Faye Brookes
[email protected] https://direct.me/faye-brookes
83,282
Followers
2,395
Following
10,875
Tweets
105.9
Avg Engagement
105
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Faye_Brookes'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:2011-07-01
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:3,037
- Avg Likes per Tweet:34.6
- Avg Retweets per Tweet:71.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,037 tweetsOn average, her tweets receive a moderate number of likes and retweets, showing a balanced level of audience interaction. The engagement is likely driven by her personal and career-related content.
34.6
Avg Likes/Tweet
71.3
Avg Retweets/Tweet
105,096
Total Likes
216,410
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
47
75th Percentile
52,457
Top Tweet
1.27
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
33.8%
Original
1.0%
Replies
53.5%
Retweets
11.7%
Quotes
0.0%
Threads
8.8%
With Media
89.8%
With Links
38.1%
With #Tags
68.0%
With @Mentions
53.5%
With Emojis
140
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.5%
Weekday Posts
24.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,037 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 1,625 retweets (54% 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 3,037 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 followersHer audience appears to be primarily interested in her personal life and career updates. The engagement rates suggest a loyal and active fan base.
Average
Audience Quality
29.0%
Suspicion Index
34.7%
Low-Quality %
33
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.3%
Empty Bio
29.7%
<10 Tweets
14.7%
Mass Following (>2K)
0.0%
New (<90 days)
62.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
20.1%
<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.
9,973,608
Total Potential Reach
33
Median Follower Reach
134
75th Percentile Reach
4.8%
>1K followers
0.8%
>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).
46.7%
Creators
4,673 accounts
23.6%
Consumers
2,361 accounts
29.7%
Dormant
2,966 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):
35
Verified Followers
0.35% of total
1,324
Protected Accounts
13.24% 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 |
|---|---|---|---|
| @HuobiGlobal | 1,467,853 | - | - |
| @GMB | 1,005,398 | TV Show | News, Television, Entertainment |
| @paul_steele | 645,190 | Travel Blogger | Travel, hiking, photography |
| @MarcuscollinsUK | 526,758 | Performer | Music, LGBTQIA+, Equality |
| @JamesMelville | 437,480 | Consultant | Communications, Sponsorship, Writing |
| @Richard7Hill | 291,916 | Football Fan | ManUtd, Snooker, England |
| @dancingonice | 291,206 | Entertainment | skating, competition, entertainment |
| @keviclifton | 257,146 | Dancer | - |
| @conquerer1 | 236,147 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @TheMancUK | 194,809 | Journalist | Manchester, People, Voice |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,072
Followers With Bio
4,928
Followers Without Bio
50.72%
% With Bio
49.28%
% 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 3,037 analyzed129,226
Combined Engagement
0
Total Likes
129,226
Total Retweets
25,845
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @MariahCarey: Warming up for the holidays 🎶🎄 https://t.co/La8LQ6PSEc
RT @RWitherspoon: Thank u, next 👏🏼💖 @ArianaGrande #ElleWoodsForever https://t.co/A1jvyNQo0f
RT @ShawnMendes: I’m so excited to announce the launch of @ShawnFoundation, to support causes that are important to my fans and our generation. I will work alongside my fans to help provide them with a platform & the means to give back and take action. More info at https://
RT @ShawnMendes: 5 days #WONDER https://t.co/T3qMWXnhqP
RT @ManchesterArena: https://t.co/ZUwrKJN1dF
Key Insights & Takeaways
She is transitioning from her role in 'Weatherfield' and exploring new opportunities, indicating a shift in her career path. Her relationship with Gareth Gates is evolving, as they are taking a break but remain close friends. She frequently interacts with fans and maintains a personal connection through her tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 83,282
- + 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 @Faye_Brookes reveals an well-established Twitter presence with 83,282 followers. The account demonstrates a content-creator strategy, averaging 105.9 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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