greenrush.com
A leading #cannabis destination. We connect customers with our trusted local dispensary and delivery service partners. 21+ to follow.
78,904
Followers
17,958
Following
1,336
Tweets
42.0
Avg Engagement
301
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JoinGreenRush'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:2014-06-29
- Verification:No
- Location:California, USA
Data Summary
- Tweets Analyzed:1,327
- Avg Likes per Tweet:7.1
- Avg Retweets per Tweet:34.8
- Followers Analyzed:9,998
Engagement Analysis
Based on 1,327 tweetsThe account averages 261 likes and 121 retweets per tweet, indicating moderate engagement. It leverages humor and hashtags to encourage user interaction and sharing.
7.1
Avg Likes/Tweet
34.8
Avg Retweets/Tweet
9,486
Total Likes
46,193
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
8
75th Percentile
30,418
Top Tweet
0.53
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
50.6%
Original
44.1%
Replies
4.9%
Retweets
0.4%
Quotes
0.0%
Threads
0.3%
With Media
64.3%
With Links
43.3%
With #Tags
62.1%
With @Mentions
29.4%
With Emojis
138
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.87
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.5%
Weekday Posts
16.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,327 tweetsContent Type Distribution
Content Breakdown
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 65 retweets (5% 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 1,327 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 9,998 followersThe primary audience is adults aged 21 and over interested in cannabis products and services. They are likely looking for convenience, local partnerships, and entertainment through social media.
Good
Audience Quality
15.8%
Suspicion Index
11.8%
Low-Quality %
143
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
18.3%
Empty Bio
12.9%
<10 Tweets
24.0%
Mass Following (>2K)
0.0%
New (<90 days)
23.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
67.0%
No URL
5.3%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
29,723,787
Total Potential Reach
143
Median Follower Reach
580
75th Percentile Reach
16.9%
>1K followers
2.7%
>10K followers
0.9%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
62.1%
Creators
6,206 accounts
25.1%
Consumers
2,505 accounts
12.9%
Dormant
1,287 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):
98
Verified Followers
0.98% of total
603
Protected Accounts
6.03% of total
7 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 |
|---|---|---|---|
| @Banks | 2,797,618 | Gamer | gaming, internet, music |
| @JDaIey | 1,246,243 | - | - |
| @KalaniBallFree | 1,238,618 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @FrankKhalidUK | 1,017,199 | Businessman | Chelsea FC, Philanthropy, Business |
| @CSuiteConfess | 991,056 | Executive Coach | #MeToo, Executives, Navigating |
| @EstudoReligiao | 791,938 | - | - |
| @CollChris | 669,127 | Traveler | Travel, Asia, Adventure |
| @SarahShevon | 648,146 | Patient | medical, fundraising, sharing |
| @El_Ciudadano | 582,119 | Journalist | Prensa, Libertaria, Denuncia |
| @vipregan | 512,163 | Influencer | crazy, live stream, maybe |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,174
Followers With Bio
1,826
Followers Without Bio
81.74%
% With Bio
18.26%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,327 analyzed36,316
Combined Engagement
0
Total Likes
36,316
Total Retweets
7,263
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @wizkhalifa: We all need weed sometimes.
RT @AP: BREAKING: Nevada becomes the fifth state in the U.S. with stores selling marijuana for recreational purposes.
RT @tommychong: Congratulations to Nevada for legalizing marijuana! Now what happens in Vegas....will be forgotten!
RT @SFGiants: Tomorrow, Barry Bonds is officially enshrined on our Wall of Fame. RT to win an autographed @BarryBonds baseball! #BondsWOF | #SFGiants https://t.co/dK9g0ZQXfh
RT @APWestRegion: Recreational marijuana sales exceed Nevada store owners' expectations after thousands swarm to buy legal pot. Story: https://t.co/2ZLIGQqKgk https://t.co/HwDJiOyCgC
Key Insights & Takeaways
The account uses humor and pop culture references to connect with its audience. It promotes cannabis products and services through direct calls to action. It emphasizes local partnerships and convenience for its followers.
Strengths
- + Established follower base of 78,904
- + 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 @JoinGreenRush reveals an growing Twitter presence with 78,904 followers. The account demonstrates a content-creator strategy, averaging 42.0 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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