tyler oakley // schedule pinned

tyler oakley // schedule pinned

@tyleroakley

host of https://www.twitch.tv/tyleroakley - live Su, Tu, W, Fr / cohost of “psychobabble” - a weekly pop culture podcast (he/him)

mgmt: tyleroakley@select.co https://linktr.ee/tyleroakley Joined 2008-03-26 Date of Analysis: Dec 16, 2025

5,081,018

Followers

890

Following

77,318

Tweets

1,354.6

Avg Engagement

7,896

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @tyleroakley'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:2008-03-26
  • Verification:No
  • Location:mgmt: tyleroakley@select.co

Data Summary

  • Tweets Analyzed:3,232
  • Avg Likes per Tweet:429.2
  • Avg Retweets per Tweet:925.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,232 tweets

Tyleroakley's tweets receive high average likes and retweets, indicating strong audience interaction. His ability to create shareable content drives consistent engagement.

429.2

Avg Likes/Tweet

925.4

Avg Retweets/Tweet

1,387,118

Total Likes

2,990,928

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

38

Median Likes

2

Median Retweets

263

75th Percentile

313,806

Top Tweet

0.27

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

37.0%

Original

42.6%

Replies

9.3%

Retweets

11.1%

Quotes

0.0%

Threads

0.1%

With Media

38.8%

With Links

1.7%

With #Tags

53.5%

With @Mentions

17.2%

With Emojis

87

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.15

Reply/Original Ratio

1.19

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.5%

Weekday Posts

22.5%

Weekend Posts

Top Hashtags

#dragrace (9) #chaosforgood (9) #twitchcon (8) #acnh (6) #1 (3) #stardewvalley (2) #ad (2) #splatpackgivesback (2) #teamsasha (1) #grammys (1)

Most Mentioned

@tytymods (58) @koreykuhl (54) @tyleroakley (33) @hasanthehun (28) @afrantt56 (21) @h3h3productions (21) @mikfoolery (20) @hankgreen (19) @totorobabelive (18) @itsmaybejasmine (17)

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Content Strategy Analysis

Based on 3,232 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,197 (37%)
Replies 1,377 (43%)
Retweets 300 (9%)
Quote Tweets 358 (11%)

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 300 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 3,232 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

His audience includes fans of pop culture, comedy, and social media trends. They are likely young adults and teenagers who enjoy witty and thought-provoking content.

Average

Audience Quality

25.6%

Suspicion Index

25.6%

Low-Quality %

23

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

31.4%

Empty Bio

29.3%

<10 Tweets

12.6%

Mass Following (>2K)

0.0%

New (<90 days)

59.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.9%

No URL

19.8%

<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.

94,030,307

Total Potential Reach

23

Median Follower Reach

137

75th Percentile Reach

5.7%

>1K followers

1.1%

>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).

49.8%

Creators

24,877 accounts

20.9%

Consumers

10,458 accounts

29.3%

Dormant

14,665 accounts

410

Verified Followers

0.82% of total

4.8%

Professional Bios

founder, dev, analyst, etc.

0.07

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 (464) she/her (421) Los Angeles, CA (278) Chicago, IL (203) London, England (184) California, USA (174) Canada (159) United Kingdom (146) New York, NY (141) England, United Kingdom (139)

665

Verified Followers

0.66% of total

14,440

Protected Accounts

14.3% of total

4 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
@ParisHilton 16,835,242 Entrepreneur business, updates, media
@JohnCena 14,106,243 Wrestler Wrestling, Motivation, Self-promotion
@KimberlyLoaiza_ 8,533,033 Influencer Family, Music, Fashion
@GooglePlay 7,553,204 Digital Content movies, TV, games
@sarahcpr 2,116,264 Comedian comedy, author, speaker
@chartdata 1,999,393 Music Analyst music charts, awards, industry news
@tacobell 1,999,091 Fast Food food, support, customer service
@JacobWhitesides 1,785,819 Singer music, singer, songwriter
@Eret 1,622,694 Streamer Gaming, LGBTQ+, Streaming
@RBReich 1,597,208 Professor Economics, Politics, Inequality

Top Keywords in Follower Bios

sheher (3,854) love (3,731) life (2,184) hehim (1,977) account (1,501) music (1,332) gay (1,242) follow (1,161) lover (1,077) twitter (1,045)

Top Hashtags in Follower Bios

#blacklivesmatter (379) #blm (297) #1 (145) #lgbtq (62) #resist (49) #stopasianhate (42) #gay (34) #translivesmatter (34) #acab (32) #bitcoin (29)

69,830

Followers With Bio

31,167

Followers Without Bio

69.14%

% With Bio

30.86%

% 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 3,232 analyzed

834,315

Combined Engagement

206,218

Total Likes

628,097

Total Retweets

166,863

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Humor Social Commentary Pop Culture Personal Storytelling Viral Content Internet Culture

Key Insights & Takeaways

His content often blends humor with social commentary, making it both entertaining and thought-provoking. He frequently shares personal anecdotes, which help build a connection with his audience. His use of visual and emotional triggers in tweets increases their shareability and reach.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 5,081,018
  • + 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 @tyleroakley reveals an exceptionally influential Twitter presence with 5,081,018 followers. The account demonstrates a conversation-first approach, averaging 1,354.6 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.

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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: Dec 16, 2025