104.1 2DayFM
104.1 2DayFM is making #Sydney feel good!
52,954
Followers
738
Following
104,446
Tweets
111.2
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @2DayFM'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:2009-07-30
- Verification:No
- Location:Sydney, Australia
Data Summary
- Tweets Analyzed:3,193
- Avg Likes per Tweet:2.0
- Avg Retweets per Tweet:109.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,193 tweetsThe account has a moderate engagement rate with an average of 244 likes and 55 retweets per tweet. The content often includes links to live chats and events, which likely drive interaction.
2.0
Avg Likes/Tweet
109.2
Avg Retweets/Tweet
6,488
Total Likes
348,528
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
5
75th Percentile
149,456
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
68.8%
Original
1.6%
Replies
28.2%
Retweets
1.4%
Quotes
0.0%
Threads
0.2%
With Media
94.2%
With Links
55.1%
With #Tags
78.7%
With @Mentions
40.1%
With Emojis
167
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.8%
Weekday Posts
26.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,193 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 899 retweets (28% 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 3,193 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 followersThe audience is primarily interested in music, events, and celebrity news, especially in Sydney. They engage with content related to live performances and celebrity interactions.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
26
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)
80.0%
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.
31,996,354
Total Potential Reach
26
Median Follower Reach
205
75th Percentile Reach
8.1%
>1K followers
1.5%
>10K followers
0.5%
>50K followers
0.3%
>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
897
Protected Accounts
8.97% of total
8 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 | 14,093,230 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,010,622 | - | - |
| @ChristinaMilian | 1,414,622 | Singer | Jewelry, Beignets, Bots |
| @janoskians | 1,087,304 | Entertainers | Comedy, Pranks, Entertainment |
| @Kid_Ink | 934,092 | Rapper | Music, Tattoos, Lifestyle |
| @MAXMusic | 700,657 | Musician | Music, Butterflies, Tour |
| @DHughesy | 638,027 | Comedian | Comedy, Masked Singer, Stage |
| @BoyGeorge | 499,458 | Singer | Music, Fashion, LGBTQ+ |
| @MaggieLindemann | 492,909 | Singer | music, collaboration, management |
| @djkingassassin | 464,415 | DJ | Music, Club, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,638
Followers With Bio
4,362
Followers Without Bio
56.38%
% With Bio
43.62%
% 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 3,193 analyzed310,697
Combined Engagement
0
Total Likes
310,697
Total Retweets
62,139
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @AnnaKendrick47: Holy shit. I just remembered I was in Twilight.
RT @ladygaga: We should all wrap our arms of love around Demi Lovato. I am so happy you’re alive. Thank God. If I know my monsters as well as I believe I do, we all wish you self-compassion and inner peace. And may you receive the love so many have for you. #ImConfidentInDemi Dem
RT @nickjonas: Like all of you I am reeling at the news about Demi. All of us love her and need to pray for her to get well. She is a fighter. #prayfordemi
RT @Camila_Cabello: music is one of the closest things we have to magic
RT @samsmithworld: The world is deeply In Love with you @ddlovato xx
Key Insights & Takeaways
The account frequently promotes live events and celebrity appearances, which likely drive engagement. It uses trending hashtags and links to increase visibility and traffic. Collaborations with popular artists and shows are a key part of its content strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,954
- + 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 @2DayFM reveals an well-established Twitter presence with 52,954 followers. The account demonstrates a content-creator strategy, averaging 111.2 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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