Chris Hawkey

Chris Hawkey

@Chris_Hawkey

Powertrip Morning Show on KFAN. Vocals for Chris Hawkey Band, The Fabulous Armadillos, and Rocket Club. Producer MN Vikings Radio Network. Still in Pursuit...

https://chrishawkey.com/ Joined 2009-04-27 Date of Analysis: Dec 16, 2025

108,871

Followers

3,134

Following

56,003

Tweets

177.7

Avg Engagement

349

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Chris_Hawkey'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:2009-04-27
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,243
  • Avg Likes per Tweet:38.3
  • Avg Retweets per Tweet:139.4
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,243 tweets

His tweets typically receive a high number of likes, indicating strong audience approval, while retweets are more moderate, suggesting a mix of personal and professional followers. His content is engaging and relatable.

38.3

Avg Likes/Tweet

139.4

Avg Retweets/Tweet

124,123

Total Likes

452,090

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

1

Median Retweets

23

75th Percentile

115,901

Top Tweet

1.63

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

11.1%

Original

26.4%

Replies

47.8%

Retweets

14.7%

Quotes

0.0%

Threads

0.3%

With Media

65.4%

With Links

20.1%

With #Tags

84.9%

With @Mentions

8.2%

With Emojis

117

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.37

Reply/Original Ratio

0.31

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

73.7%

Weekday Posts

26.3%

Weekend Posts

Top Hashtags

#skol (72) #rocketclubreturns (44) #vikings (31) #initials (25) #newprofilepic (24) #kfanvikes (23) #gettheduckout (22) #powertrip (20) #powertripvegas (20) #initialsinvitational (17)

Most Mentioned

@chris_hawkey (549) @powertripkfan (532) @meatsauce1 (352) @rocketclubband (184) @corycove (183) @kfan1003 (181) @cultivated_cbd (133) @marneygellner (110) @initialsgame (108) @nacholeber (103)

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 3,243 tweets

Content Type Distribution

Content Breakdown

Original Tweets 361 (11%)
Replies 856 (26%)
Retweets 1,550 (48%)
Quote Tweets 476 (15%)

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 1,550 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 3,243 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 10,000 followers

His followers likely include fans of his radio shows, music fans, and sports enthusiasts, particularly those interested in Minnesota Vikings coverage. The audience also seems to appreciate his candid and humorous take on events.

Average

Audience Quality

30.6%

Suspicion Index

43.6%

Low-Quality %

18

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

58.0%

Empty Bio

40.1%

<10 Tweets

11.9%

Mass Following (>2K)

0.0%

New (<90 days)

55.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.8%

No URL

29.3%

<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.

6,856,834

Total Potential Reach

18

Median Follower Reach

108

75th Percentile Reach

3.9%

>1K followers

0.5%

>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).

36.8%

Creators

3,676 accounts

23.2%

Consumers

2,316 accounts

40.1%

Dormant

4,008 accounts

130

Verified Followers

1.3% of total

4.3%

Professional Bios

founder, dev, analyst, etc.

0.09

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):

Minnesota, USA (288) Minneapolis, MN (254) United States (120) Minnesota (104) St Paul, MN (57) Fargo, ND (29) USA (27) Minneapolis (27) Duluth, MN (22) Wisconsin, USA (20)

130

Verified Followers

1.3% of total

695

Protected Accounts

6.95% 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
@SinghLions 1,330,899 Restaurateur Food, Travel, Influencer
@iownjd 771,982 Lawyer learn, inspire, engage
@EvanKirstel 346,998 Tech Influencer Tech, B2B, Social media
@Havenlust 294,117 Photographer Photography, Travel, Art
@GoogleExpertUK 261,124 SEO Expert SEO, Cruise, Art
@Crazy_ButCute2 237,578 Influencer Nerdy, dirty, inked
@AlcanderLoyola 186,600 - -
@DailyGrindVideo 146,654 - -
@iamstevencooper 135,690 - -
@travisa850 129,424 Cannabis Advocate Cannabis, GreenLove, Travel

Top Keywords in Follower Bios

sports (336) love (227) minnesota (208) life (190) vikings (164) husband (161) mn (149) father (143) dad (133) football (131)

Top Hashtags in Follower Bios

#skol (77) #1 (17) #mnwild (14) #raisedbywolves (14) #mntwins (14) #maga (10) #vikings (7) #nfl (7) #girldad (6) #22 (5)

4,204

Followers With Bio

5,796

Followers Without Bio

42.04%

% With Bio

57.96%

% 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 3,243 analyzed

273,999

Combined Engagement

0

Total Likes

273,999

Total Retweets

54,800

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Sports Music Radio Entertainment Personal Reflection Community Engagement

Key Insights & Takeaways

He frequently shares personal reactions to sports events, especially involving the Minnesota Vikings, showing a deep connection to the team and its impact on him. His tweets often include hashtags and links, indicating a desire to engage with specific communities and share real-time updates. He balances professional achievements with personal reflections, offering a well-rounded view of his life and career.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 108,871
  • + 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 @Chris_Hawkey reveals an well-established Twitter presence with 108,871 followers. The account demonstrates a conversation-first approach, averaging 177.7 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