Temjen Imna Along

Temjen Imna Along

@AlongImna

Tourism & Higher Education Minister, Nagaland https://linktr.ee/alongimna

Ministers Hill, Kohima https://t.co/l2hWFHGJBC Joined 2018-07-05 Date of Analysis: Dec 16, 2025

319,857

Followers

483

Following

13,260

Tweets

2,021.6

Avg Engagement

115

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @AlongImna'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:2018-07-05
  • Verification:No
  • Location:Ministers Hill, Kohima

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:1,395.5
  • Avg Retweets per Tweet:626.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,248 tweets

The account maintains a high level of engagement, with consistent likes and retweets. The content is both informative and relatable, contributing to its popularity.

1,395.5

Avg Likes/Tweet

626.2

Avg Retweets/Tweet

4,532,437

Total Likes

2,033,821

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

38

Median Retweets

1,081

75th Percentile

107,220

Top Tweet

6.32

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

29.1%

Original

17.4%

Replies

46.9%

Retweets

6.7%

Quotes

0.0%

Threads

0.4%

With Media

45.4%

With Links

26.2%

With #Tags

79.5%

With @Mentions

16.7%

With Emojis

158

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.6

Reply/Original Ratio

0.14

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.6%

Weekday Posts

26.4%

Weekend Posts

Top Hashtags

#nagaland (50) #mannkibaat (39) #northeast (37) #nat2022 (18) #nep2020 (17) #newindia (16) #aatmanirbharbharat (16) #examwarriors (16) #harghartiranga (16) #ppc2023 (15)

Most Mentioned

@narendramodi (621) @bjp4india (272) @eduminofindia (209) @mygovindia (204) @bjp4nagaland (199) @jpnadda (168) @blsanthosh (113) @mundaarjun (112) @mygovnagaland (105) @mdoner_india (91)

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 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 944 (29%)
Replies 564 (17%)
Retweets 1,523 (47%)
Quote Tweets 217 (7%)

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 1,523 retweets (47% 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 3,248 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 appears to be a mix of followers interested in Nagaland's tourism and education sectors, as well as general social media users. The verified status suggests a blend of public and private engagement.

Average

Audience Quality

24.7%

Suspicion Index

31.7%

Low-Quality %

15

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.7%

Empty Bio

29.4%

<10 Tweets

4.5%

Mass Following (>2K)

0.0%

New (<90 days)

56.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.8%

No URL

17.7%

<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.

55,971,256

Total Potential Reach

15

Median Follower Reach

59

75th Percentile Reach

3.3%

>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).

45.4%

Creators

22,678 accounts

25.2%

Consumers

12,623 accounts

29.4%

Dormant

14,699 accounts

357

Verified Followers

0.71% of total

7.9%

Professional Bios

founder, dev, analyst, etc.

0.08

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 (2,420) New Delhi, India (1,331) Mumbai, India (742) Bengaluru, India (533) Pune, India (445) Hyderabad, India (295) Mumbai (293) New Delhi (253) Kolkata, India (247) Lucknow, India (229)

673

Verified Followers

0.67% of total

6,380

Protected Accounts

6.32% 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
@rajnathsingh 23,605,636 Politician Defence, Minister, India
@ImRaina 20,953,797 Cricketer Cricket, Co-Founder, Care
@KapilSharmaK9 19,865,131 Comedian Comedy, Entertainment, Laughter
@JohnCena 14,102,065 Wrestler Wrestling, Motivation, Self-promotion
@smritiirani 12,727,500 Politician Women's empowerment, Child welfare, Politics
@JM_Scindia 5,268,795 Politician Public service, Cricket, Aviation
@anjanaomkashyap 4,787,686 Journalist News, Journalism, Politics
@PrakashJavdekar 2,878,669 Politician Politics, Education, Environment
@girirajsinghbjp 1,807,330 Politician Nationalism, BJP, Rural Development
@Ra_THORe 1,753,091 Politician Member of Parliament, Olympic Medalist, Indian Army

Top Keywords in Follower Bios

indian (3,268) proud (2,421) student (2,132) engineer (2,061) life (1,754) love (1,736) india (1,616) personal (1,333) hindu (1,263) lover (1,155)

Top Hashtags in Follower Bios

#indian (87) #र (71) #ह (55) #स (55) #nationfirst (53) #जय_श (51) #engineer (49) #student (46) #rss (45) #bjp (44)

55,901

Followers With Bio

45,098

Followers Without Bio

55.35%

% With Bio

44.65%

% 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 3,248 analyzed

412,212

Combined Engagement

370,256

Total Likes

41,956

Total Retweets

82,442

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Tourism Education Personal Branding Government Communication Social Engagement

Key Insights & Takeaways

The user frequently shares personal and humorous content, which helps build a relatable image. They use Twitter to promote both official initiatives and personal interactions. The account balances professional messaging with casual, engaging posts.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 319,857
  • + 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 @AlongImna reveals an exceptionally influential Twitter presence with 319,857 followers. The account demonstrates a content-creator strategy, averaging 2,021.6 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