121,895
Followers
214
Following
3,746
Tweets
2,420.1
Avg Engagement
49
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EmilConrad'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:2009-08-21
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,060
- Avg Likes per Tweet:34.1
- Avg Retweets per Tweet:2,385.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,060 tweetsEmil Conrad's tweets receive an average of 2,421 likes and 214 retweets, indicating a strong but not overwhelming level of interaction.
34.1
Avg Likes/Tweet
2,385.9
Avg Retweets/Tweet
104,450
Total Likes
7,300,996
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
24
75th Percentile
548,311
Top Tweet
19.85
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
34.8%
Original
48.5%
Replies
10.4%
Retweets
6.3%
Quotes
0.0%
Threads
1.0%
With Media
24.3%
With Links
1.5%
With #Tags
69.7%
With @Mentions
42.5%
With Emojis
93
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.39
Reply/Original Ratio
0.61
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.1%
Weekday Posts
26.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,060 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 319 retweets (10% 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 3,060 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 young and interested in pop culture, entertainment, and social media trends.
Below Average
Audience Quality
46.3%
Suspicion Index
73.2%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
73.8%
Empty Bio
84.8%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
82.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
72.5%
<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.
62,060,637
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.7%
>1K followers
0.2%
>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).
6.1%
Creators
3,071 accounts
9.1%
Consumers
4,542 accounts
84.8%
Dormant
42,387 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):
50
Verified Followers
0.05% of total
1,908
Protected Accounts
1.89% 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 |
|---|---|---|---|
| @Anitta | 19,271,911 | Singer | Music, Entertainment, Fashion |
| @JohnCena | 14,101,252 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JuanpaZurita | 8,007,648 | Influencer | Gratitud, humor, locuras |
| @AndreaRussett | 6,796,153 | Influencer | Music, Freezing, Entertainment |
| @miakhalifa | 5,445,887 | Former Adult Actress | immigrant, شيطان, 🪧 |
| @lifeaseva | 4,559,254 | Influencer | sustainability, energy, lifestyle |
| @rclbeauty101 | 3,249,033 | YouTuber | beauty, youtuber, video |
| @AnselElgort | 3,123,096 | Actor | Actor, Music, Travel |
| @tanamongeau | 2,478,666 | Influencer | Reality TV, YouTube, Controversy |
| @KingBach | 2,379,629 | Actor | Comedy, Acting, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,541
Followers With Bio
76,458
Followers Without Bio
24.3%
% With Bio
75.7%
% 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 3,060 analyzed1,766,726
Combined Engagement
0
Total Likes
1,766,726
Total Retweets
353,345
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
RT @Deecarr_: This one meme just shit on the entire planet https://t.co/51XzomcC6Y
RT @wasteIandbaby: why is this video of a sea of elementary school kids going HAM to old town road literally the funniest video i’ve ever s…
RT @amandaasette: If this isn’t in my future I don’t want it https://t.co/4vdMn6EJd5
Key Insights & Takeaways
Emil Conrad frequently references popular culture and entertainment, such as @Anitta and Euphoria. They engage with trending topics and share personal opinions on media and celebrities. Emil Conrad's content is casual and relatable, focusing on humor and everyday experiences.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 121,895
- + 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 @EmilConrad reveals an exceptionally influential Twitter presence with 121,895 followers. The account demonstrates a conversation-first approach, averaging 2,420.1 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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