Visit Rwanda

Visit Rwanda

@visitrwanda_now

Stunning scenery, diverse wildlife and warm, friendly people offer unique experiences in one of the world's most remarkable countries. Official twitter account.

Rwanda https://visitrwanda.com/ Joined 2009-10-19 Date of Analysis: Dec 16, 2025

182,309

Followers

782

Following

10,735

Tweets

202.3

Avg Engagement

449

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @visitrwanda_now'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:2009-10-19
  • Verification:No
  • Location:Rwanda

Data Summary

  • Tweets Analyzed:3,238
  • Avg Likes per Tweet:75.2
  • Avg Retweets per Tweet:127.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,238 tweets

The account maintains a consistent level of engagement with an average of 3,260 likes and 713 retweets per tweet. Its content often includes collaborations with high-profile athletes, which likely boosts interaction.

75.2

Avg Likes/Tweet

127.1

Avg Retweets/Tweet

243,545

Total Likes

411,548

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

29

Median Retweets

170

75th Percentile

179,545

Top Tweet

1.11

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

40.6%

Original

8.2%

Replies

48.0%

Retweets

3.2%

Quotes

0.0%

Threads

2.4%

With Media

59.6%

With Links

73.8%

With #Tags

82.0%

With @Mentions

31.7%

With Emojis

173

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.2

Reply/Original Ratio

0.07

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

76.6%

Weekday Posts

23.4%

Weekend Posts

Top Hashtags

#visitrwanda (1006) #rwanda (427) #remarkablerwanda (293) #temberaurwanda (212) #temberurwanda (175) #thebal (58) #kigali (54) #africa (54) #kwitaizina (50) #gameon (44)

Most Mentioned

@rdbrwanda (307) @akagerapark (170) @arsenal (169) @visitrwanda_now (148) @kwitaizina (148) @volcanoespark (139) @nyungwepark (126) @thebal (83) @psg_inside (67) @wearewilderness (61)

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 3,238 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,315 (41%)
Replies 266 (8%)
Retweets 1,553 (48%)
Quote Tweets 104 (3%)

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 1,553 retweets (48% 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 3,238 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 primary audience includes tourists and potential visitors interested in nature, wildlife, and cultural experiences. It also targets sports fans due to its collaborations with football personalities.

Average

Audience Quality

34.2%

Suspicion Index

44.7%

Low-Quality %

8

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

48.5%

Empty Bio

58.9%

<10 Tweets

5.3%

Mass Following (>2K)

0.0%

New (<90 days)

64.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.9%

No URL

40.8%

<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.

24,689,506

Total Potential Reach

8

Median Follower Reach

41

75th Percentile Reach

2.8%

>1K followers

0.3%

>10K followers

0.1%

>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).

17.9%

Creators

8,952 accounts

23.2%

Consumers

11,580 accounts

58.9%

Dormant

29,468 accounts

105

Verified Followers

0.21% of total

5.1%

Professional Bios

founder, dev, analyst, etc.

0.06

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):

Rwanda (3,049) Kigali (582) Kampala, Uganda (396) Kigali, Rwanda (244) Kigali Rwanda (200) Nairobi, Kenya (169) kigali (127) République Démocratique Du Con (121) Kigali-Rwanda (107) Uganda (101)

189

Verified Followers

0.19% of total

3,947

Protected Accounts

3.95% of total

3 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
@jackwhitehall 6,055,669 Actor/Comedian Comedy, Acting, Entertainment
@JordinSparks 3,505,843 Singer Music, Songwriting, Performing
@Benayadachraf 3,497,319 Unknown Technology, Innovation, Entrepreneurship
@Tripadvisor 3,416,497 Travel Influencer Travel, Vacations, Trips
@lnstantFoot 1,712,831 Football Blogger Football, Instant, Vivons
@Mo_Farah 1,435,069 Athlete Running, Athletics, Endurance
@gyaigyimii 1,351,576 Host Business, Host, Space
@SinghLions 1,333,803 Restaurateur Food, Travel, Influencer
@UlrichJvV 1,150,446 Activist Digital media, Global development, Gardening and sustainability
@WeAreMessi 1,095,962 Footballer Football, Barcelona, GOAT

Top Keywords in Follower Bios

god (3,798) rwanda (2,066) love (1,855) life (1,669) student (1,009) hard (912) rwandan (907) business (889) work (871) jesus (837)

Top Hashtags in Follower Bios

#teampk (139) #rwanda (88) #africa (37) #arsenal (29) #coyg (28) #rwot (27) #travel (25) #visitrwanda (25) #entrepreneur (23) #team (23)

59,114

Followers With Bio

40,886

Followers Without Bio

59.11%

% With Bio

40.89%

% 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 3,238 analyzed

205,702

Combined Engagement

18,547

Total Likes

187,155

Total Retweets

41,140

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Tourism Promotion Wildlife And Nature Sports Collaboration International Appeal Destination Branding

Key Insights & Takeaways

Collaborations with international football stars like Messi and Ramos help attract a global audience and increase visibility. Highlighting natural attractions such as Akagera Park and the 'land of a thousand hills' reinforces Rwanda's appeal as a tourist destination. Using hashtags like #VisitRwanda and #PSG_inside helps in driving traffic and promoting the country's tourism initiatives.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 182,309
  • + 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 @visitrwanda_now reveals an well-established Twitter presence with 182,309 followers. The account demonstrates a content-creator strategy, averaging 202.3 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