Jeremy Moser
Founder & CEO @userp_io: SEO growth firm for SaaS. 50+ team and growing. @forbes 30 Under 30. Investing in some companies I like.
88,731
Followers
706
Following
14,498
Tweets
32.2
Avg Engagement
1,652
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jmoserr'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:2017-09-05
- Verification:Yes
- Location:Nashville, Tennessee
Data Summary
- Tweets Analyzed:596
- Avg Likes per Tweet:29.1
- Avg Retweets per Tweet:3.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 596 tweetsjmoserr's tweets are well-received, with high average likes and retweets, indicating strong audience interaction. He frequently offers exclusive content through direct messages in exchange for engagement.
29.1
Avg Likes/Tweet
3.1
Avg Retweets/Tweet
17,333
Total Likes
1,874
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
6
75th Percentile
4,632
Top Tweet
0.36
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
10.2%
Original
88.6%
Replies
1.0%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
15.6%
With Links
5.5%
With #Tags
82.2%
With @Mentions
23.5%
With Emojis
104
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.66
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.0%
Weekday Posts
24.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 596 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 6 retweets (1% 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 596 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 50,000 followersHis audience primarily consists of SaaS founders, marketers, and entrepreneurs interested in SEO and growth strategies. They are likely looking for actionable insights and tools to scale their businesses.
Good
Audience Quality
17.6%
Suspicion Index
17.6%
Low-Quality %
83
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.2%
Empty Bio
12.2%
<10 Tweets
13.6%
Mass Following (>2K)
0.0%
New (<90 days)
40.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
72.6%
No URL
7.1%
<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.
63,684,196
Total Potential Reach
83
Median Follower Reach
296
75th Percentile Reach
9.2%
>1K followers
1.2%
>10K followers
0.3%
>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).
68.1%
Creators
34,061 accounts
19.6%
Consumers
9,817 accounts
12.2%
Dormant
6,122 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):
2,618
Verified Followers
2.89% of total
8,548
Protected Accounts
9.45% 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 | 14,105,732 | Wrestler | Wrestling, Motivation, Self-promotion |
| @dhruv_rathee | 1,582,277 | YouTuber | Activism, Travel, Vegetarian |
| @TwitterBusiness | 1,352,743 | - | - |
| @weirddalle | 1,349,891 | - | - |
| @SinghLions | 1,335,644 | Restaurateur | Food, Travel, Influencer |
| @luculucuaaan | 1,127,484 | - | - |
| @NOH8Campaign | 802,074 | Activism | equality, bullying, discrimination |
| @iownjd | 779,516 | Lawyer | learn, inspire, engage |
| @Jason | 708,784 | Investor | startups, investing, podcasting |
| @tailopez | 660,010 | Entrepreneur | Business, Entrepreneurship, Mentorship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,711
Followers With Bio
22,750
Followers Without Bio
74.85%
% With Bio
25.15%
% 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 596 analyzed10,997
Combined Engagement
9,822
Total Likes
1,175
Total Retweets
2,199
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
I increased monday,com’s traffic by 1,570% via SEO. I compiled 4hrs of video showing the exact strategy. Like + Reply with 👋 and I’ll DM it to you for free, right now. (I’ve lead SEO for 100+ SaaS startups)
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10 marketing resources/websites you won't believe are free (bookmark these now):
I compiled 6 guides and 4+ hours of video on how I scale SEO for startups. Like + Reply with 👋 I’ll DM it to you for free, right now. (I’ve led SEO for 150+ SaaS & Ecom startups)
Key Insights & Takeaways
He shares real-world success stories, such as increasing monday.com's traffic by 1,570% via SEO. He provides practical tools and resources, like a list of underrated SEO tools and a landing page copywriting checklist. He emphasizes the value of copywriting as a critical marketing skill and offers it as a free resource.
Strengths
- + Established follower base of 88,731
- + 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 @jmoserr reveals an growing Twitter presence with 88,731 followers. The account demonstrates a conversation-first approach, averaging 32.2 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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