https://github.com/oguzgn/fully-automated-performance-marketing-dashboard
This project integrates data from multiple ad platforms with Google Analytics to track marketing campaigns. It uses a structured naming system and UTM tags. Data is visualized in Looker Studio dashboards to analyze campaign performance and ad spend.
https://github.com/oguzgn/fully-automated-performance-marketing-dashboard
bigquery data-analysis data-engineering data-modeling marketing-analytics marketing-automation marketing-data-science marketingdata sql
Last synced: 7 months ago
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This project integrates data from multiple ad platforms with Google Analytics to track marketing campaigns. It uses a structured naming system and UTM tags. Data is visualized in Looker Studio dashboards to analyze campaign performance and ad spend.
- Host: GitHub
- URL: https://github.com/oguzgn/fully-automated-performance-marketing-dashboard
- Owner: oguzgn
- License: apache-2.0
- Created: 2024-11-28T13:35:46.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-11-30T11:01:01.000Z (10 months ago)
- Last Synced: 2025-01-29T11:33:38.715Z (8 months ago)
- Topics: bigquery, data-analysis, data-engineering, data-modeling, marketing-analytics, marketing-automation, marketing-data-science, marketingdata, sql
- Homepage:
- Size: 16.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Fully Automated Performance Marketing Dashboard
# Campaign Tracking and Analysis System
Building a successful marketing tracking system starts with creating a **systematic and detailed campaign naming structure**. This structure is critical for ensuring accuracy and ease in the analysis process.
---
## **Campaign Naming Structure**
A well-structured campaign name should include the following components:
- **Campaign Objective:** The goal of the campaign.
- **Target Region:** Geographical targeting.
- **Audience:** The audience targeted by the campaign.
- **Language:** The language of the campaign.
- **Funnel Stage:** The stage of the user journey being addressed.
- **Campaign Content:** The core message of the campaign.
This structure serves as a foundation for conducting detailed analyses on datasets such as **`marketing-db-final-table.sql`**, enabling in-depth performance evaluation.
---
## **UTM Configuration and Source Tracking**
When setting up campaigns, it’s essential to create accurate UTM structures. This ensures we can effectively track the sources and campaigns driving users to our site.
UTM tags allow us to:
1. Identify the source and campaign of user visits.
2. Combine this data with tools like **Google Analytics** to analyze user behavior.
---
## **Google Analytics and Goal Setting**
With **Google Analytics**, we can monitor user behavior on our site. By defining specific goals, we can measure key events, such as:
- **Sign-Up Completion:** Tracking the number of users who complete the registration process.
- **Source Performance:** Using UTM tags to determine which sources and campaigns perform better.
---
## **Collecting Data from Multiple Platforms**
We run campaigns across various ad platforms, such as **Meta Ads**, **Google Ads**, **Bing Ads**, and **LinkedIn Ads**. Each platform tracks data like ad spend, clicks, and impressions.
- **Google Analytics Integration:** Integrates seamlessly with Google Ads to pull cost, click, and impression data directly.
- **Other Platforms:** For non-Google platforms, use **REST APIs** or tools like **Supermetrics** to fetch data regularly.
Check out my repository [**meta-ads-to-gsheets-data-pipeline**](https://github.com/oguzgn/meta-ads-to-gsheets-data-pipeline) to learn how to fetch daily campaign data from Meta Ads for free.
---
## **Final Table and Dashboarding**
Campaign names act as **unique IDs**, enabling us to:
1. Match data from advertising platforms with Google Analytics campaign data.
2. Determine metrics such as how much was spent on a campaign and how many events it triggered.
### **End Result**
A **final table** with daily ad spend and performance metrics for each platform and campaign.
This table can then be visualized in **Looker Studio**, creating dashboards for quick and effective analysis.
---
🚀 **Start tracking and analyzing campaigns today with this robust system!**