YouTube TV
The home of @NFL Sunday Ticket. 🏈
335,597
Followers
555
Following
17,939
Tweets
212.0
Avg Engagement
1,495
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @YouTubeTV'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:2016-11-28
- Verification:Yes
- Location:🛋️📺
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:24.8
- Avg Retweets per Tweet:187.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsYouTube TV's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is driven by updates on sports partnerships and service improvements.
24.8
Avg Likes/Tweet
187.2
Avg Retweets/Tweet
80,368
Total Likes
607,852
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
19
75th Percentile
134,214
Top Tweet
0.63
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
21.4%
Original
65.5%
Replies
10.5%
Retweets
2.6%
Quotes
0.0%
Threads
0.2%
With Media
46.9%
With Links
18.4%
With #Tags
79.6%
With @Mentions
30.0%
With Emojis
84
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.06
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.6%
Weekday Posts
17.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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.
The 340 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 3,247 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 primarily consists of sports enthusiasts, particularly NFL fans, who are interested in live and on-demand sports programming. They are likely to be tech-savvy and value exclusive content and reliable streaming services.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
12
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)
84.3%
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.
18,653,077
Total Potential Reach
12
Median Follower Reach
83
75th Percentile Reach
3.2%
>1K followers
0.3%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
50,000 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):
1,215
Verified Followers
1.21% of total
12,414
Protected Accounts
12.41% 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 |
|---|---|---|---|
| @VancityReynolds | 21,304,241 | Actor | gin, mobile, soccer |
| @JohnCena | 14,103,164 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GooglePlay | 7,552,616 | Digital Content | movies, TV, games |
| @weatherchannel | 4,424,951 | Meteorologist | Weather, Forecasts, Alerts |
| @ava | 2,627,692 | - | - |
| @YouTubeLATAM | 2,350,228 | Social Media Manager | Creadores, tendencias, videos |
| @JalenRose | 1,803,778 | Analyst | Basketball, Education, Media |
| @Suns | 1,694,568 | Sports Team | Basketball, Sports, Phoenix |
| @KapilMishra_IND | 1,407,529 | Politician | BJP, Hindu, Unity |
| @androidcentral | 1,241,645 | Tech Blogger | Tech, Android, Tips |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,096
Followers With Bio
39,904
Followers Without Bio
60.1%
% With Bio
39.9%
% 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 3,247 analyzed362,438
Combined Engagement
0
Total Likes
362,438
Total Retweets
72,488
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @FIFAWorldCup: ARGENTINA ARE WORLD CHAMPIONS!! 🇦🇷 #FIFAWorldCup | #Qatar2022
RT @RafaelNadal: Dear Roger,my friend and rival. I wish this day would have never come. It’s a sad day for me personally and for sports ar…
RT @HouseofDragon: August 21. #HouseoftheDragon https://t.co/xH6T7b9sa9
RT @hbomax: Gods. Kings. Fire. Blood. @HouseOfDragon is coming to HBO Max in 2022. #HouseoftheDragon https://t.co/16aV66l07i
RT @FIFAWorldCup: Tomorrow.
Key Insights & Takeaways
The account frequently highlights partnerships with major networks like Disney, which signals strategic moves to expand content offerings. It emphasizes the restoration of channels like ESPN and FX, showing a focus on restoring user access and satisfaction. The announcement of NFL Sunday Ticket coming to YouTube TV in 2023 highlights a key product launch and long-term strategy.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 335,597
- + 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 @YouTubeTV reveals an well-established Twitter presence with 335,597 followers. The account demonstrates a conversation-first approach, averaging 212.0 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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