Fran Newman-Young
Luxury ⚜ Lifestyle ⚜ Fashion ⚜ Travel ❤️ London's @dybrkr Producer ❤️ @HuffPost Contributor https://www.facebook.com/unsupportedbrowser
101,981
Followers
1,842
Following
7,943
Tweets
228.9
Avg Engagement
144
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @francesca_ny'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:2009-10-06
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,179
- Avg Likes per Tweet:19.2
- Avg Retweets per Tweet:209.7
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,179 tweetsHer tweets receive a moderate to high level of engagement, with an average of 463 likes and 257 retweets. The engagement is likely driven by her personal anecdotes and media reviews.
19.2
Avg Likes/Tweet
209.7
Avg Retweets/Tweet
61,194
Total Likes
666,625
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
22
75th Percentile
167,462
Top Tweet
2.24
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
66.0%
Original
19.9%
Replies
10.9%
Retweets
3.1%
Quotes
0.0%
Threads
0.5%
With Media
52.2%
With Links
27.9%
With #Tags
56.9%
With @Mentions
41.6%
With Emojis
90
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.7%
Weekday Posts
23.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,179 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 346 retweets (11% 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 3,179 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 9,998 followersHer audience is primarily interested in lifestyle and fashion content, with a strong presence in London and New York. The audience appears to be engaged with both personal stories and curated reviews.
Average
Audience Quality
25.6%
Suspicion Index
28.8%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.5%
Empty Bio
22.9%
<10 Tweets
17.7%
Mass Following (>2K)
0.0%
New (<90 days)
52.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.5%
No URL
13.2%
<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.
32,918,453
Total Potential Reach
54
Median Follower Reach
220
75th Percentile Reach
8.3%
>1K followers
2.2%
>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).
50.4%
Creators
5,040 accounts
26.7%
Consumers
2,666 accounts
22.9%
Dormant
2,292 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):
34
Verified Followers
0.34% of total
1,567
Protected Accounts
15.67% of total
9 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 |
|---|---|---|---|
| @GordonRamsay | 7,685,304 | Chef | Cooking, Food, Restaurants |
| @Channel4News | 2,470,737 | Journalist | News, Stories, Inspire |
| @RepSwalwell | 1,510,087 | Politician | Politics, Family, California |
| @British_Airways | 1,444,325 | Airline | Travel, Customer Service, Aviation |
| @SinghLions | 1,330,898 | Restaurateur | Food, Travel, Influencer |
| @Kathbum | 782,341 | Comedian | comedy, life, message |
| @paul_steele | 645,552 | Travel Blogger | Travel, hiking, photography |
| @Zoosk | 513,135 | Dating App | dating, matchmaking, singles |
| @THE_THEO_FORD | 472,447 | - | - |
| @DavidHasselhoff | 449,463 | Actor | SEE IT, BELIEVE IT, LIVE IT |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,555
Followers With Bio
4,445
Followers Without Bio
55.55%
% With Bio
44.45%
% 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 3,179 analyzed442,038
Combined Engagement
0
Total Likes
442,038
Total Retweets
88,408
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @doodlewhale: That wholesome feeling when you think you are contributing but you really have no idea what you are doing. https://t.co/80JzQKrdkH
RT @StephenKing: Hope you enjoyed Obama's speech. You won't hear anything so cogent and kind for a long time. So, with complete sincerity: THANKS, OBAMA.
RT @ImACultHero: Just learned that Cheetahs are really nervous animals, and some zoos give them "support dogs" to relax https://t.co/NbqYZgmu7H
RT @davpope: Can't sleep tonight, thoughts with my French cartooning colleagues, their families and loved ones #CharlieHebdo http://t.co/LqIMRCHPgK
RT @BBCNewsnight: Emma Thompson tells us the Harvey Weinstein allegations are just the tip of the iceberg of a wider and systemic problem in Hollywood https://t.co/VDxswrUP5Z
Key Insights & Takeaways
She frequently shares personal experiences and emotional content, which resonates with her audience. Her collaborations with media outlets like The Huffington Post suggest a professional and credible brand image. She uses a mix of personal and professional content to maintain audience interest and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 101,981
- + 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 @francesca_ny reveals an well-established Twitter presence with 101,981 followers. The account demonstrates a content-creator strategy, averaging 228.9 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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