Jake Randall

Jake Randall

@Jake_Randall_YT

IG: JakeRandall72

4/29/1991 New Hampshire https://www.youtube.com/JakeRandall Joined 2020-02-07 Date of Analysis: Dec 16, 2025

352,362

Followers

1,154

Following

22,940

Tweets

74.9

Avg Engagement

1,081

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Jake_Randall_YT'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:2020-02-07
  • Verification:No
  • Location:4/29/1991 New Hampshire

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:54.3
  • Avg Retweets per Tweet:20.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,244 tweets

The account shows steady engagement with a high average number of likes per tweet. Retweets are also consistent, suggesting that the content is both liked and shared by the audience.

54.3

Avg Likes/Tweet

20.6

Avg Retweets/Tweet

176,146

Total Likes

66,897

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

0

Median Retweets

12

75th Percentile

53,513

Top Tweet

0.21

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

5.5%

Original

90.5%

Replies

2.0%

Retweets

2.0%

Quotes

0.0%

Threads

0.2%

With Media

25.9%

With Links

0.4%

With #Tags

89.7%

With @Mentions

11.3%

With Emojis

77

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

16.4

Reply/Original Ratio

0.97

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.1%

Weekday Posts

22.9%

Weekend Posts

Top Hashtags

#paxeast2023 (2) #goceltics (1) #paxeast (1) #3dseshop (1) #nintendo (1) #nin (1) #mentalhealth (1) #securethebag (1) #radiatepositivity (1) #fuckzach (1)

Most Mentioned

@wario64 (102) @tracker_ry (91) @snkr_twitr (82) @elonmusk (69) @cameronritz (56) @chitogaminyt (56) @jake_randall_yt (51) @thenbacentral (47) @ytnextgengaming (40) @playeressence (38)

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 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 179 (6%)
Replies 2,935 (90%)
Retweets 66 (2%)
Quote Tweets 64 (2%)

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 66 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 3,244 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 interested in heartfelt and inspirational content, especially related to athletes and their personal lives. They are likely to engage with emotionally resonant stories and messages.

Average

Audience Quality

27.7%

Suspicion Index

43.2%

Low-Quality %

9

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

56.2%

Empty Bio

40.5%

<10 Tweets

3.8%

Mass Following (>2K)

0.0%

New (<90 days)

51.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

90.9%

No URL

30.2%

<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.

28,016,524

Total Potential Reach

9

Median Follower Reach

65

75th Percentile Reach

2.2%

>1K followers

0.3%

>10K followers

0.1%

>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).

39.5%

Creators

19,750 accounts

20.0%

Consumers

10,006 accounts

40.5%

Dormant

20,244 accounts

267

Verified Followers

0.53% of total

3.6%

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 (630) Los Angeles, CA (300) California, USA (246) Chicago, IL (230) Florida, USA (189) Houston, TX (189) New York, USA (173) Texas, USA (160) Atlanta, GA (156) Dallas, TX (138)

427

Verified Followers

0.42% of total

11,154

Protected Accounts

11.04% of total

6 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 14,103,659 Wrestler Wrestling, Motivation, Self-promotion
@Boogie2988 492,714 YouTuber gaming, mental health, streaming
@OfficialHHI 479,342 Dance Organization Dance, Hip Hop, Workshops
@babygirlnoell 420,256 Adult entertainer OnlyFans, Content Creator, Website
@TheChrisWoodard 410,331 Video Editor Gamer, NHL fan, Horror movie lover
@JacquelineRLine 367,112 Influencer Fashion, Beauty, Lifestyle
@EvanKirstel 344,356 Tech Influencer Tech, B2B, Social media
@305Drop 266,708 - -
@robtswthrayguns 259,386 Inventor synthwave, NFT, NSFW
@conquerer1 237,536 Entertainer MUSIC, AWARDS, CELEBRITIES

Top Keywords in Follower Bios

love (1,848) life (1,771) gamer (1,151) games (1,024) sports (860) music (830) father (735) video (718) time (710) husband (665)

Top Hashtags in Follower Bios

#1 (62) #blacklivesmatter (58) #blm (42) #bitcoin (40) #nft (28) #gamer (27) #crypto (25) #lakeshow (25) #teamfollowback (25) #billsmafia (25)

41,965

Followers With Bio

59,034

Followers Without Bio

41.55%

% With Bio

58.45%

% 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 3,244 analyzed

102,594

Combined Engagement

48,293

Total Likes

54,301

Total Retweets

20,519

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Empathy Family Spirituality Authenticity Personal Stories Athlete Narratives

Key Insights & Takeaways

The content often focuses on emotional and personal stories, particularly involving athletes and their families. The account emphasizes compassion and prayer, indicating a focus on empathy and support. There is a clear emphasis on authenticity and genuine human experiences, which resonates with the audience.

Strengths

  • + Established follower base of 352,362
  • + 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 @Jake_Randall_YT reveals an growing Twitter presence with 352,362 followers. The account demonstrates a conversation-first approach, averaging 74.9 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