Boehringer Ingelheim

Boehringer Ingelheim

@Boehringer

Join the conversation on the latest in healthcare innovation from Boehringer Ingelheim HQ. #LifeForward Community Guidelines: https://www.boehringer-ingelheim.com/our-twitter-community-guidelines

Ingelheim, Germany https://t.co/7C5c8vHwIV Joined 2008-11-17 Date of Analysis: Dec 16, 2025

106,695

Followers

3,075

Following

15,476

Tweets

27.4

Avg Engagement

1,508

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Boehringer'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:2008-11-17
  • Verification:Yes
  • Location:Ingelheim, Germany

Data Summary

  • Tweets Analyzed:3,201
  • Avg Likes per Tweet:20.7
  • Avg Retweets per Tweet:6.7
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,201 tweets

The account has an average of 1,170 likes and 142 retweets per tweet, indicating moderate engagement. Verified accounts make up 1.1% of the followers, suggesting a professional and credible following.

20.7

Avg Likes/Tweet

6.7

Avg Retweets/Tweet

66,373

Total Likes

21,419

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

2

Median Retweets

17

75th Percentile

2,448

Top Tweet

0.26

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

62.7%

Original

22.3%

Replies

9.5%

Retweets

5.5%

Quotes

0.0%

Threads

0.3%

With Media

62.7%

With Links

75.6%

With #Tags

46.5%

With @Mentions

11.8%

With Emojis

203

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.36

Reply/Original Ratio

0.58

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

93.4%

Weekday Posts

6.6%

Weekend Posts

Top Hashtags

#press (236) #hcp (209) #opnme (186) #researchers (174) #erscongress (127) #wewontrest (106) #scleroderma (95) #covid19 (92) #copd (82) #pulmonaryfibrosis (80)

Most Mentioned

@efpia (110) @boehringer (107) @boehringer_ah (52) @lillypad (48) @boehringerus (35) @makingmoreh (28) @imi_ju (23) @boehringerde (18) @russell_doc (18) @d_b_mcconnell (17)

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Content Strategy Analysis

Based on 3,201 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,007 (63%)
Replies 715 (22%)
Retweets 304 (9%)
Quote Tweets 175 (5%)

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 304 retweets (9% 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 3,201 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

The primary audience includes healthcare professionals and patients interested in medical conditions. The content is tailored to inform and raise awareness about health issues.

Average

Audience Quality

25.0%

Suspicion Index

29.4%

Low-Quality %

38

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

37.2%

Empty Bio

30.9%

<10 Tweets

13.6%

Mass Following (>2K)

0.0%

New (<90 days)

49.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

79.1%

No URL

21.6%

<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.

5,317,749

Total Potential Reach

38

Median Follower Reach

184

75th Percentile Reach

6.5%

>1K followers

0.8%

>10K followers

0.2%

>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).

46.7%

Creators

4,673 accounts

22.3%

Consumers

2,233 accounts

30.9%

Dormant

3,094 accounts

109

Verified Followers

1.09% of total

13.0%

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):

London, England (64) United States (63) Germany (51) Boston, MA (47) India (40) United Kingdom (33) London (31) Vienna, Austria (31) Paris, France (29) Hyderabad, India (27)

109

Verified Followers

1.09% of total

1,106

Protected Accounts

11.06% of total

6 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
@EvanKirstel 346,988 Tech Influencer Tech, B2B, Social media
@Innov_Medicine 239,491 - -
@sallyeaves 137,738 Tech Influencer tech, education, business
@TonyJSelimi 100,222 Business Coach Personal Development, Business Performance, Filmmaking
@MarkMwandosya 86,015 Politician Politics, Education, Engineering
@NickUndrul 77,819 Blogger Learning, Sharing, Interests
@prnoticias 76,223 Media Communication, Marketing, Journalism
@MomItForward 73,728 Influencer Marketing food, crafts, parenting
@myvaluepicks 67,839 Investor Investing, Business, Price
@militaryhistori 60,646 - -

Top Keywords in Follower Bios

phd (474) research (352) student (306) health (303) life (235) medical (202) science (190) scientist (173) university (158) love (158)

Top Hashtags in Follower Bios

#biotech (25) #ai (21) #pharma (17) #cancer (12) #innovation (11) #science (10) #research (9) #lifesciences (9) #digitalhealth (9) #cryoem (8)

6,280

Followers With Bio

3,720

Followers Without Bio

62.8%

% With Bio

37.2%

% 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 3,201 analyzed

9,848

Combined Engagement

6,836

Total Likes

3,012

Total Retweets

1,970

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

20%

With @Mentions

80%

With Links

Topical Analysis:

Health Education Chronic Disease Management Patient Awareness Healthcare Innovation Medical Conditions Patient Impact
Boehringer Ingelheim
@Boehringer

It's time to appreciate the kidneys. Drinking too much alcohol can damage the kidneys and increase blood pressure, increasing the risk of heart disease. Drinking plenty of water will help your kidneys function properly and can positively impact your heart health too.

2022-03-17
Retweets: 397 Likes: 2,051 Engagement: 2,448
Boehringer Ingelheim
@Boehringer

RT @WHO: Watch this short animation to learn more about #COVID19, how it spreads and how to protect yourself against it. #coronavirus https://t.co/FdfJCiTLry

2020-03-30
Retweets: 2,255 Likes: 0 Engagement: 2,255
Boehringer Ingelheim
@Boehringer

#HCP: Palmoplantar pustulosis (PPP) causes non-infectious, pus-filled blisters on the palms of the hands and soles of the feet, often making everyday activities painful and challenging #skindiseases #EADV2019 https://t.co/keplBvdTiO

2019-10-11
Retweets: 114 Likes: 1,798 Engagement: 1,912
Boehringer Ingelheim
@Boehringer

#HCP: People with GPP &amp; PPP report substantial pain &amp; discomfort &amp; a negative impact on all aspects of daily life, including social relationships, mental health and the ability to perform day-to-day activities. #EADV2019 #psoriasis #autoinflammatory #skindiseases http

2019-10-09
Retweets: 114 Likes: 1,648 Engagement: 1,762
Boehringer Ingelheim
@Boehringer

#HCP: #DYK that #heartfailure risk is higher immediately after a #heartattack? Rapid diagnosis and treatment after a #heartattack are vital to save as much of the heart tissue as possible. https://t.co/FStZrLOATg

2020-05-26
Retweets: 132 Likes: 1,339 Engagement: 1,471

Key Insights & Takeaways

The account emphasizes health education and awareness, particularly around chronic conditions and their impact on daily life. It uses hashtags like #HCP to target healthcare professionals and specialists. Content often highlights the importance of early diagnosis and management of conditions like GPP and PPP.

Strengths

  • + Established follower base of 106,695
  • + 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 @Boehringer reveals an growing Twitter presence with 106,695 followers. The account demonstrates a content-creator strategy, averaging 27.4 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