T Mulligan
🎧 Music Producer ✍🏻 Lyrics Writer 🎼 Beat Maker 📖 Blogger 👩🏼🎤#5 NZ Song x 1 👨🏼🎤#1 Bubbling Songs x 2 🥈 Runner Up Adult Blog Of Year '17
198,296
Followers
1,298
Following
7,746
Tweets
416.9
Avg Engagement
56
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mullied'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:2012-10-06
- Verification:No
- Location:Tauranga, New Zealand
Data Summary
- Tweets Analyzed:3,141
- Avg Likes per Tweet:8.6
- Avg Retweets per Tweet:408.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,141 tweetsMullied's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content often includes links to music and blogs, driving traffic and engagement.
8.6
Avg Likes/Tweet
408.4
Avg Retweets/Tweet
26,870
Total Likes
1,282,713
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
27
75th Percentile
309,919
Top Tweet
2.1
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
33.4%
Original
49.6%
Replies
9.4%
Retweets
7.7%
Quotes
0.0%
Threads
0.2%
With Media
42.2%
With Links
41.2%
With #Tags
63.0%
With @Mentions
49.6%
With Emojis
82
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.49
Reply/Original Ratio
0.82
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.1%
Weekday Posts
30.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,141 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 295 retweets (9% 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 3,141 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 50,000 followersTheir audience is likely music enthusiasts, bloggers, and individuals interested in personal stories and relationship advice. They also attract fans of their musical collaborations and blog content.
Below Average
Audience Quality
39.4%
Suspicion Index
51.3%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
70.7%
Empty Bio
47.9%
<10 Tweets
8.7%
Mass Following (>2K)
0.0%
New (<90 days)
87.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
32.0%
<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.
124,232,726
Total Potential Reach
7
Median Follower Reach
21
75th Percentile Reach
1.9%
>1K followers
0.8%
>10K followers
0.5%
>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).
25.7%
Creators
12,856 accounts
26.4%
Consumers
13,194 accounts
47.9%
Dormant
23,950 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):
113
Verified Followers
0.11% of total
8,996
Protected Accounts
8.91% of total
11 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 |
|---|---|---|---|
| @JohnCena | 14,099,796 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,695,984 | Chef | Cooking, Food, Restaurants |
| @DJPaulyD | 3,599,802 | DJ | Music, DJing, Booking |
| @AnselElgort | 3,124,736 | Actor | Actor, Music, Travel |
| @Tyson_Fury | 2,249,735 | Boxer | Boxing, Fitness, Motivation |
| @GazGShore | 2,133,212 | Reality TV Star | Reality TV, Fitness, Fashion |
| @6BillionPeople | 2,033,745 | - | - |
| @PaulaAbdul | 1,965,431 | Singer | Dance, Music, Love |
| @kskgroup2017 | 1,777,518 | Entrepreneur | Angel investor, Entrepreneur, Soccer |
| @AndrewYang | 1,698,406 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,544
Followers With Bio
75,448
Followers Without Bio
25.29%
% With Bio
74.71%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,141 analyzed855,495
Combined Engagement
0
Total Likes
855,495
Total Retweets
171,099
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
RT @MarvelStudios: You will always be our King. https://t.co/6yfKb913rI
RT @captaintommoore: https://t.co/4QHUcwrHiH
RT @peppappig: Peppa is now listening to “fuck the police” by N.W.A
RT @warriors: NBA CHAMPS. WORLD CHAMPS. #DubNation, STAND UP! 🏆 https://t.co/iylELyLgGa
Key Insights & Takeaways
Mullied's content is highly interactive with a significant number of likes and retweets. They frequently share links to music and blogs, suggesting a focus on driving traffic and engagement. Their personal and creative content, such as relationship songs and dating advice, resonates well with their audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 198,296
- + 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 @mullied reveals an well-established Twitter presence with 198,296 followers. The account demonstrates a conversation-first approach, averaging 416.9 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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