Gibson Johns
Is this thing on? Probably live tweeting Real Housewives // LISTEN TO MY NEW PODCAST! https://podcasts.apple.com/us/podcast/gabbing-with-gib/id1711793555
60,356
Followers
1,475
Following
32,956
Tweets
1,129.2
Avg Engagement
117
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gibsonoma'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:2011-01-06
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:3,221
- Avg Likes per Tweet:385.9
- Avg Retweets per Tweet:743.3
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,221 tweetsThe account has a high engagement rate, with an average of 23k likes and 1.8k retweets per tweet. This suggests a dedicated and active audience that interacts frequently with the content.
385.9
Avg Likes/Tweet
743.3
Avg Retweets/Tweet
1,243,035
Total Likes
2,394,173
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
10
Median Retweets
581
75th Percentile
167,710
Top Tweet
18.71
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
22.2%
Original
32.0%
Replies
35.2%
Retweets
10.6%
Quotes
0.0%
Threads
0.9%
With Media
55.8%
With Links
41.3%
With #Tags
63.8%
With @Mentions
17.2%
With Emojis
113
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.44
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
92.6%
Weekday Posts
7.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,221 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 1,135 retweets (35% 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 3,221 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 followersThe audience is likely fans of reality TV, especially The Real Housewives franchise, and listeners of podcasts. They are interested in entertainment news and commentary.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
100.0%
<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.
8,944,042
Total Potential Reach
45
Median Follower Reach
190
75th Percentile Reach
6.1%
>1K followers
1.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
1,494
Protected Accounts
14.94% of total
6 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 |
|---|---|---|---|
| @WhatsTrending | 886,467 | News Outlet | DAILY, SOCIAL, NEWS |
| @MaggieHeroDog | 403,165 | Service Dog | Golf, Music, Service Dogs |
| @EvanKirstel | 350,218 | Tech Influencer | Tech, B2B, Social media |
| @scheana | 340,503 | Reality TV Star | Reality TV, LGBTQ+, Influencer |
| @kgchristopher | 276,231 | Actress | Acting, Voiceover, Education |
| @angelinamtvjs | 270,677 | Reality TV Star | Reality TV, Beauty, Pets |
| @HayekMG | 222,313 | Strategic Advisor | Tech, Media, Telecom |
| @Divathebawse | 214,125 | - | - |
| @OliviaAustinxxx | 176,484 | Adult Entertainer | Adult entertainment, Actress, Model |
| @helen | 159,510 | Writer | writing, literature, creativity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,078
Followers With Bio
4,922
Followers Without Bio
50.78%
% With Bio
49.22%
% 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 3,221 analyzed479,742
Combined Engagement
132,549
Total Likes
347,193
Total Retweets
95,948
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @taylorswift13: Crying (Taylor’s Version) https://t.co/hVPrQuRAkH
Kourtney’s pregnancy announcement is honestly the best Kardashian stunt in years https://t.co/Oo8kS7YC9U
RT @rihanna: my perfect baby!!! @britishvogue @inezandvinoodh https://t.co/xvjjOfaU8N
RT @PopCulture2000s: ANNE HATHAWAY 🥵 https://t.co/vsRiXI48ui
This cover looks like it’s from 1997 and I mean that in the best way possible https://t.co/Xjp0ibtpcO
Key Insights & Takeaways
The user frequently comments on reality TV events and celebrity news, indicating a strong interest in entertainment and gossip. They promote their podcast, suggesting they are building a personal brand and audience beyond Twitter. Their top tweets highlight a preference for humor, nostalgia, and dramatic moments in pop culture.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,356
- + 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 @gibsonoma reveals an exceptionally influential Twitter presence with 60,356 followers. The account demonstrates a conversation-first approach, averaging 1,129.2 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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