Olivia Morris
@ITG_Ltd #RRR #HotelPortofino #TheHead2
90,699
Followers
451
Following
718
Tweets
2,405.6
Avg Engagement
35
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OliviaMorris891'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:2010-08-21
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:686
- Avg Likes per Tweet:587.6
- Avg Retweets per Tweet:1,817.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 686 tweetsHer tweets receive a high average number of likes and retweets, indicating strong audience interaction. The use of links and emojis suggests an effort to drive engagement and share multimedia content.
587.6
Avg Likes/Tweet
1,817.9
Avg Retweets/Tweet
403,112
Total Likes
1,247,097
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
26
75th Percentile
284,391
Top Tweet
26.52
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
24.2%
Original
44.6%
Replies
22.2%
Retweets
9.0%
Quotes
0.0%
Threads
0.1%
With Media
33.1%
With Links
25.9%
With #Tags
89.4%
With @Mentions
20.0%
With Emojis
86
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.84
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 686 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 152 retweets (22% 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 686 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 followersThe audience appears to be interested in entertainment, lifestyle, and possibly pop culture, given the use of hashtags like #RRR and references to media content.
Average
Audience Quality
30.1%
Suspicion Index
35.9%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.2%
Empty Bio
33.8%
<10 Tweets
7.7%
Mass Following (>2K)
0.0%
New (<90 days)
71.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.6%
No URL
21.6%
<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.
2,592,003
Total Potential Reach
13
Median Follower Reach
54
75th Percentile Reach
1.8%
>1K followers
0.2%
>10K followers
0.0%
>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).
42.6%
Creators
4,258 accounts
23.6%
Consumers
2,365 accounts
33.8%
Dormant
3,377 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):
16
Verified Followers
0.16% of total
881
Protected Accounts
8.81% of total
4 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 |
|---|---|---|---|
| @NOH8Campaign | 799,078 | Activism | equality, bullying, discrimination |
| @filmfest | 214,519 | Film Critic | Film, Cinema, Community |
| @rebeccagrants | 188,766 | Sportscaster | movies, TV, sports |
| @latasrinivasan | 97,385 | Journalist | News, Films, Food |
| @shilparathnam | 46,909 | Journalist | News, Journalism, Television |
| @iamEddieStokes | 46,033 | Music Producer | Music, Production, DJing |
| @lapropuesta_web | 35,804 | - | - |
| @glittermagazine | 32,861 | - | - |
| @JamesTophamWord | 32,222 | - | - |
| @HCAcritics | 24,422 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,977
Followers With Bio
5,023
Followers Without Bio
49.77%
% With Bio
50.23%
% 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 686 analyzed793,505
Combined Engagement
0
Total Likes
793,505
Total Retweets
158,701
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @alyssawata: god my humor is trash https://t.co/qYAfN17xOX
RT @TheAcademy: Genie, you're free. http://t.co/WjA9QuuldD
RT @blackmirror: This isn't an episode. This isn't marketing. This is reality.
RT @ruffboiz: https://t.co/r8aNRrSH6p
RT @batonthemoon: plants give so much life and healthy air quality to your bedroom and if you’ve been discouraged from getting plants because your room doesn’t get plenty of sunlight, here are some plants that will grow in a window-less room 🌿✨ a thread: ✨🌿
Key Insights & Takeaways
Her content is highly engaging with a focus on entertainment and lifestyle topics. She uses hashtags and emojis to enhance the tone and reach of her tweets. Her audience is likely interested in pop culture and media-related content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,699
- + 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 @OliviaMorris891 reveals an exceptionally influential Twitter presence with 90,699 followers. The account demonstrates a conversation-first approach, averaging 2,405.6 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.
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