PoliticsHome

PoliticsHome

@politicshome

Fast, informed, comprehensive coverage of UK politics. With debate & insight from Parliament via @TheHouseMag. Subscribe to our podcast: https://t.co/CXLZFhNDLQ

Westminster, London https://www.politicshome.com/ Joined 2008-10-02 Date of Analysis: Dec 16, 2025

122,128

Followers

1,143

Following

202,486

Tweets

7.9

Avg Engagement

2,247

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @politicshome'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:2008-10-02
  • Verification:No
  • Location:Westminster, London

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:4.1
  • Avg Retweets per Tweet:3.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

{'content_formats': 'Primarily text-based updates with links to articles on the PoliticsHome website. Occasional images and videos.', 'common_engagement_types': 'Retweets, likes, replies (though replies are less frequent compared to other political accounts), link clicks', 'typical_engagement_rate': 'Moderate - likely varies significantly depending on the topic and timeliness of the content. Breaking news and controversial topics generate higher engagement.'}

4.1

Avg Likes/Tweet

3.8

Avg Retweets/Tweet

13,348

Total Likes

12,371

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

1

Median Retweets

5

75th Percentile

1,384

Top Tweet

0.06

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

74.0%

Original

19.3%

Replies

6.4%

Retweets

0.3%

Quotes

0.0%

Threads

0.1%

With Media

88.8%

With Links

2.2%

With #Tags

15.0%

With @Mentions

69.3%

With Emojis

177

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.26

Reply/Original Ratio

0.04

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

83.2%

Weekday Posts

16.8%

Weekend Posts

Top Hashtags

#pmqs (53) #budget2023 (8) #bhm (3) #cop27 (2) #westminsterrr (1) #partnercontent (1) #hydrogen (1) #costofliving (1) #charity (1) #iwd (1)

Most Mentioned

@politicshome (142) @alain_tolhurst (64) @adampayne26 (57) @thehousemag (47) @zoenora6 (14) @holyrooddaily (14) @eleanormia (12) @timloughton (10) @libdemdaisy (9) @gmb_union (9)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,405 (74%)
Replies 628 (19%)
Retweets 208 (6%)
Quote Tweets 9 (0%)

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 208 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 3,250 tweets

Engagement 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 followers

{'interests': 'British politics, policy, government, current affairs, Brexit, Parliament, elections', 'likely_demographics': 'Likely a mix of journalists, political professionals, academics, policy wonks, and politically engaged citizens. Geographically concentrated in the UK.', 'potential_influencers': 'Journalists, political commentators, think tank researchers, civil servants, MPs/politicians'}

Average

Audience Quality

23.2%

Suspicion Index

24.1%

Low-Quality %

106

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

34.3%

Empty Bio

20.4%

<10 Tweets

23.4%

Mass Following (>2K)

0.0%

New (<90 days)

42.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.8%

No URL

13.9%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

80,313,638

Total Potential Reach

106

Median Follower Reach

473

75th Percentile Reach

15.1%

>1K followers

1.8%

>10K followers

0.4%

>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).

64.2%

Creators

32,122 accounts

15.4%

Consumers

7,698 accounts

20.4%

Dormant

10,180 accounts

366

Verified Followers

0.73% of total

11.6%

Professional Bios

founder, dev, analyst, etc.

0.14

Median Follow Ratio

follower/following

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):

London, England (2,883) London (1,832) United Kingdom (1,242) England, United Kingdom (783) UK (571) Manchester, England (292) London, UK (224) Scotland, United Kingdom (217) England (195) South East, England (181)

701

Verified Followers

0.69% of total

13,196

Protected Accounts

13.07% of total

9 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 14,101,226 Wrestler Wrestling, Motivation, Self-promotion
@piersmorgan 8,472,062 Journalist quotes, media, controversy
@Lord_Sugar 5,200,704 Entrepreneur business, entrepreneurship, technology
@BeatsByAssassin 2,261,087 Multitalented Actor, Director, Rapper
@MartinSLewis 2,231,099 Financial Expert Money saving, tips, musings
@MmusiMaimane 1,990,537 Politician Building, One South Africa, Committed
@zlj517 1,983,937 Spokesman Geopolitics, Diplomacy, Communication
@David_Cameron 1,748,336 Politician Alzheimer's, Youth, Fragility
@Keir_Starmer 1,408,739 Politician Politics, Law, Leadership
@Peston 1,340,882 Journalist politics, education, writing

Top Keywords in Follower Bios

views (6,165) politics (4,392) love (2,149) uk (1,976) news (1,960) political (1,816) social (1,729) life (1,635) former (1,631) labour (1,582)

Top Hashtags in Follower Bios

#fbpe (430) #gtto (213) #brexit (124) #politics (114) #rejoineu (109) #blm (97) #nhs (88) #lfc (72) #fbppr (70) #toriesout (69)

65,577

Followers With Bio

35,416

Followers Without Bio

64.93%

% With Bio

35.07%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

4,855

Combined Engagement

3,125

Total Likes

1,730

Total Retweets

971

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

20%

With @Mentions

80%

With Links

Topical Analysis:

Uk Politics Brexit Parliament Government Policy Elections Budget Prime Minister Conservative Party Labour Party Civil Service

Key Insights & Takeaways

["The account's lack of following indicates a strategy of broadcasting information rather than building reciprocal relationships with other accounts.", 'High follower count suggests a well-established reputation and a significant reach within the UK political sphere.', 'Content is largely driven by news cycles and major political events, indicating a reactive rather than proactive content strategy.', "The account's value lies primarily in its ability to quickly disseminate information and provide links to detailed analysis.", 'Limited direct interaction suggests a focus on being a primary source of information rather than fostering a community.']

Strengths

  • + Established follower base of 122,128
  • + 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 @politicshome reveals an growing Twitter presence with 122,128 followers. The account demonstrates a content-creator strategy, averaging 7.9 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025