@python_programming_tutorial
Python Programming Tutorial
Learn Pyhton Admin @sumaiyya_jahagirdar
@python_programming_tutorial Profile Analysis Summary
Based on the last 12 posts
When we look at how python_programming_tutorial's audience interacts with their content, we see an engagement rate of 0.46% β that's about 61 likes and 1 comments per post on average. For accounts in the 10K-100K follower range, the typical rate is around 2.5%, so there's some room to grow here β but every audience is different.
Looking at content mix, about 50% of recent posts are videos and 50% are photos. Interestingly, photo content tends to spark 3.6x more interaction than videos β worth noting for anyone studying this account's strategy.
On the posting side, new content shows up pretty much every day β a highly consistent rhythm. Captions tend to be concise, averaging around 108 characters.
Key Metrics
13.7K
Followers
45
Following
72
Total Posts
0.45%
Engagement Rate
61
Avg Likes
1
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
13,705 followers
0.46% engagement rate
72 posts, 1 avg comments
304.6:1 follower ratio
Building credibility
Authority Score is an estimated metric based on 12 recent posts and public profile data. It reflects potential influence and engagement quality.
Industry Benchmark
737
Total Likes
15
Total Comments
Engagement Rate
Your engagement rate is 82% below the Micro (10K-100K) average. Consider experimenting with content formats, posting times, or engagement strategies.
Avg. Likes per Post
Your average likes are 97% below typical Micro (10K-100K) accounts. Focus on visual quality and trending topics.
Avg. Comments per Post
Your comments are 98% 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
0.7
Posts per day
5
Posts per week
Monday
Most active day
Posts by Weekday
Top Performing Content
Current situation of IT Image Courtesy @sumaiyya_jahagirdar #meme #ai #jobseeker #softwaredevelopme...
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There is a mistake in this post. See if you can find. Click the link in the bio for free python tu...
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Python lists Click the link jn bio for python tutorial Post by: @sumaiyya_jahagirdar
View on InstagramAnalyzed 12 posts. Top content receives 205 likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Photos outperform videos by 71 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">22.2</span>%
Likes Trend
-21.1%
Before: 69 avg
After: 54 avg
Comments Trend
-63.6%
Before: 2 avg
After: 1 avg
Total Engagement
-22.2%
Before: 71 avg
After: 55 avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 108 characters. Medium captions (101-500 chars) perform best with 68 avg engagements.
Hashtag Performance
With Hashtags
9
posts
Without Hashtags
3
posts
Most Used Hashtags
Average 3.6 hashtags per post. Posts without hashtags perform 25 better on average.
Growth Indicators
Account Classification
Small InfluencerWith 13.7K followers, this account falls in the Small category (10K-50K). Typical engagement for this tier: 3-5%
Following/Followers
0.003
ExcellentEngagement Rate
0.46%
Below averageTotal Followers
13.7K
Following 45- β’ Very influential - follows far fewer than followers
- β’ Engagement rate is below the 3-5% benchmark for small accounts
- β’ Average of 61 likes and 1 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 neutral & informative with elements of calm & mindful.
Beauty & Skincare
Beauty tips and skincare routines
Photography & Art
Focus on visual storytelling and artistic content
Lifestyle & Fashion
Content about lifestyle, fashion, and personal style
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 Γ 3
Audience Summary
This established account shows low engagement with primarily English content. Average post reaches an estimated 184 accounts.
Best Time to Post
Best performing time: Sunday 4pm
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 @python_programming_tutorial's recent content
@python_programming_tutorial's engagement rate of 0.46% is low compared to similar accounts. This indicates a low level of audience interaction and content effectiveness.
Content strategy is 50% focused on photos, which appears to be the strongest performing format for this profile.
Posting consistency is high with an average interval of 1 days between posts. high frequency typically leads to better audience retention.
Best performing photo generated 3.3x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a minimal approach with an average of 108 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.