AmaroRegly / Paid-Campaign-Data

The objective of this project is to analyze the performance of paid campaigns carried out through Facebook Ads. The idea is to give a general overview of the performance of campaigns and ads based on the data we have.

Paid Campaign Data Analisys

Introduction

This data analysis project thoroughly explores the performance of a Facebook Ads advertising campaign. Focusing on crucial metrics like spend, impressions, clicks and total conversions, our analysis aims to deliver insights that optimize resources and maximize impact. We will highlight key metrics such as cost per click (CPC) and cost per acquisition (CPA).

Analysis Objective

to provide strategic insights that guide future decisions, driving the success of digital marketing initiatives. This project highlights the transformation of raw data into actionable insights to achieve meaningful results in online advertising.

About the data

The analyzed data was obtained through the website Kaggle and is structured in 1 table called "KAG_conversion_data" with the following columns:
ad_id
xyz_campaign_id
fb_campaign_id
age
gender
interest
Impressions
Clicks
Spent
Total_Conversion
Approved_Conversion

Power BI Dashboards