NBASpain
Cuenta oficial de la NBA en España. 🏆 Puedes ver la NBA aquí. ¡Prueba gratuita de 7 días! https://www.nba.com/watch/league-pass-stream?cid=nba:ilp:own:social:unsp:na:adhoc:acq:sub:nba-eme:u-glo:u-en:Twitter:nbaspain:
396,984
Followers
800
Following
94,465
Tweets
223.1
Avg Engagement
2,031
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NBAspain'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:2011-12-22
- Verification:Yes
- Location:España
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:150.6
- Avg Retweets per Tweet:72.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsThe account averages 7,691 likes and 1,220 retweets per tweet, indicating strong audience interaction. It uses emotional and relatable content to drive engagement.
150.6
Avg Likes/Tweet
72.5
Avg Retweets/Tweet
488,744
Total Likes
235,309
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
6
Median Retweets
152
75th Percentile
25,173
Top Tweet
0.56
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
59.8%
Original
14.0%
Replies
24.9%
Retweets
1.3%
Quotes
0.0%
Threads
0.2%
With Media
78.6%
With Links
42.1%
With #Tags
46.8%
With @Mentions
37.7%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.7%
Weekday Posts
31.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 808 retweets (25% 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 3,246 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 Spanish-speaking NBA fans interested in player stories and game highlights. The content is tailored to evoke emotional responses and encourage participation.
Average
Audience Quality
30.2%
Suspicion Index
42.6%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.9%
Empty Bio
42.8%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
62.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
32.4%
<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.
37,351,480
Total Potential Reach
8
Median Follower Reach
58
75th Percentile Reach
2.0%
>1K followers
0.3%
>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).
37.5%
Creators
18,737 accounts
19.8%
Consumers
9,879 accounts
42.8%
Dormant
21,384 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):
197
Verified Followers
0.2% of total
8,046
Protected Accounts
7.97% of total
4 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 | 14,104,033 | Wrestler | Wrestling, Motivation, Self-promotion |
| @bysTaXx | 4,542,372 | YouTuber | Videos, Business, Internet |
| @cavs | 3,346,839 | Sports Team | Basketball, NBA, G League |
| @PabloIglesias | 2,711,715 | Politician | politics, journalism, Star Wars |
| @BrooklynNets | 2,022,980 | Sports Team | Basketball, Nets Level, Brooklyn |
| @JCrossover | 1,651,906 | Basketball Player | Basketball, Identity, Love |
| @OrlandoMagic | 1,627,927 | Sports Team | Basketball, Orlando, Brazil |
| @ATLHawks | 1,572,389 | Sports Team | Basketball, Atlanta, True fans |
| @RexChapman | 1,255,129 | Commentator | Basketball, Horse racing, Commentary |
| @MarcGasol | 1,202,596 | Basketball Player | Basketball, Sailing, Wine |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,452
Followers With Bio
49,546
Followers Without Bio
50.94%
% With Bio
49.06%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,246 analyzed87,328
Combined Engagement
31,521
Total Likes
55,807
Total Retweets
17,466
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @Lakers: Today and Forever ♾️ https://t.co/0iV6av8PpX
El DISCURSO de PAU GASOL 💛💜 Completo y traducido. Así ha sido el emotivo momento de @PauGasol. #GraciasPau | #Gasol16 https://t.co/rwpxd5nO3r
💛 💜 #GraciasPau https://t.co/y2GWKyLA3u
RT @KingJames: Man that's SIMPLY INSANE!!!! 🤣🤣🤣🤣🤣🤣🤣🤣🤣
RT @Lakers: Together in the rafters 💜💛 https://t.co/24JHyDeBeD
Key Insights & Takeaways
The account focuses on emotional and significant player moments, which resonate well with the audience. It uses hashtags and links to increase visibility and drive traffic to external content. Engagement is high, suggesting that the audience values personal and heartfelt content from NBA players.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 396,984
- + 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 @NBAspain reveals an well-established Twitter presence with 396,984 followers. The account demonstrates a content-creator strategy, averaging 223.1 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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