86,748
Followers
410
Following
1,157
Tweets
2,727.5
Avg Engagement
275
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KealiaOhai'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:2012-08-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,132
- Avg Likes per Tweet:441.9
- Avg Retweets per Tweet:2,285.6
- Followers Analyzed:9,998
Engagement Analysis
Based on 1,132 tweetsThe account has a high average number of likes and retweets, indicating strong interaction with their content. The engagement is mostly concentrated on personal and emotional posts.
441.9
Avg Likes/Tweet
2,285.6
Avg Retweets/Tweet
500,232
Total Likes
2,587,262
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
6
Median Retweets
150
75th Percentile
1,937,769
Top Tweet
31.44
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
37.3%
Original
24.7%
Replies
31.0%
Retweets
7.0%
Quotes
0.0%
Threads
0.4%
With Media
45.0%
With Links
31.4%
With #Tags
76.4%
With @Mentions
35.0%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.66
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.8%
Weekday Posts
32.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,132 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 351 retweets (31% 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 1,132 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 9,998 followersKealiaOhai's audience appears to be primarily interested in personal updates and emotional content. The engagement is largely directed towards specific individuals, suggesting a targeted following.
Average
Audience Quality
21.7%
Suspicion Index
26.7%
Low-Quality %
72
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.3%
Empty Bio
14.9%
<10 Tweets
15.6%
Mass Following (>2K)
0.0%
New (<90 days)
45.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
9.2%
<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.
23,847,521
Total Potential Reach
72
Median Follower Reach
225
75th Percentile Reach
5.7%
>1K followers
0.8%
>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).
67.2%
Creators
6,722 accounts
17.9%
Consumers
1,787 accounts
14.9%
Dormant
1,489 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):
108
Verified Followers
1.08% of total
1,477
Protected Accounts
14.77% 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 | 14,097,169 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RexChapman | 1,253,670 | Commentator | Basketball, Horse racing, Commentary |
| @BurnleyOfficial | 782,006 | Football Club | Football, Turf Moor, #OneClubForAll |
| @NBCSportsSoccer | 644,415 | Sports Media | Premier League, Soccer, NBCSN |
| @CalvinHelin | 582,941 | Author | empowerment, responsibility, self-reliance |
| @alexisohanian | 547,036 | Entrepreneur | Soccer, Gaming, Business |
| @miketirico | 542,793 | Sports Broadcaster | Sports, Syracuse, NBC Sports |
| @PLinUSA | 271,935 | Sports Media | soccer, premier league, fans |
| @petenajarian | 219,559 | Analyst | Trading, Football, Broadcasting |
| @ifindkarma | 216,318 | Advocate | compassion, kindness, giving |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,575
Followers With Bio
4,425
Followers Without Bio
55.75%
% With Bio
44.25%
% 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 1,132 analyzed2,215,395
Combined Engagement
39,001
Total Likes
2,176,394
Total Retweets
443,079
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @chadwickboseman: https://t.co/aZ2JzDf5ai
RT @ChapecoenseReal: https://t.co/uvxe0jm1kA
RT @Nike: Mamba Forever. (sound on) https://t.co/B2LUIcpRCc
RT @theweeknd: there is beauty behind this madness
The best day of my life❤️ I love you forever @JJWatt @CorbinGurkin https://t.co/fPplBLKX3B
Key Insights & Takeaways
The user frequently shares personal milestones and emotional expressions, which likely drive engagement. They have a strong connection with specific individuals, such as @JJWatt and @CorbinGurkin, which may contribute to their high engagement rates. Their content often includes personal affirmations and emotional declarations, which resonate with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 86,748
- + 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 @KealiaOhai reveals an exceptionally influential Twitter presence with 86,748 followers. The account demonstrates a content-creator strategy, averaging 2,727.5 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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