Lauren Goodger♥
1.070.596
Followers
962
Following
23.915
Tweets
161,2
Avg Engagement
933
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LaurenGoodger'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:2009-06-13
- Verification:No
- Location:Essex,London
Data Summary
- Tweets Analyzed:3.064
- Avg Likes per Tweet:30,8
- Avg Retweets per Tweet:130,4
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.064 tweetsHer tweets show moderate to high engagement, with a consistent number of likes and retweets. The engagement suggests her audience is active and responsive to her content.
30,8
Avg Likes/Tweet
130,4
Avg Retweets/Tweet
94.413
Total Likes
399.618
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
50
75th Percentile
114.016
Top Tweet
0,15
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
44,7%
Original
5,5%
Replies
41,9%
Retweets
8,0%
Quotes
0,0%
Threads
1,0%
With Media
48,0%
With Links
28,7%
With #Tags
66,7%
With @Mentions
51,2%
With Emojis
105
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,12
Reply/Original Ratio
0,19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,5%
Weekday Posts
24,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.064 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 1.283 retweets (42% 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 3.064 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 followersHer audience appears to be interested in personal stories, public figures, and social commentary. They engage with her content, indicating a level of interest in her perspective.
Average
Audience Quality
34,2%
Suspicion Index
41,7%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54,5%
Empty Bio
42,3%
<10 Tweets
12,9%
Mass Following (>2K)
0,0%
New (<90 days)
72,3%
Low Ratio (<0.1)
0,0%
New (<180 days)
93,1%
No URL
28,8%
<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.
42.399.376
Total Potential Reach
14
Median Follower Reach
72
75th Percentile Reach
2,5%
>1K followers
0,4%
>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).
32,4%
Creators
16.198 accounts
25,3%
Consumers
12.669 accounts
42,3%
Dormant
21.133 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):
280
Verified Followers
0.28% of total
15.359
Protected Accounts
15.36% of total
7 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 | 14.105.485 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DJPaulyD | 3.606.492 | DJ | Music, DJing, Booking |
| @6BillionPeople | 2.037.050 | - | - |
| @thesecret | 1.311.451 | Self-help | self-help, manifestation, spirituality |
| @MTVMusicUK | 1.274.035 | Entertainment | Music, Entertainment, UK |
| @kirk_official | 1.046.457 | - | - |
| @larrykim | 729.370 | Entrepreneur | Startups, AdWords, Chatbots |
| @ericschiffer | 686.370 | CEO | business, media, author |
| @RickyRayment | 594.510 | Entrepreneur | Football, Motivation, Entertainment |
| @RealDeniseWelch | 555.915 | Author | Books, Acting, Writing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
45.640
Followers With Bio
54.360
Followers Without Bio
45.64%
% With Bio
54.36%
% 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 3.064 analyzed228.777
Combined Engagement
0
Total Likes
228.777
Total Retweets
45.755
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @doglab: Please retweet if you think there should be a global ban on trophy hunting. https://t.co/C8mu17FKgm
RT @Gotham3: 29 whales were found dead on the shores of Germany, their stomachs filled with plastic waste dumped in the sea. https://t.co/x…
RT @lucy_meck: Please RT or like if u want Roxanne removed. I don’t think she is mentally fit to be in the house. #cbb #getroxyout
RT @khloekardashian: I was so nervous to post our announcement but WOWWW I am overwhelmed with the response by you guys!!! Thank you! Thank…
RT @FreakyTheory: How zoos should be https://t.co/uYsjvkoZ12
Key Insights & Takeaways
She often shares personal reflections and opinions on beauty standards and self-image. Her tweets frequently address public figures and events, indicating a focus on current issues. She uses links and emojis to enhance her messages, suggesting an attempt to connect with her audience in a more personal way.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1.070.596
- + 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 @LaurenGoodger reveals an well-established Twitter presence with 1.070.596 followers. The account demonstrates a content-creator strategy, averaging 161,2 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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