CHELSEA GREEN

CHELSEA GREEN

@ImChelseaGreen

🇨🇦 wrestling, podcasting, acting & stunts #HotMess

United States https://linktr.ee/Chelseaagreen Joined 2015-06-30 Date of Analysis: Dec 16, 2025

352,618

Followers

1,152

Following

25,510

Tweets

434.6

Avg Engagement

681

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @ImChelseaGreen'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:2015-06-30
  • Verification:No
  • Location:United States

Data Summary

  • Tweets Analyzed:3,241
  • Avg Likes per Tweet:357.0
  • Avg Retweets per Tweet:77.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,241 tweets

ImChelseaGreen's tweets consistently receive a high number of likes and retweets, indicating strong audience interaction and interest in her content. Her engagement rate suggests that her audience is highly invested in her posts and interactions.

357.0

Avg Likes/Tweet

77.6

Avg Retweets/Tweet

1,157,102

Total Likes

251,470

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

40

Median Likes

8

Median Retweets

246

75th Percentile

64,627

Top Tweet

1.23

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

13.3%

Original

37.3%

Replies

26.2%

Retweets

23.3%

Quotes

0.0%

Threads

1.3%

With Media

55.0%

With Links

17.1%

With #Tags

72.2%

With @Mentions

29.3%

With Emojis

78

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.81

Reply/Original Ratio

0.89

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.4%

Weekday Posts

29.6%

Weekend Posts

Top Hashtags

#impactonaxstv (84) #wweraw (59) #vxt (49) #wrestlemania (37) #impactwrestling (32) #nwapowerrr (23) #smackdown (13) #alwayzready (13) #majorplayers (13) #gcwhomecoming (12)

Most Mentioned

@imchelseagreen (557) @themattcardona (254) @deonnapurrazzo (228) @impactwrestling (191) @wwe (121) @nwa (104) @mickiejames (70) @majorwfpod (68) @fitetv (61) @karnage312 (58)

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 3,241 tweets

Content Type Distribution

Content Breakdown

Original Tweets 430 (13%)
Replies 1,209 (37%)
Retweets 848 (26%)
Quote Tweets 754 (23%)

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 848 retweets (26% 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 3,241 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 appears to be primarily fans of wrestling, entertainment, and pop culture, with a strong interest in celebrity interactions and behind-the-scenes content. The audience is likely active and engaged, given the high average likes and retweets.

Average

Audience Quality

28.7%

Suspicion Index

34.8%

Low-Quality %

36

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

49.9%

Empty Bio

29.9%

<10 Tweets

13.5%

Mass Following (>2K)

0.0%

New (<90 days)

61.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.0%

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.

Try Bot Detector

Follower Reach & Influence

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

38,998,419

Total Potential Reach

36

Median Follower Reach

117

75th Percentile Reach

3.3%

>1K followers

0.5%

>10K followers

0.1%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

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

47.4%

Creators

23,713 accounts

22.6%

Consumers

11,321 accounts

29.9%

Dormant

14,966 accounts

420

Verified Followers

0.84% of total

3.3%

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 (355) Chicago, IL (171) Los Angeles, CA (136) England, United Kingdom (107) Houston, TX (104) United Kingdom (102) Canada (96) Florida, USA (94) California, USA (91) India (90)

660

Verified Followers

0.66% of total

12,015

Protected Accounts

12.02% 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
@WWE 13,188,684 Wrestling wrestling, entertainment, fans
@RondaRousey 3,384,585 Athlete MMA, Wrestling, Acting
@EmmaWWE 1,556,487 - -
@LeBronJames 1,010,741 - -
@MilesSTEREOS 861,318 Musician Guitarist, Writer, Producer
@NOH8Campaign 801,562 Activism equality, bullying, discrimination
@WWEonFOX 682,574 Sports Broadcasting WWE, FOX Sports, Wrestling
@PlayersTribune 643,975 Sports Media Sports, Olympics, Athletes
@OccupyDemocrats 539,467 Political Activist Progressive, Grassroots, Politics
@JohnnyGargano 474,383 Wrestler Pro Wrestling, Cleveland, Outwork

Top Keywords in Follower Bios

wrestling (4,962) love (4,395) wwe (2,131) life (2,116) sports (1,696) music (1,449) pro (1,346) gamer (1,038) guy (986) lover (966)

Top Hashtags in Follower Bios

#wwe (225) #aew (183) #1 (98) #blacklivesmatter (65) #smackdown (58) #wweraw (49) #lakeshow (44) #wrestling (44) #parodyaccount (42) #blm (40)

53,687

Followers With Bio

46,313

Followers Without Bio

53.69%

% With Bio

46.31%

% 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 3,241 analyzed

163,609

Combined Engagement

39,832

Total Likes

123,777

Total Retweets

32,722

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Wrestling Entertainment Celebrity Interaction Personal Branding Pop Culture

Key Insights & Takeaways

Her content often includes direct engagement with WWE and other entertainment figures, which likely drives her high engagement rates. She uses a mix of personal branding and industry-related content to maintain relevance and visibility. Her verified status is low, suggesting she may rely more on organic growth and audience connection rather than platform validation.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 352,618
  • + 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 @ImChelseaGreen reveals an well-established Twitter presence with 352,618 followers. The account demonstrates a conversation-first approach, averaging 434.6 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