10,214
Followers
758
Following
7,397
Tweets
523.8
Avg Engagement
25
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @oliviacraighead'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:2011-10-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:524
- Avg Likes per Tweet:498.1
- Avg Retweets per Tweet:25.7
- Followers Analyzed:10,098
Engagement Analysis
Based on 524 tweetsOliviacraighead's tweets consistently receive high engagement, with an average of 18,402 likes and 908 retweets per tweet.
498.1
Avg Likes/Tweet
25.7
Avg Retweets/Tweet
260,993
Total Likes
13,472
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
34
Median Likes
0
Median Retweets
122
75th Percentile
92,462
Top Tweet
51.28
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
51.7%
Original
37.6%
Replies
1.0%
Retweets
9.7%
Quotes
0.0%
Threads
1.3%
With Media
46.4%
With Links
0.6%
With #Tags
38.2%
With @Mentions
4.0%
With Emojis
87
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.73
Reply/Original Ratio
10.2
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
86.1%
Weekday Posts
13.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 524 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 5 retweets (1% 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 524 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 10,098 followersTheir audience appears to be fans of witty and meme-driven content, with a particular interest in pop culture and book reviews.
Good
Audience Quality
15.2%
Suspicion Index
13.2%
Low-Quality %
181
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
21.4%
Empty Bio
7.5%
<10 Tweets
20.2%
Mass Following (>2K)
0.0%
New (<90 days)
30.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
67.7%
No URL
5.0%
<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.
34,877,180
Total Potential Reach
181
Median Follower Reach
546
75th Percentile Reach
16.6%
>1K followers
4.0%
>10K followers
1.1%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
82.6%
Creators
8,345 accounts
9.9%
Consumers
997 accounts
7.5%
Dormant
756 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):
594
Verified Followers
5.88% of total
2,234
Protected Accounts
22.12% 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 |
|---|---|---|---|
| @earlxsweat | 2,195,038 | Rapper | music, art, fashion |
| @PFTompkins | 1,224,004 | Comedian | TV, standup, improv |
| @meganamram | 1,066,772 | Comedian | weird, sexual, anti-comedy |
| @Telepeturtle | 1,042,401 | Customer Support | Support, Pet, Turtle |
| @jaboukie | 874,933 | Comedian | comedy, activism, satire |
| @depthsofwiki | 769,631 | Wikipedia Enthusiast | Wikipedia, favorite things, fluffybabycow |
| @SleepSkee | 711,645 | Musician | Music, Independent, Artist |
| @WesleyLowery | 640,631 | Journalist | Journalism, News, Writing |
| @thefader | 634,789 | Media | Music, Culture, Fashion |
| @BRANDONWARDELL | 585,962 | Comedian | comedy, tour, social media |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,933
Followers With Bio
2,165
Followers Without Bio
78.56%
% With Bio
21.44%
% 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 524 analyzed164,591
Combined Engagement
157,108
Total Likes
7,483
Total Retweets
32,918
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
he’s right it’s none of his business https://t.co/gIhXo3RrUv
AYO HIVE WE EATIN!!!! https://t.co/Ql1qUwcBHW
when a book opens with two quotes and the first one is academic and the second one is like, an ariana grande lyric? i eat it up every time i can’t lie
good morning https://t.co/ct7RjYfVpS
this is one of the wiggiest wigs she's wigged recently https://t.co/QuEFi4xZx9
Key Insights & Takeaways
Their content often blends humor with cultural references, making it highly relatable and shareable They frequently engage with their audience through memes and pop culture commentary Their verified status suggests a level of authenticity and credibility among their followers
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,214
- + 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 @oliviacraighead reveals an well-established Twitter presence with 10,214 followers. The account demonstrates a content-creator strategy, averaging 523.8 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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