Hitech Look-alike modeling is a machine learning-based analytical technique that identifies groups of people who display behavioral and demographic characteristics like your best, existing customers. Look-alike modeling would help you identify people who show similar traits.
Unlike many, we follow a classification-based analysis on a set of customer data consisting of both positive and negative and define key characteristics to find prospects who are similar to your ideal customer profile (ICP). This technique helps you to identify potential customers who are most likely to engage with and respond to your outreach messages and activities.
Get in Touch With UsHitech’s Look-Alike Modelling helps you discover new, unique prospects and customers through automated data analysis. Our process involves selecting a set of characteristics or segment definitions, and data from heterogenous sources. Your attribution description and choices provide the inputs for the algorithmic model. When the analytics process runs, it looks for eligible users based on common characteristics to arrive at your target audience.
Get in Touch With UsExpand your customer base by identifying potential customers who exhibit similar behaviors to your existing audience.
The precision of this model’s targeting makes the campaign a possible success.
By leveraging a well-defined audience, you can enhance visibility, engagement, and reach.
Allocate resources more efficiently with efforts on prospects with high conversion.
Aids in lead pipeline, conversion success and achieving a higher business ROI.
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