Jun 21, 2022
In Welcome to the Tech Forum
Advanced digital marketing forces us to go beyond what everyone else Industry Email List is doing and approach it from new angles. One of the ways to stand out in your SEM analysis and performance is to use advanced techniques like regression analysis. Regression is actually a basic form of machine learning (ML) and a relatively simple mathematical application. Industry Email List This type of analysis can help you make better predictions from your data, beyond making educated guesses. Regression might sound scary, but it's not that advanced in the world of math. For anyone who passed math in 10th grade, Industry Email List you've probably worked with the regression formula before. We'll look at using regression in your Google Ads to predict how much conversion you can get by adjusting campaign spend. Building the Industry Email List model and applying it is much easier than you think! What is Regression? A regression model is an algorithm that attempts to best fit the data presented. In essence, it's a line of best fit. It can be linear, like a straight line passing through the data, or nonlinear, like an exponential curve, Which curves upward. By fitting a curve to Industry Email List the data, you can then make predictions to explain the relationship between a dependent variable and one or more independent variables. The graph below shows a simple linear regression between an independent variable “cost” (daily spend on Google Ads) on the x-axis and a dependent variable Industry Email List “conversions” (daily conversion volume on Google Ads) on the y axis. We fitted a linear regression line (blue). We can now say that at $3,000 on the axis, that point on the regression line would correspond to 35 conversions.