Hayley Orrantia
Actress - The Goldbergs (ABC) • SingerSongwriter • gasoline II - available now
83,909
Followers
1,048
Following
12,456
Tweets
128.2
Avg Engagement
375
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @hayleyorrantia'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:2009-03-08
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,148
- Avg Likes per Tweet:88.7
- Avg Retweets per Tweet:39.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,148 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in her content.
88.7
Avg Likes/Tweet
39.5
Avg Retweets/Tweet
279,071
Total Likes
124,471
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
3
Median Retweets
107
75th Percentile
57,519
Top Tweet
1.53
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
37.2%
Original
29.8%
Replies
19.5%
Retweets
13.5%
Quotes
0.0%
Threads
0.6%
With Media
52.4%
With Links
32.7%
With #Tags
71.1%
With @Mentions
40.9%
With Emojis
108
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.8
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.1%
Weekday Posts
17.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,148 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 613 retweets (19% 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 3,148 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 acting roles and music, as well as followers interested in her personal life and career milestones.
Average
Audience Quality
23.2%
Suspicion Index
24.9%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.4%
Empty Bio
15.0%
<10 Tweets
16.7%
Mass Following (>2K)
0.0%
New (<90 days)
54.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
9.3%
<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.
25,773,597
Total Potential Reach
52
Median Follower Reach
177
75th Percentile Reach
5.0%
>1K followers
0.6%
>10K followers
0.2%
>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).
66.5%
Creators
6,651 accounts
18.5%
Consumers
1,848 accounts
15.0%
Dormant
1,501 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):
62
Verified Followers
0.62% of total
1,346
Protected Accounts
13.46% 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 | 14,097,139 | Wrestler | Wrestling, Motivation, Self-promotion |
| @THR | 3,454,416 | Entertainment News | Entertainment, News, Reviews |
| @JanelParrish | 1,205,178 | Actress | Actress, Singer, Beauty |
| @kenjeong | 1,004,789 | Comedian | Fart jokes, science, public health |
| @THE_THEO_FORD | 472,941 | - | - |
| @zammit_marc | 386,334 | Filmmaker | Film, Acting, Producing |
| @David_Leavitt | 348,884 | - | - |
| @MaskedSingerFOX | 339,754 | Entertainment | Singing, Mystery, TV Show |
| @robtswthrayguns | 257,998 | Inventor | synthwave, NFT, NSFW |
| @OMFGITSOSCAR | 168,507 | DJ/Producer | Music, Slytherin, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,960
Followers With Bio
4,040
Followers Without Bio
59.6%
% With Bio
40.4%
% 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 3,148 analyzed94,375
Combined Engagement
3,641
Total Likes
90,734
Total Retweets
18,875
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @LVMPD: For families looking to locate missing loved ones, please call 1-866-535-5654.
RT @OfficialMLK3: My father said, “A riot is the language of the unheard. And what is it America has failed to hear? ...It has failed to hear that the promises of freedom and justice have not been met."
RT @marshmellomusic: The worst part of online shopping is having to go get your wallet
RT @ThePerezHilton: Dear non-black people, STOP DOING THIS! https://t.co/x98ACcJfJv
ITS OFFICIAL! The Goldbergs is back on ABC for Season 7!!!!!!! I can’t wait to be with my family again💜
Key Insights & Takeaways
She frequently shares personal milestones and relationship updates, which resonate well with her audience. Her engagement is high, suggesting a loyal and active fan base. She uses emotional and heartfelt language, which helps build a strong connection with her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 83,909
- + 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 @hayleyorrantia reveals an well-established Twitter presence with 83,909 followers. The account demonstrates a content-creator strategy, averaging 128.2 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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