India Knight
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164,221
Followers
2,887
Following
602
Tweets
1,070.9
Avg Engagement
1,741
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @indiaknight'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:2009-01-27
- Verification:No
- Location:Suffolk
Data Summary
- Tweets Analyzed:472
- Avg Likes per Tweet:90.5
- Avg Retweets per Tweet:980.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 472 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is driven by both personal gratitude and controversial or thought-provoking statements.
90.5
Avg Likes/Tweet
980.5
Avg Retweets/Tweet
42,714
Total Likes
462,774
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
63
75th Percentile
157,599
Top Tweet
6.52
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
66.9%
Original
23.1%
Replies
9.3%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
59.1%
With Links
2.5%
With #Tags
30.3%
With @Mentions
5.7%
With Emojis
81
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
35.0%
Weekday Posts
65.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 472 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 44 retweets (9% 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 472 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 followersHer audience includes individuals interested in beauty, aging, and personal development. They are likely to engage with her insights on mental health and societal norms.
Average
Audience Quality
21.9%
Suspicion Index
25.4%
Low-Quality %
94
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.7%
Empty Bio
18.9%
<10 Tweets
19.5%
Mass Following (>2K)
0.0%
New (<90 days)
39.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.9%
No URL
12.2%
<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.
126,589,225
Total Potential Reach
94
Median Follower Reach
441
75th Percentile Reach
14.7%
>1K followers
1.9%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.8%
Creators
31,894 accounts
17.3%
Consumers
8,671 accounts
18.9%
Dormant
9,435 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):
395
Verified Followers
0.39% of total
11,203
Protected Accounts
11.09% of total
10 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 | 14,100,810 | Wrestler | Wrestling, Motivation, Self-promotion |
| @stephenfry | 12,275,739 | - | - |
| @JKCorden | 10,712,224 | TV Host | Comedy, Late Night TV, Entertainment |
| @GaryLineker | 8,927,898 | Football Pundit | BBC Sport, Walkers, @goalhangerfilms |
| @GordonRamsay | 7,696,366 | Chef | Cooking, Food, Restaurants |
| @GemmaAnneStyles | 3,850,381 | Writer | writing, podcasting, mental health |
| @MayorofLondon | 3,216,463 | Politician | Politics, Family, London |
| @Nigella_Lawson | 2,756,784 | Chef | cooking, updates, contact |
| @radioleary | 2,656,635 | - | - |
| @DanaPerino | 2,360,123 | News Anchor | Fox News, Politics, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,470
Followers With Bio
39,525
Followers Without Bio
60.86%
% With Bio
39.14%
% 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 472 analyzed389,208
Combined Engagement
0
Total Likes
389,208
Total Retweets
77,842
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @EdStern: Well that escalated steadily for four years.
RT @KamalaHarris: I’m here today because of the women who came before me. https://t.co/ctB9qGJqqp
RT @Noahbout_it: this is the "fa" we were "anti", by the way
RT @PicturesFoIder: https://t.co/DYc3K2cO6s
RT @TwitterSafety: This means that the account of @realDonaldTrump will be locked for 12 hours following the removal of these Tweets. If th…
Key Insights & Takeaways
She uses her platform to address important social issues like mental health and judgment. Her content often blends personal experiences with broader societal commentary. She maintains a balance between promotional content and meaningful dialogue with her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 164,221
- + 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 @indiaknight reveals an exceptionally influential Twitter presence with 164,221 followers. The account demonstrates a content-creator strategy, averaging 1,070.9 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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