Hackney Police
Updates from Hackney Police. This account isn't always monitored. In an emergency call 999 otherwise it's 101 or tweet @metcc (both 24/7)
72,912
Followers
796
Following
23,947
Tweets
286.3
Avg Engagement
467
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MPSHackney'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:2012-02-28
- Verification:Yes
- Location:London Borough of Hackney
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:45.6
- Avg Retweets per Tweet:240.7
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,249 tweetsThe account has an average of 6,750 likes and 1,622 retweets per tweet, indicating moderate to high engagement. The content often sparks discussion, especially around public behavior and police operations.
45.6
Avg Likes/Tweet
240.7
Avg Retweets/Tweet
148,139
Total Likes
782,029
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
4
Median Retweets
38
75th Percentile
672,748
Top Tweet
3.93
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
50.3%
Original
15.9%
Replies
29.0%
Retweets
4.7%
Quotes
0.0%
Threads
0.3%
With Media
72.7%
With Links
50.1%
With #Tags
56.5%
With @Mentions
14.6%
With Emojis
221
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.32
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.9%
Weekday Posts
24.1%
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 3,249 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 943 retweets (29% 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 3,249 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 10,999 followersThe primary audience includes residents of Hackney and the general public interested in local police activities. The account serves as a communication channel for police updates and emergency information.
Average
Audience Quality
29.2%
Suspicion Index
39.2%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.4%
Empty Bio
40.9%
<10 Tweets
10.7%
Mass Following (>2K)
0.0%
New (<90 days)
54.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.3%
No URL
30.1%
<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.
20,273,768
Total Potential Reach
18
Median Follower Reach
146
75th Percentile Reach
5.8%
>1K followers
0.7%
>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).
39.8%
Creators
4,375 accounts
19.3%
Consumers
2,121 accounts
40.9%
Dormant
4,503 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):
58
Verified Followers
0.53% of total
1,376
Protected Accounts
12.51% of total
5 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 | 14,093,778 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NME | 897,997 | Music Journalism | music, pop culture, news |
| @zammit_marc | 385,500 | Filmmaker | Film, Acting, Producing |
| @DawnButlerBrent | 244,688 | Politician | Politics, Activism, Representation |
| @TiceRichard | 180,164 | Politician | Politics, Business, Football |
| @WhichUK | 124,984 | Consumer advocacy | consumer, champion, safety |
| @Visiongeo | 88,956 | Philanthropist | NGO funding, Philanthropy, Travel |
| @matt_diangelo | 81,384 | Actor | Movies, Quotes, Pulp Fiction |
| @as1z_ | 79,114 | Coordinator | Queer activism, Outreach, Testing |
| @cityoflondon | 67,062 | Government | news, events, announcements |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,672
Followers With Bio
5,327
Followers Without Bio
51.57%
% With Bio
48.43%
% 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 3,249 analyzed738,660
Combined Engagement
32,609
Total Likes
706,051
Total Retweets
147,732
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @RoyalFamily: The Queen died peacefully at Balmoral this afternoon. The King and The Queen Consort will remain at Balmoral this evening and will return to London tomorrow. https://t.co/VfxpXro22W
RT @RoyalFamily: A statement from Buckingham Palace: https://t.co/2x2oD289nL
#OpPIMA and sadly we’re fighting a losing battle in the parks today. Literally hundreds of people sitting having pizza, beers, wines. As always a big thank you to those that are observing the guidelines #StayHomeSaveLives #ProtectOurNHS #lockdownuk https://t.co/U2eFTKTDGJ
This is truly despicable & society should never accept such behaviour - we are here to protect you! The officers are safe, but clearly shaken & incredibly brave too. Arrests will be made... this must stop. BCU Cmdr Marcus Barnett https://t.co/WbVkfYEPHj
A quick update on this story. The suggestion that we’re looking into the officers in the video is misleading. We’re not. Officers do a challenging job and are allowed to have downtime. We have no concerns about their actions on this occasion. https://t.co/p5x0w2FyVI
Key Insights & Takeaways
The account frequently highlights incidents involving public disorder and police response. It emphasizes the importance of community behavior and public safety. There is a focus on clarifying misinformation and maintaining transparency with the public.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,912
- + 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 @MPSHackney reveals an well-established Twitter presence with 72,912 followers. The account demonstrates a content-creator strategy, averaging 286.3 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