Krux Named A DMP Leader in The Forrester Wave™: Data Management Platforms, Q4 2015 Report
Find More of the People You Care Most About
Lookalike modeling involves defining the attributes and behaviors of your most valuable customers and then using these profiles to target matching prospects. Since these new audience segments are similar to your current customers, you'll enjoy a higher likelihood of conversions.
The Krux Lookalikes solution uses self-learning algorithms, which are applied to the richest audience data set in the industry to produce a range of highly-relevant lookalike segments. We start with well-defined “truth sets” that match your targeted segments. Once we identify the common attributes and patterns, we build a lookalike algorithm that continuously refines and updates as your data sets grow.
Krux provides many lookalike results at varying levels of relevance and reach, allowing you to select the right mix to fit your needs.
Access the World's Largest Neutral Truth-Set
Reach lookalikes through a vast and high-quality data set.
Lookalike algorithms learn iteratively as your people data changes and grows.
Choose From a Range of Lookalikes
You're in control when it comes to the right lookalike solution for your specific need.