oscarwylde
DJ • Producer
164,864
Followers
5,070
Following
25,790
Tweets
325.7
Avg Engagement
268
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OMFGITSOSCAR'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:2011-04-23
- Verification:No
- Location:Las Vegas, NV
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:298.6
- Avg Retweets per Tweet:27.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsThe account consistently receives high engagement, indicating a loyal and active fan base. Their tweets often include links to media, suggesting a focus on sharing content and experiences.
298.6
Avg Likes/Tweet
27.1
Avg Retweets/Tweet
967,732
Total Likes
87,980
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
130
Median Likes
2
Median Retweets
334
75th Percentile
19,096
Top Tweet
1.98
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
54.5%
Original
41.4%
Replies
1.8%
Retweets
2.3%
Quotes
0.0%
Threads
0.3%
With Media
40.1%
With Links
0.7%
With #Tags
43.4%
With @Mentions
60.4%
With Emojis
106
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.76
Reply/Original Ratio
1.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 58 retweets (2% 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 3,241 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 appears to be interested in music, entertainment, and internet culture. They engage with content that is lighthearted and often includes memes or viral moments.
Average
Audience Quality
30.1%
Suspicion Index
34.4%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.7%
Empty Bio
28.3%
<10 Tweets
20.8%
Mass Following (>2K)
0.0%
New (<90 days)
62.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
20.2%
<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.
64,434,686
Total Potential Reach
37
Median Follower Reach
165
75th Percentile Reach
6.7%
>1K followers
1.5%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.8%
Creators
26,375 accounts
19.0%
Consumers
9,494 accounts
28.3%
Dormant
14,131 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):
479
Verified Followers
0.47% of total
18,718
Protected Accounts
18.53% 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 | 14,100,527 | Wrestler | Wrestling, Motivation, Self-promotion |
| @shanedawson | 8,196,246 | YouTuber | Merchandise, YouTube, Comedy |
| @LoganPaul | 6,809,823 | Influencer | Vlogging, Comedy, Fitness |
| @NBCTheVoice | 4,945,934 | Singing | Music, Singing, Competition |
| @tanamongeau | 2,477,543 | Influencer | Reality TV, YouTube, Controversy |
| @NikitaDragun | 2,007,585 | Influencer | beauty, fashion, LGBTQ+ |
| @nikidemar | 1,649,249 | Influencer | Fashion, Beauty, Music |
| @Jev | 1,597,057 | Gamer | Gaming, FaZe Clan, Energy Drinks |
| @JASMINEVILLEGAS | 1,544,412 | Singer | Music, Dreaming, Life |
| @MannyMua733 | 1,479,931 | Influencer | Makeup, Beauty, LGBTQ+ |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,934
Followers With Bio
49,058
Followers Without Bio
51.42%
% With Bio
48.58%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,241 analyzed45,545
Combined Engagement
41,377
Total Likes
4,168
Total Retweets
9,109
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Lmfaoooooo @LoganPaul https://t.co/2CcAzj5wVX
Happy birthday Weed! 🍃 https://t.co/PNzJnhhtLJ
Since twitters broke here’s some free cake. (Headphones recommended 🎧💦) https://t.co/2KmxBB9DfM
I want to play a game…. https://t.co/fWpbTNuMXK
One more like on this photo and I will “GUT you like a fish…” 👻💦🔪 https://t.co/2MAb8PRj0G
Key Insights & Takeaways
The account frequently interacts with popular figures like Logan Paul, indicating a focus on trending and viral content. Their tweets often include multimedia links, suggesting a preference for sharing audio or visual content. They use humor and casual language, which likely contributes to their high engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 164,864
- + 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 @OMFGITSOSCAR reveals an well-established Twitter presence with 164,864 followers. The account demonstrates a content-creator strategy, averaging 325.7 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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