Ashish Verma
Senior Editor @CNBC_Awaaz | Insta https://www.facebook.com/unsupportedbrowser
199,280
Followers
584
Following
41,034
Tweets
56.2
Avg Engagement
551
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AshVerma111'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:2014-05-25
- Verification:No
- Location:Mumbai
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:52.5
- Avg Retweets per Tweet:3.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets receive a moderate level of engagement, with an average of 1,667 likes and 447 retweets per tweet. This suggests that his content is well-received but not viral in nature.
52.5
Avg Likes/Tweet
3.7
Avg Retweets/Tweet
170,675
Total Likes
12,136
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
37
Median Likes
1
Median Retweets
65
75th Percentile
15,642
Top Tweet
0.28
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
64.0%
Original
12.1%
Replies
10.0%
Retweets
13.9%
Quotes
0.0%
Threads
0.0%
With Media
24.9%
With Links
81.5%
With #Tags
77.6%
With @Mentions
37.4%
With Emojis
132
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
1.39
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
81.0%
Weekday Posts
19.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 325 retweets (10% 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 3,250 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 likely includes investors, financial professionals, and individuals interested in market trends. The content is tailored to be accessible, making it appealing to both novice and experienced readers.
Average
Audience Quality
33.2%
Suspicion Index
42.7%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.8%
Empty Bio
43.8%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
74.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
28.6%
<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.
10,257,395
Total Potential Reach
6
Median Follower Reach
27
75th Percentile Reach
1.3%
>1K followers
0.2%
>10K followers
0.1%
>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).
28.5%
Creators
14,237 accounts
27.7%
Consumers
13,868 accounts
43.8%
Dormant
21,895 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):
160
Verified Followers
0.16% of total
6,993
Protected Accounts
6.92% of total
5 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 |
|---|---|---|---|
| @rahulkanwal | 4,470,680 | Journalist | News, Director, Anchor |
| @KapilMishra_IND | 1,410,764 | Politician | BJP, Hindu, Unity |
| @IndiaHistorypic | 1,378,180 | Historian | - |
| @SinghLions | 1,334,038 | Restaurateur | Food, Travel, Influencer |
| @LeBronJames | 1,001,308 | - | - |
| @recycleindia | 400,209 | Environmental Activist | recycling, waste disposal, clean India |
| @ErikSolheim | 333,307 | Environmental Activist | Environment, Sustainability, Green Energy |
| @iRobinArora | 270,597 | Influencer | MumbaiIndians, RohitSharma, Hrithik |
| @iamrakeshbansal | 248,754 | Stock Trader | Equity, Educational, Author |
| @prakashkalas | 246,223 | Activist | Population control, Truth, Religion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,876
Followers With Bio
56,123
Followers Without Bio
44.43%
% With Bio
55.57%
% 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 3,250 analyzed18,276
Combined Engagement
14,088
Total Likes
4,188
Total Retweets
3,655
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Test Your Lungs 🫁👍🏻 https://t.co/vb07Dla9uW
#SVBCollapse #SVBBank #SiliconValleyBank क्या है पूरा मामला … आसान शब्दों में समझ लेते हैं कल का बाजार खुलने से पहले Sorry दो Part में हो पाया पहला PART👇🏻 @CNBC_Awaaz https://t.co/3cILWXpISa
🙏🏻 https://t.co/3eA78QTlHr
Sabhi Ko Choti Diwali Ki Virat Aur Hardik Shubhkamnayein
#HappyHoli Everyone Beautiful Video … Sets The Mood :)👇🏻 (credit to the performers and creator) https://t.co/tiDHnapmFv
Key Insights & Takeaways
His content often breaks down complex financial topics into simple language, making it accessible to a wider audience. He frequently shares insights on market movements and economic events, positioning himself as a reliable source of financial news. His use of multimedia, such as links to articles, enhances the value of his tweets and encourages further reading.
Strengths
- + Established follower base of 199,280
- + 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 @AshVerma111 reveals an growing Twitter presence with 199,280 followers. The account demonstrates a content-creator strategy, averaging 56.2 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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