Urmila Matondkar
Actress. Activist. Politician. Aapli Mumbaichi Mulagi.
157,110
Followers
700
Following
3,470
Tweets
1,055.9
Avg Engagement
101
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @UrmilaMatondkar'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:2019-03-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:940.7
- Avg Retweets per Tweet:115.2
- Followers Analyzed:50,000
- Following Analyzed:555
Engagement Analysis
Based on 3,250 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is often relatable and thought-provoking, encouraging further discussion.
940.7
Avg Likes/Tweet
115.2
Avg Retweets/Tweet
3,057,336
Total Likes
374,397
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
154
Median Likes
11
Median Retweets
842
75th Percentile
73,707
Top Tweet
6.72
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
37.0%
Original
50.9%
Replies
2.0%
Retweets
10.1%
Quotes
0.0%
Threads
0.0%
With Media
39.1%
With Links
33.1%
With #Tags
66.5%
With @Mentions
81.7%
With Emojis
104
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.38
Reply/Original Ratio
4.98
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.3%
Weekday Posts
31.7%
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 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 66 retweets (2% 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 followersHer audience includes fans of her acting career, supporters of her activism, and followers interested in her political views. The audience is likely to be socially conscious and engaged with current issues.
Average
Audience Quality
26.3%
Suspicion Index
27.6%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.7%
Empty Bio
27.2%
<10 Tweets
10.8%
Mass Following (>2K)
0.0%
New (<90 days)
64.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
16.5%
<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.
49,375,192
Total Potential Reach
21
Median Follower Reach
91
75th Percentile Reach
4.4%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.2%
Creators
24,082 accounts
24.7%
Consumers
12,339 accounts
27.2%
Dormant
13,579 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):
364
Verified Followers
0.36% of total
6,777
Protected Accounts
6.71% 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 |
|---|---|---|---|
| @JohnCena | 14,101,624 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Riteishd | 11,400,238 | Actor | Actor, Architect, Producer |
| @hankypanty | 2,502,083 | Comedian | Comedy, Jokes, Videos |
| @ReallySwara | 1,993,253 | Actor | vibrator, trolls, actor |
| @milinddeora | 1,685,141 | Politician | Politics, Communication, Pragmatism |
| @supriya_sule | 1,672,956 | Politician | Politics, Maharashtra, Member of Parliament |
| @IndiaHistorypic | 1,378,894 | Historian | - |
| @ShayarImran | 1,365,501 | Politician | Politics, Poetry, Activism |
| @SinghLions | 1,333,692 | Restaurateur | Food, Travel, Influencer |
| @priyankac19 | 1,265,577 | Politician | Politics, Commerce, India |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,628
Followers With Bio
38,369
Followers Without Bio
62.01%
% With Bio
37.99%
% 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 analyzed222,219
Combined Engagement
195,425
Total Likes
26,794
Total Retweets
44,444
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
अक्कड़ बक्कड़ बंबे बो डीजल नब्बे पेट्रोल सौ सौ मे लगा धागा सिलेंडर ऊछल के भागा 😱😱
जनता के हौसलों की सड़कों पर धार देख, सब कुछ बदल रहा है चश्मा उतार देख।
मान्यवर... फटी हुई #jeans को तो देश का होनहार युवा संभाल लेगा.. लेकिन फटी हुई #economy का क्या..🤔🤫🤭 #RippedJeansTwitter #rippedjeans
तुमको मिर्ची लगीं तो मैं क्या करूँ 😀😝😜 Love this song 😜 What do you think..😆
मैग्सेसे पुरस्कार से सम्मानित वरिष्ठ पत्रकार और हर मायनों मे "पद्मश्री" पुरस्कार के सच्चे, सही दावेदार श्री.रविश कुमार जी को जन्मदिन की हार्दिक शुभकामनाये 💥💥 @ravishndtv https://t.co/jwUwDCy5Ew
Network & Following Analysis
Based on 555 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
75.5%
Verified Accounts
62.2%
High Authority (>50K)
0.2%
Dormant Accounts
0.5%
Low Quality
116,961
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
14.1%
Individuals
78 accounts
81.3%
Brands/Orgs
451 accounts
4.7%
Media/News
26 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @ Narendra Modi | 69,155,324 | - | - |
| @ Amitabh Bachchan | 45,729,223 | - | - |
| @ Shah Rukh Khan | 41,767,122 | - | - |
| @ Sachin Tendulkar | 35,588,708 | - | - |
| @ Joe Biden | 30,694,697 | - | - |
| @ Amit Shah | 26,099,512 | - | - |
| @ The Economist | 25,620,481 | - | - |
| @ Rajnath Singh | 20,175,229 | - | - |
| @ Rahul Gandhi | 19,091,838 | - | - |
| @ Jim Carrey | 18,665,287 | - | - |
Key Insights & Takeaways
Her use of humor and relatable content helps connect with a wide audience. She frequently blends personal and political themes, making her tweets more impactful. Her engagement metrics suggest a loyal and active follower base that values her voice.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 157,110
- + 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 @UrmilaMatondkar reveals an exceptionally influential Twitter presence with 157,110 followers. The account demonstrates a conversation-first approach, averaging 1,055.9 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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