Olivia Wayne
Presenter (formerly @skysportsnews 😜) instagram: @oliviajwayne
118,635
Followers
713
Following
8,985
Tweets
671.9
Avg Engagement
244
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @oliviajwayne'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:2009-02-17
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,192
- Avg Likes per Tweet:10.7
- Avg Retweets per Tweet:661.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,192 tweetsHer tweets typically receive around 420 likes and 60 retweets, indicating a moderately engaged audience.
10.7
Avg Likes/Tweet
661.1
Avg Retweets/Tweet
34,203
Total Likes
2,110,372
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
17
75th Percentile
587,731
Top Tweet
5.66
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
66.8%
Original
10.4%
Replies
16.3%
Retweets
6.5%
Quotes
0.0%
Threads
1.8%
With Media
78.1%
With Links
38.1%
With #Tags
58.0%
With @Mentions
56.2%
With Emojis
101
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,192 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 521 retweets (16% 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 3,192 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 sports, particularly Chelsea FC, and individuals interested in her personal and professional updates.
Average
Audience Quality
25.7%
Suspicion Index
28.2%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.0%
Empty Bio
17.5%
<10 Tweets
22.0%
Mass Following (>2K)
0.0%
New (<90 days)
53.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
10.5%
<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.
26,488,484
Total Potential Reach
78
Median Follower Reach
239
75th Percentile Reach
6.0%
>1K followers
0.8%
>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).
62.8%
Creators
6,282 accounts
19.7%
Consumers
1,967 accounts
17.5%
Dormant
1,751 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):
60
Verified Followers
0.6% of total
1,420
Protected Accounts
14.2% of total
7 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 | 14,093,768 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,331,270 | Restaurateur | Food, Travel, Influencer |
| @ZubyMusic | 1,119,645 | Rapper | Rapper, Author, Podcaster |
| @garettnelson | 649,712 | Entrepreneur | Travel, Investing, Adventure |
| @danwootton | 499,713 | Journalist | News, Presenter, Columnist |
| @OllieHolt22 | 435,107 | Sports Journalist | Sports, Writing, Journalism |
| @FrancisBoulle | 421,299 | Entrepreneur | Mining, Trading, Jiu Jitsu |
| @skytv | 374,985 | Entertainment | TV, entertainment, unmissable |
| @thecoastguy | 345,744 | Archaeologist | Archaeology, History, Nature |
| @TSBreakfast | 329,189 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,404
Followers With Bio
4,596
Followers Without Bio
54.04%
% With Bio
45.96%
% 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 3,192 analyzed1,031,296
Combined Engagement
0
Total Likes
1,031,296
Total Retweets
206,259
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @HillaryClinton: "To all the little girls watching...never doubt that you are valuable and powerful & deserving of every chance & opportunity in the world."
RT @TIME: The President is incorrect about how we choose Person of the Year. TIME does not comment on our choice until publication, which is December 6.
RT @247KevinBoilard: Kobe Bryant, 2008: "Have a good time. Life is too short to get bogged down and be discouraged. "You have to keep moving. You have to keep going. Put one foot in front of the other, smile and just keep on rolling. https://t.co/gy7iQnewAJ
RT @ManCity: https://t.co/Kz89wXt8It
RT @FloydMayweather: IT'S OFFICIAL!!! https://t.co/ND07Ixugs2 https://t.co/JpqFW5WbcB
Key Insights & Takeaways
Her top tweets often include humor and personal gratitude, which resonate well with her followers. She frequently references her family and personal milestones, which adds a personal touch to her content. Her use of hashtags and links suggests a strategy to drive engagement and connect with specific communities.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 118,635
- + 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 @oliviajwayne reveals an well-established Twitter presence with 118,635 followers. The account demonstrates a content-creator strategy, averaging 671.9 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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