tyler grosso
65,058
Followers
245
Following
27,487
Tweets
741.9
Avg Engagement
89
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tylergrosso'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:2012-02-02
- Verification:No
- Location:Not from 63rd
Data Summary
- Tweets Analyzed:3,100
- Avg Likes per Tweet:407.5
- Avg Retweets per Tweet:334.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,100 tweetsHis tweets receive high engagement, suggesting a loyal and active follower base. The average likes and retweets per tweet indicate a consistent level of interest and interaction.
407.5
Avg Likes/Tweet
334.4
Avg Retweets/Tweet
1,263,352
Total Likes
1,036,576
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
177
Median Likes
42
Median Retweets
715
75th Percentile
158,073
Top Tweet
11.4
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
59.2%
Original
17.7%
Replies
15.7%
Retweets
7.4%
Quotes
0.0%
Threads
0.6%
With Media
37.5%
With Links
1.4%
With #Tags
38.6%
With @Mentions
11.9%
With Emojis
58
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,100 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 486 retweets (16% 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 3,100 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 followersHis audience appears to be interested in entertainment, gossip, and humor. They engage actively with his content, indicating a strong and interactive community.
Good
Audience Quality
18.8%
Suspicion Index
22.7%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.4%
Empty Bio
21.7%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
42.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.1%
No URL
13.1%
<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.
21,947,034
Total Potential Reach
33
Median Follower Reach
153
75th Percentile Reach
4.1%
>1K followers
0.8%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.3%
Creators
5,632 accounts
22.0%
Consumers
2,199 accounts
21.7%
Dormant
2,169 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):
55
Verified Followers
0.55% of total
1,422
Protected Accounts
14.22% 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 | 14,071,331 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NOH8Campaign | 798,874 | Activism | equality, bullying, discrimination |
| @noahcyrus | 604,200 | Singer | music, debut album, artist |
| @ImKingKota | 372,474 | Gamer | gaming, twitch, gamer |
| @crackcobain__ | 268,109 | Influencer | - |
| @Pouyalilpou | 265,722 | Rapper | Music, Rap, Lifestyle |
| @HarryGoaz | 233,241 | - | - |
| @GOTHSPVTSUICIDE | 222,248 | Model | goth, model, capricorn |
| @DarbyAllin | 220,860 | Wrestler | Skateboarding, Wrestling, Art |
| @ch111oe | 215,183 | Influencer | Fashion, Beauty, Animals |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,759
Followers With Bio
3,241
Followers Without Bio
67.59%
% With Bio
32.41%
% 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 3,100 analyzed388,675
Combined Engagement
0
Total Likes
388,675
Total Retweets
77,735
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @PostMalone: my album comes out April 27
RT @xxxtentacion: baby jah 🖤 the legacy lives on 👁🗨 https://t.co/4X9dnfe2IT
RT @xxxtentacion: drake mom kinda cute, she could get it
RT @ChiefKeef: The purpose of nature is the advancement and development of life
RT @1future: Leave them ugly girls alone...
Key Insights & Takeaways
He often shares content that is controversial or humorous, which drives engagement. His tweets include links to media, suggesting he may be sharing content from other platforms. He uses emojis and casual language, which may help in building a relatable and informal tone with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 65,058
- + 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 @tylergrosso reveals an well-established Twitter presence with 65,058 followers. The account demonstrates a content-creator strategy, averaging 741.9 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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