Product Propensity

Combine customers’ online behavior with historic purchase data to determine exactly the right product and customer pairing.

Predict what your customers will buy, before even they know it

There’s usually no way around it – to increase your share of wallet, you need each customer to buy more of what you’ve got to sell. For starters, this means having the right products in stock or in your product portfolio. But it also means being able to predict which products customers and prospects are most likely to buy, so you can promote exactly the right product to each person.

Data science makes product propensity modeling possible, by combining customers’ online behavior with historic purchase data to determine exactly the right product and customer pairing. This will all lead to more effective product recommendations and other promotional strategies.

Stronger product recommendation

Promoted products are more relevant and interesting when they’re developed based on rich data and cutting-edge analytics. Move beyond pairing products by intuition or user logic.

Increase conversion and basket size

Make customers more likely to purchase by showing them products they’re interested in. They’ll also add more to the cart before checking out.

Improve customer experience

The more relevant each promoted product, the more these recommendations seem like a service, not a sales tactic.

Better strategic planning

Understand the customer-product propensity matrix and factor these insights into your go-to-market strategies.

Find out how ML can transform your business

We apply our expertise to help you identify the use cases you should tackle in your organization. The outcome is an impact-feasibility map that you can use with or without us.

Related Resources. Take a Look!

Get started with your product propensity project today!