Emma Vardy
LA Correspondent at BBC News ☀️🌴 New mama on mat leave. Forever chasing stories & waves 🏄♀️
58,521
Followers
3,072
Following
10,257
Tweets
443.9
Avg Engagement
398
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EmmaVardyTV'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: Mid-Tier (10K+)
- Account Age:2010-10-14
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:97.2
- Avg Retweets per Tweet:346.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,245 tweetsEmma's tweets receive a high number of likes on average, indicating strong audience approval. Retweets are moderate, suggesting her content is shared but not viral.
97.2
Avg Likes/Tweet
346.7
Avg Retweets/Tweet
315,453
Total Likes
1,125,096
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
5
Median Retweets
94
75th Percentile
210,772
Top Tweet
7.59
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
30.7%
Original
28.3%
Replies
33.8%
Retweets
7.2%
Quotes
0.0%
Threads
0.7%
With Media
65.0%
With Links
19.1%
With #Tags
65.7%
With @Mentions
34.6%
With Emojis
161
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.92
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.6%
Weekday Posts
23.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 1,096 retweets (34% 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 3,245 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 10,000 followersHer audience includes news enthusiasts, followers of personal storytelling, and those interested in social issues. The audience is likely diverse, with a mix of international and local followers.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
86
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.2%
No URL
100.0%
<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.
29,352,586
Total Potential Reach
86
Median Follower Reach
334
75th Percentile Reach
11.2%
>1K followers
1.8%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,327
Protected Accounts
13.27% of total
8 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 | 14,091,099 | Wrestler | Wrestling, Motivation, Self-promotion |
| @radioleary | 2,637,306 | - | - |
| @mrjamesob | 1,153,417 | Radio Host | Politics, Radio, Author |
| @eliistender10 | 406,452 | Author | Books, Podcasting, Music |
| @bbclysedoucet | 340,425 | Journalist | Journalism, International Affairs, Travel |
| @BenCrellin | 250,833 | Statistician | Fantasy Football, Spreadsheets, FPL Calendar |
| @InstituteGC | 239,428 | Consultant | Leadership, Government, People |
| @adamboultonTABB | 225,862 | Journalist | Politics, News, Media |
| @phlaimeaux | 209,790 | - | - |
| @junaidmuhammadd | 203,703 | Journalist | News, Reporting, Journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,602
Followers With Bio
4,398
Followers Without Bio
56.02%
% With Bio
43.98%
% 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 3,245 analyzed611,271
Combined Engagement
0
Total Likes
611,271
Total Retweets
122,254
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @BBCBreaking: Queen Elizabeth II, the UK’s monarch for the past 70 years, has died aged 96 https://t.co/nuFdc3PV49
RT @paddingtonbear: Thank you Ma’am, for everything.
RT @captaintommoore: https://t.co/4QHUcwrHiH
RT @MissyElliott: 👍🏾🙂 https://t.co/YfNIpZK3u2
RT @davidmackau: this remains an all-time story about the queen https://t.co/hI2yNUac0H
Key Insights & Takeaways
Her personal life and motherhood are significant parts of her content, which adds a human element to her professional work. She often shares emotional and impactful stories, which resonate with her audience. Her use of personal experiences alongside news highlights a balance between professional and personal branding.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,521
- + 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 @EmmaVardyTV reveals an well-established Twitter presence with 58,521 followers. The account demonstrates a content-creator strategy, averaging 443.9 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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