SaturdayKitchen
All tweets the opinions of #SaturdayKitchen team at Cactus TV headed by @amandacactus Not the BBC. Watch LIVE 10am every Saturday BBC One and BBC iPlayer
186,630
Followers
966
Following
9,360
Tweets
72.4
Avg Engagement
449
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SaturdayKitchen'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:2009-05-01
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:67.9
- Avg Retweets per Tweet:4.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. The content is well-received and often shared across the platform.
67.9
Avg Likes/Tweet
4.6
Avg Retweets/Tweet
220,180
Total Likes
14,775
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
42
Median Likes
3
Median Retweets
88
75th Percentile
2,729
Top Tweet
0.39
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
68.7%
Original
11.1%
Replies
13.6%
Retweets
6.7%
Quotes
0.0%
Threads
1.5%
With Media
78.0%
With Links
66.8%
With #Tags
77.0%
With @Mentions
41.0%
With Emojis
201
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.49
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
21.2%
Weekday Posts
78.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 442 retweets (14% 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 3,245 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 likely fans of the show, food enthusiasts, and followers of Cactus TV. They are engaged with humor, celebrity news, and show-related content.
Average
Audience Quality
25.9%
Suspicion Index
36.1%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.5%
Empty Bio
29.8%
<10 Tweets
8.7%
Mass Following (>2K)
0.0%
New (<90 days)
51.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
19.8%
<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.
39,417,808
Total Potential Reach
23
Median Follower Reach
118
75th Percentile Reach
4.8%
>1K followers
0.5%
>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).
47.2%
Creators
23,588 accounts
23.0%
Consumers
11,520 accounts
29.8%
Dormant
14,892 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):
183
Verified Followers
0.18% of total
12,770
Protected Accounts
12.64% of total
8 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 | 14,100,291 | Wrestler | Wrestling, Motivation, Self-promotion |
| @stephenfry | 12,277,759 | - | - |
| @TheVampsband | 3,669,806 | Musicians | music, band, tour |
| @gregjames | 1,584,728 | Radio Host | Radio, author, cricket |
| @StaceySolomon | 1,558,784 | TV Personality | Family, TV, Singing |
| @scott_mills | 1,265,163 | Radio Host | Entertainment, Music, Radio |
| @SadiqKhan | 1,153,382 | Politician | Politics, Environment, London |
| @sharon_cuneta12 | 1,097,934 | Actress | Family, Travel, God |
| @susannareid100 | 905,662 | Presenter | News, TV, Charity |
| @bbcle | 786,144 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,730
Followers With Bio
50,268
Followers Without Bio
50.23%
% With Bio
49.77%
% 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 3,245 analyzed9,931
Combined Engagement
9,304
Total Likes
627
Total Retweets
1,986
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
A huge round of applause and congrats to Angela on her recent OBE! 👏 https://t.co/tKknoEfdno
First @thelizcarr controversially wanted food hell, now she is set to become the next Bond Villain... let's make this happen! #LizCarrBondVillain https://t.co/iTyjmv2soM
We’re not crying, YOU are! 😍 We’ve missed @HairyBikers on #SaturdayKitchen! https://t.co/OS5zE7D7Am
Psst... this Saturday, Nigella joins us in the kitchen. *screams* #SaturdayKitchen @Nigella_Lawson https://t.co/3nuOO2ZbJ5
Introducing our new Saturday Kitchen drinks expert... 🍷 #SaturdayKitchen @StaceySolomon https://t.co/zUEArZvow1
Key Insights & Takeaways
The account uses humor and celebrity references to boost engagement and maintain a fun atmosphere. It leverages trending topics and pop culture to stay relevant and connect with its audience. The use of hashtags and links to live shows helps drive traffic and promote the show.
Strengths
- + Established follower base of 186,630
- + 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 @SaturdayKitchen reveals an growing Twitter presence with 186,630 followers. The account demonstrates a content-creator strategy, averaging 72.4 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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