Steelers en Español
Cuenta oficial de los Pittsburgh Steelers en Español. Campeones Del Mundo: IX, X, XIII, XIV, XL, XLIII.
55,270
Followers
274
Following
9,641
Tweets
248.8
Avg Engagement
213
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LosSteelers'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: Mid-Tier (10K+)
- Account Age:2015-09-18
- Verification:No
- Location:Pittsburgh, PA
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:142.5
- Avg Retweets per Tweet:106.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,240 tweetsThe account maintains a consistent level of engagement with an average of 3,404 likes and 662 retweets per tweet. It uses hashtags and links to boost interaction and reach.
142.5
Avg Likes/Tweet
106.3
Avg Retweets/Tweet
461,723
Total Likes
344,437
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
58
Median Likes
10
Median Retweets
235
75th Percentile
10,300
Top Tweet
4.5
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
60.4%
Original
2.4%
Replies
29.4%
Retweets
7.7%
Quotes
0.0%
Threads
0.2%
With Media
92.6%
With Links
43.4%
With #Tags
53.0%
With @Mentions
47.2%
With Emojis
108
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
56.6%
Weekday Posts
43.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 954 retweets (29% 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 3,240 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 10,000 followersThe primary audience is Spanish-speaking fans of the Pittsburgh Steelers, including fans from Mexico and other Spanish-speaking countries. The content is tailored to engage with a passionate and loyal fan base.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
21
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)
93.3%
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.
5,379,054
Total Potential Reach
21
Median Follower Reach
110
75th Percentile Reach
3.8%
>1K followers
0.5%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,101
Protected Accounts
11.01% of total
5 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 |
|---|---|---|---|
| @HectorTrejo | 608,379 | Host | Movies, Performance, Geek |
| @ErnestoCordero | 471,695 | Actuary | Economist, Actuary, Finance |
| @ElPesoPluma | 380,612 | - | - |
| @ProFootballHOF | 316,604 | Sports Organization | Football, Hall of Fame, History |
| @ohthatsNajee22 | 224,877 | Athlete | Football, Bay Area, YAGI |
| @AlcanderLoyola | 185,234 | - | - |
| @CMLL_OFICIAL | 164,255 | Wrestling | Lucha Libre, CMLL, Mexico |
| @ponchovpof | 114,685 | Conductor | Music, Conductor, Art |
| @Pilar__HA | 106,521 | Mamá | Mamá, abuela, Cantante frustrada |
| @palomacorte2 | 99,088 | Abogada | Mamá, Abogado, Profesión |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,797
Followers With Bio
5,203
Followers Without Bio
47.97%
% With Bio
52.03%
% 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 3,240 analyzed42,114
Combined Engagement
0
Total Likes
42,114
Total Retweets
8,423
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @steelers: Statement from Head Coach Mike Tomlin: https://t.co/hI5QaKzBUq
RT @steelers: Thank you, @Jaguars!! #DUUUVAL https://t.co/2WAKX0YdOx
RT @steelers: RT for a chance to win a signed T.J. Watt mini helmet‼️ #ProBowlVote @_TJWatt https://t.co/XyJ1jzXswN
RT @TeamJuJu: Can’t say it enough, I love you Pittsburgh. Came in here a young 20 year old and you guys embraced me from the moment I got here. So much love. Had my back thru everything, all the struggles and success. So hard to leave. See you this Fall in Heinz WE’RE GOIN CRAZY!
RT @steelers: The 🏈 https://t.co/FzZta7tfLv
Key Insights & Takeaways
The account uses Spanish and emojis to create a warm, inclusive atmosphere It leverages cultural events like Independence Day to connect with fans It highlights key players and partners to build community and brand loyalty
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 55,270
- + 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 @LosSteelers reveals an well-established Twitter presence with 55,270 followers. The account demonstrates a content-creator strategy, averaging 248.8 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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