ROIVENUE Resources
  • Welcome to Roivenue
  • 🚀Roivenue Implementation
  • ❓FAQ
  • 📈Roivenue Training
    • Core Concepts
      • AI Data Driven Attribution
      • Click-based vs. Impression-based Touchpoints
    • Roivenue Features
      • Introduction
      • Model Comparison
      • Custom Dimensions
      • Configurable Dashboards
      • Performance Analysis
      • Filter Panel
      • Bookmarks
      • Dimension Breakdown
      • Budget Optimizer
      • Targets
      • Other Expenses
      • Measures
      • Users Management
    • Data Exports
      • Exports Overview
      • Export to a Google Sheet
      • Export to Azure Blob Storage
      • Export to Google Looker Studio
    • Roivenue for Chrome
    • Playbook
      • How to Identify Best Performing Channels
      • Evaluating Campaign Performance Over Time
    • Roivenue Help Center
  • 💻How To
    • Transaction Data Implementation
    • UTM Parameters
    • Sharing Acesses
    • Sharing GA4 Data through BigQuery
    • Roivenue Measurement Implementation
      • Implementation through GTM
        • Main Implementation
        • Tracking Through Own Subdomain
        • Custom Pageviews Tracking
        • Conversion tracking
      • Implementation without GTM
      • Impression Tracking
      • Implementation validation
  • 🔗Connectors
    • Connectors Overview
      • Advanced Editor
      • JSON Structure Description
    • Google Ads Customization
      • Googlue Ads - Supported Columns
    • Meta Ads Customization
      • Meta - Supported Columns
    • Special Authorization Procees
      • Árukereső
      • Compari
      • Heureka
      • Shoptet
      • Sklik
  • 📖Glossary
    • Marketing and Financial Glossary
      • Delivery Ratio
      • Gross Profit
      • Gross Margin
      • Deliveries
      • Margin Return on Marketing Investment (mROMI)
      • Cost Per Click (CPC)
      • Impressions
      • Marketing Investment Ratio (MIR)
      • Marketing Profit
      • Return on Marketing Investment (ROMI)
      • Cost Per Impression (CPI)
      • Clicks
      • Conversion Rate
      • Cost Per Thousand Impressions (CPT)
      • Cost of Goods Sold
      • Cost Per New Customer Acquisition (CPA)
      • Visits
      • Click-Through Rate (CTR)
      • Average Order Value (AOV)
      • Sales Revenue
      • Return on Investment (ROI)
Powered by GitBook
On this page
  • Step 1: Decide Which Metric or Dimension to Add
  • Step 2: Create the Parameter in the Connector Advanced Editor
  • Step 3: Define the Metric

Was this helpful?

  1. Connectors

Google Ads Customization

The advanced editor enables you to track most of the available metrics that Google Ads provides. Follow this short tutorial and unlock more growth for your business.

PreviousJSON Structure DescriptionNextGooglue Ads - Supported Columns

Last updated 1 year ago

Was this helpful?

Note: It is advised to go through of the connector structure before reading this tutorial for better understanding of the customisation process.

You can follow almost every parameter from Google Ads platform, but you need to follow one rule to make it work:

  • Values in the query need to follow Google API documentation. You can find most of the supported

Now, let's get to adjusting the template.

Step 1: Decide Which Metric or Dimension to Add

Browse and find the column you would like to export. Let's say you are interested in tracking Average Cost per Click. The API call to download the metric is parameter AverageCpc.

Step 2: Create the Parameter in the Connector Advanced Editor

Add the AverageCpc.

Note: Don't forget to add a comma to separate it from the metric in the list before it.

Note #2: Watch out. JSON and its parameters are case-sensitive.

Step 3: Define the Metric

The last step is to add the parameter Time on Page to the dataset as a metric. It is very important as to call a parameter without a definition assigned to it, can lead to an error. To do this, add the new metric to the "transform list".

The Code defines the name of the column

The Source parameter is referring to the source parameter above the transform parameter. JSON will go and check if there is the same source (in this instance "AverageCpc") and if it is, it will populate the column with that data.

After that, you are ready to save the adjustment and test it in the preview. The results in your Excel sheet from your newly customised template should look like this:

Note: If you are not sure what to do, you can contact your Roivenue Support. We will be happy to help you.

Go to your connector and enable the . Then find the fields section in the query.

🔗
Advanced Editor
this walkthrough
columns here.
this list of metrics
You should see a new column in a Data Preview