Salford City FC
Official account of The Ammies 🦁🔴
166,999
Followers
401
Following
57,031
Tweets
39.9
Avg Engagement
633
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SalfordCityFC'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:2009-04-12
- Verification:Yes
- Location:Salford, England
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:37.4
- Avg Retweets per Tweet:2.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsThe account maintains a consistent level of engagement with average likes and retweets, indicating a loyal and active fan base.
37.4
Avg Likes/Tweet
2.5
Avg Retweets/Tweet
121,373
Total Likes
8,144
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
30
75th Percentile
6,144
Top Tweet
0.24
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
89.0%
Original
2.5%
Replies
1.7%
Retweets
6.8%
Quotes
0.0%
Threads
0.0%
With Media
58.4%
With Links
2.3%
With #Tags
29.7%
With @Mentions
86.5%
With Emojis
101
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
3.96
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
51.4%
Weekday Posts
48.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 56 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 3,244 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 football fans, supporters, and potential new followers interested in the club's progress and news.
Average
Audience Quality
20.4%
Suspicion Index
26.5%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
17.3%
<10 Tweets
11.4%
Mass Following (>2K)
0.0%
New (<90 days)
42.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
11.2%
<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.
62,921,982
Total Potential Reach
69
Median Follower Reach
239
75th Percentile Reach
6.0%
>1K followers
0.6%
>10K followers
0.2%
>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).
63.8%
Creators
31,903 accounts
18.9%
Consumers
9,444 accounts
17.3%
Dormant
8,653 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):
306
Verified Followers
0.3% of total
13,876
Protected Accounts
13.74% 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 |
|---|---|---|---|
| @FabrizioRomano | 14,515,679 | Journalist | Football, Transfers, News |
| @JohnCena | 14,100,791 | Wrestler | Wrestling, Motivation, Self-promotion |
| @themichaelowen | 3,787,468 | Footballer | football, sports, pundit |
| @HarryMaguire93 | 2,163,401 | Footballer | Football, England, Puma |
| @6BillionPeople | 2,033,252 | - | - |
| @Castro1021 | 1,507,890 | Gamer | Gaming, Champion, Business |
| @SkyFootball | 1,336,449 | Sports Media | Football, EFL, SPFL |
| @EmiratesFACup | 1,009,281 | Sports Organization | Football, Competition, Trophy |
| @TheBanat | 915,793 | Comedian | comedy, hosting, specials |
| @MikeyWax | 857,593 | Musician | music, singer-songwriter, new single |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,196
Followers With Bio
43,797
Followers Without Bio
56.63%
% With Bio
43.37%
% 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 3,244 analyzed21,796
Combined Engagement
21,027
Total Likes
769
Total Retweets
4,359
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
.@GNev2 sums it up PERFECTLY! https://t.co/cKUcEiflld
Our Co-Owner ❤️ https://t.co/TePYlgvpfs
Salford City is delighted to announce the appointment of Nicky Butt as CEO! Read more ⤵️
From La Masia, to Villa Park, and now The Peninsula Stadium 🏟️ Welcome to Salford City, @LouieBarry6 🤝 https://t.co/yRPo7B70wc
IT HAPPENED AGAIN!!!!! 😅 @GNev2 https://t.co/0vdetBeBzb
Key Insights & Takeaways
The account frequently highlights key figures and announcements, such as new appointments and fan interactions. Content is often shared through links, suggesting a focus on driving traffic to official club resources. Engagement appears to be driven by a mix of fan sentiment and club-related updates.
Strengths
- + Established follower base of 166,999
- + 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 @SalfordCityFC reveals an growing Twitter presence with 166,999 followers. The account demonstrates a content-creator strategy, averaging 39.9 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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