Northern Quarter MCR
Documenting Manchester's Northern Quarter. #NQmanchester
217,829
Followers
597
Following
17,007
Tweets
57.4
Avg Engagement
466
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NQManchester'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:2011-08-02
- Verification:No
- Location:Northern Quarter, Manchester
Data Summary
- Tweets Analyzed:3,203
- Avg Likes per Tweet:20.3
- Avg Retweets per Tweet:37.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,203 tweetsThe account maintains high engagement with consistent likes and retweets. Its content resonates with a broad audience interested in community and social issues.
20.3
Avg Likes/Tweet
37.1
Avg Retweets/Tweet
64,924
Total Likes
118,964
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
14
75th Percentile
40,783
Top Tweet
0.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
33.9%
Original
13.4%
Replies
48.4%
Retweets
4.3%
Quotes
0.0%
Threads
0.7%
With Media
59.6%
With Links
24.2%
With #Tags
79.1%
With @Mentions
25.3%
With Emojis
118
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.9%
Weekday Posts
19.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,203 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 1,550 retweets (48% 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 3,203 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 is likely local residents and visitors interested in Manchester's Northern Quarter. They are engaged with both cultural and political content.
Average
Audience Quality
30.7%
Suspicion Index
46.6%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.5%
Empty Bio
46.4%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
55.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.4%
No URL
37.7%
<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.
22,228,570
Total Potential Reach
11
Median Follower Reach
123
75th Percentile Reach
5.2%
>1K followers
0.5%
>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).
36.7%
Creators
18,336 accounts
16.9%
Consumers
8,446 accounts
46.4%
Dormant
23,218 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):
105
Verified Followers
0.1% of total
8,090
Protected Accounts
8.01% of total
7 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 |
|---|---|---|---|
| @GNev2 | 5,504,891 | Sports Commentator | Football, Analysis, Motivation |
| @JDaIey | 1,230,317 | - | - |
| @samuelluckhurst | 545,385 | Sports journalist | Football, Manchester United, Journalism |
| @djkingassassin | 473,944 | DJ | Music, Club, Producer |
| @wellbelove | 423,472 | Marketer | marketer, presenter, councillor |
| @classicshirts | 414,077 | Retailer | Football, Shirts, Collection |
| @SamWallaceTel | 400,940 | Sports Journalist | football, writing, newspapers |
| @GranadaReports | 330,762 | News broadcaster | News, Politics, Current Affairs |
| @danroan | 313,664 | Sports Journalist | Sports, Journalism, Podcasts |
| @Asamsakti | 286,143 | Art Lover | Art, Technology, Tea |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,727
Followers With Bio
64,272
Followers Without Bio
36.36%
% With Bio
63.64%
% 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 3,203 analyzed105,006
Combined Engagement
16,611
Total Likes
88,395
Total Retweets
21,001
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @gmpolice: Police statement on incident at Manchester Arena https://t.co/gaKASukx9a
RT @gmpolice: Latest statement on incident at Manchester Arena https://t.co/BEpLOan3dY
FC Schalke fans going for it through the NQ this afternoon! @s04 https://t.co/1GhZu4IfYZ
#BlackLivesMatter #RipGeorgeFloyd https://t.co/nzGmzrRPb5
RT @MENnewsdesk: Please RT. https://t.co/V6WzOMXXT7
Key Insights & Takeaways
The account frequently highlights local events and community activities It engages with social justice movements and public figures It uses hashtags to amplify messages and reach a wider audience
Strengths
- + Established follower base of 217,829
- + 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 @NQManchester reveals an growing Twitter presence with 217,829 followers. The account demonstrates a content-creator strategy, averaging 57.4 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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