Mumbai Metro
A project by Reliance Infrastructure. Metro train services between Versova-Andheri-Ghatkopar.
57,447
Followers
30
Following
13,984
Tweets
11.5
Avg Engagement
117
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MumbaiMetro01'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:2014-03-05
- Verification:No
- Location:Mumbai, India
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:8.2
- Avg Retweets per Tweet:3.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,233 tweetsThe account shows average engagement with likes and retweets, indicating a moderate level of interaction. It frequently responds to user concerns and public inquiries about metro operations.
8.2
Avg Likes/Tweet
3.3
Avg Retweets/Tweet
26,426
Total Likes
10,677
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
8
75th Percentile
894
Top Tweet
0.2
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
24.2%
Original
59.9%
Replies
15.4%
Retweets
0.5%
Quotes
0.0%
Threads
0.3%
With Media
35.9%
With Links
85.7%
With #Tags
80.5%
With @Mentions
4.9%
With Emojis
238
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.48
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.8%
Weekday Posts
22.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 499 retweets (15% 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 3,233 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 primary audience includes commuters, local residents, and media outlets interested in metro services. The account also engages with critics and concerned citizens regarding operational issues.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
100.0%
<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.
1,814,826
Total Potential Reach
3
Median Follower Reach
22
75th Percentile Reach
1.5%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
876
Protected Accounts
8.76% 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 |
|---|---|---|---|
| @mybmc | 839,885 | Government Official | Mumbai, BMC, Updates |
| @SunainaHoley | 68,948 | Activist | India, Explorer, RSS |
| @aditya_reds | 44,070 | - | - |
| @ShravanrB | 39,498 | - | - |
| @Marhathi | 33,446 | - | - |
| @India_Progress | 20,564 | - | - |
| @ekikaranmarathi | 19,645 | - | - |
| @N_Hiranandani | 18,365 | - | - |
| @im_vakil | 17,501 | - | - |
| @TheMahaIndex | 11,753 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,854
Followers With Bio
6,146
Followers Without Bio
38.54%
% With Bio
61.46%
% 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 3,233 analyzed3,187
Combined Engagement
2,763
Total Likes
424
Total Retweets
637
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
0%
With Links
Topical Analysis:
@sumrag @DiwakarSharmaa @mid_day @patel_bhupen Thank you for your concern Mr.Raghvan. Demonstration upon metro railways is prohibited and a punishable offence under The Metro Railways (O&M) Act, 2002. The referred incident has been highlighted to our security team for vigi
@roflolmaol @DiwakarSharmaa @mid_day @patel_bhupen Thank you for your concern @roflolmaol. Demonstration upon metro railways is prohibited and a punishable offence under The Metro Railways (O&M) Act, 2002. The referred incident has been highlighted to our security team for
@singhvarun Regret the delay, our trains come back every day to depot for stabling (parking) and maintenance to ensure smooth service throughout the day. Simultaneously, when trains are at the depot; maintenance of track, electrical, signalling system etc. is carried out. #HaveAN
SERVICE UPDATE | On 19th January 2023 (Thursday), metro services will not be available from 05:45 pm to 07:30 pm, due to operational and administrative reasons. Please plan your travel accordingly. Inconvenience is regretted.
We welcome the two new lifelines that will make every Mumbaikar's life easier. Welcome, Line 2A & 7. @MMMOCL_Official @MMRDAOfficial @PMOIndia @CMOMaharashtra #Line2A&7 #newmetrolines #metrolines #metro #mumbaimetro #mumbaimetroone #mumbaikars #mumbaitraffic #narendramo
Key Insights & Takeaways
The account actively engages with users and addresses their concerns about metro operations. It emphasizes the importance of maintaining smooth service through regular maintenance and stabling. It highlights the prohibition of demonstrations on metro railways and the associated penalties.
Strengths
- + Established follower base of 57,447
- + 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 @MumbaiMetro01 reveals an growing Twitter presence with 57,447 followers. The account demonstrates a conversation-first approach, averaging 11.5 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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