Website Analytics |Target Audience

Phase 1.3: Identifying Your Target Audience and Their Pain Points for SankalandTech.com

Welcome to the next important step in our analytics journey We have already talked about why we are building this system and what numbers we will track Now it is time to focus on the most important part the people who visit sankalandtech.com

Understanding who your readers are and what problems they are trying to solve is very important It is like being a good host You want to know your guests so you can make them feel welcome and give them exactly what they need For sankalandtech.com knowing your audience helps us make tutorials even better and more useful


Who Visits SankalandTech.com — Our Target Audience

Let us think about the different types of people who come to the website Each group has its own reason for visiting and each one needs something a little different

  1. Beginner Programmers

    These are people who are just starting to learn how to code They may be looking for simple and clear explanations of topics like why C language or introduction to Python programming They need easy to follow lessons that do not assume any prior knowledge

  2. Students

    These are college or university students who want extra help with their programming courses They are likely looking for clear examples practice problems and simple explanations in C Python or SQL

  3. Job Seekers

    These are people preparing for technical interviews They are searching for SQL interview questions Python interview questions or other content to help them get ready They want quick helpful answers and common questions to practice

  4. Developers or Engineers

    These are professionals already working in tech They come to the site when they need to quickly look up a syntax fix a bug or learn a new concept They prefer short and clear answers that solve their problem fast

  5. Career Changers

    These are people coming from other fields who want to move into tech They are looking for beginner friendly guides and a clear learning path to get started with programming

These are the main groups we want to support Each of them uses the website in a different way By understanding who they are we can make our content more useful and welcoming for everyone


Illustration showing different types of SankalandTech.com users and their common learning challenges

What Problems Are They Trying to Solve Their Pain Points

When someone comes to sankalandtech.com they usually have a problem or question they want answered These are their pain points Understanding these helps us make sure the website is the perfect place for them

  1. I do not understand this concept

    Pain Point They are stuck on a hard coding idea like calloc in C or a complex SQL query

    How analytics helps We can see if visitors spend a lot of time on certain pages but then leave This might mean the explanation needs to be clearer or should have more examples

  2. I need to practice for an interview

    Pain Point They want to do well in a tech interview but do not know what questions to expect or how to answer them

    How analytics helps We track how many people visit interview question pages and if they click to see the answers If many visit but leave quickly it could mean the answers are not clear or they need more practice questions

  3. Where do I start learning this

    Pain Point They are new to topics like Python and feel overwhelmed by all the information They need a simple step by step guide to get started

    How analytics helps We check if new visitors find the beginner pages and if they follow the learning path If they leave early it could mean they got confused or lost

  4. I cannot find the answer quickly

    Pain Point They are looking for a very specific answer like a SQL command and want to find it fast without scrolling through long pages

    How analytics helps We can see if people use the search bar and find what they need We also check if they scroll a lot or leave quickly because they cannot find the answer

  5. Is this content reliable

    Pain Point They want to learn from a source they can trust

    How analytics helps We cannot measure trust directly but if people spend more time on pages and come back often it shows they believe the content is reliable and helpful

By keeping these different user needs and problems in mind we can use analytics not just to collect numbers but to better understand people This helps us make sankalandtech.com more helpful and easier to use for everyone

Now that we know our audience and their needs we are ready to move on to the next phase data collection


Frequently Asked Questions About Our Readers Problems

How do we know what problems visitors have?

We use website analytics to track how visitors behave on the site For example how long they stay on pages where they click and if they leave quickly This helps us guess which topics are hard or which answers are missing

What if many visitors leave a page fast?

This usually means visitors did not find what they wanted or the page was confusing It tells us we need to improve the explanation add examples or make it easier to follow

Can we really understand people just from analytics?

Analytics gives us clues about visitor behavior but it does not tell us everything To fully understand our audience we also listen to feedback and watch how they use the site

How will improving the website based on these pain points help visitors?

It makes the learning experience smoother and more enjoyable Visitors will find answers faster feel less confused and trust the content more

What is the next step after understanding visitor problems?

We start collecting data carefully and set up ways to track key information This will help us measure how well we are solving these problems over time


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Website Analytics Project: Phases and Action Steps

  • Home
  • 🟢 Live App: Web Analytics Simulator
  • Phase 0: Project Setup & Problem Definition
  • 0.1 Define Project Goals & Challenges
  • 0.2 Select Tools, Tech Stack & Data Sources
  • 0.3 Software Requirements & Installation
  • 0.4 Folder Structure & GitHub Repo
  • 0.5 Testing Project Locally
  • Phase 1: Planning for Analytics
  • 1.1 Website Analytics Project Overview
  • 1.2 Define KPIs, Bounce Rate, Engagement
  • 1.3 Identify Target Users & Pain Points
  • Phase 2: Data Collection
  • 2.1 Setup Google Analytics 4 (GA4)
  • 2.2 Export GA4 Data to BigQuery/CSV
  • 2.3 Design SQL Schema for Web Analytics
  • Phase 3: Data Cleaning & Feature Engineering
  • 3.1 Clean Website Data with Python & Pandas
  • 3.2 Create Custom Metrics (Session, Bounce, etc.)
  • Phase 4: Exploratory Data Analysis (EDA)
  • 4.1 Analyze Website Traffic Trends
  • 4.2 Behavior by Device, Source, Location
  • 4.3 Top Pages & High Bounce Pages
  • 4.4 Diagnose Low Traffic & User Drop
  • Phase 5: Business Insights
  • 5.1 Funnel Analysis & Drop-Off Points
  • 5.2 New vs Returning Users
  • 5.3 Time Spent & Scroll Depth
  • Phase 6: SQL for Business
  • 6.1 SQL for Business Insights
  • 6.2 Combine Web Data Using SQL
  • 6.3 Find Problematic Pages Using SQL
  • Phase 7: Machine Learning
  • 7.1 Segment Users with Clustering
  • 7.2 Predict Bounce Rate with ML
  • 7.3 Recommend Pages or Content
  • Phase 8: Dashboards & Visualization
  • 8.1 Dashboard with Streamlit
  • 8.2 Visualize KPIs with Python
  • 8.3 Page-Level Metrics & Drop Heatmaps
  • Phase 9: Final Analytics Story
  • 9.1 Summary Report & Findings
  • Phase 10: Hosting & Portfolio Presentation
  • 10.1 Host Website Project Online
  • 10.2 Add to GitHub with ReadMe
  • 10.3 Pitch Project in Interview
  • Other Topics
  • SQL Interview Questions
  • SQL Case Study: Account Management
  • Python Interview Questions
  • Why C Language

Get in touch

  • tech2dsm@gmail.com

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