Subway®
Always refreshing the feed. Try the legendary #SubwaySeriesMenu. For concerns: @SubwayListens
2.227.125
Followers
28.240
Following
116.441
Tweets
9,6
Avg Engagement
5.201
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SUBWAY'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: Mega Influencer (1M+)
- Account Age:2009-02-11
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:8,6
- Avg Retweets per Tweet:0,9
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.250 tweetsThe account maintains a steady level of engagement with average likes and retweets, indicating a consistent but not overwhelming level of interaction.
8,6
Avg Likes/Tweet
0,9
Avg Retweets/Tweet
28.070
Total Likes
2.986
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
4.905
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
4,6%
Original
95,1%
Replies
0,0%
Retweets
0,3%
Quotes
0,0%
Threads
0,1%
With Media
33,5%
With Links
1,9%
With #Tags
95,1%
With @Mentions
14,3%
With Emojis
78
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
20,75
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82,6%
Weekday Posts
17,4%
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 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.
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 50.000 followersThe audience appears to be food enthusiasts and casual social media users interested in promotions and humor. They are likely young adults and teenagers.
Average
Audience Quality
34,7%
Suspicion Index
44,8%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51,5%
Empty Bio
49,8%
<10 Tweets
6,5%
Mass Following (>2K)
0,0%
New (<90 days)
75,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
89,7%
No URL
38,0%
<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.
16.017.783
Total Potential Reach
6
Median Follower Reach
36
75th Percentile Reach
1,7%
>1K followers
0,2%
>10K followers
0,1%
>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).
28,5%
Creators
14.240 accounts
21,7%
Consumers
10.836 accounts
49,8%
Dormant
24.924 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):
629
Verified Followers
0.62% of total
9.893
Protected Accounts
9.8% 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 | 14.106.507 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DangeRussWilson | 5.597.123 | Athlete | Faith, Love, Jesus |
| @rodrigovesgo | 5.436.038 | - | - |
| @tonyhawk | 4.507.335 | Skateboarder | Skateboarding, Family, Video Games |
| @MonsterEnergy | 3.020.531 | Energy Drink | Energy drinks, extreme sports, lifestyle |
| @Simone_Biles | 1.689.769 | Gymnast | Olympics, Dogs, Instagram |
| @iFireMonkey | 1.272.962 | - | - |
| @kio_cyr | 1.148.151 | Influencer | Fashion, Travel, Photography |
| @jamessmurray | 1.019.656 | Comedian | Comedy, TV shows, Thriller |
| @WhatsTrending | 890.238 | News Outlet | DAILY, SOCIAL, NEWS |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55.708
Followers With Bio
45.286
Followers Without Bio
55.16%
% With Bio
44.84%
% 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 analyzed9.165
Combined Engagement
8.611
Total Likes
554
Total Retweets
1.833
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
@WhoTFissim Boss moves only 😎
New footlong #cookies just dropped https://t.co/8VfvtDr8jC
Pls do not refer to our new thicker, crispier pickles as “thiccles”
Wouldn’t it be nice to get a gift card for no reason at all?
Lettuce is just sandwich confetti
Key Insights & Takeaways
The account uses humor and relatable content to connect with followers. Promotions and new menu items are central to its strategy. It encourages user participation and feedback through direct calls to action.
Strengths
- + Established follower base of 2.227.125
- + 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 @SUBWAY reveals an growing Twitter presence with 2.227.125 followers. The account demonstrates a conversation-first approach, averaging 9,6 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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