FNAC Portugal
Cultura, Lazer e Tecnologia. #CultivaADiferença Esclarece as tuas dúvidas em https://ajuda.fnac.pt/hc/pt-pt
179,564
Followers
312
Following
4,511
Tweets
38.6
Avg Engagement
401
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @fnacportugal'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:2009-01-31
- Verification:No
- Location:Portugal
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:15.3
- Avg Retweets per Tweet:23.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe account shows consistent engagement with an average of 1,719 likes and 378 retweets per tweet, indicating a loyal and active follower base.
15.3
Avg Likes/Tweet
23.3
Avg Retweets/Tweet
49,651
Total Likes
75,686
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
25,355
Top Tweet
0.21
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
67.0%
Original
26.5%
Replies
2.3%
Retweets
4.2%
Quotes
0.0%
Threads
0.3%
With Media
82.8%
With Links
31.2%
With #Tags
46.5%
With @Mentions
30.6%
With Emojis
119
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
1.86
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
94.4%
Weekday Posts
5.6%
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 74 retweets (2% 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 audience is likely students, book lovers, and music fans, particularly interested in Portuguese culture and entertainment.
Below Average
Audience Quality
39.0%
Suspicion Index
57.8%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.7%
Empty Bio
66.2%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
74.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
53.0%
<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.
8,882,241
Total Potential Reach
3
Median Follower Reach
15
75th Percentile Reach
1.4%
>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).
18.4%
Creators
9,212 accounts
15.4%
Consumers
7,711 accounts
66.2%
Dormant
33,077 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):
24
Verified Followers
0.02% of total
5,903
Protected Accounts
5.9% of total
7 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 |
|---|---|---|---|
| @CSuiteConfess | 1,001,895 | Executive Coach | #MeToo, Executives, Navigating |
| @nonprofitorgs | 773,906 | Nonprofit Advocate | Nonprofits, Digital Marketing, Fundraising |
| @rockinriolisboa | 372,380 | Event Organizer | Music, Festival, Photography |
| @nqtv | 366,451 | Comedian | Pranks, Comedy, Activism |
| @sapo | 287,912 | News portal | News, Entertainment, Technology |
| @Yubbie007 | 256,419 | Influencer | Fashion, Cool, Culture |
| @antena3rtp | 204,202 | Media | News, Entertainment, Television |
| @paulonunosousa | 148,504 | Musician | Music, Love, Listening |
| @KikoisHot | 143,684 | Influencer | podcast, 🔥, humor |
| @AaronMSanchez | 136,320 | Media Personality | Radio, Television, Producer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
27,234
Followers With Bio
72,766
Followers Without Bio
27.23%
% With Bio
72.77%
% 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 analyzed65,920
Combined Engagement
9,639
Total Likes
56,281
Total Retweets
13,184
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @TheAcademy: And the Oscar goes to... https://t.co/M7o7QJKacs
RT @TheAcademy: Congratulations to the Best Picture nominees #OscarNoms https://t.co/KF8m9vaM5h
RT @Eurovision: The WINNER of the #ESC2017 is Portugal! CONGRATULATIONS Salvador Sobral!!! #CelebrateDiversity https://t.co/uMvU4fFf9Z
Os livros que tens por ler quando chegas a casa com novos: https://t.co/6wsOg3szU3
Hey, ARMY! Já viste o que chegou à FNAC? 😉 O novo álbum dos BTS já está em pré-venda aqui: https://t.co/mj4r0za6Dm https://t.co/5rravQ2UZs
Key Insights & Takeaways
The account frequently shares book recommendations and literary content, which suggests a focus on education and personal development. It also engages with popular K-pop groups like BTS, indicating an interest in entertainment and youth culture. The use of hashtags and links to product pages suggests a commercial intent to drive traffic and sales.
Strengths
- + Established follower base of 179,564
- + 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 @fnacportugal reveals an growing Twitter presence with 179,564 followers. The account demonstrates a content-creator strategy, averaging 38.6 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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