Love me
Hey Im Reginae❤️
989,762
Followers
1,524
Following
23,685
Tweets
6,227.5
Avg Engagement
1,844
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @reginae_carter1'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:2009-10-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:572
- Avg Likes per Tweet:500.3
- Avg Retweets per Tweet:5,727.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 572 tweetsHer tweets consistently receive a high number of likes and retweets, indicating strong audience interaction. The average engagement per tweet is notably higher than typical benchmarks.
500.3
Avg Likes/Tweet
5,727.2
Avg Retweets/Tweet
286,148
Total Likes
3,275,969
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
413
Median Retweets
7,963
75th Percentile
130,200
Top Tweet
6.29
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
30.9%
Original
1.4%
Replies
61.9%
Retweets
5.8%
Quotes
0.0%
Threads
0.2%
With Media
13.8%
With Links
4.5%
With #Tags
63.5%
With @Mentions
35.8%
With Emojis
89
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.7%
Weekday Posts
24.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 572 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 354 retweets (62% 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 572 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 followersHer audience appears to be fans of her personal brand and those interested in relatable, affectionate content. The engagement suggests a loyal and active follower base.
Average
Audience Quality
30.9%
Suspicion Index
40.8%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.1%
Empty Bio
42.8%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
63.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
29.5%
<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.
16,783,239
Total Potential Reach
15
Median Follower Reach
75
75th Percentile Reach
2.9%
>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).
32.7%
Creators
16,356 accounts
24.5%
Consumers
12,261 accounts
42.8%
Dormant
21,383 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):
348
Verified Followers
0.34% of total
11,335
Protected Accounts
11.22% of total
3 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 | 14,105,750 | Wrestler | Wrestling, Motivation, Self-promotion |
| @davidwalliams | 2,293,064 | Comedian | comedian, author, children |
| @SinghLions | 1,335,653 | Restaurateur | Food, Travel, Influencer |
| @TinyMajorMama | 1,290,408 | Entrepreneur | Family, Business, Motherhood |
| @hulu | 1,131,873 | Streaming Service | diversity, Hispanic, Latinx |
| @WipeHomophobia | 697,404 | - | - |
| @Simonna | 503,265 | Actress | Film & TV, Singer, Veggie lover |
| @LiveMixtapes | 436,214 | Music Platform | hip-hop, mixtapes, music |
| @iamprincekash | 410,096 | - | - |
| @GODDESSENTXXX | 391,294 | Pornstar | Chicago, Pornstar, Stripper Company |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,723
Followers With Bio
48,276
Followers Without Bio
52.2%
% With Bio
47.8%
% 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 572 analyzed401,968
Combined Engagement
0
Total Likes
401,968
Total Retweets
80,394
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @chaesoberrie: A relationship where both of y’all funny asf >>>>
RT @shelleyyy___: One thing about God is He never ever ever ever fails me🤧🤍
RT @lowkeyalbert: have you ever??? been annoyed by someone’s mindset?? like you can’t believe they actually think like that???
RT @alexis__bryan: why do people love the “real best friends see each other once a year” “have no pics with my best friend” flex. see your…
RT @theereal_one: y’all ever wake up from a dream & be impressed??! like damn, the narrative structure and plot line was amazing 😭😭
Key Insights & Takeaways
Her content is highly personal and emotional, reflecting deep affection for her partner. She uses humor and playful language to connect with her audience. Her tweets often include direct links, suggesting a focus on personal branding or promotion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 989,762
- + 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 @reginae_carter1 reveals an exceptionally influential Twitter presence with 989,762 followers. The account demonstrates a content-creator strategy, averaging 6,227.5 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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