Time Out London
Time Out | Everything you love about London: food, drink, culture and the great outdoors. Dig in, friends.
1,614,506
Followers
5,032
Following
67,087
Tweets
127.5
Avg Engagement
6,679
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TimeOutLondon'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: Mega Influencer (1M+)
- Account Age:2009-03-05
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:11.1
- Avg Retweets per Tweet:116.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives a high number of likes and retweets, indicating strong audience interaction. Its content is well-received and shared widely.
11.1
Avg Likes/Tweet
116.4
Avg Retweets/Tweet
35,926
Total Likes
378,395
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
2
Median Retweets
14
75th Percentile
154,336
Top Tweet
0.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
68.1%
Original
18.2%
Replies
13.6%
Retweets
0.2%
Quotes
0.0%
Threads
1.0%
With Media
83.0%
With Links
5.4%
With #Tags
20.4%
With @Mentions
49.3%
With Emojis
116
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
87.2%
Weekday Posts
12.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 443 retweets (14% 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 3,250 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 likely interested in London's culture, food, and entertainment. They are active on social media and enjoy engaging with content that reflects their city's lifestyle.
Below Average
Audience Quality
38.8%
Suspicion Index
58.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.1%
Empty Bio
65.9%
<10 Tweets
4.8%
Mass Following (>2K)
0.0%
New (<90 days)
71.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
55.2%
<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.
14,095,901
Total Potential Reach
1
Median Follower Reach
19
75th Percentile Reach
2.4%
>1K followers
0.3%
>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).
18.2%
Creators
9,117 accounts
15.8%
Consumers
7,913 accounts
65.9%
Dormant
32,970 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):
671
Verified Followers
0.66% of total
10,427
Protected Accounts
10.32% of total
4 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 | 14,105,505 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Amradib | 4,908,786 | Journalist | Politics, News, Optimism |
| @NOH8Campaign | 801,956 | Activism | equality, bullying, discrimination |
| @iownjd | 779,089 | Lawyer | learn, inspire, engage |
| @windiescricket | 716,604 | Cricket | Cricket, West Indies, News |
| @BBCLondonNews | 563,870 | News Outlet | London, News, Updates |
| @DaveVescio | 539,376 | Actor | Movies, Art, Transformation |
| @wearedore | 481,087 | Fashion Blogger | style, beauty, inspiration |
| @aMonicaBellucci | 446,057 | Actress | Actress, Model, Beauty |
| @gianlucabtc | 431,769 | Crypto Influencer | Crypto, Social Media, NFTs |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,856
Followers With Bio
54,140
Followers Without Bio
46.39%
% With Bio
53.61%
% 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 3,250 analyzed264,899
Combined Engagement
0
Total Likes
264,899
Total Retweets
52,980
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @paddingtonbear: Thank you Ma’am, for everything.
RT @davidmackau: this remains an all-time story about the queen https://t.co/hI2yNUac0H
RT @ChrisJack_Getty: As the flag is lowered to half mast over Windsor Castle an incredible rainbow appears over the castle, for a few minut…
RT @POTUS: Our statement on the death of Queen Elizabeth II. https://t.co/0n7pmVVg2w
RT @RoyalFamily: “Queen Elizabeth was a life well lived; a promise with destiny kept and she is mourned most deeply in her passing. That pr…
Key Insights & Takeaways
The account frequently shares trending and culturally significant content, which drives engagement. It uses a mix of informative and entertaining tweets to maintain audience interest. Collaborations with notable figures or events help boost visibility and credibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,614,506
- + 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 @TimeOutLondon reveals an well-established Twitter presence with 1,614,506 followers. The account demonstrates a content-creator strategy, averaging 127.5 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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