@patdevogue
팻드보그VIP👑
I m wat I m... Beware.... 🚶🏼♀️🏃🏼♀️팻목🚶🏼♀️🏃🏼♀️ Represented by @flyentertains Twitter,Tiktok @Patdevogue Weibo 排骨莫小玲 Ecom ambassador @ecom_s...
@patdevogue Profile Analysis Summary
Based on the last 12 posts
When we look at how patdevogue's audience interacts with their content, we see an engagement rate of 6.52% — that's about 3.1K likes and 24 comments per post on average. Compared to similar accounts in the 10K-100K follower range (where the average sits around 2.5%), this is 161% higher, which suggests a genuinely engaged community.
Looking at content mix, about 75% of recent posts are videos and 25% are photos. Interestingly, video content tends to spark 19.9x more interaction than photos — worth noting for anyone studying this account's strategy.
On the posting side, new content shows up about every 104 days — a infrequent rhythm. Captions tend to be concise, averaging around 110 characters.
Key Metrics
48K
Followers
627
Following
12
Total Posts
6.52%
Engagement Rate
3.1K
Avg Likes
24
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
48,004 followers
6.52% engagement rate
12 posts, 24 avg comments
76.6:1 follower ratio
Verified account
Authority Score is an estimated metric based on 12 recent posts and public profile data. It reflects potential influence and engagement quality.
Industry Benchmark
37.3K
Total Likes
287
Total Comments
Engagement Rate
Your engagement rate is 161% above the Micro (10K-100K) average. This indicates strong audience connection and content resonance.
Avg. Likes per Post
Your average likes are 55% above the Micro (10K-100K) benchmark. Your content resonates well with your audience.
Avg. Comments per Post
Your comments are 70% below the Micro (10K-100K) average. Try asking questions or creating discussion-worthy content.
Benchmarks are based on industry averages for accounts in similar follower tiers. Individual performance may vary based on niche, content type, and audience demographics.
Publishing Frequency
0.0
Posts per day
0
Posts per week
Saturday
Most active day
Posts by Weekday
Top Performing Content
The Labubu fever, ugly tattoos, Mark Lee, and Pat Mok as our permanent host??
View on Instagram
莫小玲的五官拆开来好看，放在一起就不好看⁉️🤣 新一集【姐妹夜Talk】💬 现已上线！ 🎧 YouTube / Spotify 看完整版 音频合作伙伴｜@citymusicsg #姐妹夜T...
View on InstagramAnalyzed 12 posts. Top content receives 33.5K likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Videos outperform photos by 3.9K avg engagements per post.
Engagement Trend
Overall Trend
DecreasingComparing 6 older posts to 6 recent posts. Overall engagement has decreased by <span class="font-medium text-red-400">96.0</span>%
Likes Trend
-96.2%
Before: 6K avg
After: 230 avg
Comments Trend
-77.4%
Before: 39 avg
After: 9 avg
Total Engagement
-96.0%
Before: 6K avg
After: 239 avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 110 characters. Short captions (1-100 chars) perform best with 5.2K avg engagements.
Hashtag Performance
With Hashtags
6
posts
Without Hashtags
6
posts
Most Used Hashtags
Average 1.8 hashtags per post. Posts without hashtags perform 5.8K better on average.
Growth Indicators
Account Classification
Small InfluencerWith 48K followers, this account falls in the Small category (10K-50K). Typical engagement for this tier: 3-5%
Following/Followers
0.013
ExcellentEngagement Rate
6.52%
Above averageTotal Followers
48K
Following 627- • Very influential - follows far fewer than followers
- • Engagement rate is above the 3-5% benchmark for small accounts
- • Average of 3.1K likes and 24 comments per post
Hashtags & Captions
Top Hashtags
Based on 12 recent posts
Top Caption Words
Common words filtered out for relevance
Content Themes
Content Mood
The overall tone of this profile's content leans towards romantic & emotional with elements of neutral & informative.
Lifestyle & Fashion
Content about lifestyle, fashion, and personal style
Family & Relationships
Content about family and relationships
Food & Cuisine
Food-related content and culinary experiences
Entertainment & Music
Entertainment, music, and nightlife content
Themes and mood are estimated by analyzing keywords in 12 public post captions and hashtags.
Audience Insights
Limited Data Available: Detailed audience demographics (country, age, gender) are only accessible to account owners through Instagram Insights. The data below is estimated from public content analysis.
Content Languages
Detected from 12 post captions
Audience Engagement
Based on likes-to-followers ratio
10K-100K followers
Estimated based on average engagement × 3
Audience Summary
This established account shows very high engagement with primarily Chinese content. Average post reaches an estimated 9.3K accounts.
Best Time to Post
Best performing time: Monday 4am
Posts during this time get highest average engagement
Based on engagement patterns from 12 posts with timestamps.
AI-Powered Analysis Summary
Key insights and performance highlights based on @patdevogue's recent content
@patdevogue's engagement rate of 6.52% is excellent compared to similar accounts. This indicates a excellent level of audience interaction and content effectiveness.
Content strategy is 75% focused on videos, which appears to be the strongest performing format for this profile.
Posting consistency is low with an average interval of 104 days between posts. low frequency typically leads to better audience retention.
Best performing video generated 10.8x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a minimal approach with an average of 110 characters. This minimal style aligns well with audience expectations for this account type.
This analysis is generated from publicly available data and provides estimated insights. Actual performance metrics may vary.
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Important Notice
All insights shown here are estimated using publicly available data. This tool is not affiliated with Instagram or Meta and does not access private information. Analytics are provided for informational purposes only and may not reflect actual account performance.