Alyssa Longoria
singer + songwriter + texas • Jesus is King ✝️
106,924
Followers
7,025
Following
1,626
Tweets
56.5
Avg Engagement
1,262
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ItsAlyssaShouse'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:2010-07-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,018
- Avg Likes per Tweet:0.5
- Avg Retweets per Tweet:56.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,018 tweetsAlyssa's tweets typically receive an average of 16 likes and 35 retweets, showing moderate engagement. Her interactions often revolve around her music, faith, and personal connections.
0.5
Avg Likes/Tweet
56.0
Avg Retweets/Tweet
536
Total Likes
56,967
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
2
75th Percentile
47,710
Top Tweet
0.53
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
60.1%
Original
24.5%
Replies
15.4%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
16.1%
With Links
3.3%
With #Tags
61.4%
With @Mentions
0.3%
With Emojis
71
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
79.2%
Weekday Posts
20.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,018 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 157 retweets (15% 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 1,018 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 followersHer audience includes fans of her music, followers of her faith journey, and people interested in motivational content. They engage with her through likes, retweets, and comments.
Average
Audience Quality
20.6%
Suspicion Index
20.2%
Low-Quality %
89
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.6%
Empty Bio
18.8%
<10 Tweets
20.9%
Mass Following (>2K)
0.0%
New (<90 days)
36.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.3%
No URL
9.8%
<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.
70,068,425
Total Potential Reach
89
Median Follower Reach
360
75th Percentile Reach
10.5%
>1K followers
2.2%
>10K followers
0.9%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
57.1%
Creators
5,709 accounts
24.1%
Consumers
2,412 accounts
18.8%
Dormant
1,879 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):
53
Verified Followers
0.53% of total
1,153
Protected Accounts
11.53% of total
8 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 | 14,093,394 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,685,443 | Chef | Cooking, Food, Restaurants |
| @McDonalds | 4,756,012 | Fast Food | Fast Food, Grimace, Friendship |
| @AnselElgort | 3,110,402 | Actor | Actor, Music, Travel |
| @EzekielElliott | 2,165,455 | Athlete | Football, Running, Ohio State |
| @jakeowen | 2,065,749 | Musician | Country music, Florida, Outdoors |
| @6BillionPeople | 2,026,006 | - | - |
| @BlakeGray | 1,686,188 | Influencer | Business, United Talent |
| @iamlorengray | 1,576,513 | Influencer | Singing, Fashion, Beauty |
| @jacobsartorius | 1,538,952 | Singer | music, singer, EP |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,939
Followers With Bio
3,061
Followers Without Bio
69.39%
% With Bio
30.61%
% 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 1,018 analyzed54,582
Combined Engagement
0
Total Likes
54,582
Total Retweets
10,916
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @astros: The Houston Astros are 2022 World Champions! 🏆 https://t.co/E0K9WNmKCH
RT @justinbieber: performing at this years VMA's!!! Last year i went and no one knew who i was and this year gonna PERFORM!!! Wild!! DREAM BIG!
RT @RevRunWisdom: Life's what u make it,, quit complainin and get to makin
RT @JDior_: Never let anyone discourage you from doing what you love!! There's nothing better then doing what people say you cannot do.. #ProveThemWrong
RT @jasonderulo: I love my fans!!! You're everything to me!
Key Insights & Takeaways
She is building her presence on Twitter while maintaining her old account. She has a strong connection with her fans and often shares personal and spiritual content. Her engagement is driven by both her music and faith-based messages.
Strengths
- + Established follower base of 106,924
- + 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 @ItsAlyssaShouse reveals an growing Twitter presence with 106,924 followers. The account demonstrates a content-creator strategy, averaging 56.5 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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