Hostess Snacks
Snacks that spark the child-like joy in all of us. #Twinkies #CupCakes #Donettes
111.113
Followers
1.736
Following
30.889
Tweets
12,1
Avg Engagement
726
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Hostess_Snacks'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:2009-04-02
- Verification:No
- Location:U.S.
Data Summary
- Tweets Analyzed:3.200
- Avg Likes per Tweet:10,0
- Avg Retweets per Tweet:2,1
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.200 tweetsThe account maintains a consistent level of engagement with average likes and retweets, indicating a loyal and active follower base. It uses calls-to-action and interactive elements to encourage participation.
10,0
Avg Likes/Tweet
2,1
Avg Retweets/Tweet
32.135
Total Likes
6.634
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
14
75th Percentile
1.041
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
35,2%
Original
64,4%
Replies
0,1%
Retweets
0,2%
Quotes
0,0%
Threads
0,1%
With Media
30,2%
With Links
27,4%
With #Tags
73,8%
With @Mentions
41,2%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,83
Reply/Original Ratio
2,0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92,4%
Weekday Posts
7,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.200 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 4 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 3.200 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 is likely adults who have a nostalgic connection to classic snacks like Twinkies and Donettes. They enjoy playful, fun, and interactive content.
Average
Audience Quality
28,5%
Suspicion Index
25,9%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36,0%
Empty Bio
25,0%
<10 Tweets
18,9%
Mass Following (>2K)
0,0%
New (<90 days)
69,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
85,3%
No URL
15,7%
<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.
21.876.167
Total Potential Reach
29
Median Follower Reach
122
75th Percentile Reach
3,9%
>1K followers
0,6%
>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).
50,9%
Creators
5.093 accounts
24,1%
Consumers
2.405 accounts
25,0%
Dormant
2.502 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):
103
Verified Followers
1.03% of total
1.221
Protected Accounts
12.21% of total
4 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 | 14.093.752 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BurgerKing | 2.033.659 | Fast Food | Fast Food, Flame-Grilled, Established |
| @kio_cyr | 1.143.692 | Influencer | Fashion, Travel, Photography |
| @NOH8Campaign | 799.071 | Activism | equality, bullying, discrimination |
| @Digiday | 190.060 | Media | Digital media, marketing, insights |
| @StacieinAtlanta | 156.306 | Influencer | Beauty, Lifestyle, Foodie |
| @1045TheBeatNY | 146.482 | - | - |
| @RealJtHolmes | 144.619 | Entrepreneur | Fashion, Music, Arizona |
| @iMichaelJones | 114.714 | Gamer | Goku, Gamer, Skateboarding |
| @seankelly25 | 91.612 | Entrepreneur | Sports, Fashion, Entrepreneurship |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.395
Followers With Bio
3.605
Followers Without Bio
63.95%
% With Bio
36.05%
% 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 3.200 analyzed3.902
Combined Engagement
3.156
Total Likes
746
Total Retweets
780
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
NEW FLAVOR ALERT!!! Check back Monday, 6.22, when we will reveal our #NEW #Donettes flavor! Share your NEW FLAVOR GUESS👇 & we’ll let you know if you’re close😉 #CaramelMacchiato #BananaPudding #BlueberryCobbler #FrenchVanilla #LemonBlueberry #GreenTeaMatcha #StrawberryCheeseca
Only the real ones know about these 👀 #Twinkies #PeanutButter #Pickles https://t.co/tyhFxup8qu
ALERT: GOOD NEWS, BAD NEWS POST. First, the bad news... our #HostessSweetennial cross-country tour is over 😭. The good news... we have ONE-HUNDRED of these handsome guys to #giveaway. Make sure to follow us on Facebook, Twitter & Instagram for a chance to win, starting July 1
🚨NEW FLAVOR ALERT!!🚨 Introducing Strawberry🍓 Cheesecake🍰 Donettes® 🤤 Did you guess correctly?! Tag someone you love enough to share our NEW! #Donettes flavor with! 👇 #NewFlavor #NewFlavorAler #FlavorReveal #Reveal #Donut #ILoveDonuts #StrawberryCheesecake #BigReveal #Love https:/
HERE. WE. GO. How many states did the #TwinkieMobile pass through from 4.26 –6.25? 20 people who correctly guess the number of states will randomly be selected to win a @OriginalFunko TKK. If you’re feeling lucky, name the states—you might win an added prize. #HostessSweetennial
Key Insights & Takeaways
The account frequently uses hashtags to increase visibility and reach a broader audience. It emphasizes exclusivity and surprise with new flavor announcements to generate excitement. Interactive elements like flavor guesses and tagging friends help foster community engagement.
Strengths
- + Established follower base of 111.113
- + 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 @Hostess_Snacks reveals an growing Twitter presence with 111.113 followers. The account demonstrates a conversation-first approach, averaging 12,1 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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