OFFICE Shoes
London's biggest shoe retailer and leading fashion footwear brand. For any service queries or questions please email help@office.co.uk
117,858
Followers
4,414
Following
23,644
Tweets
0.1
Avg Engagement
486
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OfficeShoes'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:2009-02-18
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:0.1
- Avg Retweets per Tweet:0.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsThe account has moderate engagement with an average of 6 likes and 3 retweets per tweet. Engagement seems to be driven by visually appealing content and collaborations with well-known brands.
0.1
Avg Likes/Tweet
0.0
Avg Retweets/Tweet
381
Total Likes
49
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
18
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
4.6%
Original
95.4%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.5%
With Media
3.1%
With Links
0.9%
With #Tags
99.4%
With @Mentions
1.2%
With Emojis
132
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
20.94
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.4%
Weekday Posts
12.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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.
Posting Patterns & Optimal Timing
Based on 3,247 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 10,000 followersThe audience primarily consists of fashion-conscious individuals interested in trendy and high-quality footwear. They are likely active on social media and value exclusivity and style.
Good
Audience Quality
17.2%
Suspicion Index
27.2%
Low-Quality %
83
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.3%
Empty Bio
15.4%
<10 Tweets
7.9%
Mass Following (>2K)
0.0%
New (<90 days)
30.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
9.0%
<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.
5,881,283
Total Potential Reach
83
Median Follower Reach
265
75th Percentile Reach
5.9%
>1K followers
0.5%
>10K followers
0.1%
>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).
66.2%
Creators
6,619 accounts
18.4%
Consumers
1,842 accounts
15.4%
Dormant
1,539 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):
23
Verified Followers
0.23% of total
1,760
Protected Accounts
17.6% 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 |
|---|---|---|---|
| @MoneySavingExp | 585,498 | Financial Advisor | deals, savings, advocacy |
| @THE_THEO_FORD | 472,197 | - | - |
| @Fubarrockchick | 206,396 | Musician | Music, Independence, Politics |
| @afhitcom | 183,592 | Social Media Manager | Social Media, Marketing, Window Cleaning |
| @SneakerDealsGB | 168,313 | Sneaker Reseller | Sneakers, Deals, UK |
| @KarlHughesUK | 153,038 | Actor | Actor, MD, Productions |
| @MSE_Deals | 150,447 | Deals | bargains, codes, discounts |
| @MelissaD89 | 143,011 | Model | modeling, fashion, lifestyle |
| @Liverpool_ONE | 82,179 | Retail | Shopping, Events, Offers |
| @fara_williams47 | 70,480 | Footballer | Football, Olympics, Pundit |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,470
Followers With Bio
4,530
Followers Without Bio
54.7%
% With Bio
45.3%
% 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 3,247 analyzed49
Combined Engagement
36
Total Likes
13
Total Retweets
10
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Discover the latest drop from #Reebok + #CardiB with the collab pack 🔥😎💅 #officelovesreebok https://t.co/NcxRqo2Gom https://t.co/1eL5bkpsnP
Dinner date attire 🖤 'Meredith' Courts are available online and in store now 💫 #officeloves https://t.co/hsQHfhp35N
Rugged and oh so ready for the winter with the #Timberland 'Sky Boot' 🖤 #officelovestimberland https://t.co/xQoLNcbYmJ https://t.co/eymKuWbyOQ
Stomp into summer with #DrMartens 'Ricki' Sandals 🖤 #officelovesdrmartens https://t.co/HmDkVICagQ https://t.co/SCYuX3Unve
These cool new colour iterations of #adidas 'Samba' has just dropped 👟 #officelovesadidas https://t.co/uPfTN0Ivuz https://t.co/6T688Ebu4o
Key Insights & Takeaways
Collaborations with popular brands like Reebok and Adidas significantly boost engagement and visibility. Highlighting limited-edition drops and exclusive releases helps drive traffic to both online and in-store sales. Using eye-catching visuals and hashtags effectively promotes brand awareness and customer interaction.
Strengths
- + Established follower base of 117,858
- + 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 @OfficeShoes reveals an growing Twitter presence with 117,858 followers. The account demonstrates a conversation-first approach, averaging 0.1 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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