Sarah Oliver
✨Blessed ✨ Actor, Author, DIY, OF 🫦
129,168
Followers
249
Following
19,730
Tweets
17.9
Avg Engagement
245
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sarahSOoliver'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:2010-09-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,162
- Avg Likes per Tweet:6.6
- Avg Retweets per Tweet:11.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,162 tweetsHer tweets receive moderate engagement with an average of 224 likes and 62 retweets. The content often includes links, suggesting a focus on driving traffic to her platforms.
6.6
Avg Likes/Tweet
11.4
Avg Retweets/Tweet
20,764
Total Likes
35,956
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
9
75th Percentile
15,611
Top Tweet
0.14
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
80.8%
Original
5.6%
Replies
7.3%
Retweets
6.3%
Quotes
0.0%
Threads
5.4%
With Media
80.3%
With Links
41.9%
With #Tags
34.6%
With @Mentions
52.8%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.85
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
61.7%
Weekday Posts
38.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,162 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 232 retweets (7% 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 3,162 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 interested in entertainment, personal stories, and niche content like DIY and adult material. They engage with her posts regularly.
Average
Audience Quality
26.2%
Suspicion Index
30.7%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.8%
Empty Bio
32.4%
<10 Tweets
10.0%
Mass Following (>2K)
0.0%
New (<90 days)
55.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
19.5%
<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.
46,069,369
Total Potential Reach
25
Median Follower Reach
110
75th Percentile Reach
3.4%
>1K followers
0.4%
>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).
40.7%
Creators
20,335 accounts
26.9%
Consumers
13,442 accounts
32.4%
Dormant
16,223 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):
161
Verified Followers
0.16% of total
13,784
Protected Accounts
13.65% 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 | 14,101,551 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Variety | 2,912,141 | Entertainment industry | Entertainment, Business, Variety |
| @BeatsByAssassin | 2,261,252 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,033,131 | - | - |
| @zlj517 | 1,984,335 | Spokesman | Geopolitics, Diplomacy, Communication |
| @KameronBennett | 1,823,257 | DJ | Music, DJing, Booking |
| @terrellowens | 1,373,531 | Football Player | Football, Philanthropy, Alumni |
| @RealRonnieMagro | 1,356,239 | Reality TV Star | Reality TV, Fitness, Influencer |
| @ChiefKeef | 1,324,386 | Rapper | Music, Booking, Beats |
| @LILBTHEBASEDGOD | 1,247,179 | Rapper | Music, Writing, Film |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,066
Followers With Bio
41,928
Followers Without Bio
58.48%
% With Bio
41.52%
% 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 3,162 analyzed32,224
Combined Engagement
660
Total Likes
31,564
Total Retweets
6,445
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @RexChapman: Without the traffic of ships and ferries, dolphins have reappeared. Sardinia, Italy 🌎❤️🇮🇹 https://t.co/9HrpyDJnAU
RT @ladygaga: I am thinking so deeply for everyone who is suffering today from these abominable fires & grieving the loss of their homes or…
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RT @BunimMurray: BAD GIRLS CLUB #BMPBGC 😈
Smh. This looks like a bullying season #SO far!! 😒 #bgc16
Key Insights & Takeaways
She leverages her platform to promote her OnlyFans and other projects, indicating a focus on monetization and content distribution. Her content often includes personal opinions and reactions, suggesting a conversational and relatable tone. She has a verified status of 0.2%, which may indicate a mix of personal and professional branding.
Strengths
- + Established follower base of 129,168
- + 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 @sarahSOoliver reveals an growing Twitter presence with 129,168 followers. The account demonstrates a content-creator strategy, averaging 17.9 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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