Ranj Singh
NHS Doctor | BAFTA Award-Winning TV Presenter | Sunday Times Best-Selling Author | Columnist | He/Him | No Longer On Twitter 🏳️🌈
183,510
Followers
277
Following
48,213
Tweets
209.4
Avg Engagement
320
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DrRanj'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:2010-04-06
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:146.4
- Avg Retweets per Tweet:63.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,239 tweetsDrRanj's tweets receive high engagement, with an average of 10k likes and 500 retweets. His content resonates with followers due to its relevance and personal touch.
146.4
Avg Likes/Tweet
63.1
Avg Retweets/Tweet
474,108
Total Likes
204,225
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
33
75th Percentile
93,053
Top Tweet
1.14
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
13.9%
Original
42.6%
Replies
35.5%
Retweets
8.0%
Quotes
0.0%
Threads
0.3%
With Media
24.5%
With Links
21.1%
With #Tags
85.4%
With @Mentions
38.6%
With Emojis
129
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.06
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 1,150 retweets (36% 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 3,239 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 followersHis audience includes healthcare professionals, TV viewers, and readers interested in social issues. Followers are likely engaged with both his professional and personal perspectives.
Average
Audience Quality
25.3%
Suspicion Index
31.6%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.8%
Empty Bio
25.3%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
51.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
16.4%
<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.
59,011,626
Total Potential Reach
37
Median Follower Reach
183
75th Percentile Reach
7.4%
>1K followers
0.9%
>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).
52.4%
Creators
26,196 accounts
22.3%
Consumers
11,157 accounts
25.3%
Dormant
12,647 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):
299
Verified Followers
0.3% of total
13,454
Protected Accounts
13.32% of total
7 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 | 14,100,341 | Wrestler | Wrestling, Motivation, Self-promotion |
| @radioleary | 2,656,756 | - | - |
| @RealDMitchell | 2,382,682 | Actor | comedy, acting, television |
| @louistheroux | 2,244,860 | Documentary Filmmaker | Documentaries, Irony, Filmmaking |
| @SinghLions | 1,333,903 | Restaurateur | Food, Travel, Influencer |
| @mmpadellan | 1,222,418 | Political Commentator | #BlueWave2022, #Feminist, #TheResistance |
| @UniofOxford | 944,511 | Education | News, Research, Updates |
| @DrAmalinaBakri | 824,369 | Surgeon | General Surgery, Clinical Research, BRACELET Study |
| @NOH8Campaign | 801,044 | Activism | equality, bullying, discrimination |
| @NHSMillion | 795,438 | Supporters | Gratitude, Support, Campaign |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,615
Followers With Bio
46,384
Followers Without Bio
54.07%
% With Bio
45.93%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,239 analyzed157,698
Combined Engagement
30,882
Total Likes
126,816
Total Retweets
31,540
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
0%
With Links
Topical Analysis:
RT @FollowWestwood: 29th December 2022. Vivienne Westwood died today, peacefully and surrounded by her family, in Clapham, South London.…
The worst part of what #JeremyClarkson wrote, isn’t what he actually said… It’s the fact that he exists in a space where he feels it’s permissible to say those vile things - and someone thought it was OK to publish it. THIS NEEDS TO CHANGE.
RT @Esqueer_: Not only did Greta Thunberg destroy Andrew Tate with her tweet, she made him so angry he inadvertently tipped off Romanian au…
RT @simonharris_mbd: Hi Julia. It’s a shame you deleted this, but I am going to save it and show my eight-year-old autistic son that he can…
The fact that a teenage girl took down Andrew Tate is the justice this world needs right now. He has been arrested on suspicion of human sex trafficking. Anyone that has given him a platform or supported what he has said (despite all the warnings) needs to have a serious think.
Key Insights & Takeaways
DrRanj's content often highlights social justice and current events, reflecting his personal values and public stance. He shares personal experiences as a doctor, which adds authenticity and relatability to his tweets. His use of verified accounts and public platforms allows him to influence and engage with a broad audience on important issues.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 183,510
- + 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 @DrRanj reveals an well-established Twitter presence with 183,510 followers. The account demonstrates a conversation-first approach, averaging 209.4 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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