Dr. Bronner's
Celebrating our 75th anniversary! In all we do, let us be generous, fair & loving to Spaceship Earth & all its inhabitants. For We're All-One or None!
66,572
Followers
32,990
Following
42,564
Tweets
17.4
Avg Engagement
879
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DrBronner'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:2010-01-05
- Verification:No
- Location:Vista, CA
Data Summary
- Tweets Analyzed:3,216
- Avg Likes per Tweet:13.7
- Avg Retweets per Tweet:3.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,216 tweetsThe account has moderate engagement with an average of 1,405 likes and 213 retweets per tweet. The content often sparks interaction and discussion.
13.7
Avg Likes/Tweet
3.7
Avg Retweets/Tweet
44,182
Total Likes
11,886
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
5
75th Percentile
3,012
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
Conversationalist
Highly engaged in discussions
16.5%
Original
74.7%
Replies
7.2%
Retweets
1.6%
Quotes
0.0%
Threads
0.3%
With Media
60.8%
With Links
7.4%
With #Tags
84.9%
With @Mentions
8.8%
With Emojis
134
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.53
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
94.8%
Weekday Posts
5.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,216 tweetsContent Type Distribution
Content Breakdown
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 230 retweets (7% 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 3,216 tweetsEngagement 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 followersThe audience likely includes environmentally conscious individuals, activists, and those interested in social justice. They may also be interested in natural products and holistic living.
Good
Audience Quality
17.4%
Suspicion Index
13.8%
Low-Quality %
186
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.1%
Empty Bio
7.5%
<10 Tweets
27.3%
Mass Following (>2K)
0.0%
New (<90 days)
30.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
73.8%
No URL
4.5%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
27,464,934
Total Potential Reach
186
Median Follower Reach
570
75th Percentile Reach
15.4%
>1K followers
1.8%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
82.3%
Creators
8,226 accounts
10.2%
Consumers
1,022 accounts
7.5%
Dormant
752 accounts
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):
181
Verified Followers
1.81% of total
1,183
Protected Accounts
11.83% of total
8 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 | 14,071,099 | Wrestler | Wrestling, Motivation, Self-promotion |
| @EricHolthaus | 485,199 | Climate Activist | Climate justice, Youth empowerment, COP26 |
| @charlesyeo | 352,820 | Publisher | publishing, entrepreneur, technology |
| @gingerbanks1 | 318,376 | - | - |
| @JustinWhang | 309,986 | YouTuber | YouTube videos, Guitar, Pee and Poo |
| @IamCvind | 255,118 | Musicians | Music, Parenting, Marketing |
| @RedTRaccoon | 231,936 | Advocate | Veteran, Advocate, Digital Organizer |
| @superdrug | 215,751 | Retail | beauty, health, skincare |
| @KryssyLaReina | 185,552 | Influencer | Sports, Music, True Crime |
| @morethanmySLE | 160,676 | Advocate | Healthcare, Cancer, Lupus |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,692
Followers With Bio
2,308
Followers Without Bio
76.92%
% With Bio
23.08%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,216 analyzed10,977
Combined Engagement
9,835
Total Likes
1,142
Total Retweets
2,195
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
NO ONE SHOULD BE IN JAIL FOR USING CANNABIS.
@CarlosMaslaton Thank you Carlos! :) ~Andre'
1945: Dr. Bronner escapes Elgin State Insane Asylum after being institutionalized for espousing his views to unite the human race. He escaped on his third attempt & hitchhiked to Los Angeles where he continued preaching his All-One sermons in Pershing Square. #DrBronnersHist
@Mya5eva_ This may be helpful! https://t.co/YmaJVN2yhJ :) ~Andre' #green #cleaning
END THE RACIST WAR ON DRUGS!
Key Insights & Takeaways
The account frequently highlights social justice issues, such as cannabis legalization. It engages with other verified accounts and users, fostering a sense of community. The use of hashtags like #green and #cleaning suggests a focus on sustainability and natural living.
Strengths
- + Established follower base of 66,572
- + 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 @DrBronner reveals an growing Twitter presence with 66,572 followers. The account demonstrates a conversation-first approach, averaging 17.4 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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