Claire Richards
Wife, Mummy, Singer, TV presenter. @OfficialSteps. New album #Euphoria out now!
157,649
Followers
648
Following
24,519
Tweets
98.1
Avg Engagement
453
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_ClaireRichards'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:2009-03-03
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:90.6
- Avg Retweets per Tweet:7.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsClaire's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Her content is engaging and often sparks conversations and humor.
90.6
Avg Likes/Tweet
7.5
Avg Retweets/Tweet
293,888
Total Likes
24,407
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
1
Median Retweets
108
75th Percentile
3,706
Top Tweet
0.62
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
33.8%
Original
61.1%
Replies
3.5%
Retweets
1.6%
Quotes
0.0%
Threads
0.4%
With Media
24.8%
With Links
19.8%
With #Tags
79.8%
With @Mentions
44.9%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.81
Reply/Original Ratio
0.45
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
60.5%
Weekday Posts
39.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 115 retweets (4% 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 3,244 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 includes fans of her music, TV viewers, and followers interested in celebrity life. The audience is likely aged 25-45, with a mix of family-oriented and entertainment-focused users.
Average
Audience Quality
22.9%
Suspicion Index
28.6%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.8%
Empty Bio
17.5%
<10 Tweets
14.0%
Mass Following (>2K)
0.0%
New (<90 days)
49.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
10.3%
<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.
68,241,653
Total Potential Reach
52
Median Follower Reach
193
75th Percentile Reach
6.5%
>1K followers
1.0%
>10K followers
0.3%
>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).
60.8%
Creators
30,382 accounts
21.8%
Consumers
10,889 accounts
17.5%
Dormant
8,729 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):
203
Verified Followers
0.2% of total
18,502
Protected Accounts
18.32% 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 |
|---|---|---|---|
| @lemontwittor | 3,341,221 | Comedian | Comedy, TV Shows, Entertainment |
| @MrPeterAndre | 3,087,779 | Entertainer | Family, Music, Television |
| @Variety | 2,911,987 | Entertainment industry | Entertainment, Business, Variety |
| @radioleary | 2,656,614 | - | - |
| @SarahMillican75 | 2,115,347 | Comedian | Comedy, Feminism, Pets |
| @6BillionPeople | 2,033,239 | - | - |
| @CelebJuice | 1,945,174 | Entertainment | TV, Comedy, Entertainment |
| @KatiePrice | 1,840,886 | Influencer | YouTube, Subscribe, Channel |
| @VickyPattison | 1,808,083 | Reality TV Star | - |
| @Rylan | 1,765,441 | Entertainer | Luxury, Entertainment, Representation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,101
Followers With Bio
50,890
Followers Without Bio
49.61%
% With Bio
50.39%
% 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 3,244 analyzed14,763
Combined Engagement
14,460
Total Likes
303
Total Retweets
2,953
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
I must be getting old! I have no idea what is going on here #thebrits 😳
Who was actually surprised?? 😂😂😂@MaskedSingerUK #Knitting https://t.co/ITY2xMMvE6
Still so confused! #knitting. I don’t think it’s Jane Macdonald anymore 🤔 but who??? @MaskedSingerUK
21 years ago I met the love of my life! We went through a lot over the years and even spent some of it apart BUT 10 years ago today we finally tied the knot and I married my best friend. Our little family is EVERYTHING@reecehill1 Happy 10th Anniversary Darling I do love you! 😘💗 h
Drinking prosecco in the bath!! Happy birthday to me! 😁🥂
Key Insights & Takeaways
She frequently shares personal and humorous moments, which resonate well with her audience. Her engagement is high, suggesting a loyal and interactive fan base. She often references her TV work and music career, highlighting her brand identity.
Strengths
- + Established follower base of 157,649
- + 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 @_ClaireRichards reveals an growing Twitter presence with 157,649 followers. The account demonstrates a conversation-first approach, averaging 98.1 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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