Bogolo Kenewendo

Bogolo Kenewendo

@BogoloKenewendo

Regionalisation Director, Special Advisor @UN Climate Change Champions @hlcchampions| Economist| Fmr Minister of Trade| #Time100next Honoree | @WEF YGL

Botswana https://www.kenewendo.com/ Joined 2013-09-25 Date of Analysis: Dec 16, 2025

78,827

Followers

2,175

Following

6,863

Tweets

120.5

Avg Engagement

99

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @BogoloKenewendo'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: Mid-Tier (10K+)
  • Account Age:2013-09-25
  • Verification:No
  • Location:Botswana

Data Summary

  • Tweets Analyzed:3,235
  • Avg Likes per Tweet:25.4
  • Avg Retweets per Tweet:95.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,235 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction. The mix of policy announcements and personal content keeps followers engaged.

25.4

Avg Likes/Tweet

95.1

Avg Retweets/Tweet

82,227

Total Likes

307,664

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

2

Median Retweets

27

75th Percentile

30,882

Top Tweet

1.53

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

19.2%

Original

34.2%

Replies

27.5%

Retweets

19.1%

Quotes

0.0%

Threads

0.1%

With Media

60.8%

With Links

35.1%

With #Tags

70.3%

With @Mentions

33.4%

With Emojis

137

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.78

Reply/Original Ratio

0.7

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

84.0%

Weekday Posts

16.0%

Weekend Posts

Top Hashtags

#cop27 (84) #semp (74) #bjk (57) #strongertogether (55) #teammiti (49) #africa (43) #domination (29) #covid19 (27) #botswana (25) #climateaction (22)

Most Mentioned

@bogolokenewendo (262) @tshepanglerato (153) @hlcchampions (106) @bwgovernment (86) @tradeexperettes (44) @verlainediane (39) @victorbaatweng (39) @officialmasisi (39) @teej_the_joy (38) @unenvoymm (34)

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 3,235 tweets

Content Type Distribution

Content Breakdown

Original Tweets 622 (19%)
Replies 1,105 (34%)
Retweets 889 (27%)
Quote Tweets 619 (19%)

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 889 retweets (27% 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 3,235 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

His audience includes policymakers, climate change advocates, and professionals interested in economic development. Followers are likely engaged in public policy and social justice issues.

Average

Audience Quality

28.5%

Suspicion Index

39.4%

Low-Quality %

14

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

34.5%

Empty Bio

60.6%

<10 Tweets

5.0%

Mass Following (>2K)

0.0%

New (<90 days)

41.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

94.1%

No URL

44.4%

<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.

58,008,413

Total Potential Reach

14

Median Follower Reach

67

75th Percentile Reach

4.3%

>1K followers

0.7%

>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).

18.1%

Creators

9,045 accounts

21.3%

Consumers

10,632 accounts

60.6%

Dormant

30,323 accounts

174

Verified Followers

0.35% of total

5.8%

Professional Bios

founder, dev, analyst, etc.

0.13

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):

Botswana (8,308) Gaborone (1,657) Gaborone, Botswana (697) Gaborone,Botswana (345) Gaborone Botswana (288) Francistown (224) South Africa (178) Johannesburg, South Africa (153) Botswana🇧🇼 (122) Botswana, Gaborone (121)

326

Verified Followers

0.43% of total

4,715

Protected Accounts

6.15% 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
@JohnCena 14,106,707 Wrestler Wrestling, Motivation, Self-promotion
@verified 4,201,389 - -
@DJZinhle 3,572,397 DJ Music, Fashion, Africa
@PearlThusi 3,474,891 Actress Actress, Netflix, Africa
@LarryMadowo 2,451,770 Journalist Journalism, Travel, Humor
@DJFreshSA 2,390,190 DJ Music, Radio, House
@bonifacemwangi 1,833,547 Activist Activism, Social Justice, Filmmaking
@tito_mboweni 1,472,702 Politician Economics, Politics, Agriculture
@FloydShivambu 1,390,800 Politician Dialectical Materialism, Labour Theory of Value, Revolution
@jokateM 1,111,224 Public Servant Fashion, Leadership, Community Engagement

Top Keywords in Follower Bios

god (2,691) life (2,472) love (2,353) entrepreneur (1,006) business (945) loving (917) botswana (916) music (915) lover (846) live (782)

Top Hashtags in Follower Bios

#africa (73) #botswana (47) #sdgs (46) #mufc (29) #climate (21) #innovation (21) #1 (19) #trade (19) #humanrights (18) #entrepreneur (18)

51,475

Followers With Bio

25,220

Followers Without Bio

67.12%

% With Bio

32.88%

% 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 3,235 analyzed

114,752

Combined Engagement

0

Total Likes

114,752

Total Retweets

22,950

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Policy Reform Climate Change Spirituality Leadership Economic Development Social Justice

Key Insights & Takeaways

He frequently shares updates on legislative achievements, particularly in areas like child protection and policy reform. His content includes personal gratitude and spiritual reflections, which resonate with his audience. He uses hashtags to highlight key initiatives and personal milestones, increasing visibility and engagement.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 78,827
  • + 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 @BogoloKenewendo reveals an well-established Twitter presence with 78,827 followers. The account demonstrates a conversation-first approach, averaging 120.5 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