Tristan Maxted ™
Singer/Songwriter I write songs about pandas. Instagram : tristanmaxted ⚪️ Contact : [email protected] ⚪️
110,205
Followers
61,112
Following
3,980
Tweets
397.5
Avg Engagement
153
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TristanMaxted'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: Macro Influencer (100K+)
- Account Age:2011-12-14
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,171
- Avg Likes per Tweet:130.6
- Avg Retweets per Tweet:266.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,171 tweetsHis tweets receive a moderate level of engagement, with an average of 2,045 likes and 415 retweets, indicating a loyal but not extremely active fanbase. The use of links and references to well-known artists helps drive interaction.
130.6
Avg Likes/Tweet
266.9
Avg Retweets/Tweet
414,121
Total Likes
846,262
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
96
Median Likes
27
Median Retweets
229
75th Percentile
274,977
Top Tweet
3.61
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
59.6%
Original
13.2%
Replies
16.9%
Retweets
10.2%
Quotes
0.0%
Threads
0.6%
With Media
47.3%
With Links
12.6%
With #Tags
42.6%
With @Mentions
51.3%
With Emojis
70
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
0.6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.7%
Weekday Posts
31.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,171 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 537 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 3,171 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 followersHis audience appears to be music enthusiasts and fans of pop culture, particularly those interested in singer-songwriters and pandas. The engagement suggests a mix of younger and older followers who appreciate his style and personality.
Excellent
Audience Quality
7.3%
Suspicion Index
6.4%
Low-Quality %
530
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
11.6%
Empty Bio
2.2%
<10 Tweets
17.9%
Mass Following (>2K)
0.0%
New (<90 days)
4.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
70.0%
No URL
1.3%
<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.
11,950,131
Total Potential Reach
530
Median Follower Reach
1,331
75th Percentile Reach
33.1%
>1K followers
1.0%
>10K followers
0.0%
>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).
94.4%
Creators
9,440 accounts
3.4%
Consumers
335 accounts
2.2%
Dormant
225 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):
14
Verified Followers
0.14% of total
1,439
Protected Accounts
14.39% 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 |
|---|---|---|---|
| @stylsglorious | 115,730 | Influencer | dedicated, loyal, crazy |
| @lauvcth | 69,604 | Mixologist | cocktails, water, wall art |
| @CapitalChambo | 60,499 | News Editor | News, Editor, Liverpool |
| @1DGAlNS | 53,918 | Fan Account | One Direction, Niall Horan, Etsy |
| @ipaulwesleyh | 42,652 | - | - |
| @MysunflowerLou | 41,800 | Singer | Music, Travel, Lyrics |
| @AngelaNinaLG | 41,680 | Singer | Choir, Project, Singing |
| @onlylouie | 34,485 | - | - |
| @ElizaStylesCox | 33,842 | - | - |
| @cardanwife | 32,457 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,840
Followers With Bio
1,160
Followers Without Bio
88.4%
% With Bio
11.6%
% 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 3,171 analyzed721,264
Combined Engagement
0
Total Likes
721,264
Total Retweets
144,253
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @LeoDiCaprio: Thank you to the Academy and the incredible cast & crew of #TheRevenant. #Oscars
RT @joejonas: 10 years of Camp Rock and I’m still bitter we lost.
RT @captaintommoore: https://t.co/4QHUcwrHiH
RT @chancetherapper: I dont know what to say Mac Miller took me on my second tour ever. But beyond helping me launch my career he was one of the sweetest guys I ever knew. Great man. I loved him for real. Im completely broken. God bless him.
RT @Lionesses: 🏆 OUR ENGLAND. OUR CHAMPIONS. 🏆 https://t.co/gf4BHUd5fW
Key Insights & Takeaways
He uses humor and personal anecdotes to connect with his audience. His content often includes references to popular musicians, which may help with relatability and engagement. He maintains a casual and friendly tone, which aligns with his singer-songwriter persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 110,205
- + 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 @TristanMaxted reveals an well-established Twitter presence with 110,205 followers. The account demonstrates a content-creator strategy, averaging 397.5 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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