THEShadyDOWNDON
I AM THE REAL SHADE ROOM
508.816
Followers
24.493
Following
48.829
Tweets
55,1
Avg Engagement
898
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Theshadydowndon'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:2011-01-18
- Verification:No
- Location:*DC | Maryland | Virginia*
Data Summary
- Tweets Analyzed:3.055
- Avg Likes per Tweet:29,0
- Avg Retweets per Tweet:26,0
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.055 tweetsTheir tweets typically receive high engagement, with an average of 1,698 likes and 186 retweets per post.
29,0
Avg Likes/Tweet
26,0
Avg Retweets/Tweet
88.696
Total Likes
79.561
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
30
75th Percentile
51.270
Top Tweet
0,11
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
28,2%
Original
11,3%
Replies
43,3%
Retweets
17,2%
Quotes
0,0%
Threads
0,2%
With Media
50,2%
With Links
35,7%
With #Tags
68,1%
With @Mentions
28,1%
With Emojis
90
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,4
Reply/Original Ratio
0,4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,3%
Weekday Posts
24,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.055 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 1.324 retweets (43% 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 3.055 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 appears to be a mix of fans and celebrity followers, with a focus on personal and celebratory content.
Average
Audience Quality
27,4%
Suspicion Index
28,8%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41,1%
Empty Bio
28,0%
<10 Tweets
11,3%
Mass Following (>2K)
0,0%
New (<90 days)
66,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,7%
No URL
16,4%
<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.
29.126.852
Total Potential Reach
21
Median Follower Reach
86
75th Percentile Reach
3,2%
>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).
42,8%
Creators
21.420 accounts
29,2%
Consumers
14.592 accounts
28,0%
Dormant
13.988 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):
321
Verified Followers
0.32% of total
13.838
Protected Accounts
13.7% of total
7 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 |
|---|---|---|---|
| @DJPaulyD | 3.605.320 | DJ | Music, DJing, Booking |
| @BET | 2.773.817 | Entertainment | TV shows, entertainment, music |
| @6BillionPeople | 2.036.512 | - | - |
| @KameronBennett | 1.812.618 | DJ | Music, DJing, Booking |
| @TameraMowryTwo | 1.682.092 | Entertainer | Family, Acting, Faith |
| @MsJoseline | 1.305.911 | Singer | Singer, Cabaret, YouTube |
| @CSuiteConfess | 1.004.988 | Executive Coach | #MeToo, Executives, Navigating |
| @PhaedraParks | 964.643 | Attorney | Southern belle, mommy, lifestyle guru |
| @rogerhamilton | 928.927 | Entrepreneur | education, entrepreneurship, futurism |
| @MilesSTEREOS | 861.592 | Musician | Guitarist, Writer, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58.655
Followers With Bio
42.343
Followers Without Bio
58.08%
% With Bio
41.92%
% 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 3.055 analyzed63.567
Combined Engagement
11.532
Total Likes
52.035
Total Retweets
12.713
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @standupdan: Me quarantined with my parents watching sex scenes. Take me now, COVID. #QuaratineLife https://t.co/hDgNE0oqKL
https://t.co/OWGgoNDMSG
HAPPY BIRTHDAY to my Beautiful sister @towandabraxton!!!!!! Looking like a snack!!!!! Enjoy your day Umba!!!!! https://t.co/q0XveYPI26
Yyeeeeessss!!! Huuunnniii!!! It’s my BIRTHDAY!!!! 🎊🎂🎉Thank you LORD for another year !!! @BFV_WEtv @WEtv https://t.co/ubYYwLs66K
Wow!!!!! So proud of my big sis @tonibraxton 💗💗💗💗 Yep she Paved the way for (me) to be where I am today!!!! Thank you T. #BFV
Key Insights & Takeaways
They often share personal milestones and celebrate family members, indicating a focus on personal connections. Their content includes interactions with celebrities and media outlets, suggesting a public persona. They maintain a consistent level of engagement, which may be due to their active and relatable posting style.
Strengths
- + Established follower base of 508.816
- + 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 @Theshadydowndon reveals an growing Twitter presence with 508.816 followers. The account demonstrates a content-creator strategy, averaging 55,1 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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