Addison Rae
🫧
4,744,329
Followers
1
Following
5,750
Tweets
21,155.3
Avg Engagement
1,421
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @whoisaddison'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:2015-08-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,114
- Avg Likes per Tweet:19,301.2
- Avg Retweets per Tweet:1,854.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,114 tweetsWhoisaddison's tweets receive a high level of engagement, with an average of 177,440 likes and 13,513 retweets per tweet. This indicates a strong and loyal following.
19,301.2
Avg Likes/Tweet
1,854.0
Avg Retweets/Tweet
60,104,092
Total Likes
5,773,425
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12,735
Median Likes
240
Median Retweets
29,244
75th Percentile
1,948,669
Top Tweet
4.46
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
66.0%
Original
15.9%
Replies
13.4%
Retweets
4.7%
Quotes
0.0%
Threads
0.5%
With Media
28.9%
With Links
4.8%
With #Tags
31.2%
With @Mentions
15.4%
With Emojis
51
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.2%
Weekday Posts
26.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,114 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 418 retweets (13% 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 3,114 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 followersThe audience is likely young and interested in trending topics, memes, and viral content. They are active on social media and enjoy sharing and consuming popular online culture.
Average
Audience Quality
34.0%
Suspicion Index
49.1%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.8%
Empty Bio
53.3%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
67.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
42.3%
<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.
25,125,787
Total Potential Reach
5
Median Follower Reach
32
75th Percentile Reach
2.0%
>1K followers
0.3%
>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).
28.7%
Creators
14,342 accounts
18.1%
Consumers
9,029 accounts
53.3%
Dormant
26,629 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):
320
Verified Followers
0.32% of total
13,121
Protected Accounts
12.99% of total
2 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 |
|---|---|---|---|
| @Amouranth | 3,657,151 | Influencer | Gaming, Fitness, Cosplay |
| @HayesGrier | 3,457,100 | Influencer | Instagram, @hayesgrier |
| @SonyPictures | 3,292,530 | Entertainment | Movies, IMAX, Tickets |
| @anthonypadilla | 2,288,438 | YouTuber | YouTube, Comedy, Podcasts |
| @tferriss | 1,910,690 | Author | books, investing, podcasting |
| @_ColeBennett_ | 1,308,498 | Music video director | Music, Visuals, Creativity |
| @iamvictoryaa | 1,058,658 | Influencer | Fashion, Beauty, Lifestyle |
| @bouska | 841,212 | Fashion Photographer | Fashion, Photography, Activism |
| @hannahxxrose | 747,038 | Gamer | roses, minecraft, GFuelEnergy |
| @itsnylasan | 739,098 | Influencer | Fashion, Beauty, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,721
Followers With Bio
54,271
Followers Without Bio
46.26%
% With Bio
53.74%
% 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 3,114 analyzed3,183,658
Combined Engagement
453,966
Total Likes
2,729,692
Total Retweets
636,732
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @CH1ONESO: NORMALIZE CHANGING YOUR OPINION ON SOMETHING AFTER LEARNING NEW INFORMATION. ITS OKAY. I PROMISE.
RT @raggelli: THEY OPENED AN INVESTIGATION FOR THE DEATH OF BREONNA TAYLOR!!!!!!!!!!!!!!!!!
WATERMELON SUGAR https://t.co/PT793INCuJ
https://t.co/EECMm3xM0M
Key Insights & Takeaways
The user's content is often viral and shares a high level of popularity. Their top tweets include links to specific content like watermelon sugar and other trending material. They maintain a minimal bio, suggesting a focus on content rather than personal branding.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 4,744,329
- + 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 @whoisaddison reveals an exceptionally influential Twitter presence with 4,744,329 followers. The account demonstrates a content-creator strategy, averaging 21,155.3 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.
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