connor Wood
🚣♀️IG @ fibula pod @bncmap
96,038
Followers
367
Following
2,734
Tweets
1,359.1
Avg Engagement
43
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fibulaa'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:2020-08-06
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:933.7
- Avg Retweets per Tweet:425.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 599 tweetsFibulaa's tweets are highly engaging, with a strong average number of likes and retweets. Her content is likely to resonate with her followers due to its relatable and thought-provoking nature.
933.7
Avg Likes/Tweet
425.4
Avg Retweets/Tweet
559,271
Total Likes
254,816
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
67
Median Likes
0
Median Retweets
920
75th Percentile
69,591
Top Tweet
14.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
23.4%
Original
67.8%
Replies
4.0%
Retweets
4.8%
Quotes
0.0%
Threads
0.3%
With Media
14.4%
With Links
0.0%
With #Tags
63.6%
With @Mentions
3.8%
With Emojis
58
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.9
Reply/Original Ratio
1.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.8%
Weekday Posts
15.2%
Weekend Posts
Most Mentioned
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Content Strategy Analysis
Based on 599 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 24 retweets (4% 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 599 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 50,000 followersHer audience appears to be interested in personal stories, social commentary, and content that sparks discussion. The mention of Austin and other topics suggests a focus on lifestyle and current events.
Good
Audience Quality
13.3%
Suspicion Index
23.7%
Low-Quality %
114
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.9%
Empty Bio
13.8%
<10 Tweets
3.2%
Mass Following (>2K)
0.0%
New (<90 days)
23.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.1%
No URL
9.5%
<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.
51,104,819
Total Potential Reach
114
Median Follower Reach
294
75th Percentile Reach
3.4%
>1K followers
0.5%
>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).
72.4%
Creators
36,222 accounts
13.7%
Consumers
6,874 accounts
13.8%
Dormant
6,904 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):
411
Verified Followers
0.44% of total
28,590
Protected Accounts
30.51% 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 | 14,105,719 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AndreaRussett | 6,805,655 | Influencer | Music, Freezing, Entertainment |
| @whoisaddison | 4,846,310 | - | - |
| @BurgerKing | 2,040,312 | Fast Food | Fast Food, Flame-Grilled, Established |
| @codyko | 1,929,894 | Comedian | comedy, podcasting, music |
| @CaucasianJames | 1,518,044 | Influencer | Basketball, Fitness, Fashion |
| @todderic_ | 1,189,953 | Influencer | Snapchat, |-/, Handsome |
| @kurtisconner | 1,046,616 | Comedian | comedy, email, website |
| @thenoelmiller | 833,133 | - | - |
| @ZachBoychuk | 830,515 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,414
Followers With Bio
34,278
Followers Without Bio
63.41%
% With Bio
36.59%
% 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 599 analyzed193,988
Combined Engagement
68,953
Total Likes
125,035
Total Retweets
38,798
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @hm_liyah: i kinda like people who trauma dump idk. idc if i just met u 30 mins ago tell me why ur mom lost custody of u i’m curious
https://t.co/BFtG5fiQxW
Men used to fight wars now they just move to austin
RT @anniierau: one time in college a professor spent 90 minutes talking about an example scenario that involved beef and i thought nothing…
RT @makeupaguy: guy who pronounces the meow in homeowner
Key Insights & Takeaways
Her top tweets include a link to a podcast and a comment on societal changes, indicating her interest in sharing diverse content. She often references personal experiences, which may contribute to her high engagement. Her use of links suggests she promotes other platforms or content beyond Twitter.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 96,038
- + 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 @fibulaa reveals an exceptionally influential Twitter presence with 96,038 followers. The account demonstrates a conversation-first approach, averaging 1,359.1 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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