Deportivo Saprissa 💜
Twitter oficial del 38 veces campeón de Costa Rica 🏆
259,532
Followers
672
Following
73,013
Tweets
185.0
Avg Engagement
383
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SaprissaOficial'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:2009-09-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:177.1
- Avg Retweets per Tweet:7.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe account shows high engagement with its tweets, indicating a loyal and active fan base. The use of hashtags and links to multimedia content further enhances interaction and visibility.
177.1
Avg Likes/Tweet
7.8
Avg Retweets/Tweet
575,376
Total Likes
25,347
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
76
Median Likes
2
Median Retweets
216
75th Percentile
4,337
Top Tweet
0.71
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
83.3%
Original
4.5%
Replies
7.4%
Retweets
4.8%
Quotes
0.0%
Threads
0.0%
With Media
72.6%
With Links
12.7%
With #Tags
15.4%
With @Mentions
86.9%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.64
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
54.9%
Weekday Posts
45.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 241 retweets (7% 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 3,248 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 consists of football fans in Costa Rica and beyond, particularly those interested in the club's achievements and updates. The content is likely shared by fans who are passionate about the team's success and history.
Below Average
Audience Quality
44.1%
Suspicion Index
65.7%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.8%
Empty Bio
75.5%
<10 Tweets
4.8%
Mass Following (>2K)
0.0%
New (<90 days)
83.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.4%
No URL
64.7%
<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.
19,904,215
Total Potential Reach
1
Median Follower Reach
7
75th Percentile Reach
0.7%
>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).
11.5%
Creators
5,762 accounts
12.9%
Consumers
6,474 accounts
75.5%
Dormant
37,764 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):
49
Verified Followers
0.05% of total
7,267
Protected Accounts
7.2% of total
3 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 | 14,100,547 | Wrestler | Wrestling, Motivation, Self-promotion |
| @miguelhotero | 1,929,371 | Journalist | Politics, Journalism, Leadership |
| @IamMzilikazi | 546,904 | Musician | Pan-African music, Album, Rise |
| @jerofreixas | 516,371 | Comedian | Deporte, Humor, Videos |
| @aagulla_TV | 485,878 | Sports Journalist | Deportes, Periodismo, Emmy |
| @CelsoBorgesCR | 459,417 | Futbolista | Football, World Cup, Liga Alajuelense |
| @GlendaAhora | 213,778 | - | - |
| @La_Republica | 198,650 | News Outlet | economy, finance, business |
| @PhilaUnion | 177,386 | Sports Team | Soccer, Philadelphia, Fans |
| @RaoulPolloOrtiz | 176,993 | Sports Commentator | Sports, Mexican culture, Broadcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,173
Followers With Bio
56,821
Followers Without Bio
43.74%
% With Bio
56.26%
% 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 3,248 analyzed17,433
Combined Engagement
15,409
Total Likes
2,024
Total Retweets
3,487
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
SOOOOOMOSSS CAMPEEEEONES OTRA VEEEEEEEEZ 🏆
#NuevaFotoDePerfil https://t.co/44W56lZgES
El grito sonó, La Cueva retumbó, la flama se levantó… EL MONSTRUO MORADO HA SIDO INVOCADO 🔥 https://t.co/N6K0TRo0k1
Así lo vivió esta familia 🇨🇷🛫🇶🇦 💜 Like si vos lo gritaste igual. https://t.co/E27uUe9qQ2
HOOOY, MAÑANAAA Y SIEMPREEEEEE 💜 Somos Campeones Otra Vez, somos oficialmente #INALCANZABLES 🏆🏆🏆🏆🏆🏆🏆 https://t.co/N4WvOQIxX1
Key Insights & Takeaways
The account frequently celebrates major victories, which resonates strongly with its audience. It uses emojis and expressive language to create an emotional connection with fans. The inclusion of multimedia links suggests a focus on visual storytelling and real-time updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 259,532
- + 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 @SaprissaOficial reveals an well-established Twitter presence with 259,532 followers. The account demonstrates a content-creator strategy, averaging 185.0 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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