Jemma Lucy
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298,266
Followers
1,482
Following
67,318
Tweets
998.6
Avg Engagement
597
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jem_lucy'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:2010-04-05
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:21.9
- Avg Retweets per Tweet:976.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsHer tweets typically receive around 2,463 likes and 282 retweets on average, showing consistent engagement. The high interaction suggests her content resonates well with her followers.
21.9
Avg Likes/Tweet
976.7
Avg Retweets/Tweet
70,812
Total Likes
3,164,519
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
574
Median Retweets
1,175
75th Percentile
21,808
Top Tweet
3.35
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
2.3%
Original
0.9%
Replies
96.8%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
89.6%
With Links
0.1%
With #Tags
97.1%
With @Mentions
57.9%
With Emojis
88
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
65.7%
Weekday Posts
34.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 3,135 retweets (97% 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 3,240 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 narratives, visual content, and topics related to body image and intimacy. They engage actively with her posts, indicating a loyal and interactive fan base.
Below Average
Audience Quality
40.1%
Suspicion Index
57.5%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
71.2%
Empty Bio
55.2%
<10 Tweets
16.6%
Mass Following (>2K)
0.0%
New (<90 days)
70.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
43.9%
<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.
31,316,823
Total Potential Reach
31
Median Follower Reach
73
75th Percentile Reach
2.0%
>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).
26.4%
Creators
13,201 accounts
18.4%
Consumers
9,197 accounts
55.2%
Dormant
27,602 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):
249
Verified Followers
0.25% of total
21,894
Protected Accounts
21.69% 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 |
|---|---|---|---|
| @JDaIey | 1,230,300 | - | - |
| @marnie | 949,129 | TV Personality | TV, Business, Enquiries |
| @ivyvyxxx | 886,257 | Adult entertainer | 18+, OnlyFans, Media |
| @ZachBoychuk | 829,089 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @keighlanight1 | 728,261 | Adult Model | dancer, content maker, adult model |
| @MoonAlessdra | 700,986 | Adult entertainer | Gaming, OnlyFans, Contests |
| @LissaAires1 | 698,720 | Adult Entertainer | Combat sports, XXX content, Fanatic |
| @KeiranLee | 679,902 | Adult Film Star | Adult entertainment, performer, director |
| @venuscvlt | 675,727 | Fitness influencer | Fitness, Wellness, Health |
| @Polish_Loca | 647,629 | Flight Attendant | Onlyfans, Flight Attendant, Poland |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
30,677
Followers With Bio
70,255
Followers Without Bio
30.39%
% With Bio
69.61%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,240 analyzed99,955
Combined Engagement
0
Total Likes
99,955
Total Retweets
19,991
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @brownandsweet7: The 🐱 and the face 💖 https://t.co/Y7BZeEwjBV
RT @xprettyx20: Waiting for you to cum sub 😌 https://t.co/6i90oyA9SC
RT @xprettyx20: Waiting for you to cum sub 😌 https://t.co/6i90oyA9SC
RT @xprettyx20: Waiting for you to cum sub 😌 https://t.co/6i90oyA9SC
RT @whynoodlesss3: Let’s play naughty games together? :3 https://t.co/WbGgYKNXkh
Key Insights & Takeaways
Her content often includes personal and candid moments, which likely drive engagement. She uses visual content effectively to capture attention and encourage interaction. Her focus on body positivity and intimacy may attract a specific audience interested in these themes.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 298,266
- + 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 @jem_lucy reveals an well-established Twitter presence with 298,266 followers. The account demonstrates a content-creator strategy, averaging 998.6 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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