Louise Cliffe
Model/Mummy to Eli and Ezra. Management/pr [email protected] For other enquires [email protected] Instagram - louisecliffereal
79,512
Followers
3,348
Following
13,828
Tweets
46.7
Avg Engagement
252
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cliffe1'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:2009-03-10
- Verification:No
- Location:Earth
Data Summary
- Tweets Analyzed:3,179
- Avg Likes per Tweet:9.1
- Avg Retweets per Tweet:37.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,179 tweetsHer tweets receive moderate engagement with an average of 211 likes and 53 retweets per post.
9.1
Avg Likes/Tweet
37.6
Avg Retweets/Tweet
28,820
Total Likes
119,627
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
10
75th Percentile
65,881
Top Tweet
0.59
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
72.5%
Original
13.4%
Replies
7.7%
Retweets
6.3%
Quotes
0.0%
Threads
1.2%
With Media
67.5%
With Links
34.0%
With #Tags
39.7%
With @Mentions
40.0%
With Emojis
83
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
0.82
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.8%
Weekday Posts
24.2%
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 245 retweets (8% 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 10,000 followersHer audience includes fans of her personal life and family updates, as well as those interested in her modeling career.
Average
Audience Quality
26.2%
Suspicion Index
30.2%
Low-Quality %
87
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.0%
Empty Bio
20.9%
<10 Tweets
24.1%
Mass Following (>2K)
0.0%
New (<90 days)
47.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.7%
No URL
12.4%
<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.
47,645,176
Total Potential Reach
87
Median Follower Reach
277
75th Percentile Reach
9.1%
>1K followers
2.7%
>10K followers
1.4%
>50K followers
0.8%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.1%
Creators
5,607 accounts
23.0%
Consumers
2,303 accounts
20.9%
Dormant
2,090 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):
61
Verified Followers
0.61% of total
1,871
Protected Accounts
18.71% 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 | 7,678,760 | Chef | Cooking, Food, Restaurants |
| @6BillionPeople | 2,020,042 | - | - |
| @soledadobrien | 1,316,199 | Journalist | working, mom, journalist |
| @JDaIey | 1,246,249 | - | - |
| @LeBronJames | 942,274 | - | - |
| @rogerhamilton | 923,879 | Entrepreneur | education, entrepreneurship, futurism |
| @evange_anderson | 890,939 | Model | Modelo, Argentina, Instagram |
| @bbcle | 792,557 | - | - |
| @ITVX | 770,566 | Streaming Service | Streaming, Launching, Support |
| @msm4rsh | 753,153 | Actress | Acting, Singing, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,200
Followers With Bio
4,800
Followers Without Bio
52.0%
% With Bio
48.0%
% 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 3,179 analyzed102,425
Combined Engagement
0
Total Likes
102,425
Total Retweets
20,485
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @bbcthree: Liam Gallagher making tea is the best thing you'll see today. As you were. https://t.co/JaAB0p6Qr2
RT @Rylan: I’m gonna get in trouble for this , I’m all for no interfering no outside contact etc .... BUT SHOW THE HOUSEMATES THE FOOTAGE. There I’ve said it. Praying they will.
RT @liamgallagher: What an amazing night last night pure love vibrations nobody comes close to Manchester love forever LG x
RT @SkyNewsBreak: David Cameron has resigned as Prime Minister following the UK's decision to leave the European Union #EUref
RT @ryanjamesthomas: No words to describe how proud we are as a family of Ryan. He has handled himself with the upmost respect and dignity in the worst possible situation. We just hope he can get back to being the amazing human being he is. A phenomenal dad, brother, boyfriend an
Key Insights & Takeaways
She frequently shares personal milestones and family news, which likely drive engagement. Her content is highly personal and emotional, focusing on her experiences as a mother. She uses social media as a platform to connect with her audience on a personal level.
Strengths
- + Established follower base of 79,512
- + 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 @cliffe1 reveals an growing Twitter presence with 79,512 followers. The account demonstrates a content-creator strategy, averaging 46.7 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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