Growth Log

When building a data model, understanding the distinction between Master Entities and Transaction Entities is essential. Let’s explore what these terms mean and why they are crucial for effective data modeling.Real-Life Example of User BehaviorImagine two users engaging with your service:User A applies for an SQL Data Analysis Camp on February 5, 2024.User B applies for a Data Literacy Seminar o..

Have you ever thought about how everyday data, like a credit card receipt, is organized? Receipts include store names, items, totals, and timestamps. Simply dumping this data into one table may seem straightforward but leads to inefficiencies and errors. Database normalization ensures data is stored efficiently and accurately. Let’s explore its basics and benefits.1. What is Database Normalizati..

When designing databases, keys are like tools that help keep things organized and connected. In this guide, we’ll explore five types of keys: Super Key, Candidate Key, Primary Key, Alternative Key, and Foreign Key. Let’s break them down into easy-to-understand pieces.1. Super Key: The Big IdentifierA Super Key is any combination of information that can uniquely identify a record in a table. Some..

A Beginner’s Guide to ERD (Entity-Relationship Diagram) for Data ModelingOrganizing data properly is essential when working with databases. An Entity-Relationship Diagram (ERD) is a powerful tool that visually shows how data is stored and connected. This guide will help you understand what an ERD is and how to use it effectively. 🌟What is an ERD?An ERD is a visual diagram that illustrates how d..

Imagine users discovering your website without any paid ads. Sounds amazing, right? While paid marketing is essential, driving traffic through organic search can save significant costs and bring highly motivated visitors to your site. This is where SEO (Search Engine Optimization) comes into play—a long-term, cost-effective strategy to boost your visibility and credibility.Why SEO MattersLet’s s..

With so many metrics to choose from, how do you measure the success of a marketing campaign? The answer, as with many things in data analysis, is: it depends. To determine the right approach, you need to evaluate the campaign's goals, understand the characteristics of each marketing channel, and recognize the strengths and limitations of the metrics you use.1. Understand Your Campaign GoalsThe k..

Let’s dive into how you can extract key revenue metrics—active users, buyers, conversion rate, total revenue, ARPU, and ARPPU—using Google Analytics 4 (GA4) Free-Form Exploration. This will help you better understand the ups and downs of your revenue and give you the tools to act strategically rather than simply hoping for improvement when the next revenue drop hits.Step 1: Set Up Your Free-Form..

Understanding how revenue is generated and grows is crucial for any business. Metrics like ARPU, ARPPU, and purchase funnels provide insight into user behavior, guiding businesses toward strategies that maximize growth. Let’s explore these concepts in a more approachable way.ARPU: Average Revenue Per UserARPU stands for Average Revenue Per User. It tells us how much revenue, on average, each use..

When it comes to growing a business, not all customers are created equal. Your total purchasers can be divided into two important groups: first-time buyers and repeat buyers. Understanding this breakdown can help you prioritize your strategies—whether that means acquiring new users or improving satisfaction to drive repeat purchases. Let’s dive into the data and learn how to make informed decisi..

Ever wondered how often your users come back to your service? That’s exactly what stickiness measures. It shows how “sticky” your service is—how essential and engaging it is to users. A sticky service keeps users coming back, and that’s the key to building a loyal audience.What is Stickiness? Breaking Down the BasicsStickiness is calculated by comparing daily active users (DAU) to your weekly or..