Kimberly Acquaviva 🏳️‍🌈 (she/her)

Kimberly Acquaviva 🏳️‍🌈 (she/her)

@kimacquaviva

Preppy, nerdy, queer @UVA professor striving to make healthcare LGBTQIA+ inclusive. Quaker. Views are my own & don't represent my employer AT ALL.

Charlottesville, VA https://www.kimberly-acquaviva.com/ Joined 2009-07-02 Date of Analysis: Dec 16, 2025

11,760

Followers

6,686

Following

35,590

Tweets

96

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @kimacquaviva'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:2009-07-02
  • Verification:No
  • Location:Charlottesville, VA

Data Summary

  • Followers Analyzed:11,714

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Audience Demographics

Based on 11,714 followers

Kim's audience likely includes students, educators, LGBTQIA+ advocates, and healthcare professionals interested in inclusivity. Their content appeals to those seeking intersectional perspectives on health and identity.

Good

Audience Quality

15.0%

Suspicion Index

9.0%

Low-Quality %

443

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

14.3%

Empty Bio

6.7%

<10 Tweets

33.2%

Mass Following (>2K)

0.0%

New (<90 days)

17.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

64.7%

No URL

3.7%

<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.

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Follower Reach & Influence

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

64,028,280

Total Potential Reach

443

Median Follower Reach

1,545

75th Percentile Reach

33.0%

>1K followers

6.5%

>10K followers

1.7%

>50K followers

0.9%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

83.0%

Creators

9,723 accounts

10.3%

Consumers

1,212 accounts

6.7%

Dormant

779 accounts

216

Verified Followers

1.84% of total

25.2%

Professional Bios

founder, dev, analyst, etc.

0.41

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):

Washington, DC (251) United States (161) Charlottesville, VA (148) New York, NY (133) Boston, MA (131) Chicago, IL (107) Philadelphia, PA (107) Los Angeles, CA (90) Baltimore, MD (75) London, England (73)

216

Verified Followers

1.84% of total

1,276

Protected Accounts

10.89% of total

9 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
@6BillionPeople 2,008,523 - -
@Delta 1,654,090 Airline Travel, Customer Service, Aviation
@LollyDaskal 1,220,014 Leadership Expert -
@TheCooksCook 1,120,067 Culinary Entrepreneur cooking, community, multimedia
@bernabephoto 1,014,962 Photographer Photography, Travel, Wildlife
@EdKrassen 1,002,067 Journalist Politics, Journalism, Author
@donwinslow 932,866 Author books, writing, reading
@zoecello 893,249 Cellist music, cello, charismatic
@thinkgeek 850,923 Retailer technology, geek culture, gadgets
@bouska 833,881 Fashion Photographer Fashion, Photography, Activism

Top Keywords in Follower Bios

sheher (1,347) health (1,311) views (863) mom (689) nurse (591) tweets (580) professor (557) palliative (515) phd (499) opinions (490)

Top Hashtags in Follower Bios

#blm (131) #meded (96) #hapc (75) #blacklivesmatter (73) #medtwitter (60) #hpm (50) #healthequity (49) #palliativecare (49) #firstgen (47) #mentalhealth (43)

10,044

Followers With Bio

1,670

Followers Without Bio

85.74%

% With Bio

14.26%

% 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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Key Insights & Takeaways

Kim's profile highlights a blend of academic and activist identity, which may influence their content focus and audience trust. Their Quaker background likely informs their values-driven approach to LGBTQIA+ healthcare advocacy. The low engagement suggests a deliberate strategy to prioritize depth over reach, possibly targeting specific communities rather than broad appeal.

Strengths

  • + Established follower base of 11,760
  • + 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 @kimacquaviva reveals an growing Twitter presence with 11,760 followers. The account demonstrates a content-creator strategy, averaging 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