3.1 Phillip Lim
The official Twitter page of 3.1 Phillip Lim
56,286
Followers
283
Following
1,303
Tweets
6.7
Avg Engagement
561
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @31philliplim'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:2011-12-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,294
- Avg Likes per Tweet:2.8
- Avg Retweets per Tweet:4.0
- Followers Analyzed:9,998
Engagement Analysis
Based on 1,294 tweetsAverage likes and retweets suggest a moderate level of interaction, with a focus on visual and promotional content.
2.8
Avg Likes/Tweet
4.0
Avg Retweets/Tweet
3,574
Total Likes
5,128
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
7
75th Percentile
120
Top Tweet
0.12
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
64.1%
Original
4.9%
Replies
30.4%
Retweets
0.5%
Quotes
0.0%
Threads
2.2%
With Media
91.0%
With Links
63.4%
With #Tags
60.3%
With @Mentions
1.7%
With Emojis
121
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
95.1%
Weekday Posts
4.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,294 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 393 retweets (30% 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 1,294 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 9,998 followersThe audience likely includes fashion enthusiasts, influencers, and customers interested in luxury and contemporary apparel.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
60
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)
73.7%
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.
44,293,264
Total Potential Reach
60
Median Follower Reach
256
75th Percentile Reach
8.4%
>1K followers
1.8%
>10K followers
0.7%
>50K followers
0.4%
>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
9,998 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
1,728
Protected Accounts
17.28% of total
8 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 | 14,090,629 | Wrestler | Wrestling, Motivation, Self-promotion |
| @UNHumanRights | 4,072,598 | Human Rights | United Nations, Human Rights, StandUp4HumanRights |
| @BrooklynNets | 2,030,824 | Sports Team | Basketball, Nets Level, Brooklyn |
| @wmag | 1,508,503 | Magazine | Music, Fashion, Art |
| @SinghLions | 1,326,588 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1,315,016 | Journalist | working, mom, journalist |
| @vmagazine | 930,206 | Magazine | pop culture, fashion |
| @arden_cho | 845,942 | Actress | Acting, Singing, Fashion |
| @DisneyBrandTVPR | 828,074 | Public Relations | Disney, Television, Communication |
| @NOH8Campaign | 800,078 | Activism | equality, bullying, discrimination |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,382
Followers With Bio
3,618
Followers Without Bio
63.82%
% With Bio
36.18%
% 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 1,294 analyzed493
Combined Engagement
328
Total Likes
165
Total Retweets
99
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
@LilyAldridge wears our 3.1 Phillip Lim Brushed Mohair Dress to the World of Children Hero Awards. https://t.co/arFMOUoOOD
We are very excited to officially announce our upcoming collaboration with @TargetStyle! http://t.co/RL5ceWP7Mh #PhillipLimforTarget
@wmag http://t.co/YfTiVYsD
@Samaustins has a new music video out today. Wearing all #31Fall2018 https://t.co/81uc29gKmR https://t.co/Tcyp5m3fF4
Exclusive Cyber Monday Pashlis available now http://t.co/iDry6PPIyF http://t.co/RnWYGRjHBW
Key Insights & Takeaways
The brand frequently collaborates with influencers and celebrities to promote products. Promotional content, such as Cyber Monday deals, is a key part of their strategy. They emphasize high-quality visuals and brand storytelling to maintain relevance.
Strengths
- + Established follower base of 56,286
- + 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 @31philliplim reveals an growing Twitter presence with 56,286 followers. The account demonstrates a content-creator strategy, averaging 6.7 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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