Knocked Loose
Deep in the willow, everything is quiet now.
79,757
Followers
175
Following
3,614
Tweets
236.9
Avg Engagement
153
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @knockedloose'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:2014-04-28
- Verification:No
- Location:Oldham County, KY
Data Summary
- Tweets Analyzed:3,162
- Avg Likes per Tweet:195.1
- Avg Retweets per Tweet:41.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,162 tweetsTheir tweets receive high engagement, with an average of 6,240 likes and 1,276 retweets per post, indicating a dedicated and active audience.
195.1
Avg Likes/Tweet
41.8
Avg Retweets/Tweet
617,029
Total Likes
132,098
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
47
Median Likes
12
Median Retweets
225
75th Percentile
22,299
Top Tweet
2.97
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
57.1%
Original
16.3%
Replies
18.4%
Retweets
8.1%
Quotes
0.0%
Threads
1.0%
With Media
69.7%
With Links
3.4%
With #Tags
53.4%
With @Mentions
13.7%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.7%
Weekday Posts
23.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,162 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 582 retweets (18% 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 3,162 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 followersTheir audience appears to be music enthusiasts and fans of cultural commentary, likely aged 20-40.
Good
Audience Quality
16.1%
Suspicion Index
20.9%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.4%
Empty Bio
19.2%
<10 Tweets
4.6%
Mass Following (>2K)
0.0%
New (<90 days)
34.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.3%
No URL
12.3%
<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.
5,234,108
Total Potential Reach
46
Median Follower Reach
167
75th Percentile Reach
3.7%
>1K followers
0.4%
>10K followers
0.1%
>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).
61.1%
Creators
6,114 accounts
19.6%
Consumers
1,965 accounts
19.2%
Dormant
1,921 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
1,113
Protected Accounts
11.13% of total
5 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 |
|---|---|---|---|
| @coachella | 1,075,292 | Festival | Music, Arts, Festival |
| @MIWband | 494,552 | Musician | Music, Album, Band |
| @Vengenz1 | 317,149 | Musician | Avenged Sevenfold, Vengeance University, Skeletons |
| @amoebamusic | 248,609 | Record Store | music, vinyl, independent |
| @RobbieBarstool | 137,415 | Podcaster | sports, podcasting, music |
| @svddendeath | 134,468 | Musician | Music, Booking, Management |
| @imsadspice | 96,726 | Influencer | Playboy, Spice Girl, Sad |
| @PS5RestockAlert | 81,678 | Retail Notifier | Gaming, Tech, News |
| @Vernon_Go | 70,772 | Publisher | Music, Events, Publishing |
| @JorgeyOnTheBeat | 63,605 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,058
Followers With Bio
2,942
Followers Without Bio
70.58%
% With Bio
29.42%
% 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 3,162 analyzed48,344
Combined Engagement
41,643
Total Likes
6,701
Total Retweets
9,669
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
you are better than anyone in our band https://t.co/goEr0LN2BA
A Different Shade Of Bernie https://t.co/iviVZxzMVi
Rest In Power to a true legend, Riley Gale. An inspiration to all of us. Life won’t be the same without you. We will never forget. Our hearts go out to the Power Trip family. https://t.co/f2lHwGm9eX
We'll play https://t.co/VKJRfZhBoG
June 14, 2023 https://t.co/UAhqxpBkOG
Key Insights & Takeaways
They often share personal and emotional reflections, which resonate strongly with their followers. Their content frequently highlights music and cultural figures, suggesting a deep connection to the arts. They maintain a consistent and authentic voice, which helps build trust and loyalty among their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 79,757
- + 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 @knockedloose reveals an well-established Twitter presence with 79,757 followers. The account demonstrates a content-creator strategy, averaging 236.9 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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