FFW Fashion Forward
Do moletom à alta costura, tudo é moda. Compartilhando cultura de moda e fomentando novos talentos desde 2009.
268,318
Followers
789
Following
21,967
Tweets
99.6
Avg Engagement
1,025
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FFWoficial'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:2008-03-19
- Verification:No
- Location:Sao Paulo, Brazil
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:23.7
- Avg Retweets per Tweet:75.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsThe account maintains a steady level of engagement, with a focus on sharing visually appealing content and trending fashion moments. The engagement is driven by celebrity collaborations and high-profile events.
23.7
Avg Likes/Tweet
75.9
Avg Retweets/Tweet
76,817
Total Likes
246,510
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
12
75th Percentile
84,516
Top Tweet
0.37
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
85.2%
Original
11.5%
Replies
3.0%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
95.7%
With Links
40.1%
With #Tags
25.8%
With @Mentions
6.9%
With Emojis
132
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
90.4%
Weekday Posts
9.6%
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 99 retweets (3% 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 audience is primarily interested in high fashion, celebrity culture, and luxury brands. They are likely fashion enthusiasts, trend followers, and those interested in the Met Gala and similar events.
Below Average
Audience Quality
35.9%
Suspicion Index
49.7%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.1%
Empty Bio
59.3%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
71.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
No URL
46.2%
<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.
11,505,896
Total Potential Reach
4
Median Follower Reach
27
75th Percentile Reach
2.1%
>1K followers
0.2%
>10K followers
0.1%
>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).
24.4%
Creators
12,222 accounts
16.3%
Consumers
8,131 accounts
59.3%
Dormant
29,647 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):
29
Verified Followers
0.03% of total
6,614
Protected Accounts
6.61% of total
6 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 |
|---|---|---|---|
| @carlinhosbrown | 1,981,124 | Musician | music, culture, art |
| @gusrochaa | 1,792,358 | Influencer | friendship, email, Brazil |
| @AndreiaSadi | 1,307,431 | Journalist | Politics, Journalism, News |
| @adidasbrasil | 960,372 | Sports Brand | Esporte, Mudar vidas |
| @criolomc | 660,085 | Musician | Music, Entertainment, Television |
| @lucianopotter | 469,503 | Comunicador | Comunicador, jornalista, podcaster |
| @THE_THEO_FORD | 468,943 | - | - |
| @armandoaraiza | 426,106 | Actor | Productor, Actor, Comunicador |
| @rivalcir | 375,314 | Inspirational Speaker | #rivalcir, #misturaboa, Facebook |
| @chrisleao | 370,211 | DJ | Music, DJing, Electronic |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,534
Followers With Bio
62,466
Followers Without Bio
37.53%
% With Bio
62.47%
% 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 3,246 analyzed211,673
Combined Engagement
0
Total Likes
211,673
Total Retweets
42,335
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
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RT @emicida: por quê eu não vou nos protestos de domingo! https://t.co/Q35XoOEXAO
RT @mireillecharper: For people who actively want to be support and be an ally right now, I have written a thread. https://t.co/kTvDgXXO5L
RT @MarceloAdnet: Arquivo Confidencial com o presidente no #SintaSeEmCasa Pgm completo https://t.co/t26nDkk4gq https://t.co/t3jPIJhhE5
RT @yacanera: Todo mundo precisa que ver isso aqui. Potente, necessário, histórico. Seu Jorge é gigante. https://t.co/FM0B6vwvcp
Key Insights & Takeaways
The account frequently highlights celebrity fashion moments and high-profile events like the Met Gala. It emphasizes luxury fashion and collaborations with top designers and influencers. It has a strong presence in the Brazilian fashion scene and promotes emerging talents.
Strengths
- + Established follower base of 268,318
- + 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 @FFWoficial reveals an growing Twitter presence with 268,318 followers. The account demonstrates a content-creator strategy, averaging 99.6 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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