sundy jules
instagram sundyjules
477,544
Followers
694
Following
1,837
Tweets
1,194.8
Avg Engagement
100
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SundyJules'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:2011-12-17
- Verification:No
- Location:Paris, France
Data Summary
- Tweets Analyzed:1,759
- Avg Likes per Tweet:786.0
- Avg Retweets per Tweet:408.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,759 tweetsSundyJules' tweets receive strong engagement, with an average of 8,040 likes and 2,402 retweets, indicating a highly interactive and loyal follower base.
786.0
Avg Likes/Tweet
408.8
Avg Retweets/Tweet
1,382,523
Total Likes
719,165
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
201
Median Likes
60
Median Retweets
1,531
75th Percentile
148,502
Top Tweet
2.5
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
74.5%
Original
7.4%
Replies
16.6%
Retweets
1.5%
Quotes
0.0%
Threads
1.3%
With Media
27.9%
With Links
13.8%
With #Tags
30.9%
With @Mentions
33.9%
With Emojis
58
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.1%
Weekday Posts
29.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,759 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 292 retweets (17% 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 1,759 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 appears to be interested in personal stories, emotional content, and public figures, likely drawn to the authenticity and vulnerability in SundyJules' tweets.
Below Average
Audience Quality
36.0%
Suspicion Index
51.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.6%
Empty Bio
63.6%
<10 Tweets
1.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.2%
No URL
49.5%
<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.
7,654,769
Total Potential Reach
2
Median Follower Reach
10
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.0%
>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).
16.7%
Creators
8,352 accounts
19.7%
Consumers
9,852 accounts
63.6%
Dormant
31,796 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):
56
Verified Followers
0.06% of total
11,337
Protected Accounts
11.34% of total
3 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 |
|---|---|---|---|
| @Arthur_Officiel | 1,669,465 | Entertainer | Entertainment, TV, Social Media |
| @UbisoftFR | 1,290,241 | Video Games | Gaming, Support, France |
| @PopCulture2000s | 1,095,015 | Pop Culture Enthusiast | 2000s, pop culture, nostalgia |
| @JadenHeart3 | 490,753 | Adult entertainer | top, nice, naughty |
| @SamsungFR | 402,661 | Technology Company | technology, electronics, innovation |
| @kenzo | 341,869 | Fashion Designer | Fashion, Design, Art |
| @spotifyfrance | 259,844 | Music streaming | Music, France, Listening |
| @DrummaBoyFRESH | 226,465 | Music Producer | Music, Trap, Life |
| @FuzeIII | 190,515 | YouTuber | Youtube, Minecraft, PaladiumPvP |
| @FastGoodCuisine | 173,132 | Chef | Cooking, Food, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,104
Followers With Bio
52,896
Followers Without Bio
47.1%
% With Bio
52.9%
% 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 1,759 analyzed324,670
Combined Engagement
0
Total Likes
324,670
Total Retweets
64,934
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @justinbieber: Retweet this tweet to see this tweet on your twitter when you tweet.
RT @justinbieber: Keeping it positive. Today is a good day
RT @justinbieber: #BIEBER2020 https://t.co/h9gK6305O0
RT @DenisBrogniart: A qui parlez vous avec autant de familiarité jeune homme? A deux doigts d’être un peu vénère!
RT @92_Tzigano: STOPPER TOUT ET LISEZ SA 😂😂😂😂😂😂😂😂😂😂 http://t.co/CmTwptwnOt
Key Insights & Takeaways
The user frequently shares personal and emotional content, which drives high engagement. There is a mix of public and private moments, suggesting a balance between personal expression and public interaction. The use of verified links and heartfelt messages indicates a focus on authenticity and connection with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 477,544
- + 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 @SundyJules reveals an exceptionally influential Twitter presence with 477,544 followers. The account demonstrates a content-creator strategy, averaging 1,194.8 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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