Rajasthan CM Helpdesk
To reply the queries and problems.
96,639
Followers
36
Following
8,814
Tweets
3.1
Avg Engagement
57
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CMHelpdesk'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:2020-03-25
- Verification:No
- Location:Jaipur, Rajasthan
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:2.5
- Avg Retweets per Tweet:0.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,236 tweetsThe account maintains a steady level of engagement, with an average of 267 likes and 34 retweets per tweet. The engagement appears to be consistent, though not exceptionally high, indicating a focused but not widely viral strategy.
2.5
Avg Likes/Tweet
0.6
Avg Retweets/Tweet
8,036
Total Likes
2,021
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
2
75th Percentile
1,584
Top Tweet
0.03
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
0.4%
Original
91.7%
Replies
7.6%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
1.5%
With Links
0.0%
With #Tags
99.7%
With @Mentions
2.0%
With Emojis
102
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
247.42
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
90.9%
Weekday Posts
9.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 247 retweets (8% 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 3,236 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 likely consists of individuals seeking help or support, possibly from a customer service or technical support background. The account's focus on mobile numbers suggests it may target users needing direct contact for assistance.
Average
Audience Quality
32.9%
Suspicion Index
48.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.6%
Empty Bio
51.6%
<10 Tweets
1.9%
Mass Following (>2K)
0.0%
New (<90 days)
63.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.0%
No URL
35.7%
<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.
1,057,322
Total Potential Reach
4
Median Follower Reach
19
75th Percentile Reach
1.8%
>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).
23.6%
Creators
2,360 accounts
24.8%
Consumers
2,484 accounts
51.6%
Dormant
5,156 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):
20
Verified Followers
0.2% of total
525
Protected Accounts
5.25% 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 |
|---|---|---|---|
| @Iamrekhameena | 63,107 | Self-care influencer | Self-care, Compliments, Gratitude |
| @Gadhwara27 | 41,269 | Journalist | Rural life, Journalism, Love |
| @GRKhatana_ | 29,162 | - | - |
| @DGHaryana | 20,317 | - | - |
| @BureaucracyBuzz | 15,326 | - | - |
| @Rajesh__Godara | 13,823 | - | - |
| @kamlesh_sapotra | 13,710 | - | - |
| @The_DilipRajput | 12,747 | - | - |
| @dineshdangi84 | 12,457 | - | - |
| @8PMnCM | 12,002 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,935
Followers With Bio
6,065
Followers Without Bio
39.35%
% With Bio
60.65%
% 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 3,236 analyzed2,549
Combined Engagement
2,282
Total Likes
267
Total Retweets
510
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
कृपया अपना मोबाइल नंबर शेयर करें। https://t.co/UC2a8ey9jq
कृपया अपना मोबाइल नंबर शेयर करें। https://t.co/lvKYY9pOwq
कृपया अपना मोबाइल नंबर शेयर करें। https://t.co/ZjUnSvlmU4
कृपया अपना मोबाइल नंबर शेयर करें। https://t.co/jKe6NnSywD
विद्युत सप्लाई सुचारू कर दी गई है। https://t.co/bf0MvwxrCx
Key Insights & Takeaways
The account primarily uses direct requests for mobile numbers, which may indicate a need for personal contact or verification. The majority of tweets are repetitive, suggesting a lack of varied content or strategy. The account has a low number of verified accounts, which may indicate a lack of credibility or trust among followers.
Strengths
- + Established follower base of 96,639
- + 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 @CMHelpdesk reveals an growing Twitter presence with 96,639 followers. The account demonstrates a conversation-first approach, averaging 3.1 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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