Customer Data Platforms

Google Ads Integration with CDP

Read our article if you want to learn more about the benefits that go hand in hand with Google Ads integration with CDP:
#CDP #googleads #adwords #digitalmarketing #MinervaVisuals #google

You haven’t heard about CDPs yet? But you heard about Google Ads, right?

Read our article if you want to learn more about the benefits that go hand in hand with Google Ads integration with CDP.


Google Ads + CDP

Google Ads (formerly Google AdWords) is a program for online advertising. This service allows its users to create ad campaigns. The aim of campaigns is to reach audiences and promote your business, drive traffic and sales, raise brand awareness, and achieve any other marketing goal.

Integrating CDP with ad platforms (such as Google Ads) provides you with invaluable data.

What are the Benefits of CDP Integration?

You can use a CDP (Customer Data Platform) in many ways.

Customer Segmentation and Personalization

Customer segmentation is the practice when a company divides its customers into different groups according to their similarities. These groups (or segments) are based on customers’ specific characteristics (behavior, demography, geography, lifestyle, and other characteristics).

Thanks to the process of segmentation CDP can deliver a personalized experience for each group of customers.

Omnichannel Automation

With omnichannel marketing automation, customers receive personalized information through their lifecycle. They will receive timely content to their preferred channel based on where they are in the customer journey. This ensures an enjoyable user experience for each user and improves the chance of turning a user into a customer. It’s also a good way for keeping loyal customers.

Google Ads Retargeting 

By ads retargeting you remind your customers of your products/services after they visited your website and left it without buying. With data from CDP, businesses have a chance to show highly relevant targeted ads to these potential customers.

Predictive Scoring

Predictive scoring is a technique that analyzes every behavior pattern a customer shows when interacting with your brand. An AI-powered algorithm compares this predictive data with other customers and decides how likely a given customer is to engage, purchase, churn, visit your website, etc.

Improve Email Deliverability

Thanks to this feature you are able to determine the optimal time for sending emails to customers. An AI algorithm finds out an ideal distribution time according to users’ email opening habits. This radically helps with increasing email open rates.

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