Renault India
The official Twitter page of Renault India. Drive away in our BS6 step 2 compliant range powered by new safety features.
299,046
Followers
43
Following
59,228
Tweets
1.1
Avg Engagement
315
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RenaultIndia'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:2011-03-09
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:0.9
- Avg Retweets per Tweet:0.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady engagement rate with an average of 40 likes and 7 retweets per tweet. The engagement is relatively low compared to other accounts, suggesting a need for more interactive content.
0.9
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
2,855
Total Likes
582
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
71
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
5.9%
Original
93.8%
Replies
0.0%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
45.5%
With Links
7.2%
With #Tags
93.9%
With @Mentions
0.7%
With Emojis
152
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
15.8
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.9%
Weekday Posts
27.1%
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.
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 followersThe primary audience is likely Indian car buyers interested in Renault's latest models and innovations. The content is tailored to appeal to those looking for safe, modern, and eco-friendly vehicles.
Average
Audience Quality
30.4%
Suspicion Index
32.1%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.3%
Empty Bio
34.6%
<10 Tweets
10.2%
Mass Following (>2K)
0.0%
New (<90 days)
73.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
20.9%
<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.
21,910,234
Total Potential Reach
14
Median Follower Reach
51
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).
35.2%
Creators
17,608 accounts
30.2%
Consumers
15,111 accounts
34.6%
Dormant
17,281 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):
165
Verified Followers
0.17% of total
10,954
Protected Accounts
10.95% of total
6 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 | 14,102,327 | Wrestler | Wrestling, Motivation, Self-promotion |
| @thebetterindia | 801,933 | Media | Uplifting stories, social impact, India |
| @recycleindia | 399,964 | Environmental Activist | recycling, waste disposal, clean India |
| @jaggirm | 372,640 | Influencer | Love, Appreciate, Friends |
| @ceoworld | 333,935 | CEO | business, leadership, journalism |
| @LouisSerge | 305,218 | - | - |
| @scherargei | 296,125 | Politician | Politics, Law, Leadership |
| @PamMktgNut | 281,225 | Digital Marketing | Marketing, Storytelling, Technology |
| @HNMishra11 | 187,338 | - | - |
| @afhitcom | 184,191 | Social Media Manager | Social Media, Marketing, Window Cleaning |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,996
Followers With Bio
40,004
Followers Without Bio
60.0%
% With Bio
40.0%
% 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 analyzed268
Combined Engagement
235
Total Likes
33
Total Retweets
54
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/CfM7EJjnoV
Renault wishes you a #HappyHoli https://t.co/Khq6RhJH9A
Renault reveals new Clio E-Tech full hybrid 145 hp. the electric without charging. same love, new energy. #Renault #Clio #Etech #fullhybrid https://t.co/pecVQVBMle
Born from AI, built by renault. since 1993, you invent the life that goes with #Twingo. For it’s 30th anniversary #ReinventTwingo with the power of AI, we will bring it to life #BornfromAI #Twingo30 https://t.co/0hWxSopdSD
To brighten the upcoming Onam festivities, we made 200+ Renault deliveries today. We wish them endless joyrides ahead. Repost : Renault TVS https://t.co/H96UC1D4eQ
Key Insights & Takeaways
The account frequently highlights new models and technological advancements, indicating a focus on innovation and product promotion. The use of hashtags like #Renault and #Clio helps in increasing visibility and engagement. The account also participates in cultural events like Holi, which helps in building brand awareness and customer connection.
Strengths
- + Established follower base of 299,046
- + 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 @RenaultIndia reveals an growing Twitter presence with 299,046 followers. The account demonstrates a conversation-first approach, averaging 1.1 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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