Algee Smith
92,229
Followers
1,128
Following
21,437
Tweets
576.8
Avg Engagement
179
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itsAlgee'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:2010-05-01
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,061
- Avg Likes per Tweet:322.6
- Avg Retweets per Tweet:254.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,061 tweetsThe account has high average likes and retweets, suggesting a highly engaged audience. Their tweets often spark emotional and social conversations, contributing to their strong engagement metrics.
322.6
Avg Likes/Tweet
254.2
Avg Retweets/Tweet
987,457
Total Likes
778,020
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
6
Median Retweets
209
75th Percentile
337,178
Top Tweet
6.25
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
41.6%
Original
6.5%
Replies
28.0%
Retweets
23.8%
Quotes
0.0%
Threads
0.2%
With Media
57.8%
With Links
30.0%
With #Tags
45.7%
With @Mentions
50.0%
With Emojis
74
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,061 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 857 retweets (28% 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 3,061 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 audience appears to be primarily fans of the show Euphoria and individuals interested in discussions around Black women's experiences. They likely engage with content that resonates emotionally and socially.
Average
Audience Quality
29.1%
Suspicion Index
34.4%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.8%
Empty Bio
41.2%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
65.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
31.0%
<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.
17,508,712
Total Potential Reach
8
Median Follower Reach
66
75th Percentile Reach
3.6%
>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).
39.2%
Creators
3,919 accounts
19.6%
Consumers
1,962 accounts
41.2%
Dormant
4,119 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):
23
Verified Followers
0.23% of total
1,780
Protected Accounts
17.8% 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 | 14,093,335 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wefollowbackd | 456,507 | Football Blogger | Football, News, Sport |
| @iamprincekash | 408,539 | - | - |
| @amarigoldd | 212,397 | Adult Entertainer | Anal, Booking, OnlyFans |
| @tamalajones | 187,832 | Actress | Actress, Comedy, Drama |
| @AmyTaylorNYC | 122,489 | - | - |
| @RonDiasTV | 117,142 | Filmmaker | Films, Representation, People of Color |
| @blondeboygee | 40,109 | - | - |
| @KinoLorber | 37,628 | - | - |
| @alanldn19 | 34,911 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,219
Followers With Bio
3,781
Followers Without Bio
62.19%
% With Bio
37.81%
% 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 3,061 analyzed932,209
Combined Engagement
553,761
Total Likes
378,448
Total Retweets
186,442
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
We were better for each other #Mckay & #Cassie #Euphoria https://t.co/KTdag4whvt
RT @5foot2shawty: I beg everyone just retweet this, domestic abuse has gone up by 49%. https://t.co/7kzfdxBAXE
Who knew?…. 😒😒💔 #Mckay #Euphoria https://t.co/gNUwegpwLy
RT @angiecthomas: For over 10 days now, around half the residents of Jackson, Mississippi have not had running water. And nobody is talking about it on a national scale. I am begging the national media to please pay attention. There is a crisis happening in Jackson.
RT @TheHateUGive: Find your voice, change the world. Based on the #1 New York Times bestseller, #TheHateUGive is in theaters October 19. https://t.co/Oj0WnPpXBD
Key Insights & Takeaways
The user is deeply involved in the Euphoria fandom, particularly with characters McKay and Cassie. They express strong emotional support for Black women, emphasizing appreciation and love. Their content often blends personal reflection with social commentary.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 92,229
- + 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 @itsAlgee reveals an well-established Twitter presence with 92,229 followers. The account demonstrates a content-creator strategy, averaging 576.8 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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