Susan Wayland
Artist name 🌱verified passport since 01/2013 🔮refreshed 01/2023 📧 [email protected] 🐰60% Model,Design,Art 🫐20% vegan, eco, climate ⚙️20% GDPR
75,214
Followers
201
Following
18,051
Tweets
152.1
Avg Engagement
376
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SusanWayland'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:2009-02-28
- Verification:No
- Location:Camden Town, London
Data Summary
- Tweets Analyzed:3,198
- Avg Likes per Tweet:16.0
- Avg Retweets per Tweet:136.1
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,198 tweetsSusan's tweets receive moderate engagement, with an average of 533 likes and 39 retweets per post. Her content is visually appealing and often includes links to external media and collaborations.
16.0
Avg Likes/Tweet
136.1
Avg Retweets/Tweet
51,253
Total Likes
435,127
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
15
75th Percentile
115,763
Top Tweet
2.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
71.3%
Original
1.7%
Replies
16.7%
Retweets
10.4%
Quotes
0.0%
Threads
1.9%
With Media
89.6%
With Links
14.4%
With #Tags
21.0%
With @Mentions
47.9%
With Emojis
148
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,198 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 534 retweets (17% 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 3,198 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 10,999 followersHer followers are likely interested in art, fashion, and eco-friendly lifestyles, given her bio and tweet themes. The audience appears to appreciate visual content and interactive engagement.
Below Average
Audience Quality
38.2%
Suspicion Index
41.0%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.9%
Empty Bio
40.4%
<10 Tweets
32.8%
Mass Following (>2K)
0.0%
New (<90 days)
70.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
29.1%
<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.
3,986,604
Total Potential Reach
52
Median Follower Reach
140
75th Percentile Reach
3.2%
>1K followers
0.5%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
36.5%
Creators
4,020 accounts
23.0%
Consumers
2,531 accounts
40.4%
Dormant
4,448 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):
26
Verified Followers
0.24% of total
2,003
Protected Accounts
18.21% of total
3 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 |
|---|---|---|---|
| @SalySo12 | 452,359 | Unknown | Fashion, Beauty, Lifestyle |
| @TheColbyJansen | 201,105 | Adult Film Actor | Beer, Rugby, Ass Pounding |
| @salthuglife01 | 91,332 | Pornstar | Porn, Women's World, Salt |
| @Saulysol | 90,049 | Cuckold fetish | Esposa, zorra, orgulloso |
| @Perfect_Match_X | 62,090 | Adult entertainer | Gay, NSFW, Venus2000 |
| @rubberpassion | 58,084 | Fetish Model | Fetish, Latex, Models |
| @alexdomin0 | 56,897 | Modelo de lencería | exhibitionism, tanga sales, fun |
| @DeannGoss | 51,453 | Writer | Southern Gothic, Sweet Darkness, Melodies |
| @MingGao26 | 50,953 | Chef | cooking, sailing, activism |
| @BimboDoll2000 | 50,491 | Influencer | Botox, Plastic surgery, Instagram |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,185
Followers With Bio
5,814
Followers Without Bio
47.14%
% With Bio
52.86%
% 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 3,198 analyzed251,425
Combined Engagement
0
Total Likes
251,425
Total Retweets
50,285
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @pulte: I'm going give $5,000 to someone random who retweets this tweet today because it's Monday (must be following me so I can dm you if you win!)
RT @Twitter: if you see an edited Tweet it's because we're testing the edit button this is happening and you'll be okay
RT @elonmusk: The hell with it … even though Starlink is still losing money & other companies are getting billions of taxpayer $, we’ll just keep funding Ukraine govt for free
RT @elonmusk: I have unblocked everyone I blocked, apart from scammers. I recommend others do the same. Negative feedback is a good thing.
RT @katherinemzhou: Having lived in Stockholm for nearly 3 years, I am completely unsurprised and wholly disgusted by the swing towards fascism in Sweden. As an Asian-American woman, I have never experienced as much racism in my life until I moved here. This country is xenophobic
Key Insights & Takeaways
Her verified status and consistent posting suggest a professional approach to her art and modeling career. The use of emojis and playful language indicates a casual and approachable tone. Collaborations with other creators like @MarquisMagazine and @HWD_latex highlight her network and professional connections.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 75,214
- + 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 @SusanWayland reveals an well-established Twitter presence with 75,214 followers. The account demonstrates a content-creator strategy, averaging 152.1 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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