Ola
Getting people where they need to be since 2011. Book from the Ola app, or website https://www.olacabs.com/ For support, reach out to @Ola_Supports
282,769
Followers
6
Following
23,737
Tweets
0.9
Avg Engagement
345
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Olacabs'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:2011-01-04
- Verification:Yes
- Location:India
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:0.6
- Avg Retweets per Tweet:0.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains moderate engagement with its followers, focusing on promotional content and customer interaction. It uses hashtags and links to drive traffic and awareness.
0.6
Avg Likes/Tweet
0.3
Avg Retweets/Tweet
2,066
Total Likes
859
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
397
Top Tweet
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
1.5%
Original
97.8%
Replies
0.2%
Retweets
0.5%
Quotes
0.0%
Threads
0.0%
With Media
57.7%
With Links
1.7%
With #Tags
98.6%
With @Mentions
4.3%
With Emojis
178
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
64.9
Reply/Original Ratio
2.5
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.3%
Weekday Posts
29.7%
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 6 retweets (0% 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 followersThe audience is likely urban users looking for reliable ride-hailing services. They are interested in promotions, company updates, and customer support.
Average
Audience Quality
30.1%
Suspicion Index
33.9%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.8%
Empty Bio
36.3%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
71.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.5%
No URL
22.0%
<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.
9,143,949
Total Potential Reach
9
Median Follower Reach
39
75th Percentile Reach
1.4%
>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).
33.1%
Creators
16,575 accounts
30.6%
Consumers
15,293 accounts
36.3%
Dormant
18,132 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):
194
Verified Followers
0.19% of total
8,962
Protected Accounts
8.96% 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 |
|---|---|---|---|
| @Maheshbhupathi | 949,899 | Tennis Player | Tennis, Sports, Entrepreneur |
| @SamiraIbrahim4 | 941,636 | Journalist | Journalism, Personal, Retweets |
| @thebetterindia | 801,939 | Media | Uplifting stories, social impact, India |
| @kunalb11 | 779,567 | Entrepreneur | Entrepreneur, Startups, Technology |
| @PleasureEllis | 685,794 | Entertainer | Music, Transformation, Celebration |
| @recycleindia | 399,961 | Environmental Activist | recycling, waste disposal, clean India |
| @Gopimohan | 369,865 | Screenwriter | Movies, Comedy, Entertainment |
| @SandovaLuciana | 254,372 | Journalist | Fashion, Beauty, Lifestyle |
| @secret_ch_com | 215,449 | Charity | Charity, Kuwait, Application |
| @KajalAgarwal | 209,744 | Journalist | News, Portal, Friends |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,401
Followers With Bio
43,599
Followers Without Bio
56.4%
% With Bio
43.6%
% 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 analyzed734
Combined Engagement
209
Total Likes
525
Total Retweets
147
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @bhash: Addressing the 2nd most popular question I get - Why does my driver cancel my Ola ride?!! We're taking steps to fix this indust…
@AnujRai97 https://t.co/nuJghJELou
🧊🥃 Raat chali itni lambi, mein paani paani ho gayi. We’ve got 🧊 at Re 1 for 1kg at Ola Store, on the Ola App. You’re Welcome 😉#HappyNewYear2022
RT @OlaElectric: 12 hours to the doors opening of the Ola Futurefactory! 12 hours to the largest Ola community meet! 12 hours to the first…
RT @OlaElectric: Get ready to see how your Ola S1 Pro comes to life! Get ready for the best Sunday ever⚡️ 19th June, only at the Ola Futur…
Key Insights & Takeaways
The account uses holiday-themed tweets to connect with users and promote offers. It highlights customer stories and driver partners to build brand trust and community. Promotional content, such as discounts and app features, is a key part of its strategy.
Strengths
- + Established follower base of 282,769
- + 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 @Olacabs reveals an growing Twitter presence with 282,769 followers. The account demonstrates a conversation-first approach, averaging 0.9 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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