The CURE TM Platform

Conversion, Up-sell, Retention & Engagement Platform

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The CURE TM platform purpose built for all your growth needs.

Identify the cohorts of users most likely to be responsive


State of the art ML pipeline

Extensible ML pipeline that allows easy ingest of growth related data sets, feature engineering, model selection and ensembling.


Causal Inference

Causal inference processing framework for explainability of correlated activities. Shows how parameters impact predictions.


Adjustable Cohort Buildling

Users can be classified into being ideal for high, medium or low touch mitigation activity to match your go-to-market strategy.


Continuous Learning System

Designed to ingest user responses to mitigation campaign activity and continoulsy learn. The system improves the quality of prediction results without manual intervention.

Types of Data Required

The six data sets that impact growth


Customer Data

Data about the customer both demographic and firmographic


Product Usage Data

As the user engages with the application user interaction data becomes much more relevant


Transaction Data

User payment transaction data


Third Party Data

We receive data from numerous data vendors and are constantly evaluating new sources to improve coverage.


Marketing & Support Data

Any marketing that has been done to the users and customer support tickets that have been raised.


Mitigation Activity

Customer interaction data from mitigation campaigns

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Learn how SaaS and Subscription e-commerce companies
significantly scale revenue