The University of Central Lancashire - UCLan

The University of Central Lancashire - UCLan

@UCLan

We are the University of Central Lancashire, an international, multi-campus university tracing our roots back to 1828 🌹 Account monitored: Mon-Fri, 9am-5pm

📍 Preston, Burnley, Westlakes https://linktr.ee/UCLanUni Joined 2008-07-23 Date of Analysis: Dec 16, 2025

52,206

Followers

1,720

Following

24,907

Tweets

15.5

Avg Engagement

432

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @UCLan'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:2008-07-23
  • Verification:No
  • Location:📍 Preston, Burnley, Westlakes

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:9.8
  • Avg Retweets per Tweet:5.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,244 tweets

On average, UCLan's tweets receive 272 likes and 50 retweets, indicating moderate engagement. The account's engagement is likely influenced by its mix of academic and entertainment-related content.

9.8

Avg Likes/Tweet

5.6

Avg Retweets/Tweet

31,906

Total Likes

18,242

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

2

Median Retweets

16

75th Percentile

3,247

Top Tweet

0.3

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

56.2%

Original

30.9%

Replies

6.0%

Retweets

6.8%

Quotes

0.0%

Threads

1.5%

With Media

70.6%

With Links

32.6%

With #Tags

65.9%

With @Mentions

58.0%

With Emojis

195

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.55

Reply/Original Ratio

1.13

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

91.1%

Weekday Posts

8.9%

Weekend Posts

Top Hashtags

#uclangraduates (155) #preston (68) #clearing (49) #covid19 (32) #covid (29) #uclanfreshers (26) #uclanalumni (20) #lancashirehour (20) #mentalhealth (19) #lancashire (18)

Most Mentioned

@uclan (546) @uclanalumni (125) @uclansu (110) @uclanresearch (77) @prestoncouncil (43) @uclanadf (34) @uclanmedicine (30) @uclanbusiness (29) @uclanhealth (23) @uclanburnley (22)

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 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,824 (56%)
Replies 1,004 (31%)
Retweets 195 (6%)
Quote Tweets 221 (7%)

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 195 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 3,244 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 10,000 followers

The primary audience includes students, alumni, faculty, and the general public interested in UCLan's activities. The content also appeals to fans of popular culture and sports due to its integration of events like Strictly Come Dancing and rugby league.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

58

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

74.5%

No URL

100.0%

<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.

9,825,909

Total Potential Reach

58

Median Follower Reach

301

75th Percentile Reach

10.1%

>1K followers

1.2%

>10K followers

0.3%

>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).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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):

Preston, England (337) North West, England (315) United Kingdom (278) England, United Kingdom (202) Manchester, England (144) London, England (106) UK (93) Lancashire (93) Preston (75) Liverpool, England (75)

0

Verified Followers

0.0% of total

988

Protected Accounts

9.88% 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
@ferialhaffajee 521,150 Journalist Yogi
@DailyNewsZim 476,526 - -
@geoff_deweaver 359,429 Marketing Expert Digital Marketing, Strategy, Leadership
@LaticsOfficial 329,403 Football Club Football, Soccer, FA Cup
@mcspocky 291,282 - -
@TeachingEnglish 278,807 Teaching education, language learning, professional development
@HistoricEngland 248,560 Preservation History, Heritage, Conservation
@JeanetteJoy 217,816 Design Psychology Mentor ClimateReality, DesignPsychology, TinyHome
@UK_Music 126,852 Music industry Music industry, UK, Collective interests
@SimonCocking 113,000 Senior Editor Blockchain, FinTech, Sustainability

Top Keywords in Follower Bios

student (575) views (482) health (379) university (307) uclan (266) lancashire (249) education (240) love (236) research (236) life (227)

Top Hashtags in Follower Bios

#lancashire (10) #education (9) #research (9) #computing4wc (9) #business (8) #mentalhealth (7) #preston (6) #fbpe (6) #digital (6) #wellbeing (6)

7,091

Followers With Bio

2,909

Followers Without Bio

70.91%

% With Bio

29.09%

% 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 3,244 analyzed

6,930

Combined Engagement

0

Total Likes

6,930

Total Retweets

1,386

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Academic Achievements Campus Events Popular Culture Alumni Engagement Sports Community Building

Key Insights & Takeaways

The account frequently shares celebratory messages about graduates and notable alumni, which helps build a sense of community and pride. It leverages popular culture and events like Strictly Come Dancing to increase visibility and relatability. Collaborations with high-profile individuals and organizations enhance the account's credibility and reach.

Strengths

  • + Established follower base of 52,206
  • + 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 @UCLan reveals an growing Twitter presence with 52,206 followers. The account demonstrates a content-creator strategy, averaging 15.5 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