Dana Carvey

Dana Carvey

@danacarvey

TheWeirdPlace : https://redirect.viglink.com?u=https%253A%252F%252Fpodcasts.apple.com%252Fus%252Fpodcast%252Fthe-weird-place%252Fid1651337728%253Fi%253D1000584445055&key=a7e37b5f6ff1de9cb410158b1013e54a&prodOvrd=RAC&opt=false FlyOnTheWall: https://redirect.viglink.com?u=https%253A%252F%252Fpodcasts.apple.com%252Fus%252Fpodcast%252Ffly-on-the-wall-with-dana-carvey-and-david-spade%252Fid1603639502&key=a7e37b5f6ff1de9cb410158b1013e54a&prodOvrd=RAC&opt=false Fantastic: https://redirect.viglink.com?u=https%253A%252F%252Fpodcasts.apple.com%252Fus%252Fpodcast%252Ffantastic-with-dana-carvey%252Fid1548073553&key=a7e37b5f6ff1de9cb410158b1013e54a&prodOvrd=RAC&opt=false

San Francisco https://www.danacarvey.com/ Joined 2009-03-25 Date of Analysis: Dec 16, 2025

329,429

Followers

48,195

Following

1,947

Tweets

293.6

Avg Engagement

1,314

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @danacarvey'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:2009-03-25
  • Verification:No
  • Location:San Francisco

Data Summary

  • Tweets Analyzed:1,321
  • Avg Likes per Tweet:256.2
  • Avg Retweets per Tweet:37.3
  • Followers Analyzed:50,000

Engagement Analysis

Based on 1,321 tweets

Their tweets typically receive high engagement, with an average of 9k likes and 575 retweets per post.

256.2

Avg Likes/Tweet

37.3

Avg Retweets/Tweet

338,476

Total Likes

49,331

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

83

Median Likes

14

Median Retweets

263

75th Percentile

18,801

Top Tweet

0.89

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

66.2%

Original

22.5%

Replies

8.6%

Retweets

2.6%

Quotes

0.0%

Threads

0.3%

With Media

48.3%

With Links

26.5%

With #Tags

54.0%

With @Mentions

11.5%

With Emojis

106

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.34

Reply/Original Ratio

0.31

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.3%

Weekday Posts

25.7%

Weekend Posts

Top Hashtags

#flyonthewall (224) #snl (63) #comedy (26) #theweirdplace (17) #podcast (15) #funny (10) #ama (9) #marktwainprize (8) #trump (5) #chrisfarley (5)

Most Mentioned

@davidspade (257) @danacarvey (114) @adamsandler (21) @dexcarvey (17) @kevin_nealon (16) @glowpunk (16) @realjonlovitz (14) @dennisdmz (10) @hubbellmountain (10) @cadence13_ (8)

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 1,321 tweets

Content Type Distribution

Content Breakdown

Original Tweets 875 (66%)
Replies 297 (22%)
Retweets 114 (9%)
Quote Tweets 35 (3%)

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 114 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 1,321 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

The audience appears to enjoy lighthearted, relatable content and celebrity interactions.

Average

Audience Quality

23.1%

Suspicion Index

27.4%

Low-Quality %

48

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.0%

Empty Bio

17.2%

<10 Tweets

13.5%

Mass Following (>2K)

0.0%

New (<90 days)

53.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.8%

No URL

10.9%

<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.

81,374,781

Total Potential Reach

48

Median Follower Reach

173

75th Percentile Reach

6.4%

>1K followers

1.0%

>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).

64.4%

Creators

32,186 accounts

18.4%

Consumers

9,219 accounts

17.2%

Dormant

8,595 accounts

943

Verified Followers

1.89% of total

7.8%

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 (705) Los Angeles, CA (365) Chicago, IL (261) California, USA (248) USA (207) Texas, USA (207) Canada (206) Florida, USA (183) Austin, TX (143) New York, NY (126)

1,193

Verified Followers

1.18% of total

9,592

Protected Accounts

9.5% 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
@EllenDeGeneres 76,156,626 - -
@JohnCena 14,101,176 Wrestler Wrestling, Motivation, Self-promotion
@jimmykimmel 11,646,355 Comedian Comedy, TV, Bowling
@robkardashian 7,094,314 Celebrity Family, Fitness, Fashion
@tonyhawk 4,519,341 Skateboarder Skateboarding, Family, Video Games
@Alyssa_Milano 3,501,049 - -
@SSantiagosegura 3,258,199 Actor Comedy, Film, Director
@DavidSpade 2,797,799 Comedian comedy, acting, sarcasm
@DaneCook 2,683,694 Comedian comedy, entertainment, humor
@PaulWight 2,453,213 Wrestler AEW, TALENT, Wrestling

Top Keywords in Follower Bios

love (3,622) music (2,473) life (2,375) husband (2,042) lover (1,982) father (1,959) mom (1,739) sports (1,422) dad (1,374) wife (1,302)

Top Hashtags in Follower Bios

#blm (233) #resist (222) #blacklivesmatter (128) #maga (114) #1 (83) #voteblue (82) #billsmafia (70) #bitcoin (61) #2a (49) #theresistance (48)

54,668

Followers With Bio

46,328

Followers Without Bio

54.13%

% With Bio

45.87%

% 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 1,321 analyzed

64,707

Combined Engagement

62,742

Total Likes

1,965

Total Retweets

12,941

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

40%

With @Mentions

80%

With Links

Topical Analysis:

Humor Personal Growth Celebrity Culture Fitness Comedy

Key Insights & Takeaways

They often share personal achievements and fitness goals, showing a focus on self-improvement. They engage with celebrity friends, indicating a connection to entertainment and comedy circles. Their content is casual and conversational, making them approachable and relatable.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 329,429
  • + 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 @danacarvey reveals an well-established Twitter presence with 329,429 followers. The account demonstrates a content-creator strategy, averaging 293.6 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