Peacock

Peacock

@dawisu

Kano PRP Gubernatorial Candidate in 2023 | Founding Curator @shapersKano | @Kennedy_School Alumni | Loving husband | Trying to be an amazing dad to my 3kids

Kano, Nigeria https://t.co/kXcCrYlNX3 Joined 2011-03-16 Date of Analysis: Dec 16, 2025

291,333

Followers

3,789

Following

379,142

Tweets

409.4

Avg Engagement

227

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @dawisu'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:2011-03-16
  • Verification:No
  • Location:Kano, Nigeria

Data Summary

  • Tweets Analyzed:3,150
  • Avg Likes per Tweet:27.0
  • Avg Retweets per Tweet:382.5
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,150 tweets

{'comments': 'Comments are probably dominated by reactions to the content (e.g., excitement, requests for more information).', 'reply_rate': 'Low, as the account rarely poses questions or engages in conversation.', 'likes_retweets': 'Likely varies significantly depending on content. High-profile trailers and announcements will generate substantial engagement, while less impactful posts may receive lower interaction.', 'overall_engagement': "Moderate to high, driven by the appeal of the content and the desire for updates on Peacock's offerings."}

27.0

Avg Likes/Tweet

382.5

Avg Retweets/Tweet

84,991

Total Likes

1,204,726

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

4

Median Retweets

40

75th Percentile

252,946

Top Tweet

1.41

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

17.4%

Original

26.7%

Replies

48.8%

Retweets

7.2%

Quotes

0.0%

Threads

0.2%

With Media

23.5%

With Links

10.7%

With #Tags

75.7%

With @Mentions

37.7%

With Emojis

89

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.54

Reply/Original Ratio

0.15

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

71.1%

Weekday Posts

28.9%

Weekend Posts

Top Hashtags

#yaallah (163) #prpnasara (43) #dawisugargai2023 (40) #dawisuforgovernor (32) #dawisunkano2023 (17) #newprofilepic (5) #katsinabased (5) #argentinavsfrance (5) #votefordawisu (4) #nigeriadecides2023 (4)

Most Mentioned

@dawisu (436) @noor_dantatii (95) @abdullahiabba_ (50) @el_uthmaan (48) @aminudalhat (45) @kanochronicle (45) @hayatu2023 (40) @ib_y22 (34) @govdawisu2023 (32) @maiagogon (29)

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Content Strategy Analysis

Based on 3,150 tweets

Content Type Distribution

Content Breakdown

Original Tweets 547 (17%)
Replies 840 (27%)
Retweets 1,537 (49%)
Quote Tweets 226 (7%)

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 1,537 retweets (49% 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 3,150 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

{'interests': "Streaming services, television shows, movies, entertainment news, comedy, drama (based on Peacock's content offerings).", 'demographics': 'Likely skewed towards streaming enthusiasts, entertainment consumers, and potential Peacock subscribers. Further analysis would require access to Twitter Analytics data.', 'follower_behavior': 'Expect a large portion of followers to be casual viewers and potential subscribers, rather than active community members due to the promotional nature of the account.'}

Average

Audience Quality

23.4%

Suspicion Index

24.7%

Low-Quality %

43

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

34.0%

Empty Bio

28.5%

<10 Tweets

11.7%

Mass Following (>2K)

0.0%

New (<90 days)

48.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.8%

No URL

15.4%

<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.

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Follower Reach & Influence

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

29,450,643

Total Potential Reach

43

Median Follower Reach

173

75th Percentile Reach

6.0%

>1K followers

0.6%

>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).

40.6%

Creators

20,302 accounts

30.9%

Consumers

15,443 accounts

28.5%

Dormant

14,255 accounts

74

Verified Followers

0.15% of total

8.8%

Professional Bios

founder, dev, analyst, etc.

0.1

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):

Nigeria (3,236) Kano, Nigeria (1,764) Lagos, Nigeria (1,564) Abuja, Nigeria (1,226) Kaduna, Nigeria (974) Federal Capital Territory, Nig (406) Katsina, Nigeria (335) Bauchi, Nigeria (281) Gombe, Nigeria (252) Abuja (222)

119

Verified Followers

0.12% of total

4,018

Protected Accounts

4.02% of total

4 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
@LeBronJames 1,005,489 - -
@Rahma_sadau 988,863 Actress Actress, Filmmaker, Philanthropist
@SAMKLEF 885,847 Blogger Music, Blogging, Networking
@UnclePamilerin 846,132 - -
@unkonfined 659,195 Influencer -
@SavvyRinu 626,359 Activist Activism, Strategy, Fashion
@TundeTASH 501,965 Immigration Consultant Tech Skills, Immigration, Study Abroad
@noelitoflow 473,723 Inspirational Speaker God, Jesus, Purpose
@ZimEye 419,272 Journalist Zimbabwe, Africa, Journalism
@aphroDIJA 413,227 Singer Music, Nigeria, Sierra Leone

Top Keywords in Follower Bios

love (3,273) allah (3,065) muslim (2,725) life (2,688) god (2,624) simple (2,584) state (1,768) proudly (1,748) business (1,659) lover (1,636)

Top Hashtags in Follower Bios

#abusite (113) #mufc (105) #endsars (80) #muslim (70) #bitcoin (63) #islam (52) #halamadrid (45) #proudly (43) #arsenal (42) #entrepreneur (37)

70,099

Followers With Bio

29,901

Followers Without Bio

70.1%

% With Bio

29.9%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,150 analyzed

623,446

Combined Engagement

0

Total Likes

623,446

Total Retweets

124,689

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Trailers New Releases Comedy Drama Sports (Wwe Premier League) Reality Tv Behind-The-Scenes Announcements

Key Insights & Takeaways

["The account's lack of following indicates a strictly promotional strategy, minimizing external interaction.", 'Content strategy heavily relies on visual elements (clips, trailers) to capture attention.', 'Engagement is directly tied to the appeal and newsworthiness of the showcased Peacock content.', 'The account effectively leverages the excitement around new releases to attract and retain followers.', 'A stronger community-building approach (e.g., polls, Q&As) could potentially increase overall engagement.']

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 291,333
  • + 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 @dawisu reveals an well-established Twitter presence with 291,333 followers. The account demonstrates a conversation-first approach, averaging 409.4 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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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