𝙹𝙾𝚂𝙷𝚈
Founder @tastesalud
83,210
Followers
1,242
Following
4,337
Tweets
218.6
Avg Engagement
147
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @joshleyva'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:2009-05-01
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,191
- Avg Likes per Tweet:108.3
- Avg Retweets per Tweet:110.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,191 tweetsJoshleyva's tweets typically receive around 2,130 likes and 575 retweets on average, indicating a strong and active engagement from their followers. Their content is well-received and often shared.
108.3
Avg Likes/Tweet
110.3
Avg Retweets/Tweet
345,545
Total Likes
351,973
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
14
Median Retweets
209
75th Percentile
166,382
Top Tweet
2.63
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
65.3%
Original
26.3%
Replies
6.8%
Retweets
1.7%
Quotes
0.0%
Threads
0.3%
With Media
33.8%
With Links
21.2%
With #Tags
52.1%
With @Mentions
26.4%
With Emojis
76
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.8%
Weekday Posts
22.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,191 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 216 retweets (7% 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 3,191 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 followersTheir audience appears to be young adults interested in humor, lifestyle, and relatable content. They engage with a mix of casual and emotional topics, appealing to a broad demographic.
Good
Audience Quality
18.4%
Suspicion Index
23.2%
Low-Quality %
59
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.1%
Empty Bio
16.1%
<10 Tweets
9.7%
Mass Following (>2K)
0.0%
New (<90 days)
39.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
10.2%
<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.
32,926,046
Total Potential Reach
59
Median Follower Reach
229
75th Percentile Reach
5.3%
>1K followers
0.9%
>10K followers
0.4%
>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).
67.9%
Creators
6,788 accounts
16.0%
Consumers
1,602 accounts
16.1%
Dormant
1,610 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):
35
Verified Followers
0.35% of total
2,073
Protected Accounts
20.73% 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 |
|---|---|---|---|
| @JohnCena | 14,097,087 | Wrestler | Wrestling, Motivation, Self-promotion |
| @benlandis | 2,836,013 | - | - |
| @KameronBennett | 1,818,458 | DJ | Music, DJing, Booking |
| @JDaIey | 1,245,787 | - | - |
| @CrawfordCollins | 1,068,189 | Influencer | None |
| @freddyleyva | 878,625 | Influencer | Music, Fashion, Lifestyle |
| @NOH8Campaign | 799,144 | Activism | equality, bullying, discrimination |
| @Laura88Lee | 540,722 | Influencer | beauty, makeup, lifestyle |
| @Simonna | 504,505 | Actress | Film & TV, Singer, Veggie lover |
| @LindseyStirling | 483,071 | Musician | Music, Violin, Dance |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,385
Followers With Bio
3,615
Followers Without Bio
63.85%
% With Bio
36.15%
% 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 3,191 analyzed255,609
Combined Engagement
10,185
Total Likes
245,424
Total Retweets
51,122
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @IAmSteveHarvey: Merry Easter y'all! 🎄🎄🎄 https://t.co/Z6Xjj5Ehqg
RT @TheNotoriousMMA: I get fined more than these bums get paid
RT @coreylabarrie: Nothing’s guaranteed in this life, go out and live every day like it’s your last! Spread nothing but love and positivity ❤️
RT @LilTunechi: Kobe forever.
When I text you “🍕” it means let me get a pizza dat ass
Key Insights & Takeaways
Joshleyva uses emojis and slang to create a casual, relatable tone. Their tweets often include personal anecdotes or emotional messages, such as tributes. They frequently link to other accounts or content, suggesting a networked approach to engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 83,210
- + 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 @joshleyva reveals an well-established Twitter presence with 83,210 followers. The account demonstrates a content-creator strategy, averaging 218.6 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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