Courtney Act
Author #brendacallme #DWTSau #TheBiLife #CBB #DragRace Management: wendy@workingmanagement.com.au
379,958
Followers
5,081
Following
25,785
Tweets
1,174.4
Avg Engagement
937
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @courtneyact'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:2008-11-17
- Verification:No
- Location:Sydney, New South Wales
Data Summary
- Tweets Analyzed:3,182
- Avg Likes per Tweet:408.3
- Avg Retweets per Tweet:766.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,182 tweetsCourtneyact's tweets receive high engagement, with an average of 10,951 likes and 1,076 retweets per tweet. Their content often sparks conversations and interactions with fans.
408.3
Avg Likes/Tweet
766.1
Avg Retweets/Tweet
1,299,090
Total Likes
2,437,749
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
87
Median Likes
5
Median Retweets
417
75th Percentile
677,747
Top Tweet
3.09
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
41.1%
Original
39.0%
Replies
14.4%
Retweets
5.5%
Quotes
0.0%
Threads
1.4%
With Media
37.0%
With Links
21.7%
With #Tags
65.5%
With @Mentions
11.9%
With Emojis
116
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.95
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,182 tweetsContent Type Distribution
Content Breakdown
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 458 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 3,182 tweetsEngagement 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 followersTheir audience is primarily interested in entertainment, drag culture, and personal storytelling. They engage with fans through shared experiences and behind-the-scenes content.
Average
Audience Quality
23.1%
Suspicion Index
24.8%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.2%
Empty Bio
24.3%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
57.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.9%
No URL
16.3%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
52,361,300
Total Potential Reach
28
Median Follower Reach
141
75th Percentile Reach
5.5%
>1K followers
0.8%
>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).
55.5%
Creators
27,744 accounts
20.2%
Consumers
10,086 accounts
24.3%
Dormant
12,170 accounts
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):
616
Verified Followers
0.62% of total
14,933
Protected Accounts
14.93% 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 | 14,104,041 | Wrestler | Wrestling, Motivation, Self-promotion |
| @richardbranson | 12,559,261 | Entrepreneur | adventurer, philanthropy, astronaut |
| @grimmers | 1,886,940 | Radio Host | music, fashion, entertainment |
| @MissJessWright_ | 1,318,415 | Singer | Music, Singing, Happiness |
| @OwenJones84 | 1,025,957 | - | - |
| @shaunking | 1,022,150 | Activist | Social justice, activism, journalism |
| @WhatsTrending | 890,264 | News Outlet | DAILY, SOCIAL, NEWS |
| @Rove | 812,079 | Comedian | comedy, TV hosting, social media |
| @KvotheOf | 780,282 | - | - |
| @ITVX | 774,311 | Streaming Service | Streaming, Launching, Support |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,840
Followers With Bio
32,160
Followers Without Bio
67.84%
% With Bio
32.16%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,182 analyzed1,300,081
Combined Engagement
0
Total Likes
1,300,081
Total Retweets
260,016
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening…
RT @NAACP: And you thought "Taking A Knee" was too much!?!
RT @paddingtonbear: Thank you Ma’am, for everything.
RT @engineering_bae: https://t.co/T3SHGQdIAf
RT @AP: JOE BIDEN DEFEATS PRESIDENT DONALD TRUMP The Associated Press declares Joe Biden the winner of a grueling campaign for the Americ…
Key Insights & Takeaways
Courtneyact's personal history and career transitions are a key part of their narrative They frequently engage with fans through shared experiences and humor Their content often highlights the intersection of entertainment and personal identity
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 379,958
- + 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 @courtneyact reveals an exceptionally influential Twitter presence with 379,958 followers. The account demonstrates a content-creator strategy, averaging 1,174.4 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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