Queen Sugar
@Ava's acclaimed series #QUEENSUGAR. Watch new episodes Tuesdays at 8|7c on @OWNTV.
96,741
Followers
213
Following
14,986
Tweets
60.3
Avg Engagement
249
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @QueenSugarOWN'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: Mid-Tier (10K+)
- Account Age:2015-11-10
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,194
- Avg Likes per Tweet:46.6
- Avg Retweets per Tweet:13.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,194 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The engagement is further supported by the promotion of major events and milestones, which drive user activity.
46.6
Avg Likes/Tweet
13.7
Avg Retweets/Tweet
148,807
Total Likes
43,691
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
59
75th Percentile
7,169
Top Tweet
0.62
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
32.4%
Original
50.4%
Replies
15.1%
Retweets
2.0%
Quotes
0.0%
Threads
0.4%
With Media
42.6%
With Links
91.6%
With #Tags
64.5%
With @Mentions
28.4%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.56
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
95.6%
Weekday Posts
4.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,194 tweetsContent Type Distribution
Content Breakdown
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 483 retweets (15% 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 3,194 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 10,000 followersThe primary audience consists of fans of the show and viewers who follow the series' progress. The account also attracts attention from media and entertainment professionals due to its association with the NAACP Image Awards.
Average
Audience Quality
27.8%
Suspicion Index
26.1%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.7%
Empty Bio
23.6%
<10 Tweets
23.7%
Mass Following (>2K)
0.0%
New (<90 days)
60.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.5%
No URL
14.5%
<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.
25,407,704
Total Potential Reach
55
Median Follower Reach
202
75th Percentile Reach
5.9%
>1K followers
0.8%
>10K followers
0.3%
>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).
53.3%
Creators
5,330 accounts
23.1%
Consumers
2,313 accounts
23.6%
Dormant
2,357 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):
82
Verified Followers
0.82% of total
1,084
Protected Accounts
10.84% 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 |
|---|---|---|---|
| @JohnCena | 14,092,980 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,330,765 | Restaurateur | Food, Travel, Influencer |
| @djsbu | 1,046,300 | Entrepreneur | Investor, Hustler, Finance |
| @NOH8Campaign | 799,027 | Activism | equality, bullying, discrimination |
| @iownjd | 771,860 | Lawyer | learn, inspire, engage |
| @IamMzilikazi | 550,284 | Musician | Pan-African music, Album, Rise |
| @DanceMomHolly | 548,420 | Educator | Dance, Education, Motherhood |
| @THE_THEO_FORD | 472,614 | - | - |
| @IamTabithaBrown | 304,586 | Actress | Actress, Vegan Foodie, Mom |
| @FarrahGray_ | 197,471 | Entrepreneur | Entrepreneurship, Authorship, Media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,234
Followers With Bio
3,766
Followers Without Bio
62.34%
% With Bio
37.66%
% 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 3,194 analyzed18,321
Combined Engagement
4,283
Total Likes
14,038
Total Retweets
3,664
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @kofi: https://t.co/DnVcqLD3gf
RT @BiancaLawson: ♥️ https://t.co/OdWDS95kxm
Happy Birthday to our QUEEN @ava 👑 — your #QUEENSUGAR family hopes you have a marvelous birthday! 🖤 https://t.co/He8p4LTIe4
WE WON! #NAACPImageAwards 🙌🏾 https://t.co/FdAmfmleoA
What a great way to close out the season. We are already thinking about #QUEENSUGAR Season 6! Thanks for watching with us, East Coast! https://t.co/d7B8Wgc2aL
Key Insights & Takeaways
The account effectively leverages major awards and milestones to boost engagement and visibility. It maintains a consistent posting schedule, which helps in keeping the audience engaged and informed. The use of hashtags and links to official content enhances the reach and credibility of the account.
Strengths
- + Established follower base of 96,741
- + 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 @QueenSugarOWN reveals an growing Twitter presence with 96,741 followers. The account demonstrates a conversation-first approach, averaging 60.3 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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