Steve Peers
Professor of EU Law & Human Rights Law, @rhul_law. Latest book: EU Justice and Home Affairs Law, 5th ed (OUP), published Oct 2023. Usual disclaimers.
160,327
Followers
92,549
Following
246,467
Tweets
615.8
Avg Engagement
1,487
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @StevePeers'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:2014-02-10
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:27.2
- Avg Retweets per Tweet:588.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive moderate engagement, with an average of 562 likes and 162 retweets. Engagement is often driven by his legal analyses and commentary on current events.
27.2
Avg Likes/Tweet
588.7
Avg Retweets/Tweet
88,264
Total Likes
1,913,200
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
16
Median Retweets
196
75th Percentile
165,074
Top Tweet
3.84
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
4.2%
Original
34.5%
Replies
57.4%
Retweets
3.8%
Quotes
0.0%
Threads
0.8%
With Media
21.3%
With Links
4.1%
With #Tags
89.8%
With @Mentions
5.4%
With Emojis
136
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.12
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.6%
Weekday Posts
25.4%
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 3,250 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 1,866 retweets (57% 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 50,000 followersHis audience includes legal professionals, students, and academics interested in EU and human rights law. They are likely seeking expert opinions and updates on legal developments.
Average
Audience Quality
21.6%
Suspicion Index
19.3%
Low-Quality %
184
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.5%
Empty Bio
15.5%
<10 Tweets
30.6%
Mass Following (>2K)
0.0%
New (<90 days)
34.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.0%
No URL
10.1%
<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.
89,133,609
Total Potential Reach
184
Median Follower Reach
936
75th Percentile Reach
24.2%
>1K followers
2.6%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
70.3%
Creators
35,154 accounts
14.2%
Consumers
7,076 accounts
15.5%
Dormant
7,770 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):
774
Verified Followers
0.77% of total
8,362
Protected Accounts
8.28% of total
8 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 |
|---|---|---|---|
| @AuschwitzMuseum | 1,503,448 | Historian | History, Memory, Education |
| @MasNotes | 1,274,367 | Lawyer | Technology, Innovation, Business |
| @Ali_Albukhaiti | 1,255,880 | Activist | politics, activism, Yemen |
| @CalltoActivism | 1,017,736 | Activist | politics, memes, engagement |
| @gunsnrosesgirl3 | 942,308 | - | - |
| @StanCollymore | 893,795 | Football Analyst | Football, Anti-Racism, Mental Health |
| @HackedOffHugh | 834,963 | Actor | Movies, Activism, Politics |
| @NatashaBertrand | 784,794 | Reporter | White House, National Security, Reporting |
| @Jason | 716,099 | Investor | startups, investing, podcasting |
| @krishgm | 695,915 | Journalist | News, Unreported World, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
74,476
Followers With Bio
26,520
Followers Without Bio
73.74%
% With Bio
26.26%
% 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 3,250 analyzed357,023
Combined Engagement
0
Total Likes
357,023
Total Retweets
71,405
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @KamalaHarris: Don’t worry, Mr. President. I’ll see you at your trial.
RT @IanWright0: Everybody knows what Match of the Day means to me, but I’ve told the BBC I won’t be doing it tomorrow. Solidarity.
RT @iamharaldur: Hi again @elonmusk 👋 I hope you are well. I’m fine too. I’m thankful for your interest in my health. But since you me…
RT @DiscussingFilm: ‘Home Alone 2: Lost in New York’ star Donald Trump has been indicted on criminal charges. https://t.co/lzlF3bLgKi
RT @alanshearer: I have informed the BBC that I won’t be appearing on MOTD tomorrow night.
Key Insights & Takeaways
He frequently shares personal updates about his academic career, such as joining a new university. He addresses legal misconceptions, like the claim that joining the CPTPP prevents the UK from rejoining the EU. He uses Twitter to highlight hypocrisy in political and legal contexts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 160,327
- + 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 @StevePeers reveals an well-established Twitter presence with 160,327 followers. The account demonstrates a conversation-first approach, averaging 615.8 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