IS 5320 – Hrishabh Kulkarni

Hrishabh Kulkarni – IS 5320

Tag: Summary

  • Summary Post – H7

    HW7 Summary

    Time Log – Visits to Classmates’ Sites

    Date: February 18, 2026 From: 6:10pm To: 6:55pm
    Date: February 18, 2026 From: 7:45pm To: 8:30pm
    Date: February 20, 2026 From: 5:30pm To: 6:20pm
    Date: February 20, 2026 From: 10:00am To: 11:15am
    Date: February 20, 2026 From: 11:15am To: 11:35am

    Essay I: Summary of Activities and New Content

    This week I created two new blog posts focused on the latest and most talked about trends in artificial intelligence for 2026. The first post explores Physical AI, which is about how artificial intelligence is now being combined with robotics to create machines that can sense, think, and act in the real world. The second post covers DeepSeek and the open source AI movement, explaining how free AI models are disrupting the technology industry and giving developers around the world access to powerful AI tools without expensive subscriptions. Both posts include properly sourced free images, two relevant external links each, and are organized under the correct categories and tags for better site navigation. I also updated the general menu for visitors and the HW7 submenu for grading purposes, and ensured that commenting is enabled on all new posts.

    New Content Links This Week:

    Essay II: Summary of GA4 Event Setup

    This week I set up Google Tag Manager on my WordPress site by installing the GTM container code snippet in the header and body of my web pages using the WP Insert Headers and Footers plugin. After successfully linking Tag Manager to my Google Analytics 4 property using the GA4 Configuration tag with my G- Measurement ID, I created a custom GA4 Event tag to track when visitors navigate to a specific page on my site. I configured the event trigger using a Page View condition where the Page URL contains the path of one of my new posts, so any time a user lands on that page, a custom event fires and gets recorded in GA4. I then used the Preview mode in Google Tag Manager to verify that the tag was firing correctly before publishing the container. Within a few hours, the custom event started appearing in the Realtime report section of GA4 under “Event count by Event name,” confirming the setup was working as intended.

    Essay III: Best Use Case for Custom Events in GA4

    One of the most practical and widely used examples of custom events in GA4 is tracking how users engage with specific content pages, which is especially useful for blogs and editorial websites like ours. For example, a website can create a custom event called “article_read” that fires only when a visitor scrolls past 75% of a blog post, indicating they actually read the content rather than just landing on the page and leaving. This kind of event gives website owners much more meaningful data than a simple page view because it measures genuine engagement instead of just traffic. By combining this custom event with parameters like the post title and category, the site owner can identify which topics keep readers most engaged and use that information to guide future content decisions. This use case directly applies to our course website because tracking which AI posts hold readers’ attention the longest can help us create better and more relevant content each week.

  • Summary Post – HW 6

    HW6 Summary

    Time Log – Visits to Classmates’ Sites

    Ankit Date: February 14, 2026 From: 9:00am To: 9:15am
    Aakash Date: February 14, 2026 From: 9:30am To: 9:45am
    Nicole Date: February 14, 2026 From: 9:45am To: 10:05am
    Sanjay Date: February 15, 2026 From: 12:15pm To: 12:25pm
    Alekhya Date: February 15, 2026 From: 12:50pm To: 01:00pm


    Essay I: Summary of Activities and New Content

    This week I focused on creating quality content about emerging artificial intelligence trends for 2026. I published two detailed posts that explore important AI developments that are gaining attention in the technology community. The first post discusses Agentic AI, which covers autonomous AI agents and how they represent a major shift from traditional chatbots to intelligent systems that can plan and execute tasks independently. The second post focuses on Google’s NotebookLM, an AI-powered research tool that has become popular for its unique ability to convert documents into podcast-style audio discussions. Both posts include properly cited images from free sources, relevant external links to authoritative sites, and internal navigation links. I also organized all my content using appropriate categories and tags to improve site navigation and search engine optimization. Additionally, I managed my menu structure by creating links under both the general menu for visitors and the HW6 submenu for assignment tracking purposes.

    New Content Links:


    Essay II: Summary of GA4 Exploration

    I created a custom Exploration report in Google Analytics 4 to better understand how visitors interact with my website content. Using the free form exploration template, I analyzed key metrics including page views, average engagement time, and user behavior flow across different posts. The exploration focuses on tracking which content types generate the most interest and how users navigate between pages. I configured dimensions for page title and page path, while setting up metrics for engaged sessions and engagement rate. This custom report allows me to see which posts are performing well and where visitors spend the most time. The visualization clearly shows patterns in user behavior that are not immediately visible in the standard reports. I will continue monitoring this exploration weekly to identify trends and make data-driven decisions about future content creation.


    Essay III: New Insights Discovered from Site Analytics

    Through consistent monitoring of Google Analytics 4 over the past week, I have started noticing patterns that were not visible to me before. I discovered that visitors spend significantly different amounts of time on posts depending on the topic complexity and visual elements included. Posts with clear headings and images retain visitors longer than text-heavy content without structure. I also observed that most of my traffic comes during evening hours between 7pm and 10pm, which suggests my target audience browses content after work or school hours. Another interesting finding is that visitors who leave comments typically view multiple pages in a single session, indicating higher engagement levels. The bounce rate varies considerably between different post categories, with technical AI content showing lower bounce rates compared to general blog posts. These insights are helping me understand what content resonates with my audience and when to publish new posts for maximum visibility. Moving forward, I plan to optimize my posting schedule and content structure based on these analytics observations.


    Assignment Completion Notes:

    • ✅ Created 2 new posts with images and proper citations
    • ✅ Added 2 links per post (general menu + HW6 submenu)
    • ✅ Enabled commenting on all new posts
    • ✅ Managed categories and tags for content organization
    • ✅ Created custom Exploration in GA4
    • ✅ Updated menu structure for both general audience and grading purposes
    • ✅ Visited and commented on classmates’ sites (logged above)