Aoife Mannion
Brummie, amongst other things. Probably wearing a bucket hat. Pro Footballer for Man Utd Women 🙌 All enquiries @TTManagement_ email: info@ttmanagement.co.uk
20,144
Followers
507
Following
4,525
Tweets
526.2
Avg Engagement
67
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @aoifemannion_'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:2011-10-24
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:300.2
- Avg Retweets per Tweet:226.0
- Followers Analyzed:18,423
Engagement Analysis
Based on 500 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across her posts, showing a loyal and active follower base.
300.2
Avg Likes/Tweet
226.0
Avg Retweets/Tweet
150,113
Total Likes
112,991
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
4
Median Retweets
305
75th Percentile
56,598
Top Tweet
26.12
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
30.4%
Original
36.4%
Replies
20.2%
Retweets
13.0%
Quotes
0.0%
Threads
0.6%
With Media
36.4%
With Links
10.4%
With #Tags
70.4%
With @Mentions
68.0%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.2
Reply/Original Ratio
0.64
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 500 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 101 retweets (20% 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 500 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 18,423 followersHer audience includes football fans, especially those interested in women's football and Manchester United. They are likely to be engaged with sports news and updates on female athletes.
Average
Audience Quality
23.3%
Suspicion Index
21.0%
Low-Quality %
98
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.5%
Empty Bio
17.5%
<10 Tweets
24.1%
Mass Following (>2K)
0.0%
New (<90 days)
47.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
10.5%
<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.
91,463,233
Total Potential Reach
98
Median Follower Reach
360
75th Percentile Reach
10.7%
>1K followers
1.4%
>10K followers
0.4%
>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).
63.4%
Creators
11,687 accounts
19.1%
Consumers
3,517 accounts
17.5%
Dormant
3,219 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):
280
Verified Followers
1.52% of total
1,913
Protected Accounts
10.38% of total
6 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 |
|---|---|---|---|
| @ManUtd | 35,590,625 | Sports Team | Football, Manchester, United |
| @ManCity | 15,698,031 | Football Club | Football, Champions, Manchester |
| @GaryLineker | 8,929,003 | Football Pundit | BBC Sport, Walkers, @goalhangerfilms |
| @IanWright0 | 2,282,653 | Footballer | Football, Podcasting, Writing |
| @UnitedStandMUFC | 1,913,234 | Fan Channel | Manchester United, Global Fanbase, Latest News |
| @ManUtdMEN | 1,618,408 | Sports Journalist | Football, Manchester United, News |
| @LeBronJames | 1,006,037 | - | - |
| @guardian_sport | 906,509 | Sports News | news, comment, video |
| @AndyBurnhamGM | 580,560 | Politician | Politics, Manchester, Labour |
| @FourFourTwo | 508,830 | Football Magazine | Football, Magazine, World |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,617
Followers With Bio
5,806
Followers Without Bio
68.49%
% With Bio
31.51%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 500 analyzed119,085
Combined Engagement
27,856
Total Likes
91,229
Total Retweets
23,817
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @Lionesses: 🏆 OUR ENGLAND. OUR CHAMPIONS. 🏆 https://t.co/gf4BHUd5fW
RT @Lionesses: WE HAVE DONE IT
‘No one cares about women’s football’ 😄 https://t.co/zORQ9ltH9a
England women’s Euro opener at Old Trafford right now… unreal 👏🤩 https://t.co/p9BZvu2Lku
RT @Lionesses: "We see this as only the beginning." An open letter from our #Lionesses... https://t.co/Ty9kA7zgGa
Key Insights & Takeaways
She uses her platform to promote women's football and raise awareness about its importance. Her content often highlights major events, such as England's Euro matches, which resonate with her audience. She maintains a personal and relatable tone, which helps build a connection with her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 20,144
- + 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 @aoifemannion_ reveals an well-established Twitter presence with 20,144 followers. The account demonstrates a conversation-first approach, averaging 526.2 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access