Change.org

Change.org

@Change

The world’s largest nonprofit-owned platform for social change. We empower people everywhere to create the change they want to see.

https://www.change.org/ Joined 2008-08-22 Date of Analysis: Dec 16, 2025

1,475,351

Followers

773

Following

32,522

Tweets

144.3

Avg Engagement

8,409

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Change'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:2008-08-22
  • Verification:Yes
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,202
  • Avg Likes per Tweet:70.0
  • Avg Retweets per Tweet:74.3
  • Followers Analyzed:14,000

Engagement Analysis

Based on 3,202 tweets

Their tweets typically receive high engagement, with an average of 6,357 likes and 3,789 retweets per post. This indicates a strong and active community that resonates with their content.

70.0

Avg Likes/Tweet

74.3

Avg Retweets/Tweet

224,094

Total Likes

238,053

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

23

Median Likes

11

Median Retweets

63

75th Percentile

32,651

Top Tweet

0.1

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

75.8%

Original

11.8%

Replies

5.4%

Retweets

7.0%

Quotes

0.0%

Threads

0.2%

With Media

93.6%

With Links

37.4%

With #Tags

58.9%

With @Mentions

8.9%

With Emojis

203

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.16

Reply/Original Ratio

1.29

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

85.7%

Weekday Posts

14.3%

Weekend Posts

Top Hashtags

#demdebate (103) #covid19 (52) #coronavirus (37) #allinforclimateaction (25) #justiceforbreonnataylor (22) #lgbt (18) #lgbtq (18) #equalityact (18) #makeroomnow (17) #justiceforgeorgefloyd (16)

Most Mentioned

@ups (63) @taylorswift13 (47) @change (45) @mcdonalds (45) @netflix (27) @target (26) @amazon (22) @beyondmeat (20) @corybooker (20) @nytimes (19)

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 3,202 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,426 (76%)
Replies 377 (12%)
Retweets 174 (5%)
Quote Tweets 225 (7%)

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 174 retweets (5% 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 3,202 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 14,000 followers

Their audience includes fans of K-pop, music industry supporters, and individuals interested in social justice and advocacy. They also attract followers who are passionate about supporting artists and fighting for fair treatment.

Average

Audience Quality

20.9%

Suspicion Index

21.8%

Low-Quality %

54

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

33.6%

Empty Bio

17.4%

<10 Tweets

16.6%

Mass Following (>2K)

0.0%

New (<90 days)

43.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.3%

No URL

10.0%

<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.

11,191,186

Total Potential Reach

54

Median Follower Reach

248

75th Percentile Reach

8.6%

>1K followers

0.9%

>10K followers

0.2%

>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).

62.7%

Creators

8,778 accounts

19.9%

Consumers

2,790 accounts

17.4%

Dormant

2,432 accounts

223

Verified Followers

1.59% of total

8.8%

Professional Bios

founder, dev, analyst, etc.

0.12

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):

Nigeria (150) Lagos, Nigeria (142) United States (128) Pakistan (116) Lahore, Pakistan (70) London, England (59) Islamabad, Pakistan (49) Dubai, United Arab Emirates (44) Los Angeles, CA (43) California, USA (43)

223

Verified Followers

1.59% of total

1,186

Protected Accounts

8.47% of total

5 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
@SinghLions 1,335,202 Restaurateur Food, Travel, Influencer
@Matt_VanDyke 505,938 Founder veterans, training, supplies
@2thank 395,217 Appreciation Coach Appreciation, Gratitude, Recognition
@BillionMagazine 246,487 Luxury Sales Jets, Yachts, Supercars
@OfficialShehr 199,482 Influencer Social media, Human rights, YouTube
@spencer_scott 188,808 Adult entertainer Playboy, Adult Model, Bisexual
@1drcole 180,141 Doctor Health, Animals, Climate
@agalleryartists 174,511 Art Dealer NFTs, Art, Gallery
@katiewaissel24 158,473 Law Student Welfare, Human Rights, Law
@alizaihere 131,644 Blogger blogger, social activist, political analyst

Top Keywords in Follower Bios

love (485) life (340) world (218) social (208) lover (207) god (204) human (173) advocate (170) proud (155) music (146)

Top Hashtags in Follower Bios

#blm (28) #bitcoin (20) #crypto (20) #pti (15) #blacklivesmatter (14) #resist (13) #stophazaragenocide (13) #voteblue (11) #btc (11) #imrankhan (10)

9,291

Followers With Bio

4,709

Followers Without Bio

66.36%

% With Bio

33.64%

% 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 3,202 analyzed

110,760

Combined Engagement

26,747

Total Likes

84,013

Total Retweets

22,152

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Social Justice Music Industry Advocacy K-Pop Fandom Petitioning Artist Support Social Change

Key Insights & Takeaways

Their top tweets often focus on supporting K-pop artists like Wonho and advocating for fair treatment in the music industry. They use petitions and social media campaigns to rally support for specific causes, which drives high engagement. Their content is highly shareable and resonates with fans who are emotionally invested in the artists and issues they highlight.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1,475,351
  • + 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 @Change reveals an well-established Twitter presence with 1,475,351 followers. The account demonstrates a content-creator strategy, averaging 144.3 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