Waffle House
Serving Good Food Fast® since 1955
128,404
Followers
4,770
Following
63,086
Tweets
30.8
Avg Engagement
754
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WaffleHouse'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: Macro Influencer (100K+)
- Account Age:2009-03-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,203
- Avg Likes per Tweet:27.1
- Avg Retweets per Tweet:3.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,203 tweetsThe account receives a significant number of likes and retweets, indicating strong audience interaction. It uses humor and relatable content to drive engagement and maintain a positive online presence.
27.1
Avg Likes/Tweet
3.7
Avg Retweets/Tweet
86,741
Total Likes
11,996
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
1
75th Percentile
28,957
Top Tweet
0.24
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
2.5%
Original
97.2%
Replies
0.1%
Retweets
0.2%
Quotes
0.0%
Threads
0.1%
With Media
22.0%
With Links
0.4%
With #Tags
97.1%
With @Mentions
15.8%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
38.42
Reply/Original Ratio
2.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
98.7%
Weekday Posts
1.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,203 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 3 retweets (0% 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 3,203 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 followersThe audience primarily consists of food lovers and casual social media users interested in humor and brand interactions. They are likely aged 18-45 and interested in fast food and entertainment.
Good
Audience Quality
18.8%
Suspicion Index
18.0%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.9%
Empty Bio
11.6%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
40.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.6%
No URL
7.2%
<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.
88,011,319
Total Potential Reach
92
Median Follower Reach
314
75th Percentile Reach
8.6%
>1K followers
1.1%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
74.3%
Creators
37,171 accounts
14.1%
Consumers
7,054 accounts
11.6%
Dormant
5,775 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):
1,163
Verified Followers
1.15% of total
14,955
Protected Accounts
14.81% of total
9 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 |
|---|---|---|---|
| @MTV | 17,674,030 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,101,563 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BigSean | 14,035,718 | Rapper | Music, Detroit, Out Now |
| @introvertsmemes | 6,192,320 | Student | Memes, College, Comedy |
| @kevinjonas | 5,123,116 | Musician | Family, Music, Guitar |
| @lilyallen | 5,109,309 | Singer | Music, Activism, Business |
| @USATODAY | 4,965,837 | News outlet | News, Nation, Hand |
| @FifthHarmony | 4,483,021 | Singers | Music, Girl group, Harmony |
| @DezBryant | 3,495,704 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @Normani | 3,386,222 | Singer | Music, Dance, Fashion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
71,349
Followers With Bio
29,646
Followers Without Bio
70.65%
% With Bio
29.35%
% 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 3,203 analyzed42,984
Combined Engagement
37,620
Total Likes
5,364
Total Retweets
8,597
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Waffle Houses— USA: 1,972 Netherlands: 0 #FIFAWorldCup
Exhale negativity. Inhale hashbrowns.
Santa said your cookies didn’t cut it this year https://t.co/o7y120ie1b
New Year, New Me. Still ordering the All-Star Special tho.
Have a feeling that we’re gonna get really busy today.
Key Insights & Takeaways
The account uses humor and relatable content to engage its audience It leverages trending topics and hashtags to increase visibility It focuses on brand promotion while maintaining a friendly and approachable tone
Strengths
- + Established follower base of 128,404
- + 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 @WaffleHouse reveals an growing Twitter presence with 128,404 followers. The account demonstrates a conversation-first approach, averaging 30.8 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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