Sky Help Team
Official help page for @SkyUK. 8.30am-9pm Weekdays and 9am-9pm Weekends. Prefer Facebook? Follow us & Get in Touch on Sky Help FB https://www.facebook.com/unsupportedbrowser
237,030
Followers
61,107
Following
1,587,226
Tweets
0.5
Avg Engagement
344
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SkyHelpTeam'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:2011-11-02
- Verification:Yes
- Location:Sky UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:0.4
- Avg Retweets per Tweet:0.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady average of likes and retweets, indicating moderate audience interaction. Retweets are used strategically to involve followers in decision-making processes.
0.4
Avg Likes/Tweet
0.1
Avg Retweets/Tweet
1,368
Total Likes
283
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
261
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
3.1%
Original
96.8%
Replies
0.0%
Retweets
0.1%
Quotes
0.0%
Threads
0.2%
With Media
42.1%
With Links
0.5%
With #Tags
96.8%
With @Mentions
37.4%
With Emojis
168
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
30.83
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
71.7%
Weekday Posts
28.3%
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 account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
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 SkyUK customers seeking support and updates. The account also engages with users interested in product features and customer feedback.
Good
Audience Quality
19.2%
Suspicion Index
28.6%
Low-Quality %
51
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.2%
Empty Bio
16.9%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
37.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
10.0%
<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.
36,594,539
Total Potential Reach
51
Median Follower Reach
192
75th Percentile Reach
5.0%
>1K followers
0.4%
>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).
63.2%
Creators
31,608 accounts
19.9%
Consumers
9,958 accounts
16.9%
Dormant
8,434 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):
277
Verified Followers
0.27% of total
15,029
Protected Accounts
14.88% 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 | 14,100,203 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jackwhitehall | 6,056,825 | Actor/Comedian | Comedy, Acting, Entertainment |
| @TheVampsCon | 1,736,190 | Musician | Diary, Strange thoughts |
| @gregjames | 1,584,364 | Radio Host | Radio, author, cricket |
| @TwitterBusiness | 1,353,018 | - | - |
| @EllaHenderson | 995,547 | Singer | Music, Singer, Album |
| @susannareid100 | 905,653 | Presenter | News, TV, Charity |
| @Baddiel | 882,168 | Comedian | Comedy, Writing, Football |
| @serafinowicz | 668,201 | Comedian | comedy, acting, male feminist |
| @ammr | 603,020 | Digital Marketer | Digital Marketing, Social Media, Training |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,761
Followers With Bio
46,234
Followers Without Bio
54.22%
% With Bio
45.78%
% 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 analyzed544
Combined Engagement
318
Total Likes
226
Total Retweets
109
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Retweet this post if we should bring back Sky 3D. https://t.co/APlhr8kZ7Y
We really missed a trick calling it Sky Broadband... https://t.co/FoCN30a7lg
Retweet this post if you'd like to see a glow-in-the-dark Sky Remote.
nobody: absolutely no-one: my Sky wifi password: https://t.co/xSqR1ktuN0
wemissyousomuch 🙃😭 https://t.co/Ds6B04S6oN
Key Insights & Takeaways
The account uses humor and nostalgia to engage followers, such as referencing past product names. Retweets are leveraged to gather opinions on potential product revivals. The account encourages user participation through interactive calls to action.
Strengths
- + Established follower base of 237,030
- + High community engagement through conversations
- + 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 @SkyHelpTeam reveals an growing Twitter presence with 237,030 followers. The account demonstrates a conversation-first approach, averaging 0.5 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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