BarkBox
Monthly themed collection of toys and treats to thrill your dog! From the crazy dog people at @bark #BarkBoxDay
297,099
Followers
2,833
Following
139,333
Tweets
9.9
Avg Engagement
516
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @barkbox'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:2011-11-23
- Verification:No
- Location:🐶❤️
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:9.1
- Avg Retweets per Tweet:0.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsBarkbox maintains a steady level of engagement with an average of 1,463 likes and 128 retweets per tweet. The account's content is well-received and encourages interaction from followers.
9.1
Avg Likes/Tweet
0.8
Avg Retweets/Tweet
29,502
Total Likes
2,632
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
1
75th Percentile
8,215
Top Tweet
0.03
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
4.3%
Original
95.4%
Replies
0.1%
Retweets
0.2%
Quotes
0.0%
Threads
1.4%
With Media
11.5%
With Links
0.2%
With #Tags
92.8%
With @Mentions
35.7%
With Emojis
91
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
21.99
Reply/Original Ratio
1.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 3,250 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 primary audience is dog owners who enjoy humor and product recommendations. The content also resonates with people who appreciate relatable and funny situations involving pets and daily life.
Average
Audience Quality
25.5%
Suspicion Index
30.4%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.3%
Empty Bio
38.1%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
52.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.0%
No URL
27.4%
<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.
64,101,702
Total Potential Reach
15
Median Follower Reach
132
75th Percentile Reach
5.9%
>1K followers
0.9%
>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).
44.1%
Creators
22,059 accounts
17.7%
Consumers
8,867 accounts
38.1%
Dormant
19,074 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):
534
Verified Followers
0.53% of total
7,664
Protected Accounts
7.59% of total
6 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 | 14,102,318 | Wrestler | Wrestling, Motivation, Self-promotion |
| @tyleroakley | 5,191,559 | Influencer | pop-culture, podcasting, vlogging |
| @NYSE | 1,691,626 | Finance | Finance, Investing, Opportunities |
| @TPAIN | 1,350,450 | Musician | Gaming, Music, Sponsorships |
| @ATT | 905,490 | Telecommunications | Technology, Connectivity, Social Impact |
| @ZachBoychuk | 829,416 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @PadmaLakshmi | 808,208 | TV Host | Feminist, Mother, Immigrant |
| @NOH8Campaign | 801,534 | Activism | equality, bullying, discrimination |
| @LuvKittensDaily | 739,393 | Social Media Manager | Cats, Reposting, Advertising |
| @JoannaAngel | 714,852 | Director | lemons, director, author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,226
Followers With Bio
46,773
Followers Without Bio
53.69%
% With Bio
46.31%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed13,148
Combined Engagement
12,165
Total Likes
983
Total Retweets
2,630
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Y'ALL! LOOK AT THIS TINY BEAN 😭 https://t.co/qXpH5uzajG
When the landlord says no dogs allowed... https://t.co/A3scb3UNXJ
When u go up the car after school with ur friend asking mom if they can stay over https://t.co/hcepsJ4XLz
PLEASE STOP DOING FIREWORKS THEY ARE VERY LOUD AND VERY SCARY https://t.co/zVYT4xhiLf
Me every single time my dog does literally anything https://t.co/1Uwq4ID8Fm
Key Insights & Takeaways
The account uses humor and relatable scenarios to connect with its audience. It blends product promotion with entertainment to keep followers engaged. Top tweets often feature emotional or funny moments that resonate with dog lovers.
Strengths
- + Established follower base of 297,099
- + 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 @barkbox reveals an growing Twitter presence with 297,099 followers. The account demonstrates a conversation-first approach, averaging 9.9 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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