Sunday Brunch
On TV sets every Sunday at 9.30am - 12.30pm @Channel4 📺 #SundayBrunch Tweets to us may be used on the show. Full T&Cs at https://www.channel4.com/4viewers/ts-and-cs
385,320
Followers
3,766
Following
66,924
Tweets
54.3
Avg Engagement
458
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SundayBrunchC4'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:2012-03-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:49.6
- Avg Retweets per Tweet:4.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction. The engagement is likely driven by the show's popularity and guest appearances.
49.6
Avg Likes/Tweet
4.7
Avg Retweets/Tweet
161,180
Total Likes
15,141
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
2
Median Retweets
58
75th Percentile
6,189
Top Tweet
0.14
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
84.9%
Original
3.0%
Replies
10.1%
Retweets
2.1%
Quotes
0.0%
Threads
6.5%
With Media
90.3%
With Links
68.8%
With #Tags
75.1%
With @Mentions
73.0%
With Emojis
127
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
41.3%
Weekday Posts
58.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 327 retweets (10% 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 3,249 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 audience is primarily interested in entertainment, celebrity news, and TV content. They are likely fans of the show and its guests.
Average
Audience Quality
22.4%
Suspicion Index
33.8%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.4%
Empty Bio
23.2%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
43.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
14.2%
<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.
50,573,775
Total Potential Reach
29
Median Follower Reach
134
75th Percentile Reach
4.7%
>1K followers
0.6%
>10K followers
0.2%
>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).
53.2%
Creators
26,611 accounts
23.5%
Consumers
11,772 accounts
23.2%
Dormant
11,617 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):
640
Verified Followers
0.64% of total
14,166
Protected Accounts
14.17% 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 | 14,104,045 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jamieoliver | 6,235,857 | Chef | cooking, recipes, food |
| @wossy | 4,891,448 | TV Presenter | self-indulgent, Instagram, life |
| @GaryBarlow | 4,052,501 | Musician | Music, Humans, Album |
| @lemontwittor | 3,343,175 | Comedian | Comedy, TV Shows, Entertainment |
| @SarahMillican75 | 2,116,390 | Comedian | Comedy, Feminism, Pets |
| @yemialadee | 2,100,894 | Singer | Music, Fashion, Empowerment |
| @chris_kammy | 1,898,939 | Football pundit | Football, TV, Singing |
| @thescript | 1,849,794 | Musician | music, band, album |
| @Rylan | 1,764,641 | Entertainer | Luxury, Entertainment, Representation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,167
Followers With Bio
52,833
Followers Without Bio
47.17%
% With Bio
52.83%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,249 analyzed15,425
Combined Engagement
14,492
Total Likes
933
Total Retweets
3,085
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
It's @conangray time! ❤️ #SundayBrunch https://t.co/CmCAdy2CA0
We're now joined by the amazing @Anitta 😅 #SundayBrunch https://t.co/CDKpHKsDVD
We have the lovely @ashemusic performing for us today! We will be chatting to her in just a moment about her new music! 💜 #SundayBrunch https://t.co/wQ0webfkK7
#Throwback to @rickygervais talking about the American version of #TheOffice... 🤑😂 #RickyGervais #DavidBrent #ThrowbackThursday https://t.co/3ALkySipjj
#Throwback to one of the greatest burns in SB history! 🏆 #ThrowbackThursday @TimLovejoy @GylesB1 @SimonRim https://t.co/9FAbiedSm3
Key Insights & Takeaways
The account frequently collaborates with celebrities and artists, which boosts engagement. It uses hashtags and links to promote the show and its content. The tweets are often promotional and may be repurposed for the show itself.
Strengths
- + Established follower base of 385,320
- + 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 @SundayBrunchC4 reveals an growing Twitter presence with 385,320 followers. The account demonstrates a content-creator strategy, averaging 54.3 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.
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