Customer data consultancy, Actable, announced the launch of their predictive modeling product, Predictable, an end-to-end suite of predictive models that drive business outcomes for marketers. Predictable integrates directly with a cloud database or CDP for easy implementation and rapid time to value.
Actable, a leading customer data consultancy, announced today the launch of its new product, Predictable . Incubated out of Actable and driven by client demand, Predictable is an end-to-end suite of plug-and-play predictive models designed specifically for marketers. Predictable’s AI models provide intelligence into key business outcomes, such as purchase propensity, customer churn, 2nd purchase, product recommendation and lifetime value.
Live in-market today, and powering predictive outcomes for over 25 brands, Predictable is built to integrate with a composable architecture – directly with marketers’ cloud data warehouse or CDP, enabling rapid time to value with no coding or data sciences expertise required to deploy. Current integrations include Segment, mParticle, Lytics, Google Cloud, Amazon Web Services, and Snowflake.
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“Predictable is a powerful easy button for marketers looking to harness the power of AI to drive business growth”
“Predictable is a powerful easy button for marketers looking to harness the power of AI to drive business growth,” said Matthew Greitzer, Co-Founder and CEO of Actable. “Our suite of predictive models are trained against marketing outcomes, and allow marketers to make data-driven decisions about their customers to drive increased value and retention. Predictable creates better marketing outcomes that produce better results.”
Predictable includes five key models today, built to address key business goals for transaction-oriented marketers, including:
- Propensity – Predicts which prospects are most likely to become customers, allowing marketers to laser-focus their acquisition investment.
- Churn – Predicts which customers are likely to churn, allowing marketers to take proactive measures to retain them.
- Second Purchase – Predicts which customers are likely to make a second purchase, allowing marketers to better optimize retention and loyalty incentives.
- Lifetime Value – Predicts the lifetime value of each customer, allowing marketers to allocate resources more effectively.
- Product Recommendation – Predicts which products are most aligned with one-another, allowing for better personalization and messaging.
Predictable is easy to implement, and leverages an enterprise’s existing tech and data stack. Predictable models are deployable by marketers without any coding or data science background required, and are also customizable, allowing marketers to tailor them to their specific business needs.
“At Predictable, we believe that machine learning should be accessible to everyone, not just data scientists,” said Craig Schinn, COO and Co-Founder of Actable. “Our suite of predictive models is designed to be easy to deploy and easy to integrate, so marketers can start making data-driven decisions right away.”
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