Automatically create audiences from Leadlovers with the Google Customer Match integration

Leadlovers is a platform that offers various tools for the automation of digital marketing. If you are looking to become scalable in the digital environment, Leadlovers is the program for you.

Leadlovers is the ideal software to attract new leads and turn them into customers through email marketing sequences, personalized pages and more.

Thanks to Leadlovers, you will find all the features you need to start a digital marketing strategy without spending more than you need to attract more and more customers to your business.

Google Customer Match (GCM) allows advertisers to get closer to customers in the moments that matter. With Customer Match, you can build specific groups of customers who then form the basis of a Remarketing Audience List. Google Customer Match is a powerful tool to create segments or groups of users which you think may behave differently from others. Once a group of users is created, the emails are hashed for anonymity and then uploaded into Google AdWords.

Because this tool can provide an important feature: Google Customer Match offers is the ability to process email addresses and match your database of Google account owners. Clearly, customers with Gmail addresses are likely to be easily matched, but even if the address is not Gmail, you can be connected to a Google account and then matched correctly. Besides, Google Customer Match recognizes that the user is in the audience and can act accordingly, based on the advertiser's instructions. With Google Customer Match, you can target customers who have purchased in the past but haven't returned to your site or bought for a while.

Google Customer Match allows you to target consumers who are already customers, and help expand your services by showing them content for supplementary or complementary products. If you have a group of consumers who are your top buyers, most profitable, and most loyal, Google Customer Match is a perfect way to create an audience of customers and look for others with the same characteristics from browsing behavior, keyword search behavior, or other contextual clues.