Port Adelaide FC
Playing footy since 1870 ⚡ Follow our AFLW team 👉 @pafc_w #weareportadelaide
112,647
Followers
352
Following
64,598
Tweets
68.0
Avg Engagement
721
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PAFC'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:2008-12-04
- Verification:No
- Location:Alberton, Adelaide, Australia
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:65.2
- Avg Retweets per Tweet:2.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating consistent interaction. It uses storytelling and emotional content to drive engagement and foster a sense of community.
65.2
Avg Likes/Tweet
2.8
Avg Retweets/Tweet
211,783
Total Likes
9,261
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
37
Median Likes
1
Median Retweets
80
75th Percentile
2,088
Top Tweet
0.6
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
65.9%
Original
29.5%
Replies
2.5%
Retweets
2.1%
Quotes
0.0%
Threads
0.4%
With Media
58.3%
With Links
46.2%
With #Tags
8.9%
With @Mentions
52.8%
With Emojis
115
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59.0%
Weekday Posts
41.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 81 retweets (2% 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 3,250 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 football fans, especially those passionate about the AFLW and Port Adelaide's history. They are likely to be emotionally invested in the team's journey and achievements.
Below Average
Audience Quality
36.5%
Suspicion Index
53.6%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.6%
Empty Bio
59.5%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
68.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
48.6%
<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.
17,829,480
Total Potential Reach
4
Median Follower Reach
29
75th Percentile Reach
2.3%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
22.6%
Creators
2,263 accounts
17.8%
Consumers
1,784 accounts
59.5%
Dormant
5,953 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):
33
Verified Followers
0.33% of total
737
Protected Accounts
7.37% 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 |
|---|---|---|---|
| @JohnCena | 14,093,784 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,331,083 | Restaurateur | Food, Travel, Influencer |
| @MOBOX_Official | 328,535 | GameFi | Gaming, Finance, NFT |
| @CoruscaKhaya | 210,858 | Educator | Education, Leadership, Business |
| @calferguson12 | 118,967 | Cricketer | Cricket, Golf, Football |
| @7NewsAdelaide | 116,540 | News outlet | News, Adelaide, Journalists |
| @arlowhite | 95,461 | Football Commentator | Football, Ted Lasso, Chicago Fire |
| @beastieboy07 | 79,050 | Cricket writer | Cricket, Writing, Authorship |
| @ncb_cfc | 69,364 | Football Coach | Family, Friends, Footy |
| @LHodge15 | 68,884 | Athlete | Football, Sports, Enquiries |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,136
Followers With Bio
5,864
Followers Without Bio
41.36%
% With Bio
58.64%
% 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 3,250 analyzed7,141
Combined Engagement
6,752
Total Likes
389
Total Retweets
1,428
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Who's cutting onions? 🥲 See the emotional moment Erin tells her dad, Greg Phillips, she will lead @pafc_w as captain ❤️ #weareportadelaide https://t.co/rCh6w3QS9J
The Finlaysons 🤍💍 https://t.co/o780vDdbGO
Today we bid farewell to #TheGraytest 🥲 Showdown LII will be a fitting send off for a champion of the game 🐐 📰 | https://t.co/hOGQWmb5VW https://t.co/dUERmbfunL
Thinking of J-Mac today and sending our love to his family and friends. Always with us, mate ❤️ https://t.co/hNmTYzmJac
WE'VE DONE IT https://t.co/8q8LBR7o5f
Key Insights & Takeaways
The account focuses on emotional and personal stories to connect with followers It highlights team milestones and legacy, reinforcing brand identity It uses a mix of storytelling and official updates to maintain relevance and engagement
Strengths
- + Established follower base of 112,647
- + 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 @PAFC reveals an growing Twitter presence with 112,647 followers. The account demonstrates a content-creator strategy, averaging 68.0 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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