Action Fraud
We are the UK's national fraud & cyber reporting centre where you can report, get advice and information. Our advisors reply Mon-Fri 9-6pm with their initials
72,087
Followers
1,325
Following
27,013
Tweets
19.3
Avg Engagement
723
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @actionfrauduk'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:2010-08-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:7.5
- Avg Retweets per Tweet:11.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account maintains consistent engagement with its followers, indicating a reliable and trusted source of information. The high retweet rate suggests that the content is widely shared and relevant.
7.5
Avg Likes/Tweet
11.8
Avg Retweets/Tweet
24,214
Total Likes
38,336
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
32
75th Percentile
592
Top Tweet
0.27
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
29.9%
Original
63.8%
Replies
6.1%
Retweets
0.2%
Quotes
0.0%
Threads
0.5%
With Media
82.5%
With Links
22.1%
With #Tags
80.3%
With @Mentions
12.9%
With Emojis
214
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.13
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
98.3%
Weekday Posts
1.7%
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 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 198 retweets (6% 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 10,000 followersThe primary audience is UK residents interested in fraud prevention and cybersecurity. The content is tailored to inform and warn about various scam tactics and schemes.
Average
Audience Quality
22.9%
Suspicion Index
26.1%
Low-Quality %
60
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.5%
Empty Bio
22.5%
<10 Tweets
17.2%
Mass Following (>2K)
0.0%
New (<90 days)
44.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.0%
No URL
14.8%
<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.
21,792,583
Total Potential Reach
60
Median Follower Reach
266
75th Percentile Reach
9.4%
>1K followers
1.1%
>10K followers
0.2%
>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).
58.1%
Creators
5,815 accounts
19.4%
Consumers
1,937 accounts
22.5%
Dormant
2,248 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):
127
Verified Followers
1.27% of total
1,282
Protected Accounts
12.82% 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 | 14,093,853 | Wrestler | Wrestling, Motivation, Self-promotion |
| @hosseinbastani | 313,042 | Journalist | Politics, Journalism, Iran |
| @BillionMagazine | 246,876 | Luxury Sales | Jets, Yachts, Supercars |
| @BrumPolice | 185,689 | Law Enforcement | Emergency, Contact, Chat |
| @OxfordDiplomat | 178,188 | Diplomat | Cyber, Gender, Diplomacy |
| @JacquiOatley | 165,306 | Sports Broadcaster | Sports, Football, Journalism |
| @MyNottingham | 122,876 | Government | Nottingham, City Council, Customer Service |
| @Depheruk | 120,928 | - | - |
| @drruchibhatt | 96,997 | Healthcare Technology | Health Technology, WomenInTech, Data Science |
| @andy_fitze | 91,067 | AI Advisor | AI, Digital Transformation, Speaker |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,251
Followers With Bio
3,749
Followers Without Bio
62.51%
% With Bio
37.49%
% 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 analyzed2,243
Combined Engagement
474
Total Likes
1,769
Total Retweets
449
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
🚨SCAM WARNING🚨 We've received 139 reports about scam text messages relating to the Energy Bills Support Scheme. ✅You DO NOT need to apply for the scheme, or provide any bank details. ✅Forward suspicious texts to 7726 (it's free). #CyberProtect https://t.co/yKgLTFeIxg
RT @cabinetofficeuk: There's been a lot of discussion and claims about our test of the Emergency Alerts 🚨📱system on Sunday at 3pm. Here's some important information you need to know 👇 https://t.co/AXeGHanVG5
RT @NHSuk: ⚠️ Beware of fake NHS emails asking you to order 'an Omicron PCR test'. We never ask for bank details, so please be aware of suspicious emails or text messages. Find out more about scam emails, texts and phone calls from @NCSC ⬇️ https://t.co/DV13iO0Hyi
⚠️Watch out for fake text messages claiming to be from the NHS. Since Jan 1st, 412 victims have reported losses totalling more than £531,000. ❌The NHS will NEVER ask for payment or any financial details. Get more information here: https://t.co/Gjgvuh3FhQ #CovidFrauds https://t
🚨SCAM WARNING - please share🚨 We've received 335 reports about scam text messages relating to the Energy Bills Support Scheme. ✅You DO NOT need to apply for the scheme, or provide any bank details. ✅Forward suspicious texts to 7726 (it's free). #CyberProtect https://t.co/3Gh
Key Insights & Takeaways
The account frequently highlights specific scams, such as Energy Bills Support Scheme fraud and NHS-related scams, which are critical for public awareness. It uses seasonal themes, like the festive season, to educate followers on different fraud types, making the content more relatable and engaging. The account emphasizes real-time updates and statistics, such as the number of reported scams and financial losses, to build credibility and urgency.
Strengths
- + Established follower base of 72,087
- + 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 @actionfrauduk reveals an growing Twitter presence with 72,087 followers. The account demonstrates a conversation-first approach, averaging 19.3 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