How to set up custom columns in Google Ads

Step 2: Setup Conversion Booster columns

Step 3: Conversion Booster additional columns

Step 4: Conversion Booster experimental columns

Google Ads allows you to monitor the performance of campaigns with data from secondary conversion actions.

During the first stages of data collection after implementing ProfitMetrics, this is an excellent method to learn your setup from a gross profit and POAS point of view.

Step 1: How to get started

Log in to https://ads.google.com and make sure you are in the correct account.
Go to Campaigns > Columns > Modify columns
Click "+ Custom Column"
Create the following custom columns

PM Conversions

Data Format: Number

Formula (Text):

All_conversions.conversion_action("PM Gross Profit - Browser", "PM Gross Profit - Booster")

PM Revenue

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - Browser", "PM Revenue - Booster")

PM ROAS

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - Browser", "PM Revenue - Booster") / Cost

PM Gross Profit

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - Browser", "PM Gross Profit - Booster")

PM Gross Profit After Ad Spend

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - Browser", "PM Gross Profit - Booster") - Cost

PM POAS

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - Browser", "PM Gross Profit - Booster") / Cost

PM Gross Profit Margin

Data Format: Percentage (%)

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - Browser", "PM Gross Profit - Booster") / All_conversion_value.conversion_action("PM Revenue - Browser", "PM Revenue - Booster")

Conversion Booster Additional Columns

PM Conversions server-side only

Data Format: Number

Formula (Text):

All_conversions.conversion_action("PM Gross Profit - All customers")

PM Revenue server-side only

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - All customers")

PM Revenue server-side only

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - All customers")

PM ROAS server-side only

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - All customers") / Cost

PM Gross Profit server-side only

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - All customers")

PM Gross Profit after ad spend server-side only

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - All customers") - Cost

PM POAS server-side only

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - All customers") / Cost

PM Gross Profit margin server-side only

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - All customers") / All_conversion_value.conversion_action("PM Revenue - All customers")

New customers

PM Conversions new customers

Data Format: Number

Formula (Text):

All_conversions.conversion_action("PM Gross Profit - New customers")

PM Revenue new customers

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - New customers")

PM Revenue new customers

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - New customers")

PM ROAS new customers

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - New customers") / Cost

PM Gross Profit new customers

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - New customers")

PM Gross Profit after ad spend new customers

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - New customers") - Cost

PM POAS new customers

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - New customers") / Cost

PM Gross Profit margin new customers

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - New customers") / All_conversion_value.conversion_action("PM Revenue - New customers")

Returning customers

PM Conversions returning customers

Data Format: Number

Formula (Text):

All_conversions.conversion_action("PM Gross Profit - Returning customers")

PM Revenue returning customers

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - Returning customers")

PM Revenue returning customers

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - Returning customers")

PM ROAS returning customers

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Revenue - Returning customers") / Cost

PM Gross Profit returning customers

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - Returning customers")

PM Gross Profit after ad spend returning customers

Data Format: Money

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - Returning customers") - Cost

PM POAS returning customers

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - Returning customers") / Cost

PM Gross Profit margin returning customers

Data Format: Number

Formula (Text):

All_conversion_value.conversion_action("PM Gross Profit - Returning customers") / All_conversion_value.conversion_action("PM Revenue - Returning customers")