Oli London
Author | 📖Gender Madness | News Contributor | Public Speaker | 📧Media: [email protected] |
299,183
Followers
6,951
Following
15,602
Tweets
2,489.3
Avg Engagement
1,836
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OliLondonTV'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:2009-11-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,114
- Avg Likes per Tweet:1,960.2
- Avg Retweets per Tweet:529.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,114 tweetsOli London TV's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content is often polarizing, which contributes to high engagement levels.
1,960.2
Avg Likes/Tweet
529.1
Avg Retweets/Tweet
6,103,981
Total Likes
1,647,600
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
296
Median Likes
51
Median Retweets
1,849
75th Percentile
97,616
Top Tweet
8.32
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
48.9%
Original
43.5%
Replies
5.5%
Retweets
2.0%
Quotes
0.0%
Threads
0.8%
With Media
56.6%
With Links
5.6%
With #Tags
59.1%
With @Mentions
38.4%
With Emojis
172
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.89
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,114 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 172 retweets (6% 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 3,114 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 primarily consists of individuals interested in gender politics, sports, and public figures. They are likely to be engaged in debates and discussions around social issues.
Good
Audience Quality
19.9%
Suspicion Index
28.3%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.7%
Empty Bio
18.0%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
38.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
11.8%
<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.
14,926,804
Total Potential Reach
43
Median Follower Reach
209
75th Percentile Reach
9.2%
>1K followers
1.4%
>10K followers
0.4%
>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).
63.1%
Creators
6,315 accounts
18.9%
Consumers
1,887 accounts
18.0%
Dormant
1,798 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):
416
Verified Followers
4.16% of total
831
Protected Accounts
8.31% 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 |
|---|---|---|---|
| @JesseBWatters | 2,376,450 | TV Host | - |
| @TateTheTalisman | 1,803,842 | Kickboxer | Kickboxing, Fatherhood, Business |
| @mchooyah | 598,816 | Navy SEAL | Military, Sniper, Beer |
| @gatewaypundit | 544,865 | Journalist | Truth, Hope, Fulfillment |
| @thecjpearson | 439,699 | - | - |
| @WatchChad | 394,353 | Politician | Republican, Conservative, Blaze TV |
| @JudyMurray | 301,423 | Tennis Coach | Tennis, Coaching, Sports |
| @IsabellaMDeLuca | 250,570 | - | - |
| @sagesteele | 233,448 | Sports Broadcaster | Mom, Army brat, SportsCenter |
| @AnnLesbyPhD | 195,277 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,526
Followers With Bio
4,474
Followers Without Bio
55.26%
% With Bio
44.74%
% 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 3,114 analyzed385,837
Combined Engagement
310,524
Total Likes
75,313
Total Retweets
77,167
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
Let’s talk about Nike…a brand that treats men like Dylan Mulvaney that pretend to be women better than it treats women. In 2018, Nike Brand Ambassador and Model + 10 x Olympic Medalist 🥇Allyson Felix got pregnant. Nike then offered her 70% less pay than her original… https://
The Trans Movement has gone too far. We can no longer pander to these people. We can no longer cave into their demands. The movement has become one synonymous with Violence & Terror. • Women Assaulted Every Day • Trans Shooters Killing Children • Children being… h
Transgender Starbucks Employee screams at woman for misgendering him, then proceeds to violently assault a man filming the altercation. Is this an acceptable way for staff to behave @StarbucksUK ? ☕️ https://t.co/NPDjrYYSKG
Women’s Swimming Champion @Riley_Gaines_ has called on female athletes to boycott competing against Trans players. Riley has said the only way to bring back fairness in sport is to: “have girls who, when the whistle blows, they don't run, they don't swim. They stand up on the
Yesterday was meant to be a day that 9 year old Evelyn Dieckhaus was going to be singing Louis Armstrong's "What a Wonderful World" in a play about jazz at her school. The Wonderful World she was going to sing about doesn’t exist. Because sadly, her life was taken away by the… h
Key Insights & Takeaways
Oli London TV frequently addresses gender identity and its impact on public figures and policies. They often critique brands and movements for perceived overreach in gender-related issues. Their content tends to generate significant debate and controversy, reflecting strong audience engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 299,183
- + 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 @OliLondonTV reveals an exceptionally influential Twitter presence with 299,183 followers. The account demonstrates a content-creator strategy, averaging 2,489.3 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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