STV
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53,733
Followers
7,587
Following
40,267
Tweets
27.6
Avg Engagement
224
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WeAreSTV'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:2012-08-28
- Verification:No
- Location:Scotland
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:19.7
- Avg Retweets per Tweet:7.9
- Followers Analyzed:9,996
Engagement Analysis
Based on 3,250 tweetsThe account maintains a consistent level of engagement, with an average of 3,678 likes and 940 retweets per tweet. It uses a mix of promotional, celebratory, and humorous content to keep followers interested.
19.7
Avg Likes/Tweet
7.9
Avg Retweets/Tweet
64,056
Total Likes
25,597
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
8
75th Percentile
34,043
Top Tweet
0.51
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
89.4%
Original
9.4%
Replies
0.8%
Retweets
0.4%
Quotes
0.0%
Threads
0.1%
With Media
93.2%
With Links
54.3%
With #Tags
35.8%
With @Mentions
68.2%
With Emojis
138
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
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 25 retweets (1% 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 9,996 followersThe audience appears to be fans of STV's programming, including reality TV and entertainment content. They are likely interested in celebrity news, cultural moments, and lighthearted humor.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
33
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)
85.8%
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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
31,086,967
Total Potential Reach
33
Median Follower Reach
189
75th Percentile Reach
7.7%
>1K followers
1.1%
>10K followers
0.3%
>50K followers
0.2%
>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
9,996 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):
0
Verified Followers
0.0% of total
1,247
Protected Accounts
12.47% 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 |
|---|---|---|---|
| @JohnCena | 14,097,601 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,674,365 | Chef | Cooking, Food, Restaurants |
| @msm4rsh | 750,998 | Actress | Acting, Singing, Family |
| @KevinandTrevor | 693,278 | - | - |
| @TheRealKirstyG | 426,708 | - | - |
| @MichelleMone | 343,205 | Entrepreneur | Entrepreneurship, Inspiration, Speaker |
| @C4Gogglebox | 330,811 | TV Show | TV, Entertainment, Social Media |
| @revkatebottley | 197,241 | - | - |
| @socceraid | 192,317 | Charity Event | charity, football, event |
| @PrincesTrust | 155,816 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,471
Followers With Bio
4,529
Followers Without Bio
54.71%
% With Bio
45.29%
% 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 3,250 analyzed52,610
Combined Engagement
32,914
Total Likes
19,696
Total Retweets
10,522
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
🙈 ‘Your dog’s s*****d my cat.’ - It’s never a dull day for Judge Rinder! https://t.co/A4Lem9WEYL https://t.co/1zaHLdy27j
RT @ITV: A statement about Britain's Got Talent https://t.co/tO5WhysqIy
🛷 🎄 Let's kick off December with a throwback to little legend Aylan! https://t.co/7rfSYaogD7
🏴❤️️ @SamHeughan gets a special Christmas gift for his Scottish walks from @STVLaura! https://t.co/0bng4pUsVt
RT @antanddec: G’day Australia 🇦🇺 #ImACeleb, coming soon to @ITV @WeAreSTV https://t.co/7BHwzVNiaE
Key Insights & Takeaways
The account uses humor and relatable content to engage followers It often highlights celebrity interactions and public figures It blends promotional material with cultural and seasonal themes
Strengths
- + Established follower base of 53,733
- + 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 @WeAreSTV reveals an growing Twitter presence with 53,733 followers. The account demonstrates a content-creator strategy, averaging 27.6 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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