KIERA
cringe + ratio
115,637
Followers
453
Following
19,317
Tweets
811.8
Avg Engagement
175
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kierabridget'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:2014-05-26
- Verification:No
- Location:London / LA
Data Summary
- Tweets Analyzed:3,170
- Avg Likes per Tweet:420.5
- Avg Retweets per Tweet:391.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,170 tweetsTheir tweets receive high engagement, with an average of 11,295 likes and 561 retweets per post, indicating a strong and active community.
420.5
Avg Likes/Tweet
391.3
Avg Retweets/Tweet
1,333,138
Total Likes
1,240,314
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
192
Median Likes
5
Median Retweets
602
75th Percentile
202,450
Top Tweet
7.02
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
42.3%
Original
48.0%
Replies
7.0%
Retweets
2.6%
Quotes
0.0%
Threads
0.5%
With Media
21.2%
With Links
1.4%
With #Tags
56.5%
With @Mentions
17.3%
With Emojis
71
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.13
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,170 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 223 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 3,170 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 followersThe audience appears to be young adults and teenagers interested in relatable content and social justice topics.
Average
Audience Quality
31.7%
Suspicion Index
41.3%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.3%
Empty Bio
42.1%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
65.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
29.2%
<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.
8,914,127
Total Potential Reach
15
Median Follower Reach
60
75th Percentile Reach
2.2%
>1K followers
0.5%
>10K followers
0.3%
>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).
35.1%
Creators
3,510 accounts
22.8%
Consumers
2,277 accounts
42.1%
Dormant
4,213 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):
61
Verified Followers
0.61% of total
1,445
Protected Accounts
14.45% of total
3 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 |
|---|---|---|---|
| @larray | 1,355,200 | Influencer | Cool, Sexy, Humble |
| @NOH8Campaign | 799,042 | Activism | equality, bullying, discrimination |
| @hannahxxrose | 745,419 | Gamer | roses, minecraft, GFuelEnergy |
| @Jidion6 | 682,587 | - | - |
| @LeahAshe | 524,732 | Gamer | Gaming, Fashion, Business |
| @iamsannay | 365,219 | YouTuber | Gaming, Vlogs, Lifestyle |
| @StokeyyG2 | 350,249 | - | - |
| @VidCon | 338,379 | Event Organizer | Online creators, magic, VidCon |
| @Class | 302,348 | Influencer | Viperous, Business, KomradeKittens |
| @KristenKindle | 265,649 | Author | Books, Travel, Gardening |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,672
Followers With Bio
5,328
Followers Without Bio
46.72%
% With Bio
53.28%
% 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 3,170 analyzed799,894
Combined Engagement
0
Total Likes
799,894
Total Retweets
159,979
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @ZackBornstein: Finally some good news, scientists discovered a treatment that can reduce COVID19 transmission by 70%, and its just a piece a cloth you wear in front of your dumb fucking face
RT @ladygaga: What’s fortnight
RT @dirty_haz: don't act cute we know what you did bitch https://t.co/D76tckcD9u
RT @madz1426: “I have a breathing problem” lol wear a mask karen 🥰 https://t.co/gWV9XhCis4
RT @phoebej_: HOW YOU GOING SILENT FOR BLACKOUT TUESDAY WHEN YOU WERENT VOCAL TO BEGIN WITH
Key Insights & Takeaways
They often use personal stories to highlight broader social issues. Their content is a mix of humor, vulnerability, and critique of societal norms. They engage with their audience through relatable and emotionally charged posts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 115,637
- + High community engagement through conversations
- + 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 @Kierabridget reveals an well-established Twitter presence with 115,637 followers. The account demonstrates a conversation-first approach, averaging 811.8 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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