85,191
Followers
30,105
Tweets
219.9
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GovindSingh_R'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:2017-01-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:25.7
- Avg Retweets per Tweet:194.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe user's tweets receive moderate engagement, with an average of 342 likes and 57 retweets. This suggests a consistent but not highly interactive audience.
25.7
Avg Likes/Tweet
194.2
Avg Retweets/Tweet
83,566
Total Likes
630,873
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
9
Median Retweets
77
75th Percentile
12,029
Top Tweet
2.58
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
67.1%
Original
1.7%
Replies
23.7%
Retweets
7.5%
Quotes
0.0%
Threads
0.0%
With Media
92.0%
With Links
64.2%
With #Tags
61.5%
With @Mentions
2.0%
With Emojis
206
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 771 retweets (24% 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 3,249 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 political and regional news, particularly related to Madhya Pradesh and government officials. The user's tweets often reference local leaders and events.
Average
Audience Quality
31.0%
Suspicion Index
40.6%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.3%
Empty Bio
42.4%
<10 Tweets
6.5%
Mass Following (>2K)
0.0%
New (<90 days)
63.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
26.9%
<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.
1,620,628
Total Potential Reach
8
Median Follower Reach
39
75th Percentile Reach
2.8%
>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).
24.8%
Creators
2,484 accounts
32.8%
Consumers
3,280 accounts
42.4%
Dormant
4,236 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):
43
Verified Followers
0.43% of total
316
Protected Accounts
3.16% of total
1 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 |
|---|---|---|---|
| @Arunkr750 | 67,376 | - | - |
| @ashwinnagar | 49,149 | - | - |
| @GovindRajvanshi | 40,072 | - | - |
| @IPrabhakarSP | 39,516 | - | - |
| @Drsubhassarkar | 38,874 | - | - |
| @JagdishDevdaBJP | 37,146 | - | - |
| @advpushyamitra | 24,667 | - | - |
| @RRKarniSena | 22,910 | - | - |
| @iAnirudhRana | 22,809 | - | - |
| @NarendraSaluja | 20,689 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,571
Followers With Bio
5,429
Followers Without Bio
45.71%
% With Bio
54.29%
% 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 3,249 analyzed52,102
Combined Engagement
0
Total Likes
52,102
Total Retweets
10,420
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @narendramodi: Today, as we complete 9 years in service to the nation, I am filled with humility and gratitude. Every decision made, every action taken, has been guided by the desire to improve the lives of people. We will keep working even harder to build a developed India. #
RT @narendramodi: 140 करोड़ देशवासियों का आशीर्वाद मोदी का सबसे बड़ा सुरक्षा कवच है। https://t.co/w06tMogWuf
RT @narendramodi: Cast my vote in Ahmedabad. Urging all those voting today to turnout in record numbers and vote. https://t.co/m0X16uCtjA
RT @narendramodi: India will assume the G-20 Presidency for the coming year. Our agenda will be inclusive, ambitious, decisive and action-oriented. We will work to realise all aspects of our vision of ‘One Earth, One Family, One Future.’ https://t.co/fRFFcDqpzO
RT @narendramodi: Diwali is even more special when celebrated with our brave soldiers. Here are some glimpses from Kargil. https://t.co/FBttExwXhq
Key Insights & Takeaways
The user frequently references local leaders and government officials, indicating a focus on regional politics. Their tweets often include hashtags related to specific events or locations, suggesting a targeted audience. The user's content is likely aimed at informing followers about political developments and public events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 85,191
- + 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 @GovindSingh_R reveals an well-established Twitter presence with 85,191 followers. The account demonstrates a content-creator strategy, averaging 219.9 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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