PAPA DAN
Sydney-sider 🇦🇺 Radio Presenter • SBS ❤️ Former Radio Presenter/ Wanted:Sweetheart @ 97.1 LSFM 🇵🇭 Host 🎙| For inquiries: 📩 [email protected]
279,442
Followers
104
Following
16,243
Tweets
84.8
Avg Engagement
947
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @papadan971LS'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:2011-01-25
- Verification:No
- Location:Sydney, New South Wales
Data Summary
- Tweets Analyzed:3,158
- Avg Likes per Tweet:28.9
- Avg Retweets per Tweet:55.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,158 tweetsPapadan971LS's tweets typically receive high engagement, with an average of 389 likes and 395 retweets. Their content is well-received and often shared by followers.
28.9
Avg Likes/Tweet
55.9
Avg Retweets/Tweet
91,307
Total Likes
176,594
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
3
Median Retweets
49
75th Percentile
89,689
Top Tweet
0.3
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
63.9%
Original
20.1%
Replies
4.8%
Retweets
11.2%
Quotes
0.0%
Threads
0.1%
With Media
37.4%
With Links
17.9%
With #Tags
34.6%
With @Mentions
55.1%
With Emojis
61
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.32
Reply/Original Ratio
2.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.5%
Weekday Posts
25.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,158 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 152 retweets (5% 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 3,158 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 followersThe audience primarily consists of fans of their radio shows and followers interested in personal updates. They engage with a mix of casual and friendly interactions.
Average
Audience Quality
34.0%
Suspicion Index
51.4%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.5%
Empty Bio
58.8%
<10 Tweets
0.9%
Mass Following (>2K)
0.0%
New (<90 days)
61.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
42.2%
<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.
7,471,786
Total Potential Reach
4
Median Follower Reach
16
75th Percentile Reach
0.4%
>1K followers
0.1%
>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).
20.2%
Creators
10,114 accounts
21.0%
Consumers
10,505 accounts
58.8%
Dormant
29,381 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):
5
Verified Followers
0.01% of total
12,019
Protected Accounts
12.02% 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 |
|---|---|---|---|
| @gmanews | 6,480,474 | News Outlet | News, Philippines, Updates |
| @BeatsByAssassin | 2,263,816 | Multitalented | Actor, Director, Rapper |
| @gmanetwork | 1,730,781 | Media | Entertainment, News, Television |
| @SinghLions | 1,334,575 | Restaurateur | Food, Travel, Influencer |
| @KM_Jessica_Soho | 1,123,060 | Journalist | Entertainment, News, Features |
| @MikeyWax | 857,570 | Musician | music, singer-songwriter, new single |
| @larrykim | 728,975 | Entrepreneur | Startups, AdWords, Chatbots |
| @djkingassassin | 474,318 | DJ | Music, Club, Producer |
| @joycepring | 329,886 | TV Presenter | Faith, Media, Creativity |
| @GMA_PA | 241,484 | Media | News, Public Affairs, Television |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,575
Followers With Bio
63,425
Followers Without Bio
36.58%
% With Bio
63.42%
% 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 3,158 analyzed142,032
Combined Engagement
0
Total Likes
142,032
Total Retweets
28,406
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @kobebryant: My man....M.V.P. Greatness. 🙌🏾💪🏾 Next up: Championship. #MambaMentality
RT @Pontifex: Through the darkness of today's conflicts, every one of us can become a bright candle, a reminder that light will overcome da…
RT @VP: As I reflect on the past four years, I can't help but think of Congressman John Lewis' powerful words, "Do not get lost in a sea of…
RT @SpaceX: Falcon 9 first stage has landed https://t.co/5jbz9OdBsd
RT @kobebryant: Canvas: The Golden Democracy. The Warriors game is as easy as 1-2-3. @ESPNNBA https://t.co/byCFisbfQa
Key Insights & Takeaways
Papadan971LS frequently interacts with specific followers, indicating a personal connection. Their tweets often include emojis and casual language, reflecting a friendly and approachable tone. They maintain a consistent presence on Twitter, which helps sustain their engagement levels.
Strengths
- + Established follower base of 279,442
- + 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 @papadan971LS reveals an growing Twitter presence with 279,442 followers. The account demonstrates a content-creator strategy, averaging 84.8 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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