NBA TV
All NBA, all the time.
6,845,937
Followers
912
Following
108,738
Tweets
667.4
Avg Engagement
13,246
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NBATV'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: Mega Influencer (1M+)
- Account Age:2009-03-19
- Verification:Yes
- Location:USA
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:583.6
- Avg Retweets per Tweet:83.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains high engagement through timely and impactful tweets, often featuring top-performing players and historic milestones. Verified accounts and trending topics further boost interaction.
583.6
Avg Likes/Tweet
83.9
Avg Retweets/Tweet
1,896,621
Total Likes
272,579
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
301
Median Likes
31
Median Retweets
698
75th Percentile
29,762
Top Tweet
0.1
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
95.0%
Original
2.2%
Replies
2.6%
Retweets
0.2%
Quotes
0.0%
Threads
0.1%
With Media
96.7%
With Links
17.6%
With #Tags
34.3%
With @Mentions
73.7%
With Emojis
87
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.2%
Weekday Posts
31.8%
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 85 retweets (3% 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 50,000 followersThe audience is primarily NBA fans who follow the league closely, including casual viewers and die-hard enthusiasts. They are interested in the latest scores, player milestones, and celebratory content.
Below Average
Audience Quality
45.5%
Suspicion Index
73.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
76.0%
Empty Bio
80.6%
<10 Tweets
1.0%
Mass Following (>2K)
0.0%
New (<90 days)
83.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.0%
No URL
70.2%
<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.
2,295,172
Total Potential Reach
1
Median Follower Reach
5
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.0%
>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).
8.0%
Creators
3,989 accounts
11.4%
Consumers
5,687 accounts
80.6%
Dormant
40,324 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):
125
Verified Followers
0.12% of total
11,665
Protected Accounts
11.55% of total
1 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 |
|---|---|---|---|
| @Myers_Wrestling | 393,929 | Wrestler | Wrestling, Independent, Podcast |
| @shomaristone | 231,599 | Reporter | News, Emmy Awards, Journalism |
| @FredVanVleet | 198,118 | Basketball Player | Basketball, Toronto Raptors, Wichita State University |
| @SergeantAqGo | 129,073 | Military Veteran | Iraq war, pro-police, veteran |
| @theprofessor | 103,185 | Basketball Player | Basketball, Entertainer, Inspiration |
| @ParallelUni0 | 69,109 | Music Producer | Music, Maker, Universe |
| @XelaDomains | 60,636 | - | - |
| @therealmalcolm | 57,372 | Actor | acting, writing, producing |
| @vip_preferred | 49,813 | - | - |
| @prmade313raised | 47,947 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,883
Followers With Bio
76,104
Followers Without Bio
24.64%
% With Bio
75.36%
% 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 analyzed102,818
Combined Engagement
66,077
Total Likes
36,741
Total Retweets
20,564
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
THE ALL-TIME SCORING KING 👑 @KingJames IS OFFICIALLY THE NBA's ALL-TIME LEADING SCORER! https://t.co/0zXmHloNjo
RT @NBAonTNT: KENNY LAUNCHED SHAQ INTO THE TREE 🎄💀 https://t.co/WBltT8jflx
Happy 38th Birthday, @KingJames! 🎉 https://t.co/dIrHXGXFCh
DONOVAN MITCHELL WENT OFF FOR 71 🕷️ https://t.co/KndIigANWu
Ja Morant for MVP? 👀 @Kia MVP ladder: https://t.co/fGDECdfO4y https://t.co/UFyIn9BP3R
Key Insights & Takeaways
The account leverages iconic moments and player milestones to drive engagement and maintain relevance. It uses verified accounts and trending topics to amplify reach and interaction. Celebratory content, such as birthdays and game highlights, keeps the audience emotionally connected.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 6,845,937
- + 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 @NBATV reveals an well-established Twitter presence with 6,845,937 followers. The account demonstrates a content-creator strategy, averaging 667.4 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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