Lookalike Audiences

Problem
It’s difficult to accurately target high-value lookalike audiences for campaigns across applications like Facebook, Salesforce, and Doubleclick to acquire new customers.

Solution
Leverage what you know about your existing customers using the advanced segmentation capabilities of a CDP to generate the best possible list of existing customers or users for lookalike modeling.

Step 1 — Get Your Ingredients
First, let’s identify what group you want to use as a model for lookalikes. In the example you can see that we’ve unified three sources of data — web, offline, and mobile data — to identify a customer group with a particular lifetime value, loyalty level, and product ownership.

Step 2 — Build Your Audiences
Build audiences based on the customer attributes that you want to target. In this example, we are creating lookalike lists from our best customers.

Step 3 — Take Action
Now that you have the audiences ready, you can orchestrate this audience data to the many venues where you can use a list to generate lookalikes to expand the scale of your acquisition program.