Janet Devlin 🌞
singer / songwriter, online shows every month on https://t.co/bXvtbaXyYH!
255,900
Followers
1,894
Following
48,915
Tweets
244.9
Avg Engagement
701
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JanetJealousy'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:2009-04-26
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:30.2
- Avg Retweets per Tweet:214.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHer tweets receive a steady amount of likes and retweets, indicating a strong and active community. The engagement is consistent, with no major spikes or drops in interaction.
30.2
Avg Likes/Tweet
214.7
Avg Retweets/Tweet
97,942
Total Likes
695,994
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
26
75th Percentile
548,896
Top Tweet
0.96
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
16.2%
Original
33.7%
Replies
31.7%
Retweets
18.4%
Quotes
0.0%
Threads
1.1%
With Media
42.1%
With Links
3.8%
With #Tags
68.6%
With @Mentions
49.4%
With Emojis
89
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.08
Reply/Original Ratio
0.58
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.9%
Weekday Posts
26.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 1,027 retweets (32% 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 3,242 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 followers seem to appreciate her candid and emotional storytelling, often relating to her mental health and self-care topics. The audience appears to be a mix of music enthusiasts and individuals seeking relatable content.
Good
Audience Quality
18.9%
Suspicion Index
23.1%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.3%
Empty Bio
17.0%
<10 Tweets
13.5%
Mass Following (>2K)
0.0%
New (<90 days)
35.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.3%
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.
192,235,478
Total Potential Reach
79
Median Follower Reach
272
75th Percentile Reach
8.3%
>1K followers
1.9%
>10K followers
0.8%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.7%
Creators
31,366 accounts
20.3%
Consumers
10,135 accounts
17.0%
Dormant
8,499 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):
236
Verified Followers
0.24% of total
12,363
Protected Accounts
12.36% of total
10 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 | 14,101,212 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Camila_Cabello | 13,043,295 | Singer | Music, Humanitarian, Fashion |
| @enews | 11,895,262 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @Michael5SOS | 9,974,912 | Musician | music, penguins, person |
| @Caradelevingne | 9,165,007 | - | - |
| @GordonRamsay | 7,696,530 | Chef | Cooking, Food, Restaurants |
| @YouTubeCreators | 6,701,637 | Content Creator | tools, tips, inspiration |
| @TheVampsband | 3,671,203 | Musicians | music, band, tour |
| @Variety | 2,911,399 | Entertainment industry | Entertainment, Business, Variety |
| @russellcrowe | 2,911,078 | Actor | Movies, Music, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,252
Followers With Bio
39,748
Followers Without Bio
60.25%
% With Bio
39.75%
% 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 3,242 analyzed681,468
Combined Engagement
0
Total Likes
681,468
Total Retweets
136,294
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @MarlenaStell: Here’s how the abortion laws affect pregnant women who want their babies. For those still refusing to see how this affect…
RT @MsRebeccaBlack: i was 13 this man is 36
RT @slvppy: boobs give me a reason to keep going
RT @mattxiv: no fucking way lmao https://t.co/DaBv7oULlJ
Key Insights & Takeaways
She uses emojis and casual language to create a friendly and approachable tone. Her content often includes personal reflections and emotional moments, which resonate with her audience. She frequently shares links to her online shows, suggesting a focus on building her brand and community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 255,900
- + 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 @JanetJealousy reveals an well-established Twitter presence with 255,900 followers. The account demonstrates a conversation-first approach, averaging 244.9 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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