Peter Hunt
Former BBC correspondent and presenter. Commentator on constitutional and royal issues for outlets including @LBC, @SpecCoffeeHouse, @BBCNews and @Channel4News.
70,015
Followers
4,366
Following
13,526
Tweets
1,266.2
Avg Engagement
866
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_PeterHunt'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:2011-01-27
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,202
- Avg Likes per Tweet:166.7
- Avg Retweets per Tweet:1,099.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,202 tweetsHis tweets typically receive a high number of likes, indicating strong audience interest. Retweets are also relatively high, suggesting his content is widely shared and discussed.
166.7
Avg Likes/Tweet
1,099.5
Avg Retweets/Tweet
533,706
Total Likes
3,520,558
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
11
Median Retweets
313
75th Percentile
184,781
Top Tweet
18.08
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
26.0%
Original
21.7%
Replies
37.9%
Retweets
14.4%
Quotes
0.0%
Threads
0.9%
With Media
69.9%
With Links
11.5%
With #Tags
66.0%
With @Mentions
3.5%
With Emojis
136
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.84
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,202 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 1,214 retweets (38% 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 3,202 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 followersHis audience includes news enthusiasts, royal watchers, and individuals interested in constitutional law. The content appeals to those following high-profile legal and royal family developments.
Average
Audience Quality
21.0%
Suspicion Index
24.6%
Low-Quality %
115
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.5%
Empty Bio
14.0%
<10 Tweets
22.9%
Mass Following (>2K)
0.0%
New (<90 days)
36.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
9.6%
<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.
31,237,955
Total Potential Reach
115
Median Follower Reach
461
75th Percentile Reach
14.9%
>1K followers
2.2%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.7%
Creators
7,269 accounts
13.3%
Consumers
1,331 accounts
14.0%
Dormant
1,400 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):
89
Verified Followers
0.89% of total
1,354
Protected Accounts
13.54% 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 |
|---|---|---|---|
| @JohnCena | 14,093,944 | Wrestler | Wrestling, Motivation, Self-promotion |
| @fatma_karume | 1,069,940 | Lawyer | Justice, Activism, Empowerment |
| @campbellclaret | 1,026,955 | Writer | Writing, Communication, Mental Health |
| @RealDeniseWelch | 556,694 | Author | Books, Acting, Writing |
| @JodieMarsh | 521,070 | Animal Rescuer | Animal rescue, Instagram, CBD |
| @THE_THEO_FORD | 474,476 | - | - |
| @rcallimachi | 346,187 | Journalist | education, ISIS, Africa |
| @TMZLive | 282,771 | Entertainment News | Entertainment, News, Inside |
| @TVNaga01 | 278,580 | Journalist | Journalism, Golf, Kindness |
| @djcleo1 | 268,344 | DJ | Music, Entertainment, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,045
Followers With Bio
3,955
Followers Without Bio
60.45%
% With Bio
39.55%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,202 analyzed703,947
Combined Engagement
0
Total Likes
703,947
Total Retweets
140,789
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @JayRayy7: My nephew got to unwrap the only Christmas gift he asked for a few days early and his reaction broke my heart😭 https://t.co/vEXIRESglR
RT @TwitterSafety: After close review of recent Tweets from the @realDonaldTrump account and the context around them we have permanently suspended the account due to the risk of further incitement of violence. https://t.co/CBpE1I6j8Y
RT @11thHour: Day 1 vs. Day 1,448 https://t.co/OohffkCQrc
RT @AustinKKim: This video shows the significance of Chadwick Boseman‘s role as T’Challa in “Black Panther.” An example of why representation matters https://t.co/oXnRbdwRit
RT @MarcusRashford: I don’t even know what to say. Just look at what we can do when we come together, THIS is England in 2020.
Key Insights & Takeaways
Hunt often shares verified information about royal family members, such as Prince Harry's military service. He highlights legal actions taken by royal family members, indicating a focus on public accountability. His tweets frequently include links to official sources, reinforcing the credibility of his content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 70,015
- + 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 @_PeterHunt reveals an exceptionally influential Twitter presence with 70,015 followers. The account demonstrates a content-creator strategy, averaging 1,266.2 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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