Roads Policing - Surrey Police - UK
The Roads Policing teams for @SurreyPolice. Trying to make the roads safer through education and enforcement. Do not report via Twitter, use 999 in emergency.
112,671
Followers
447
Following
62,716
Tweets
79.9
Avg Engagement
434
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SurreyRoadCops'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:2011-03-07
- Verification:No
- Location:The roads of Surrey, UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:74.7
- Avg Retweets per Tweet:5.2
- Followers Analyzed:7,000
Engagement Analysis
Based on 3,250 tweetsThe account has a high average number of likes and moderate retweets, suggesting that its messages are well-received but not widely shared. Engagement is likely driven by informative and cautionary content.
74.7
Avg Likes/Tweet
5.2
Avg Retweets/Tweet
242,787
Total Likes
16,996
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
101
75th Percentile
5,454
Top Tweet
0.71
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
28.3%
Original
64.9%
Replies
2.8%
Retweets
4.0%
Quotes
0.0%
Threads
0.9%
With Media
36.6%
With Links
24.1%
With #Tags
72.7%
With @Mentions
7.3%
With Emojis
178
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.29
Reply/Original Ratio
1.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
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.
The 90 retweets (3% 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 3,250 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 7,000 followersThe primary audience is likely drivers, cyclists, and the general public interested in road safety. The content is targeted at promoting legal and safe behavior on the roads.
Average
Audience Quality
27.1%
Suspicion Index
38.1%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.8%
Empty Bio
34.6%
<10 Tweets
10.7%
Mass Following (>2K)
0.0%
New (<90 days)
50.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
25.4%
<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.
17,108,645
Total Potential Reach
24
Median Follower Reach
142
75th Percentile Reach
5.1%
>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).
44.9%
Creators
3,141 accounts
20.5%
Consumers
1,434 accounts
34.6%
Dormant
2,425 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):
46
Verified Followers
0.66% of total
733
Protected Accounts
10.47% of total
6 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 | 14,093,763 | Wrestler | Wrestling, Motivation, Self-promotion |
| @B2WIndonesia | 391,103 | Cycling Advocate | Cycling, Better living, Community engagement |
| @bdnews24 | 224,225 | News Aggregator | Bangladesh, News, Independent |
| @Depheruk | 120,152 | - | - |
| @jameslhbartlett | 76,809 | Entrepreneur | Business, Innovation, Life-long Learning |
| @UK_Daniel_Card | 67,855 | - | - |
| @iaincartergolf | 67,647 | Golf Commentator | Golf, Broadcaster, Writer |
| @The90sNation | 64,018 | Nostalgia | 90s, Cali, nostalgia |
| @MPSRTPC | 46,473 | Police | Roads, Transport, Emergency |
| @DJBond6873 | 46,012 | Political Editor | Politics, News, Journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,445
Followers With Bio
3,555
Followers Without Bio
49.21%
% With Bio
50.79%
% 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 analyzed14,314
Combined Engagement
13,321
Total Likes
993
Total Retweets
2,863
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
If you decided to film the collision scene on the M25 with your phone as you drove past us today...we thought we'd let you know you weren't the only ones filming! Expect a letter through the post inviting you to receive 6 points and a £200 fine. https://t.co/UigcIdZWII
@pdreynolds81 Hi Peter. A competent and safe driver will be able to plan a safe and legal overtake when the opportunity arises. At most you’d likely be delayed by a minute or so. If you’re cutting it that close to make it to work, set your alarm earlier. Drive safe and legal.
Whilst on enquiries last night in Fulwell, near Twickenham, a cyclist thought it was a good idea to contravene a red traffic light - right in front of the #VanguardRST. Cyclist stopped and reported for the offence. https://t.co/V7lr32ZFlC
@Effiedeans If you’re needing to ask that question, the honest answer is: 4. return your driving licence to the DVLA.
The little #VanguardRST e-bike from @BromptonBicycle has had a busy couple of hours. In two hours: 5x Drivers on their phone 1x Disqualified Driver 1x Drug Driver 1x Vehicle in Dangerous Condition 1x Illegal plates Longest time between stops: 7 minutes. #Fatal5 https://t.co/K
Key Insights & Takeaways
The account frequently highlights dangerous driving behaviors and their consequences, which can serve as deterrents. It uses real-life incidents to educate the public, making the messages more relatable and impactful. The account maintains a professional tone while also being approachable, which helps in building trust with the audience.
Strengths
- + Established follower base of 112,671
- + 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 @SurreyRoadCops reveals an growing Twitter presence with 112,671 followers. The account demonstrates a conversation-first approach, averaging 79.9 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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