Finding a way to engage players in this high-paced, competitive environment is a major challenge. We help companies personalize promotions and incentives to maximize customer engagement through effective reinvestment.

One-to-one Player Marketing Optimization

Strong worked with a leader in casino gaming to develop and deploy a one-to-one marketing engine for their customers. This multi-channel "next best action" platform streams in data and outputs optimal actions that maximize player engagement — including incentives and personalized communication across email, direct mail, online, in-app, and SMS channels.

Our Expertise

We bring extensive cross-industry expertise to design, build, and deploy custom machine learning solutions.

Artificial Intelligence

Optimize cross-platform campaigns by leveraging artificial intelligence to adapt and respond to your customers. Determine which are your most valuable customers and how to best engage them.

Data Science & Analytics

Improve the customer experience and gain insight into your users by analyzing customer behaviors and understanding their stages within the customer lifecycle.

Machine Learning

Implement bespoke customer segmentation models to personalize marketing and products.

“It was an absolute pleasure working with Strong Analytics; their technical expertise is as deep as it is broad… in the case of complex, unstructured problems, they blazed a trail for us where there was none.”
Charlotte Daniels
Head of Data Science,
“As a growing startup, we found Strong Analytics' expertise to be invaluable in building a comprehensive and scalable data pipeline, warehousing, and analytics strategy.”
Ben Forgan
Founder, Hologram

Designing, Building, and Shipping Machine Learning Solutions Across Industries: Three (Boring) Principles

These aren't the flashy things that you think are essential to your project's success. They don't require deciphering pages of mathematical formulas, and they certainly don't require distributed computation of any kind. Instead, we are going to discuss three boring, but important, principles that have helped us consistently deliver successful ML projects.