LH

LH

@happeehour

“Be kind whenever possible. It is always possible.” — The 14th Dalai Lama

Philippines https://pulpliveworld.com/ Joined 2009-09-29 Date of Analysis: Dec 16, 2025

577,013

Followers

696

Following

39,454

Tweets

849.7

Avg Engagement

426

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @happeehour'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:2009-09-29
  • Verification:No
  • Location:Philippines

Data Summary

  • Tweets Analyzed:3,229
  • Avg Likes per Tweet:653.3
  • Avg Retweets per Tweet:196.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,229 tweets

The account maintains high engagement through interactive tweets, event promotions, and direct messages. It also uses hashtags and emojis to encourage participation and visibility.

653.3

Avg Likes/Tweet

196.4

Avg Retweets/Tweet

2,109,531

Total Likes

634,108

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

11

Median Likes

2

Median Retweets

227

75th Percentile

78,180

Top Tweet

1.47

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

13.3%

Original

70.0%

Replies

13.8%

Retweets

3.0%

Quotes

0.0%

Threads

0.8%

With Media

12.6%

With Links

18.5%

With #Tags

87.0%

With @Mentions

29.5%

With Emojis

98

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

5.28

Reply/Original Ratio

0.22

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

53.4%

Weekday Posts

46.6%

Weekend Posts

Top Hashtags

#manifesto_in_manila (85) #ss9inmanila (72) #skzinmanila2023 (51) #runningmaninmanila (49) #kimseonhoinmnl2023 (41) #skzinmnl2023 (34) #thedreamshow2_in_manila (28) #hallyuweenph2022 (28) #parkjinyounginmnl2023 (27) #redvelvetinmnl2023 (12)

Most Mentioned

@pulpliveworld (553) @smtickets (245) @happeehour (174) @kringkim (70) @vernon_go (68) @moaarena (58) @nctsmtown_dream (35) @rmphofficial (30) @wookieteukie (25) @sjofficial (25)

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 3,229 tweets

Content Type Distribution

Content Breakdown

Original Tweets 428 (13%)
Replies 2,259 (70%)
Retweets 446 (14%)
Quote Tweets 96 (3%)

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 446 retweets (14% 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 3,229 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 be primarily Filipino, given the use of Filipino language in tweets. They are likely fans of K-pop groups like ENHYPEN and enjoy interactive and community-driven content.

Good

Audience Quality

14.6%

Suspicion Index

18.3%

Low-Quality %

23

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

27.1%

Empty Bio

14.8%

<10 Tweets

1.8%

Mass Following (>2K)

0.0%

New (<90 days)

37.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.2%

No URL

9.5%

<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.

25,749,440

Total Potential Reach

23

Median Follower Reach

140

75th Percentile Reach

3.7%

>1K followers

0.2%

>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).

68.8%

Creators

34,391 accounts

16.4%

Consumers

8,188 accounts

14.8%

Dormant

7,421 accounts

39

Verified Followers

0.08% of total

1.6%

Professional Bios

founder, dev, analyst, etc.

0.19

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):

Republic of the Philippines (717) Philippines (565) she/her (562) 🇵🇭 (271) Seoul, Republic of Korea (137) PH (126) Manila, Philippines (123) National Capital Region, Repub (108) Quezon City (100) Manila (100)

75

Verified Followers

0.07% of total

26,487

Protected Accounts

26.49% 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
@JohnCena 14,105,063 Wrestler Wrestling, Motivation, Self-promotion
@_monaalawi 1,541,875 Influencer Fashion, Beauty, Lifestyle
@enhypenupdates 1,002,812 Fanbase K-pop, Updates, News
@yskaelaa 666,267 Influencer foxes, sunshine, sponsorship
@PRODBYENGENE 244,087 Music Producer K-POP, ENHYPEN, Digital Streaming
@yanihatesu 241,535 Writer San Mig, Apple, Problems
@phklasik 198,316 Music Blogger OPM, Resource, Philippines
@Coreandor 195,612 Author politics, thriller, author
@kyoongbh_ 187,106 Social Media Influencer Social Media, Shiller, Crypto
@snkdior 185,312 Writer han's alien, skzenha, aus

Top Keywords in Follower Bios

enhypen (4,838) account (4,672) acc (4,008) stan (2,962) sheher (2,695) love (2,528) bns (2,058) life (2,021) bts (1,665) engene (1,595)

Top Hashtags in Follower Bios

#enhypen (1,141) #엔하이픈 (763) #세븐틴 (253) #seventeen (206) #스트레이키즈 (193) #정원 (166) #bts (163) #희승 (156) #니키 (148) #선우 (138)

75,335

Followers With Bio

24,665

Followers Without Bio

75.34%

% With Bio

24.66%

% 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 3,229 analyzed

270,295

Combined Engagement

102,024

Total Likes

168,271

Total Retweets

54,059

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Kindness Community Engagement K-Pop Fandom Event Promotion Filipino Culture

Key Insights & Takeaways

The account uses a mix of Filipino and English, indicating a bilingual audience. It frequently collaborates with other accounts and promotes events, suggesting a focus on community engagement. High engagement is driven by interactive content and direct communication with followers.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 577,013
  • + 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 @happeehour reveals an well-established Twitter presence with 577,013 followers. The account demonstrates a conversation-first approach, averaging 849.7 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