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Flywheel
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Flywheel
Google Ads
Acquire customers that look like your best customers with Google Ads
Acquire customers that look like your best customers with Google Ads
Paid advertising
Retail

Acquire customers that look like your best customers with Google Ads

Send your top customer lists to Google Ads, and use the power of Google's data to get your ads in front of customers who look like them.

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Supercharge 
Google Ads
Flywheel
with your customer data.
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How it Works

Goal

Acquire your next best customers using data about your current best customers. Makes sense doesn't it?

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How you do it

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  1. Setup your Data Warehouse as a Source in GrowthLoop
  2. Setup your customers table from Data Warehouse
  3. Activate Google AdWords as a destination
  4. Select customers in the Audience Builder that have spent over $500 and made more than 5 purchasers. Customize this amount to be your top spenders.
  5. Export to Google Ads
  6. Navigate to Google Ads Audience Manager. Your audience will take 24-48 hours to fully populate.
  7. Your audience will continue to load to Google Ads every day with updates.
  8. Create a Similar Audience on Google Ads Audience Manager. This "Similar Audience" contains customers that look like your best customers based on Google's data.
  9. Create a Google Ads campaign and leverage your "Similar Audience" to start acquiring new great customers.
Documentation
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Why implement this use case?

  • By targeting people who resemble existing, loyal customers, you can build a larger pool of similar buyers, bringing more customers to your retail stores and increasing your revenue sources.
  • Google Ads is more cost-effective when it can target a larger audience or use its lookalike algorithm. Selecting criteria that are too specific or simply targeting an uploaded list can drive up the cost per impression and result in higher CAC. 
  • Lookalike campaigns can help you introduce your brand to a new but relevant audience, increasing brand awareness. This is particularly useful in a competitive market like retail, where standing out is crucial.

‍

Goal of this use case

Grow revenue and your customer base by using Google Ads’ tools to acquire customers that resemble your current best customers.

Tools and platforms you need

1

Data Source

Data source, such as a cloud data warehouse like BigQuery, Snowflake, or Redshift.

2

Data Activation

Data activation tool, such as a composable CDP (like GrowthLoop).

3

Ad Platform Destination

Ad platform destination, such as Google Ads, Facebook ads, LinkedIn ads, Bing ads, etc.

Data sources you need

List the data sources needed for this particular use case (such as ticket purchases, memberships, etc.)

Customer profiles

Purchases

How to set up this use case in GrowthLoop

Step 1

Add your data warehouse as a source in GrowthLoop (or your data activation tool).

Step 2

Create your customer table in your data warehouse and ensure that it includes fields for existing customer details and purchase history. .
Learn more about preparing customer data for GrowthLoop.

Step 3

Activate Google Ads as a destination.

Step 4

Create an audience in GrowthLoop. 

Step 5

Apply filters to select your top spenders, for example, customers who have spent more than  $1000 and made more than five purchases.
Note: You can customize this amount to include your top spenders.

Step 6

Export this audience to Google Ads

Step 7

Navigate to Google Ads Audience Manager. Your audience will take 24-48 hours to fully populate.
Your audience will continue to load to Google Ads every day with updates.

Step 8

Create a Similar Audience on Google Ads Audience Manager. This "Similar Audience" contains customers that look like your best customers based on Google's data.

Step 9

Create a Google Ads campaign and leverage your new "Similar Audience" to start acquiring new great customers.

Step 10

Measure success by tracking new customer leads from this campaign.

‍

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