Lewis Bloor | Online Coach
I help Men & Women LOSE FAT & GAIN CONFIDENCE on my 8 or 16 Week Fat Loss & Muscle Building programs. Book a call with me (hit the link)
322,486
Followers
1,985
Following
4,744
Tweets
74.7
Avg Engagement
136
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lewis_bloor'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:2013-10-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,079
- Avg Likes per Tweet:21.7
- Avg Retweets per Tweet:53.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,079 tweetsHis tweets typically receive around 648 likes and 182 retweets on average, indicating a strong and active community. The engagement is driven by a mix of personal achievements, humor, and supportive interactions.
21.7
Avg Likes/Tweet
53.0
Avg Retweets/Tweet
66,742
Total Likes
163,108
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
2
Median Retweets
29
75th Percentile
35,983
Top Tweet
0.23
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
45.8%
Original
21.1%
Replies
31.7%
Retweets
1.4%
Quotes
0.0%
Threads
0.8%
With Media
32.1%
With Links
31.2%
With #Tags
83.2%
With @Mentions
61.3%
With Emojis
99
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.46
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.7%
Weekday Posts
22.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,079 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 975 retweets (32% 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 3,079 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 followersHis audience primarily consists of individuals seeking fitness transformation and confidence building. They are likely interested in personal development, health, and motivational content.
Average
Audience Quality
26.7%
Suspicion Index
37.7%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.3%
Empty Bio
32.5%
<10 Tweets
6.8%
Mass Following (>2K)
0.0%
New (<90 days)
53.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
21.0%
<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.
37,040,734
Total Potential Reach
27
Median Follower Reach
123
75th Percentile Reach
2.8%
>1K followers
0.6%
>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).
42.1%
Creators
21,038 accounts
25.4%
Consumers
12,719 accounts
32.5%
Dormant
16,243 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):
259
Verified Followers
0.26% of total
18,377
Protected Accounts
18.38% 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 |
|---|---|---|---|
| @dodo | 2,730,678 | Animal Advocate | animals, compassion, rescue |
| @6BillionPeople | 2,035,627 | - | - |
| @Rylan | 1,764,554 | Entertainer | Luxury, Entertainment, Representation |
| @ConorMaynard | 1,618,369 | Singer | Music, Dance, Link |
| @ScottGShore | 1,432,272 | Reality TV Star | Reality TV, Techno music, MTV |
| @CynthiaLIVE | 1,424,823 | Entrepreneur | Personal Branding, Keynote Speaking, Columnist |
| @lucy_meck | 1,385,225 | Model | Fashion, Modelling, Management |
| @Unexplained | 1,335,437 | Paranormal Researcher | Mystery, Paranormal, Curiosity |
| @SinghLions | 1,334,689 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1,318,270 | Journalist | working, mom, journalist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,069
Followers With Bio
55,931
Followers Without Bio
44.07%
% With Bio
55.93%
% 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 3,079 analyzed92,228
Combined Engagement
0
Total Likes
92,228
Total Retweets
18,446
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Cristiano: It's an unforgettable moment in my life to win the Ballon d’Or for the third time! I fee... http://t.co/OnVq1Ut2eP http://t.…
RT @JeremyClarkson: A pap tried following me yesterday. He had a VW diesel. I had a Lamborghini. None of his pics are in the papers today. …
RT @BillieFaiers: We are so excited to announce the birth of our beautiful baby girl ... We are so happy and the proudest mummy and daddy i…
RT @Cristiano: No day off. Even if you’ve earned one. #JustDoIt http://t.co/TTUf0LzcUp http://t.co/yLIctEcFwh
RT @TheFunnyVines: This has gotta be the smoothest skateboarder I've ever seen https://t.co/aaiIeYOtCm
Key Insights & Takeaways
He frequently acknowledges and celebrates others' achievements, which fosters a supportive community. His content includes a mix of motivational messages, humor, and personal stories, which likely contribute to high engagement. He uses hashtags and emojis to make his tweets more relatable and engaging to his audience.
Strengths
- + Established follower base of 322,486
- + 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 @lewis_bloor reveals an growing Twitter presence with 322,486 followers. The account demonstrates a content-creator strategy, averaging 74.7 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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