117,918
Followers
129
Following
5,044
Tweets
289.0
Avg Engagement
75
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Mandy_Takhar'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:2010-01-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,067
- Avg Likes per Tweet:109.1
- Avg Retweets per Tweet:179.8
- Followers Analyzed:10,995
Engagement Analysis
Based on 3,067 tweetsHer tweets receive high engagement, with an average of 10,486 likes and 1,240 retweets per post.
109.1
Avg Likes/Tweet
179.8
Avg Retweets/Tweet
334,696
Total Likes
551,561
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
4
Median Retweets
59
75th Percentile
125,576
Top Tweet
2.45
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
34.3%
Original
6.0%
Replies
40.5%
Retweets
19.2%
Quotes
0.0%
Threads
0.4%
With Media
68.3%
With Links
54.1%
With #Tags
61.6%
With @Mentions
53.7%
With Emojis
110
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.47
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,067 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 1,242 retweets (40% 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 3,067 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 10,995 followersHer audience appears to be interested in social justice, politics, and celebrity culture.
Below Average
Audience Quality
38.3%
Suspicion Index
48.3%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.7%
Empty Bio
60.0%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
81.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
42.9%
<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.
14,879,804
Total Potential Reach
3
Median Follower Reach
16
75th Percentile Reach
0.9%
>1K followers
0.1%
>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).
18.2%
Creators
2,006 accounts
21.7%
Consumers
2,389 accounts
60.0%
Dormant
6,600 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):
9
Verified Followers
0.08% of total
1,071
Protected Accounts
9.74% of total
2 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 | 14,093,780 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Ranjeev_Sidhu | 50,047 | - | - |
| @M_UsmanPak | 39,471 | - | - |
| @heeralalias | 29,359 | - | - |
| @MZubairAtiq | 22,456 | - | - |
| @incest0bro0son | 21,934 | - | - |
| @diljitsonamfan | 21,328 | - | - |
| @himmatshergill | 17,393 | - | - |
| @AmarDeepSinghD | 13,170 | - | - |
| @Aestheticthemon | 11,817 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,091
Followers With Bio
5,908
Followers Without Bio
46.29%
% With Bio
53.71%
% 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 3,067 analyzed300,931
Combined Engagement
0
Total Likes
300,931
Total Retweets
60,186
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @majdgeorge98: When Lady Gaga was in university, there was a Facebook group called “Stefani Germanotta, you’ll never be famous” and now she is the FIRST woman in history to win an Oscar, Grammy, BAFTA and Golden Globe all in the same year. https://t.co/UHMDQR84G4
RT @theweeknd: need sleeping lessons
RT @gmpolice: Police statement on incident at Manchester Arena https://t.co/gaKASukx9a
RT @treytylor: This Lindsay Lohan interview on David Letterman in 2013 is horrifying to watch now. https://t.co/lZxKVvbVB0
RT @SpecialKBrook: Stop This Now! #JusticeForTheKisan https://t.co/JKDvpOjYcd
Key Insights & Takeaways
She frequently engages with social and political issues, often using hashtags to highlight causes. Her content includes personal reflections and emotional responses to public events. She interacts with both fans and public figures, indicating a broad and active audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 117,918
- + 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 @Mandy_Takhar reveals an well-established Twitter presence with 117,918 followers. The account demonstrates a content-creator strategy, averaging 289.0 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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