Helen Flanagan
Contact @helenflanaganenquiries@gmail.com ✨
470,617
Followers
1,403
Following
10,948
Tweets
63.1
Avg Engagement
537
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @helenflanagan1'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:2011-05-09
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,142
- Avg Likes per Tweet:31.7
- Avg Retweets per Tweet:31.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,142 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction.
31.7
Avg Likes/Tweet
31.4
Avg Retweets/Tweet
99,499
Total Likes
98,763
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
2
Median Retweets
37
75th Percentile
48,392
Top Tweet
0.13
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
64.7%
Original
24.6%
Replies
10.7%
Retweets
0.0%
Quotes
0.0%
Threads
3.2%
With Media
53.4%
With Links
19.1%
With #Tags
52.5%
With @Mentions
68.4%
With Emojis
70
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.8%
Weekday Posts
31.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,142 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 336 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 3,142 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 a mix of fans and followers interested in personal stories and sports.
Average
Audience Quality
27.5%
Suspicion Index
33.6%
Low-Quality %
41
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
24.2%
<10 Tweets
14.9%
Mass Following (>2K)
0.0%
New (<90 days)
59.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
14.6%
<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.
47,753,318
Total Potential Reach
41
Median Follower Reach
149
75th Percentile Reach
4.2%
>1K followers
0.5%
>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).
51.0%
Creators
25,521 accounts
24.8%
Consumers
12,377 accounts
24.2%
Dormant
12,102 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):
304
Verified Followers
0.3% of total
18,038
Protected Accounts
18.04% 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 |
|---|---|---|---|
| @JohnCena | 14,104,915 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wossy | 4,891,961 | TV Presenter | self-indulgent, Instagram, life |
| @6BillionPeople | 2,036,248 | - | - |
| @chris_kammy | 1,898,980 | Football pundit | Football, TV, Singing |
| @KatiePrice | 1,842,671 | Influencer | YouTube, Subscribe, Channel |
| @BurningPounds | 1,395,922 | Fitness Trainer | Fitness, Nutrition, Motivation |
| @soledadobrien | 1,318,685 | Journalist | working, mom, journalist |
| @LaurenGoodger | 1,093,555 | Influencer | management, reality TV, beauty |
| @CelticFC | 889,772 | Football Club | Football, Charity, Kindness |
| @luxurytravel | 720,219 | Travel Blogger | luxury travel, editor, blog |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,904
Followers With Bio
56,096
Followers Without Bio
43.9%
% With Bio
56.1%
% 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 3,142 analyzed72,711
Combined Engagement
10,214
Total Likes
62,497
Total Retweets
14,542
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @nafsika71: There are two types of men. Presenting exhibits A and B https://t.co/aiZpwrWZH1
Come on @celticfc ☘️❤☘️❤
RT @michkeegan: This HAS to STOP!!! Disgusting, Inhumane and Cruel! These poor dogs get made to fight to save themselves! Please RT! http:/…
RT @Scotty_Sinclair: ...just a shame to end the game and seeing the ignorance of people no matter what team u support there is just no need…
Me and Scott are expecting our first baby in the summer. We are both so happy and so excited xxx 👶❤️
Key Insights & Takeaways
She maintains a personal and emotional tone in her tweets. She often shares updates about her life and family. She engages with her followers by supporting brands and teams.
Strengths
- + Established follower base of 470,617
- + 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 @helenflanagan1 reveals an growing Twitter presence with 470,617 followers. The account demonstrates a content-creator strategy, averaging 63.1 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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