Stitch Fix
A new way to shop. Curated finds based on your style & lifestyle.
74,800
Followers
4,277
Following
44,942
Tweets
1.7
Avg Engagement
498
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stitchfix'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:2011-07-19
- Verification:No
- Location:San Francisco, CA
Data Summary
- Tweets Analyzed:3,218
- Avg Likes per Tweet:1.5
- Avg Retweets per Tweet:0.2
- Followers Analyzed:9,996
Engagement Analysis
Based on 3,218 tweetsOn average, their tweets receive moderate engagement with likes and retweets, indicating a consistent but not highly viral level of interaction. Their top tweets often focus on brand milestones and social advocacy, which resonate well with followers.
1.5
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
4,908
Total Likes
520
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
108
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
24.1%
Original
75.5%
Replies
0.3%
Retweets
0.1%
Quotes
0.0%
Threads
1.1%
With Media
33.8%
With Links
7.8%
With #Tags
83.6%
With @Mentions
15.2%
With Emojis
172
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.13
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.4%
Weekday Posts
18.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,218 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 10 retweets (0% 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 3,218 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 9,996 followersStitchfix's audience is primarily interested in fashion, personal style, and lifestyle content. They are likely to be fashion-conscious individuals looking for curated recommendations and community engagement.
Good
Audience Quality
19.6%
Suspicion Index
21.9%
Low-Quality %
82
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.0%
Empty Bio
16.3%
<10 Tweets
17.4%
Mass Following (>2K)
0.0%
New (<90 days)
37.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.1%
No URL
9.8%
<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.
28,716,182
Total Potential Reach
82
Median Follower Reach
334
75th Percentile Reach
10.6%
>1K followers
1.8%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
66.2%
Creators
6,615 accounts
17.6%
Consumers
1,755 accounts
16.3%
Dormant
1,626 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):
134
Verified Followers
1.34% of total
1,451
Protected Accounts
14.51% of total
9 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 | 14,097,214 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,328,869 | Restaurateur | Food, Travel, Influencer |
| @NOH8Campaign | 800,414 | Activism | equality, bullying, discrimination |
| @DanceMomHolly | 546,215 | Educator | Dance, Education, Motherhood |
| @KristySwansonXO | 499,921 | Actress | God, Proud Mama, Happy Wife |
| @LGUS | 374,683 | Electronics | Smart Appliances, Electronics, Innovation |
| @EvanKirstel | 348,684 | Tech Influencer | Tech, B2B, Social media |
| @LiquidHbox | 326,396 | Professional Gamer | Super Smash Bros, Gaming, Commentary |
| @ceoworld | 296,419 | CEO | business, leadership, journalism |
| @IamCvind | 255,440 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,604
Followers With Bio
3,396
Followers Without Bio
66.04%
% With Bio
33.96%
% 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 3,218 analyzed385
Combined Engagement
317
Total Likes
68
Total Retweets
77
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
2019: "Leggings aren't pants!" 2020: *only wears leggings*
Today is our 10th birthday! We’re so grateful to all of you for being part of this journey of personal style ❤️ 🎉 💃 https://t.co/SRdnIv0St7
We are excited to launch Elevate: a grant & mentorship program to support early-stage, BIPOC entrepreneurs. Elevate will provide five recipients grants and mentorship, share resources, insights and expertise to help their businesses grow. To apply, visit https://t.co/WSgOWbJF
We’re launching our #FirstDayBack challenge with @Baby2Baby! We’re donating outfits to @Baby2Baby to provide $1+ million in clothing for children in need to ensure all kids start the school year with the essentials they deserve. To join in, share a photo with the #FirstDayBack!
On June 3 we made a series of commitments around empowering the Black community, and bringing our resources, influence and data to bear to help enable systemic change. This is an update on our progress, and our focus on doing more. https://t.co/mWXBYfHvOy https://t.co/HbORfAR8Ay
Key Insights & Takeaways
Their birthday tweet highlights a key milestone and emotional connection with the audience The 'Leggings aren't pants' and 'only wears leggings' tweets showcase a humorous and relatable approach to fashion trends The Elevate program reflects a strategic focus on supporting underrepresented entrepreneurs and building brand credibility
Strengths
- + Established follower base of 74,800
- + High community engagement through conversations
- + 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 @stitchfix reveals an growing Twitter presence with 74,800 followers. The account demonstrates a conversation-first approach, averaging 1.7 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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