Suzanne Evans
“Competent and relatively sane” - Private Eye.
54,765
Followers
3,864
Following
89,097
Tweets
675.4
Avg Engagement
399
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SuzanneEvans1'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:2009-04-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:21.6
- Avg Retweets per Tweet:653.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,232 tweetsHer tweets generally receive a high number of likes and retweets, indicating a responsive and engaged audience. The average engagement suggests her content resonates with her followers.
21.6
Avg Likes/Tweet
653.8
Avg Retweets/Tweet
69,781
Total Likes
2,113,025
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
138
75th Percentile
182,008
Top Tweet
12.33
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
8.0%
Original
23.3%
Replies
49.6%
Retweets
19.1%
Quotes
0.0%
Threads
0.7%
With Media
63.8%
With Links
8.5%
With #Tags
80.3%
With @Mentions
8.0%
With Emojis
177
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.92
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
85.4%
Weekday Posts
14.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,232 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 1,604 retweets (50% 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 3,232 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 likely includes politically engaged UK citizens and those interested in social and political discourse. They are likely looking for informed opinions and analysis on national and global issues.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
232
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)
89.7%
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.
22,869,767
Total Potential Reach
232
Median Follower Reach
826
75th Percentile Reach
21.5%
>1K followers
2.3%
>10K followers
0.7%
>50K followers
0.4%
>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
10,000 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
780
Protected Accounts
7.8% 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 |
|---|---|---|---|
| @djsbu | 1,048,831 | Entrepreneur | Investor, Hustler, Finance |
| @ACTBrigitte | 901,327 | National Security Expert | National Security, Terrorism, Author |
| @RepThomasMassie | 648,053 | Politician | 2A Caucus, MIT Alum, Engineering |
| @BruceVH | 590,341 | Life Coach | Podcast, Speaker, Optimist |
| @DrAseemMalhotra | 560,957 | Cardiologist | - |
| @RealDeniseWelch | 556,197 | Author | Books, Acting, Writing |
| @OzraeliAvi | 542,633 | Activist | Politics, Australia, Israel |
| @Cath_Tyldesley | 409,396 | - | - |
| @DrEliDavid | 370,715 | Researcher | Cybersecurity, Artificial Intelligence, Research |
| @MartinKulldorff | 363,346 | Professor | Disease surveillance, Infectious diseases, Vaccine safety |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,729
Followers With Bio
3,271
Followers Without Bio
67.29%
% With Bio
32.71%
% 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 3,232 analyzed509,213
Combined Engagement
0
Total Likes
509,213
Total Retweets
101,843
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: My pronouns are Prosecute/Fauci
RT @elonmusk: @StationCDRKelly I strongly disagree. Forcing your pronouns upon others when they didn’t ask, and implicitly ostracizing those who don’t, is neither good nor kind to anyone. As for Fauci, he lied to Congress and funded gain-of-function research that killed millions
RT @jk_rowling: Dress however you please. Call yourself whatever you like. Sleep with any consenting adult who’ll have you. Live your best life in peace and security. But force women out of their jobs for stating that sex is real? #IStandWithMaya #ThisIsNotADrill
RT @elonmusk: New Twitter policy is to follow the science, which necessarily includes reasoned questioning of the science
RT @elonmusk: Under pressure from hundreds of activist employees, Twitter deplatforms Trump, a sitting US President, even though they themselves acknowledge that he didn’t violate the rules: https://t.co/60PplztV4k
Key Insights & Takeaways
She frequently addresses political and social issues, often with a critical tone. Her tweets often include links to articles or reports, suggesting she shares information and analysis. She uses a mix of personal opinion and public data to support her viewpoints.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,765
- + 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 @SuzanneEvans1 reveals an well-established Twitter presence with 54,765 followers. The account demonstrates a conversation-first approach, averaging 675.4 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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