Cognizant

Cognizant

@Cognizant

Cognizant (Nasdaq: CTSH) is dedicated to helping the world's leading companies build stronger businesses—helping them go from doing #digital to being digital.

Global (HQ: Teaneck, N.J.) https://www.cognizant.com/us/en Joined 2009-08-28 Date of Analysis: Dec 16, 2025

734,562

Followers

2,807

Following

49,568

Tweets

27.3

Avg Engagement

2,946

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Cognizant'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:2009-08-28
  • Verification:Yes
  • Location:Global (HQ: Teaneck, N.J.)

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:18.6
  • Avg Retweets per Tweet:8.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

Cognizant's tweets typically receive an average of 1,700 likes and 123 retweets, indicating a moderate level of engagement. The use of hashtags and links to external content helps drive interaction and visibility.

18.6

Avg Likes/Tweet

8.8

Avg Retweets/Tweet

60,276

Total Likes

28,478

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

10

Median Likes

1

Median Retweets

17

75th Percentile

4,905

Top Tweet

0.04

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

85.3%

Original

2.1%

Replies

11.6%

Retweets

1.0%

Quotes

0.0%

Threads

0.1%

With Media

69.9%

With Links

83.4%

With #Tags

31.1%

With @Mentions

3.0%

With Emojis

172

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.02

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

84.1%

Weekday Posts

15.9%

Weekend Posts

Top Hashtags

#futureofwork (593) #becognizant (338) #ai (322) #data (191) #covid19 (166) #theworkahead (150) #leadership (142) #iot (103) #healthcare (91) #analytics (75)

Most Mentioned

@cognizantnews (201) @astonmartinf1 (115) @cognizant (87) @xprize (65) @lpga (53) @forbes (46) @everestgroup (30) @cognizantthink (26) @benjaminpring (25) @mitsmr (25)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,772 (85%)
Replies 69 (2%)
Retweets 377 (12%)
Quote Tweets 31 (1%)

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 377 retweets (12% 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 3,249 tweets

Engagement 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 followers

The audience primarily consists of business professionals, technology enthusiasts, and fans of motorsports, particularly those interested in digital transformation and F1 racing. The content is tailored to appeal to both corporate and entertainment sectors.

Average

Audience Quality

32.1%

Suspicion Index

39.1%

Low-Quality %

7

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.5%

Empty Bio

47.4%

<10 Tweets

7.4%

Mass Following (>2K)

0.0%

New (<90 days)

68.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.9%

No URL

33.8%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

32,677,460

Total Potential Reach

7

Median Follower Reach

35

75th Percentile Reach

2.6%

>1K followers

0.4%

>10K followers

0.1%

>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).

28.5%

Creators

14,269 accounts

24.1%

Consumers

12,041 accounts

47.4%

Dormant

23,690 accounts

223

Verified Followers

0.45% of total

10.9%

Professional Bios

founder, dev, analyst, etc.

0.05

Median Follow Ratio

follower/following

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):

India (1,420) Hyderabad, India (837) Pune, India (702) Bengaluru, India (621) Chennai, India (535) Kolkata, India (492) New Delhi, India (491) Mumbai, India (423) Chennai (191) Tamil Nadu, India (182)

413

Verified Followers

0.41% of total

10,190

Protected Accounts

10.09% 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 14,105,165 Wrestler Wrestling, Motivation, Self-promotion
@AstonMartinF1 2,045,636 Formula 1 Formula 1, Aston Martin, Cognizant
@SinghLions 1,335,041 Restaurateur Food, Travel, Influencer
@LollyDaskal 1,233,466 Leadership Expert -
@adage 992,078 Advertising advertising, marketing, innovation
@StartupPro 981,923 Entrepreneurship Entrepreneurship, Technology, Investing
@Adweek 692,604 Advertising advertising, marketing, media
@TakaTina1 605,779 Comedian Comedy, Trendsetting, Brand Promotion
@VusiThembekwayo 570,505 Entrepreneur God, Speaker, Entrepreneur
@IamMzilikazi 545,483 Musician Pan-African music, Album, Rise

Top Keywords in Follower Bios

engineer (3,391) life (2,230) love (2,184) software (2,013) student (1,918) developer (1,453) indian (1,378) business (1,340) technology (1,226) lover (1,151)

Top Hashtags in Follower Bios

#ai (127) #tech (87) #engineer (76) #technology (75) #bitcoin (65) #iot (64) #indian (62) #blockchain (58) #digital (57) #digitalmarketing (56)

57,402

Followers With Bio

43,597

Followers Without Bio

56.83%

% With Bio

43.17%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,249 analyzed

15,378

Combined Engagement

8,755

Total Likes

6,623

Total Retweets

3,076

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

100%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Digital Transformation Motorsports Corporate Partnerships Technology F1 Racing Brand Visibility

Key Insights & Takeaways

Cognizant leverages high-profile partnerships like Aston Martin F1 to showcase its digital transformation capabilities. The account emphasizes its role in helping businesses transition to digital through strategic collaborations. Engagement is driven by a mix of news updates, quotes from executives, and links to further information.

Strengths

  • + Established follower base of 734,562
  • + 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 @Cognizant reveals an growing Twitter presence with 734,562 followers. The account demonstrates a content-creator strategy, averaging 27.3 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025