Divya Dutta
Actor | Author | Motivational Speaker | Yearning Traveller
604,021
Followers
362
Following
34,523
Tweets
261.7
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @divyadutta25'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:2010-04-10
- Verification:No
- Location:Mumbai
Data Summary
- Tweets Analyzed:3,226
- Avg Likes per Tweet:116.7
- Avg Retweets per Tweet:145.0
- Followers Analyzed:50,000
- Following Analyzed:355
Engagement Analysis
Based on 3,226 tweetsThe account has a strong engagement rate with an average of 7,480 likes and 489 retweets per tweet. The content is well-received, with a mix of humor, personal updates, and promotional material.
116.7
Avg Likes/Tweet
145.0
Avg Retweets/Tweet
376,623
Total Likes
467,749
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
54
75th Percentile
121,508
Top Tweet
0.43
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
16.5%
Original
21.6%
Replies
48.9%
Retweets
13.1%
Quotes
0.0%
Threads
0.5%
With Media
37.1%
With Links
31.6%
With #Tags
81.2%
With @Mentions
19.8%
With Emojis
105
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.31
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.3%
Weekday Posts
32.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,226 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 1,577 retweets (49% 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 3,226 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 followersThe audience includes fans of Divyadutta25's work, movie enthusiasts, and followers of motivational content. They are likely interested in entertainment news, personal growth, and celebrity interactions.
Below Average
Audience Quality
36.5%
Suspicion Index
39.1%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.3%
Empty Bio
47.1%
<10 Tweets
10.2%
Mass Following (>2K)
0.0%
New (<90 days)
86.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.1%
No URL
29.9%
<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.
23,622,699
Total Potential Reach
9
Median Follower Reach
37
75th Percentile Reach
1.4%
>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).
25.2%
Creators
12,591 accounts
27.8%
Consumers
13,882 accounts
47.1%
Dormant
23,527 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):
227
Verified Followers
0.23% of total
8,429
Protected Accounts
8.43% of total
4 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 |
|---|---|---|---|
| @ImRaina | 20,940,841 | Cricketer | Cricket, Co-Founder, Care |
| @JohnCena | 14,105,287 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rampalarjun | 4,442,740 | Actor | Music, Fate, Inspiration |
| @_RavinderSingh_ | 1,118,956 | Author | Writing, Entrepreneurship, Speaking |
| @atulkasbekar | 903,219 | Photographer | Photography, Production, Sports |
| @udayfoundation | 722,141 | Non-profit | health, humanitarian assistance, disaster relief |
| @unkonfined | 658,255 | Influencer | - |
| @IamMzilikazi | 546,119 | Musician | Pan-African music, Album, Rise |
| @bookmyshow | 492,182 | Ticketing | Movies, Events, Tickets |
| @theuniq | 383,862 | Media Personality | Discoveries, Stories, Videos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,274
Followers With Bio
43,726
Followers Without Bio
56.27%
% With Bio
43.73%
% 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 3,226 analyzed247,873
Combined Engagement
11,607
Total Likes
236,266
Total Retweets
49,575
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ambercrollo: all dog costumes should have fake arms so the front paws are the feet. i realize this now. https://t.co/efpS5aQ8zz
RT @elle91: This is the most important video I've ever seen. https://t.co/a8Yu8apntI
RT @AdityaRajKaul: A woman did her regular aerobics class out in open without realizing that a coup was taking place in #Myanmar. A Militar…
RT @danjlevy: Nobody should treat you better than you treat you. Remember that today. ♥️✌🏼
She looks menacing, but that doesn't even describe how evil she can be! presenting my look as Rohini for #Dhaakad, arriving in cinemas on 1st October 2021. @KanganaTeam @DeepakMukut @RazyGhai #sohelmaklai @AsylumFilms @rampalarjun @DhaakadTheMovie @CastingChhabra @writish http
Network & Following Analysis
Based on 355 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
63.7%
Verified Accounts
56.6%
High Authority (>50K)
0.8%
Dormant Accounts
1.7%
Low Quality
83,287
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
27.3%
Individuals
97 accounts
72.4%
Brands/Orgs
257 accounts
0.3%
Media/News
1 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @ Narendra Modi | 69,155,756 | - | - |
| @ Amitabh Bachchan | 45,729,228 | - | - |
| @ Salman Khan | 42,489,729 | - | - |
| @ Shah Rukh Khan | 41,767,159 | - | - |
| @ Akshay Kumar | 41,584,942 | - | - |
| @ Hrithik Roshan | 30,488,728 | - | - |
| @ Deepika Padukone | 27,670,091 | - | - |
| @ PRIYANKA | 27,180,876 | - | - |
| @ Alia Bhatt | 20,904,871 | - | - |
| @ Suresh Raina🇮🇳 | 18,841,629 | - | - |
Key Insights & Takeaways
The account frequently promotes film projects and personal milestones, indicating a focus on career and personal achievements. Interactions with celebrities like Salman Khan suggest a strategic approach to building relationships and visibility. The blend of humor and motivational content helps maintain a relatable and engaging persona.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 604,021
- + 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 @divyadutta25 reveals an well-established Twitter presence with 604,021 followers. The account demonstrates a conversation-first approach, averaging 261.7 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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