Brooks Way
97,369
Followers
3,152
Following
8,685
Tweets
582.5
Avg Engagement
124
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @brooks_way'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:2014-02-07
- Verification:No
- Location:United Kingdom
Data Summary
- Tweets Analyzed:3,155
- Avg Likes per Tweet:350.6
- Avg Retweets per Tweet:231.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,155 tweetsThe user maintains high engagement levels, with a significant number of likes and retweets, indicating a loyal and active follower base.
350.6
Avg Likes/Tweet
231.9
Avg Retweets/Tweet
1,106,062
Total Likes
731,800
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
309
Median Likes
90
Median Retweets
557
75th Percentile
225,643
Top Tweet
5.98
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
52.0%
Original
0.8%
Replies
20.2%
Retweets
27.0%
Quotes
0.0%
Threads
1.1%
With Media
55.7%
With Links
15.2%
With #Tags
30.4%
With @Mentions
59.6%
With Emojis
79
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
1.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.6%
Weekday Posts
33.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,155 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 637 retweets (20% 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 3,155 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 content appeals to a broad audience, particularly young people and those interested in community support and social issues.
Below Average
Audience Quality
36.9%
Suspicion Index
46.7%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.2%
Empty Bio
57.6%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
76.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
43.3%
<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.
8,583,067
Total Potential Reach
4
Median Follower Reach
31
75th Percentile Reach
2.4%
>1K followers
0.5%
>10K followers
0.2%
>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).
22.7%
Creators
2,272 accounts
19.7%
Consumers
1,968 accounts
57.6%
Dormant
5,760 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):
17
Verified Followers
0.17% of total
636
Protected Accounts
6.36% 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 |
|---|---|---|---|
| @JDaIey | 1,243,935 | - | - |
| @KalaniBallFree | 1,240,770 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @CSuiteConfess | 994,893 | Executive Coach | #MeToo, Executives, Navigating |
| @THE_THEO_FORD | 472,613 | - | - |
| @djkingassassin | 467,313 | DJ | Music, Club, Producer |
| @cinematnicmusic | 244,795 | - | - |
| @gabbydawnallen | 240,326 | Influencer | Fitness, Wellness, Influencer |
| @CelebMix | 236,513 | Entertainment News | Little Mix, BTS, Harry Styles |
| @conquerer1 | 236,261 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @HarryGoaz | 234,534 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,979
Followers With Bio
5,021
Followers Without Bio
49.79%
% With Bio
50.21%
% 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 3,155 analyzed370,324
Combined Engagement
33,857
Total Likes
336,467
Total Retweets
74,065
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @Louis_Tomlinson: All the support has been incredible! Let's do this together tonight .
RT @TheRealGrimmie: Sometimes God allows terrible things to happen in your life and you don't know why. But that doesn't mean you should stop trusting Him.
RT @GMB: WATCH: @Nigel_Farage tells @susannareid100 it was a 'mistake' for Leave to claim there'd be £350M a week for NHS https://t.co/JNkl5k8IlK
2 min response time from our emergency services. Whilst we run away, they run towards. They are absolutely incredible. #LondonBridge
This night just shows no matter when evil tries breaking us, love and music will always bring people back together. #OneLoveManchester
Key Insights & Takeaways
The user emphasizes community resilience and support, especially during crises. They share motivational and emotional messages that resonate with followers. They provide practical advice for students, showing a focus on education and personal development.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,369
- + 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 @brooks_way reveals an well-established Twitter presence with 97,369 followers. The account demonstrates a content-creator strategy, averaging 582.5 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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