Good Sam
Part of the RV community since 1966. Protect. Travel. Connect. #GoodSam
64,079
Followers
889
Following
36,705
Tweets
9.5
Avg Engagement
320
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GoodSam'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:2009-04-14
- Verification:No
- Location:Camping
Data Summary
- Tweets Analyzed:3,214
- Avg Likes per Tweet:4.5
- Avg Retweets per Tweet:5.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,214 tweetsGoodSam's tweets typically receive a moderate number of likes and retweets, indicating a consistent but not overwhelming level of audience interaction. Their content encourages user-generated responses, which helps maintain engagement.
4.5
Avg Likes/Tweet
5.0
Avg Retweets/Tweet
14,457
Total Likes
15,928
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
1
75th Percentile
2,184
Top Tweet
0.15
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
12.8%
Original
86.4%
Replies
0.9%
Retweets
0.0%
Quotes
0.0%
Threads
0.1%
With Media
6.6%
With Links
3.6%
With #Tags
89.1%
With @Mentions
29.2%
With Emojis
44
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.77
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,214 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 28 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 3,214 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 primarily consists of RV enthusiasts and travelers who are interested in lifestyle content and community interaction. They are likely looking for inspiration, connection, and engagement through shared experiences.
Below Average
Audience Quality
42.2%
Suspicion Index
71.3%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
81.2%
Empty Bio
73.1%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
71.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
61.5%
<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.
1,010,756
Total Potential Reach
3
Median Follower Reach
11
75th Percentile Reach
0.7%
>1K followers
0.1%
>10K followers
0.0%
>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).
10.8%
Creators
1,080 accounts
16.1%
Consumers
1,610 accounts
73.1%
Dormant
7,310 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):
64
Verified Followers
0.64% of total
369
Protected Accounts
3.69% of total
1 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 |
|---|---|---|---|
| @Moreno | 428,783 | Influencer | Business, Manager, Serious |
| @travisa850 | 133,317 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @Infantry_bucky | 25,840 | - | - |
| @UNTPrez | 17,604 | - | - |
| @AsnuKitchens | 14,441 | - | - |
| @BrAiNfReEzE69 | 8,431 | - | - |
| @BenHartsock | 8,246 | - | - |
| @daddyday454 | 7,287 | - | - |
| @Crypt0Linus | 6,327 | - | - |
| @BreadFinancial | 5,861 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
1,879
Followers With Bio
8,121
Followers Without Bio
18.79%
% With Bio
81.21%
% 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 3,214 analyzed8,935
Combined Engagement
0
Total Likes
8,935
Total Retweets
1,787
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @marcuslemonis: Win $5,000… I’ll pick one person who Retweets . Must use #CampingWorldBowl https://t.co/RGhV4nHpeW
RT @marcuslemonis: Win $2,000… I’ll pick one person who Retweets . Must use #CampingWorldBowl https://t.co/elNQ3sm0Py
RT @marcuslemonis: Win $3,000 I’ll pick one person who Retweets . Must use #CampingWorldBowl https://t.co/Q3SBlArsZ9
RT @marcuslemonis: Win a @HappierCampers I’ll pick one who Retweets Use #CampingWorldBowl https://t.co/ckTU8Eyfee
RT @marcuslemonis: Win $1,000… I’ll pick one person who Retweets . Must use #CampingWorldBowl https://t.co/UEEudfYKUe
Key Insights & Takeaways
GoodSam's content is highly interactive, often prompting followers to share personal stories or reactions. They focus on relatable scenarios that resonate with their audience's interests in travel and family. Their use of emojis and hashtags enhances engagement and makes their tweets more approachable.
Strengths
- + Established follower base of 64,079
- + 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 @GoodSam reveals an growing Twitter presence with 64,079 followers. The account demonstrates a conversation-first approach, averaging 9.5 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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