ITV News Tyne Tees

ITV News Tyne Tees

@itvtynetees

News, Sport & Weather for Northumberland, Tyne & Wear, Durham, Teesside and North Yorkshire. 📺 Weekdays at 6pm 📱Follow us ➡ https://www.facebook.com/unsupportedbrowser

North East, England https://t.co/TuBirDajrF Joined 2010-03-24 Date of Analysis: Dec 16, 2025

121,846

Followers

5,982

Following

57,601

Tweets

4.6

Avg Engagement

555

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @itvtynetees'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:2010-03-24
  • Verification:Yes
  • Location:North East, England

Data Summary

  • Tweets Analyzed:3,230
  • Avg Likes per Tweet:3.4
  • Avg Retweets per Tweet:1.2
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,230 tweets

The account shows moderate engagement with an average of 179 likes and 29 retweets per tweet. The engagement appears to be consistent across the majority of its tweets.

3.4

Avg Likes/Tweet

1.2

Avg Retweets/Tweet

10,894

Total Likes

3,997

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

4

75th Percentile

524

Top Tweet

0.04

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

94.7%

Original

1.0%

Replies

4.1%

Retweets

0.2%

Quotes

0.0%

Threads

0.8%

With Media

98.1%

With Links

3.2%

With #Tags

13.3%

With @Mentions

9.9%

With Emojis

131

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.01

Reply/Original Ratio

0.05

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

86.8%

Weekday Posts

13.2%

Weekend Posts

Top Hashtags

#nufc (8) #sunderland (7) #northumberland (6) #teesside (5) #middlesbrough (5) #costoflivingcrisis (5) #coronation (3) #newcastle (3) #gateshead (3) #afghanistan (3)

Most Mentioned

@emilynewsreader (109) @krisjepson (57) @itvtynetees (41) @amysuttonitv (33) @tomsheldrickitv (19) @greggeastealitv (19) @itv (18) @rbullockitv (13) @ross_hutchinson (11) @sunderlandafc (10)

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Content Strategy Analysis

Based on 3,230 tweets

Content Type Distribution

Content Breakdown

Original Tweets 3,060 (95%)
Replies 32 (1%)
Retweets 131 (4%)
Quote Tweets 7 (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 131 retweets (4% 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 3,230 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 is likely residents of Northumberland, Tyne & Wear, Durham, Teesside, and North Yorkshire who seek local news and updates. The content is tailored to be informative and timely for these regions.

Below Average

Audience Quality

38.5%

Suspicion Index

63.0%

Low-Quality %

2

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

68.5%

Empty Bio

67.0%

<10 Tweets

3.6%

Mass Following (>2K)

0.0%

New (<90 days)

65.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.4%

No URL

57.4%

<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.

15,856,777

Total Potential Reach

2

Median Follower Reach

18

75th Percentile Reach

2.4%

>1K followers

0.3%

>10K followers

0.1%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

18.5%

Creators

1,851 accounts

14.5%

Consumers

1,454 accounts

67.0%

Dormant

6,695 accounts

22

Verified Followers

0.22% of total

3.4%

Professional Bios

founder, dev, analyst, etc.

0.05

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):

Newcastle Upon Tyne, England (321) North East, England (254) United Kingdom (114) England, United Kingdom (84) Durham, England (78) Sunderland, England (68) Gateshead, England (43) Darlington, England (40) South Shields, England (40) Middlesbrough, England (36)

22

Verified Followers

0.22% of total

877

Protected Accounts

8.77% of total

2 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 14,093,786 Wrestler Wrestling, Motivation, Self-promotion
@Depheruk 120,153 - -
@MarkMwandosya 85,927 Politician Politics, Education, Engineering
@TNLComFund 79,102 Funding Community, Funding, Thriving
@Debbie_abrahams 54,695 Politician Politics, Public Health, Labour Party
@henryeppsjr 53,399 Life Coach Minister, Army veteran, Life Coach
@ToonPolls 49,295 Sports Pollster #NUFC, Polls, Nick Pope
@SuZeSport 46,163 Sports Retailer Sports, Authenticity, Worldwide Delivery
@electpoliticsuk 36,920 - -
@NorthYorkMoors 31,875 - -

Top Keywords in Follower Bios

love (207) north (146) life (144) views (135) newcastle (121) east (105) nufc (91) music (85) lover (70) football (68)

Top Hashtags in Follower Bios

#nufc (23) #safc (5) #utb (5) #nhs (4) #newcastle (4) #adhd (3) #bekind (3) #writer (3) #mentalhealth (3) #stockton (2)

3,146

Followers With Bio

6,854

Followers Without Bio

31.46%

% With Bio

68.54%

% 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 3,230 analyzed

1,870

Combined Engagement

1,169

Total Likes

701

Total Retweets

374

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

20%

With @Mentions

100%

With Links

Topical Analysis:

News Sports Weather Community Events Local Updates Public Awareness

Key Insights & Takeaways

The account frequently shares news about local events and community activities. It highlights notable figures and their achievements, such as Chris Kamara's MBE recognition. The content often includes visuals and links to further information, enhancing user interaction.

Strengths

  • + Established follower base of 121,846
  • + 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 @itvtynetees reveals an growing Twitter presence with 121,846 followers. The account demonstrates a content-creator strategy, averaging 4.6 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