Project Runway
Official page of #ProjectRunway, #PRAllStars & #ProjectRunwayJunior!
284.434
Followers
4.728
Following
33.857
Tweets
65,5
Avg Engagement
2.522
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ProjectRunway'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:2009-06-03
- Verification:No
- Location:New York City
Data Summary
- Tweets Analyzed:3.122
- Avg Likes per Tweet:50,1
- Avg Retweets per Tweet:15,3
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.122 tweetsThe account has a steady level of engagement with average likes and retweets, indicating a loyal and active follower base. It often interacts with notable figures and collaborators.
50,1
Avg Likes/Tweet
15,3
Avg Retweets/Tweet
156.503
Total Likes
47.885
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
5
Median Retweets
65
75th Percentile
4.361
Top Tweet
0,23
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
55,6%
Original
2,9%
Replies
41,4%
Retweets
0,1%
Quotes
0,0%
Threads
0,2%
With Media
67,4%
With Links
88,9%
With #Tags
69,7%
With @Mentions
25,3%
With Emojis
101
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,05
Reply/Original Ratio
0,0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92,3%
Weekday Posts
7,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.122 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 1.294 retweets (41% 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 3.122 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 includes fashion enthusiasts, reality TV fans, and followers of the show's contestants. It also attracts fans of special guests and collaborators.
Average
Audience Quality
27,3%
Suspicion Index
35,3%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45,5%
Empty Bio
35,1%
<10 Tweets
9,2%
Mass Following (>2K)
0,0%
New (<90 days)
56,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
86,9%
No URL
25,2%
<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.
53.926.107
Total Potential Reach
18
Median Follower Reach
110
75th Percentile Reach
4,7%
>1K followers
0,6%
>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).
46,2%
Creators
23.105 accounts
18,7%
Consumers
9.346 accounts
35,1%
Dormant
17.549 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):
177
Verified Followers
0.18% of total
11.170
Protected Accounts
11.06% 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 | 14.102.338 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TwitterTV | 9.046.500 | - | - |
| @younghollywood | 2.297.971 | Entertainment | Celebrities, Entertainment, Pop Culture |
| @macklemore | 2.170.897 | Rapper | music, fashion, activism |
| @OleItumbi | 2.151.513 | Strategist | Politics, Communication, Farming |
| @6BillionPeople | 2.035.337 | - | - |
| @KameronBennett | 1.812.669 | DJ | Music, DJing, Booking |
| @SiriouslySusan | 1.775.792 | Voice Actor | Voice acting, singing, speaking |
| @cocorocha | 1.498.731 | Model | Fashion, Modeling, Mentorship |
| @Lesdoggg | 1.402.062 | Comedian | Comedy, Stand-up, Actress |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51.533
Followers With Bio
49.466
Followers Without Bio
51.02%
% With Bio
48.98%
% 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 3.122 analyzed14.638
Combined Engagement
4.358
Total Likes
10.280
Total Retweets
2.928
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @TheEllenShow: The only thing more fun than dressing as @Sia for Halloween is watching @HeidiKlum dance around to “Chandelier." https://…
RT @ddlovato: Don’t miss @ProjectRunway tonight!! We’re bringing sleepwear to the runway 💃💗 Tune-in at 9/8c on @lifetimetv! https://t.co/VY…
This is going to be a real GOOD challenge with an evil twist 😈 @ninagarcia @DoveCameron https://t.co/QJW4xd3aZz
RT @PlayersTribune: Hannah and Derek Jeter share their next chapter: https://t.co/ZY6aDhRQH6 https://t.co/5heb7MTobQ
Many kisses and good wishes to @TimGunn on his Birthday! 😚 https://t.co/2UJYwMqwqw
Key Insights & Takeaways
The account frequently highlights challenges and twists, which are key elements of the show's appeal. It engages with celebrities and collaborators, enhancing its visibility and credibility. Promotional content for special episodes and guests drives interest and maintains audience excitement.
Strengths
- + Established follower base of 284.434
- + 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 @ProjectRunway reveals an growing Twitter presence with 284.434 followers. The account demonstrates a content-creator strategy, averaging 65,5 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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