HotelTonight
Amazing hotel deals for tonight, tomorrow and beyond. Need customer support? Tweet @HotelTonightCX
52,629
Followers
2,298
Following
15,706
Tweets
5.8
Avg Engagement
829
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HotelTonight'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:2009-01-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,185
- Avg Likes per Tweet:1.2
- Avg Retweets per Tweet:4.6
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,185 tweetsThe account has a consistent engagement rate with an average of 112 likes and 26 retweets per tweet. It uses interactive content and promotions to drive engagement.
1.2
Avg Likes/Tweet
4.6
Avg Retweets/Tweet
3,720
Total Likes
14,800
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
2,265
Top Tweet
0.11
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
22.0%
Original
65.6%
Replies
10.5%
Retweets
2.0%
Quotes
0.0%
Threads
0.3%
With Media
29.6%
With Links
9.3%
With #Tags
90.3%
With @Mentions
11.0%
With Emojis
114
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.98
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.8%
Weekday Posts
21.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,185 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 334 retweets (10% 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 3,185 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 travelers looking for last-minute hotel deals and promotions. The audience is also interested in exclusive offers and brand partnerships.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
196
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)
68.5%
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.
31,917,171
Total Potential Reach
196
Median Follower Reach
574
75th Percentile Reach
14.9%
>1K followers
2.1%
>10K followers
0.7%
>50K followers
0.4%
>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
9,998 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
1,656
Protected Accounts
16.56% of total
10 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 |
|---|---|---|---|
| @MatthewEspinosa | 3,698,685 | Actor | Acting, Writing, Podcasting |
| @6BillionPeople | 2,010,560 | - | - |
| @etnow | 1,990,073 | Entertainment | Entertainment, ET, News |
| @NYSE | 1,689,752 | Finance | Finance, Investing, Opportunities |
| @SinghLions | 1,325,875 | Restaurateur | Food, Travel, Influencer |
| @JDaIey | 1,243,857 | Owner | Esports, Gaming, Sponsorship |
| @Brodiesmith21 | 839,035 | Athlete | Disc Golf, Ultimate Frisbee, Golf |
| @ChrisJohnson28 | 819,372 | Athlete | Sports, Gaming, Instagram |
| @Fahrenthold | 799,146 | Reporter | Trump businesses, MSNBC, investigative reporting |
| @larrykim | 724,380 | Entrepreneur | Startups, AdWords, Chatbots |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,347
Followers With Bio
2,653
Followers Without Bio
73.47%
% With Bio
26.53%
% 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 3,185 analyzed10,280
Combined Engagement
0
Total Likes
10,280
Total Retweets
2,056
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @ChelseaFC: GOAL!!! #CHESOU https://t.co/HsapoXG2lp
RT @ChelseaFC: Chelsea 4 Watford 3!!! #CHEWAT https://t.co/zwYSFRQShW
RT @ChelseaFC: GOAL!!! https://t.co/xorvUhuQZg
RT @ChelseaFC: GOAL!!! #CHESOU https://t.co/e8DfSuRhBd
RT @ChelseaFC: GOAL!!! https://t.co/9QdHlHo8GJ
Key Insights & Takeaways
The account frequently collaborates with brands like Chelsea FC to create buzz and drive engagement. Promotional tweets with limited-time offers tend to perform well. Customer support is a key focus, with a dedicated support handle mentioned in the bio.
Strengths
- + Established follower base of 52,629
- + 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 @HotelTonight reveals an growing Twitter presence with 52,629 followers. The account demonstrates a conversation-first approach, averaging 5.8 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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