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Lead Scoring

Having many potential customers interested in your products or services is a good problem to have.
Unfortunately, it can be costly and time consuming to identify which potential leads are most likely to convert to paying customers.
Automatically extract predictive signals from a lead’s browsing history on your website, the marketing content they download, and engagement with free trials.
This application uses machine learning instead of rigid-rule based systems to increase the number of qualified leads sent to sales.

GET APP Feature Labs makes it easy to connect to your data and deploy

How it Works

This application is ready to be deployed to provide value right away.

To get started, you just need to map your data to the required inputs. From there, Feature Labs’ data science automation will take care of the rest. The application will automatically

Extract historical examples to learn from
Identify predictive signal using Deep Feature Synthesis
Select and optimize a machine learning model for deployment

This application is not a black box. After the initial integration is made, it is simple for a developer to add additional data sources, tweaking the prediction problem, and deeply inspect how each step in the process works.

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