MammothMountain
Delivering the inside skinny on everything from weather conditions to secret stashes and line-less lift lines. #MammothStories
53,549
Followers
1,088
Following
7,541
Tweets
47.7
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MammothMountain'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:2008-12-18
- Verification:No
- Location:Mammoth Lakes, CA
Data Summary
- Tweets Analyzed:3,188
- Avg Likes per Tweet:27.2
- Avg Retweets per Tweet:20.5
- Followers Analyzed:9,996
Engagement Analysis
Based on 3,188 tweetsThe account maintains consistent engagement with an average of 786 likes and 321 retweets per tweet. Its content is well-received, with a mix of informative and entertaining posts driving interaction.
27.2
Avg Likes/Tweet
20.5
Avg Retweets/Tweet
86,824
Total Likes
65,281
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
3
Median Retweets
32
75th Percentile
21,860
Top Tweet
0.89
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
56.0%
Original
22.8%
Replies
18.8%
Retweets
2.4%
Quotes
0.0%
Threads
7.2%
With Media
71.4%
With Links
43.8%
With #Tags
63.1%
With @Mentions
3.0%
With Emojis
109
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.41
Reply/Original Ratio
0.13
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.0%
Weekday Posts
16.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,188 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 600 retweets (19% 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 3,188 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 9,996 followersThe primary audience includes skiers, snowboarders, and tourists interested in Mammoth Mountain's conditions. It also attracts followers who enjoy behind-the-scenes and local culture content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.3%
No URL
100.0%
<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.
12,929,336
Total Potential Reach
27
Median Follower Reach
126
75th Percentile Reach
4.7%
>1K followers
0.7%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,996 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):
0
Verified Followers
0.0% of total
1,492
Protected Accounts
14.92% 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 |
|---|---|---|---|
| @paulwesley | 4,111,210 | Actor | acting, directing, sustainability |
| @DarrenCriss | 1,767,050 | Actor | Music, Acting, Activism |
| @LAKings | 1,157,331 | Sports Team | Hockey, Sports, Team spirit |
| @NOH8Campaign | 799,362 | Activism | equality, bullying, discrimination |
| @JulesJordan | 459,785 | Director/Producer | Adult Entertainment, Filmmaking, Awards |
| @EvanKirstel | 350,184 | Tech Influencer | Tech, B2B, Social media |
| @kroq | 175,464 | Radio Host | Music, Audacy, App |
| @mrstudshit | 137,858 | Pornographer | Porn, Creator, Art |
| @YETICoolers | 130,696 | Cooler Manufacturer | Coolers, Bags, Tough |
| @mundoyfinanzas | 127,827 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,866
Followers With Bio
5,134
Followers Without Bio
48.66%
% With Bio
51.34%
% 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 3,188 analyzed27,637
Combined Engagement
3,465
Total Likes
24,172
Total Retweets
5,527
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @chloekimsnow: I hate crying but I'll give myself a pass for this one. Thank you everyone for the love! Stoked to bring home the gold https://t.co/vxApf1lxbI
Woolly hanging in LA with pop star @iambeckyg no big deal. #mammothbeanie #mammothstories http://t.co/lkettBTv22
Here's to hoping this isn't your car. Storm total: 89-132" https://t.co/Re3spBlx0e
15 feet in 6 days...AND IT'S STILL DUMPING! High winds forecast for today - wind & weather holds in effect. https://t.co/1b8622vQ9r
RT @iambeckyg: https://t.co/2NOtV2jqal
Key Insights & Takeaways
The account frequently shares real-time weather and snowfall updates, which are highly relevant to its audience. It uses hashtags like #MammothStories to build a community and encourage user interaction. The inclusion of personal experiences, such as meeting pop stars, adds a unique and relatable angle to the content.
Strengths
- + Established follower base of 53,549
- + 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 @MammothMountain reveals an growing Twitter presence with 53,549 followers. The account demonstrates a content-creator strategy, averaging 47.7 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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