Portland Trail Blazers
PNW hoops since 1970.
1,556,934
Followers
7,480
Following
102,032
Tweets
403.6
Avg Engagement
7,468
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @trailblazers'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:2007-05-28
- Verification:No
- Location:Portland, Ore.
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:361.3
- Avg Retweets per Tweet:42.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account averages over 10,000 likes and 1,200 retweets per tweet, indicating strong audience interaction. It frequently shares content that resonates with its followers, such as tributes and player celebrations.
361.3
Avg Likes/Tweet
42.3
Avg Retweets/Tweet
1,174,225
Total Likes
137,377
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
174
Median Likes
15
Median Retweets
370
75th Percentile
35,087
Top Tweet
0.26
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
81.8%
Original
3.6%
Replies
13.1%
Retweets
1.5%
Quotes
0.0%
Threads
1.0%
With Media
82.8%
With Links
56.2%
With #Tags
42.9%
With @Mentions
39.8%
With Emojis
76
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.8%
Weekday Posts
31.2%
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 427 retweets (13% 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 basketball fans, especially those interested in the Portland Trail Blazers and Pacific Northwest sports. They are likely to be fans of the team, players, and the broader NBA community.
Below Average
Audience Quality
39.7%
Suspicion Index
57.1%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.1%
Empty Bio
63.0%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
81.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
50.1%
<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.
7,576,057
Total Potential Reach
3
Median Follower Reach
17
75th Percentile Reach
1.4%
>1K followers
0.2%
>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).
19.1%
Creators
9,541 accounts
17.9%
Consumers
8,962 accounts
63.0%
Dormant
31,497 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):
381
Verified Followers
0.38% of total
8,184
Protected Accounts
8.1% of total
2 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 |
|---|---|---|---|
| @SPORTTVPortugal | 658,807 | Sports Broadcaster | Sports, Television, Entertainment |
| @uninterrupted | 474,768 | Athlete Empowerment | Athlete empowerment, Brand founders, MoreThanAnAthlete |
| @947 | 447,780 | Radio Station | Music, news, entertainment |
| @Moreno | 430,156 | Influencer | Business, Manager, Serious |
| @oregonfootball | 350,269 | Football | Football, Champions, Rose Bowl |
| @StephenCaggiano | 342,660 | Content Creator | Content creation, Access, Resource for creators |
| @YouTubeTV | 324,023 | Streaming Service | Live TV, Key Plays, Unlimited DVR |
| @siswet | 319,474 | Adult entertainer | Anal, Camming, Pornhub |
| @StephenGlickman | 312,885 | Actor | Big Time Rush, Storks, Party |
| @SBNation | 302,553 | Sports Journalist | Watch Rewinder, Collapse, Untitled |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,761
Followers With Bio
61,238
Followers Without Bio
39.37%
% With Bio
60.63%
% 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 analyzed88,416
Combined Engagement
80,175
Total Likes
8,241
Total Retweets
17,683
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
LEGENDARY. #RipCity https://t.co/BaYNtlqSMK
#NewProfilePic https://t.co/olsT7IDNdZ
Love and congratulations from across the league for Trail Blazers all-time leading scorer, @Dame_Lillard ❤️ https://t.co/Ne1oFbm5vw
JOSH HART!!!!!!!!!!!!!!! #RipCity https://t.co/KChc3YLxit
71 POINTS FOR DAME
Key Insights & Takeaways
The account often shares tributes and memorials, such as #RipCity, which highlights its role in honoring the team's legacy. It uses hashtags and links to engage with its audience and promote specific content. The account frequently celebrates key players, like Damian Lillard, which strengthens its connection with fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,556,934
- + 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 @trailblazers reveals an well-established Twitter presence with 1,556,934 followers. The account demonstrates a content-creator strategy, averaging 403.6 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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