KATY PERRY

KATY PERRY

@katyperry

Love. Light.

https://linktr.ee/katyperry Joined 2009-02-20 Date of Analysis: Dez 16, 2025

108.977.175

Followers

243

Following

11.724

Tweets

12.311,8

Avg Engagement

127.725

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines katyperry'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: Mega Influencer (1M+)
  • Account Age:2009-02-20
  • Verification:Yes
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3.199
  • Avg Likes per Tweet:10.636,5
  • Avg Retweets per Tweet:1.675,3
  • Followers Analyzed:50.000
  • Following Analyzed:25

Engagement Analysis

Based on 3.199 tweets

Her tweets consistently receive high engagement, with an average of 244,000 likes and 47,000 retweets per post. This indicates a highly active and loyal fan base.

10.636,5

Avg Likes/Tweet

1.675,3

Avg Retweets/Tweet

34.026.216

Total Likes

5.359.187

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5.358

Median Likes

569

Median Retweets

12.638

75th Percentile

752.370

Top Tweet

0,11

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

84,3%

Original

3,2%

Replies

1,8%

Retweets

10,8%

Quotes

0,0%

Threads

0,6%

With Media

67,6%

With Links

64,2%

With #Tags

50,8%

With @Mentions

62,4%

With Emojis

122

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0,04

Reply/Original Ratio

6,05

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

87,6%

Weekday Posts

12,4%

Weekend Posts

Top Hashtags

#americanidol (1252) #shoesdaytuesday (130) #smile (60) #idol (50) #play (39) #neverreallyover (38) #hollywoodweek (27) #cozylittlechristmas (25) #harleysinhawaii (25) #daisies (24)

Most Mentioned

@kpcollections (175) @lukebryanonline (132) @americanidol (123) @lionelrichie (101) @abcnetwork (67) @ryanseacrest (41) @cynthialovely (38) @amazonfashion (23) @katyperry (20) @scarypoolparty (18)

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Content Strategy Analysis

Based on 3.199 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2.696 (84%)
Replies 101 (3%)
Retweets 57 (2%)
Quote Tweets 345 (11%)

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 57 retweets (2% 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 3.199 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 is primarily young, female fans who are fans of her music and public persona. They engage with her content through likes, retweets, and comments.

Below Average

Audience Quality

42,1%

Suspicion Index

58,2%

Low-Quality %

1

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

47,7%

Empty Bio

80,8%

<10 Tweets

0,9%

Mass Following (>2K)

0,0%

New (<90 days)

83,8%

Low Ratio (<0.1)

0,0%

New (<180 days)

96,6%

No URL

68,7%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

2.722.832

Total Potential Reach

1

Median Follower Reach

6

75th Percentile Reach

0,4%

>1K followers

0,1%

>10K followers

0,0%

>50K followers

0,0%

>100K followers

Creator vs Consumer Split

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

6,9%

Creators

3.445 accounts

12,3%

Consumers

6.175 accounts

80,8%

Dormant

40.380 accounts

7

Verified Followers

0,01% of total

1,6%

Professional Bios

founder, dev, analyst, etc.

0,02

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 (110) Los Angeles, CA (71) Lagos, Nigeria (63) Dhaka, Bangladesh (55) India (49) Nigeria (37) California, USA (35) Republic of the Philippines (31) London, England (30) Houston, TX (29)

1.910

Verified Followers

0.02% of total

878.462

Protected Accounts

8.78% of total

3 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
@ICC 16.288.546 Sports Governance Cricket, Sports, Global
@jimmykimmel 11.899.965 Comedian Comedy, TV, Bowling
@MarkRuffalo 8.247.472 Actor climate justice, actor, director
@KimberlyLoaiza_ 7.763.642 Influencer Family, Music, Fashion
@Pokemon 7.278.187 Entertainment Gaming, Anime, Collectibles
@hikakin 6.507.008 YouTuber YouTube, SNS, Collaboration
@jackwhitehall 6.122.533 Actor/Comedian Comedy, Acting, Entertainment
@BillNye 6.083.502 Science Educator Science, Education, Author
@juliette 5.645.757 Dancer Dancing, Tired, Watching
@keniaos 5.265.241 Influencer creativity, spirituality, positivity

Top Keywords in Follower Bios

love (313.471) life (183.485) music (90.896) god (77.555) fun (65.224) vida (63.753) live (63.122) world (54.175) lover (53.216) follow (51.057)

Top Hashtags in Follower Bios

#blacklivesmatter (3.331) #blm (2.966) #1 (2.571) #bts (1.794) #bitcoin (1.430) #music (1.310) #resist (1.300) #love (1.158) #nft (1.071) #army (921)

5.914.752

Followers With Bio

4.085.753

Followers Without Bio

59.14%

% With Bio

40.86%

% 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.

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Viral Tweets

Top 5 by likes+RTs from 3.199 analyzed

1.862.804

Combined Engagement

1.323.050

Total Likes

539.754

Total Retweets

372.561

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

40%

With Links

Topical Analysis:

Pop Culture Personal Expression Humor Self-Promotion Fan Interaction

Network & Following Analysis

Based on 25 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

88,0%

Verified Accounts

76,0%

High Authority (>50K)

4,0%

Dormant Accounts

0,0%

Low Quality

450.126

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

72,0%

Individuals

18 accounts

16,0%

Brands/Orgs

4 accounts

12,0%

Media/News

3 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ NASA 31.976.267 - -
@ Jim Carrey 18.432.584 - -
@ Pope Francis 18.075.388 - -
@ Pixar 11.487.483 - -
@ Luke Bryan 9.688.121 - -
@ Rachel Maddow MSNBC 9.652.296 - -
@ Kumail Nanjiani 2.864.952 - -
@ Ava DuVernay 2.213.911 - -
@ American Idol 2.040.188 - -
@ Emma González 1.647.634 - -

Key Insights & Takeaways

Her tweets often include personal and emotional content, which resonates with her audience. She frequently uses humor and self-deprecating remarks to connect with fans. Her engagement is driven by a mix of personal updates and promotional content.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 108.977.175
  • + 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 katyperry reveals an exceptionally influential Twitter presence with 108.977.175 followers. The account demonstrates a content-creator strategy, averaging 12.311,8 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.

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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: Dez 16, 2025