ITV News Calendar
ITV News Calendar is live across Yorkshire & Lincolnshire in @GMB from 6am-9am and on @ITV weekdays at 1:55pm, 6pm & 10:30pm. Tweets to us may be broadcast.
164,680
Followers
2,125
Following
93,740
Tweets
31.4
Avg Engagement
787
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itvcalendar'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:2008-07-24
- Verification:No
- Location:Yorkshire & Lincolnshire
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:22.1
- Avg Retweets per Tweet:9.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsOn average, tweets receive 5,312 likes and 1,345 retweets, indicating moderate to high engagement. The account's content is likely to resonate with its audience due to its news and media-related focus.
22.1
Avg Likes/Tweet
9.3
Avg Retweets/Tweet
71,721
Total Likes
30,346
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
6
75th Percentile
56,084
Top Tweet
0.19
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
68.2%
Original
2.6%
Replies
28.9%
Retweets
0.4%
Quotes
0.0%
Threads
0.4%
With Media
69.9%
With Links
13.8%
With #Tags
35.9%
With @Mentions
3.2%
With Emojis
133
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
88.3%
Weekday Posts
11.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 938 retweets (29% 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 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 50,000 followersThe primary audience is likely residents of Yorkshire and Lincolnshire who follow ITV News. The account also attracts general news enthusiasts and media professionals.
Average
Audience Quality
30.1%
Suspicion Index
44.0%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.6%
Empty Bio
44.7%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
54.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
34.4%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
39,000,273
Total Potential Reach
10
Median Follower Reach
96
75th Percentile Reach
5.7%
>1K followers
0.6%
>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).
35.9%
Creators
17,946 accounts
19.4%
Consumers
9,718 accounts
44.7%
Dormant
22,336 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):
163
Verified Followers
0.16% of total
8,828
Protected Accounts
8.74% of total
7 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 | 14,100,915 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,033,239 | - | - |
| @chris_kammy | 1,899,129 | Football pundit | Football, TV, Singing |
| @globaltimesnews | 1,880,428 | News outlet | China, news, politics |
| @Danielzukerman | 764,607 | Entertainer | CANTOR, APRESENTADOR, DUBLADOR |
| @Abramjee | 715,826 | Consultant | Crime Watch, Social Cohesion, Tax Justice |
| @WhoresofYore | 667,487 | Historian | Sex, History, Linen-Lifting |
| @perpetuok | 508,982 | Artist | Democracy, Freedom, Animals |
| @BoyGeorge | 504,786 | Singer | Music, Fashion, LGBTQ+ |
| @YvetteCooperMP | 431,989 | Politician | Politics, Constituency casework, Labour |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,943
Followers With Bio
58,051
Followers Without Bio
42.52%
% With Bio
57.48%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,250 analyzed66,065
Combined Engagement
48,664
Total Likes
17,401
Total Retweets
13,213
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
In this clip from 1994, Leeds student Liz Truss tells ITV News the idea of the monarchy is 'disgraceful'. Today she meets the queen to be appointed as the new PM. https://t.co/FO9WaJRSbO
RT @itvnews: Her Majesty The Queen has died, Buckingham Palace has announced https://t.co/tWZJsfugBt
There are times when broadcasting rivalries have to be put to one side. So, here's our tribute to @BBCLookNorth legend Harry Gration. https://t.co/0hOygpVSb5
King Charles gives artist Fiona Compton a very personal greeting, with a kiss on each cheek, during a visit to Leeds Art Gallery. 'She's my god daughter', he tells his host. https://t.co/QchDEbIYbq
WATCH: Sheffield Wednesday's table-topping win over @argyle through the eyes of ball boy @shaystriathlon (ft reassuring words for @bazzabannan25, 'best talker' @liamjpalmer, THAT disallowed goal, sprinting like @usainbolt + his fundraising mission for @bluebellwoodch) @efl @swfc
Key Insights & Takeaways
The account shares historical news clips and personal stories, which can create emotional connections with followers. It highlights media legends and collaborations, suggesting a focus on legacy and industry recognition. The potential for tweets to be broadcast adds a unique value proposition, encouraging audience interaction and relevance.
Strengths
- + Established follower base of 164,680
- + 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 @itvcalendar reveals an growing Twitter presence with 164,680 followers. The account demonstrates a content-creator strategy, averaging 31.4 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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