podcasting
@verified 4,201,431 - -
@Alyssa_Milano 3,509,423 - -

Top Keywords in Follower Bios

mom (4,313) sheher (4,311) love (4,245) lover (3,720) life (3,013) writer (2,903) music (2,541) hehim (2,488) wife (2,445) husband (2,039)

Top Hashtags in Follower Bios

#blm (1,021) #resist (987) #blacklivesmatter (625) #voteblue (323) #resistance (201) #fbr (180) #theresistance (172) #resister (136) #lgbtq (136) #prochoice (128)

70,635

Followers With Bio

30,362

Followers Without Bio

69.94%

% With Bio

30.06%

% 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 3,235 analyzed

526,613

Combined Engagement

0

Total Likes

526,613

Total Retweets

105,323

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Personal Storytelling Social Issues Podcasting Authenticity Emotional Connection Public Discourse

Key Insights & Takeaways

Her personal and emotional tweets resonate deeply with followers, creating a sense of intimacy and connection. She often addresses sensitive and controversial topics, which sparks meaningful conversations and debate. Her podcast and other content suggest a focus on storytelling and real-life experiences, which aligns with her personal brand.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 112,536
  • + 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 @MeredthSalenger reveals an exceptionally influential Twitter presence with 112,536 followers. The account demonstrates a conversation-first approach, averaging 1,800.8 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