527,290
Followers
11,353
Tweets
3,755.6
Avg Engagement
118
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OliviaDBuck'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:2016-04-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,078
- Avg Likes per Tweet:1,587.7
- Avg Retweets per Tweet:2,167.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,078 tweetsThe account shows high engagement with an average of 54,340 likes and 3,983 retweets per tweet, indicating strong audience interaction and interest in the content.
1,587.7
Avg Likes/Tweet
2,167.9
Avg Retweets/Tweet
4,886,928
Total Likes
6,672,874
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
52
Median Likes
4
Median Retweets
1,344
75th Percentile
725,801
Top Tweet
7.12
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
30.5%
Original
34.8%
Replies
25.7%
Retweets
9.0%
Quotes
0.0%
Threads
0.7%
With Media
30.6%
With Links
10.2%
With #Tags
63.3%
With @Mentions
46.8%
With Emojis
111
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.14
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.1%
Weekday Posts
24.9%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,078 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 790 retweets (26% 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 3,078 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 followersThe audience appears to be interested in personal stories, relationships, and emotional content. The high engagement rates suggest a dedicated and active follower base.
Below Average
Audience Quality
35.2%
Suspicion Index
46.5%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
54.2%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
70.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
41.2%
<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.
31,643,551
Total Potential Reach
6
Median Follower Reach
46
75th Percentile Reach
1.8%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
25.3%
Creators
12,653 accounts
20.5%
Consumers
10,260 accounts
54.2%
Dormant
27,087 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):
165
Verified Followers
0.16% of total
15,838
Protected Accounts
15.68% of total
5 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 | 14,105,170 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BreakingBad | 1,475,991 | TV Show | TV shows, crime, drama |
| @scott_mills | 1,265,919 | Radio Host | Entertainment, Music, Radio |
| @mtvgeordieshore | 1,180,258 | Reality TV | reality TV, MTV, Geordie Shore |
| @KChenoweth | 1,140,332 | Singer | Music, Broadway, Advocacy |
| @APOLONIAPORN | 785,724 | - | - |
| @bbcthree | 742,891 | Media | TV, entertainment, humor |
| @JayMcGuiness | 691,472 | Entertainer | Music, Dancing, Humor |
| @IamMzilikazi | 546,254 | Musician | Pan-African music, Album, Rise |
| @OccupyDemocrats | 538,721 | Political Activist | Progressive, Grassroots, Politics |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,865
Followers With Bio
53,134
Followers Without Bio
47.39%
% With Bio
52.61%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,078 analyzed1,944,586
Combined Engagement
0
Total Likes
1,944,586
Total Retweets
388,917
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @gnuman1979: Quarantine day 6. https://t.co/er652Oy3Ki
RT @Think_Become: This Christmas advert has been banned from TV for being too political. I think what's happening to our rain forests shou…
RT @francismmaxwell: A church catches fire and the entire world stops, news is everywhere and billions are raised overnight. But when our p…
RT @jadoregeorgia: FUND THIS. FUND HER. FUND INITIATIVES THAT AIM TO TACKLE CLIMATE CHANGE. FUND WOMEN IN SCIENCE https://t.co/3dSwWm…
RT @ItsProxcey: At the rate I am now convinced I have been breathing all wrong https://t.co/fpyRCRTdwm
Key Insights & Takeaways
The user frequently shares personal and emotional updates, which likely drive engagement. The content often includes references to personal milestones and romantic events, suggesting a focus on relationship and life updates. The use of emojis and links indicates a casual and expressive communication style.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 527,290
- + High community engagement through conversations
- + 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 @OliviaDBuck reveals an exceptionally influential Twitter presence with 527,290 followers. The account demonstrates a conversation-first approach, averaging 3,755.6 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access