Premier Inn

Premier Inn

@premierinn

Hello! 👋 From booking to bed, we’re here to help you rest easy. Give our support team a shout 8am-7pm, Mon-Fri. Book direct at https://premierinn.com/ & rest easy

UK & Ireland https://www.premierinn.com/ Joined 2009-01-23 Date of Analysis: Dec 16, 2025

92,061

Followers

17,905

Following

194,658

Tweets

0.3

Avg Engagement

401

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @premierinn'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:2009-01-23
  • Verification:No
  • Location:UK & Ireland

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:0.3
  • Avg Retweets per Tweet:0.0
  • Followers Analyzed:10,999

Engagement Analysis

Based on 3,250 tweets

The account has average engagement with likes and retweets. It actively interacts with followers through direct messages and replies.

0.3

Avg Likes/Tweet

0.0

Avg Retweets/Tweet

992

Total Likes

30

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

0

Median Retweets

0

75th Percentile

165

Top Tweet

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

0.6%

Original

99.4%

Replies

0.0%

Retweets

0.0%

Quotes

0.0%

Threads

0.4%

With Media

34.4%

With Links

0.1%

With #Tags

100.0%

With @Mentions

24.8%

With Emojis

187

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

179.56

Reply/Original Ratio

0

Quote/RT Ratio

Posting Rhythm

Consistent

Regular posting cadence

80.2%

Weekday Posts

19.8%

Weekend Posts

Top Hashtags

#maythe4th (1) #bringbackcauliflowerpopcorn (1) #savethepuding (1) #savethepudding (1)

Most Mentioned

@abzpaul (15) @rwnash (14) @michael61471203 (12) @andrewmcw73 (12) @mark395625 (10) @wendyro90455072 (10) @whitbread (9) @hpsaucy515 (9) @davidfirman_kbo (8) @miz2nice (8)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 18 (1%)
Replies 3,232 (99%)
Retweets 0 (0%)
Quote Tweets 0 (0%)

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.

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 10,999 followers

The primary audience is likely travelers and hotel guests seeking assistance. They may also include potential customers looking for booking options.

Good

Audience Quality

16.8%

Suspicion Index

25.9%

Low-Quality %

72

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.1%

Empty Bio

12.9%

<10 Tweets

9.2%

Mass Following (>2K)

0.0%

New (<90 days)

30.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.1%

No URL

7.6%

<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 Detector

Follower Reach & Influence

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

7,569,872

Total Potential Reach

72

Median Follower Reach

260

75th Percentile Reach

7.4%

>1K followers

0.7%

>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).

70.5%

Creators

7,749 accounts

16.7%

Consumers

1,834 accounts

12.9%

Dormant

1,416 accounts

55

Verified Followers

0.5% of total

6.7%

Professional Bios

founder, dev, analyst, etc.

0.19

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):

United Kingdom (262) London, England (210) England, United Kingdom (199) London (149) UK (129) Manchester, England (69) Scotland, United Kingdom (63) Wales, United Kingdom (58) England (51) South East, England (50)

55

Verified Followers

0.5% of total

1,343

Protected Accounts

12.21% 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
@ScottGShore 1,424,630 Reality TV Star Reality TV, Techno music, MTV
@lane_paula 223,958 Actress Acting, Motherhood, Yorkshire
@sashaamaliik 208,042 - -
@YorkshireTea 202,040 Tea company Tea, Proper brew, Yorkshire
@andygoldstein05 186,993 Sports Broadcaster Sports, Radio, Hair
@robinince 171,288 - -
@Arabelladaho 121,636 - -
@_StevenWebb 100,153 Mayor -
@Minxymissy 87,680 Maker mum, lingerie, maker
@gregjmchugh 65,539 Actor Acting, Writing, Voice

Top Keywords in Follower Bios

love (500) views (444) life (342) mum (283) music (255) lover (226) time (162) football (159) wife (159) proud (157)

Top Hashtags in Follower Bios

#coys (14) #mufc (12) #ynwa (11) #lfc (11) #nhs (9) #fbpe (9) #lufc (8) #thfc (7) #mentalhealth (7) #glazersout (7)

6,145

Followers With Bio

4,854

Followers Without Bio

55.87%

% With Bio

44.13%

% 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 $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

231

Combined Engagement

229

Total Likes

2

Total Retweets

46

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

0%

With Links

Topical Analysis:

Customer Service Hotel Bookings Direct Engagement

Key Insights & Takeaways

The account prioritizes customer support and service interactions. It uses direct links for bookings, indicating a focus on driving traffic to their website. Engagement is low, suggesting a need for more interactive or promotional content.

Strengths

  • + Established follower base of 92,061
  • + 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 @premierinn reveals an growing Twitter presence with 92,061 followers. The account demonstrates a conversation-first approach, averaging 0.3 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

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