As brands across industries continue to adopt deep learning, learn how it is being adapted for the delivery of product recommendations that enhance the customer experience and generate meaningful revenue.
We caught up with Andy Mueller, Director of Digital Analytics at APMEX, about why breaking down silos between data is essential to connecting with consumers on a one-on-one basis and how recommendations can surface relevant products for every type of buyer persona.
Make sense of various eCommerce product recommendation strategies and how to effectively use them to maximize marketing ROI.
Using merchandising rules, marketers can adapt product recommendations strategies to their desired objectives, tapping their expertise to improve consumer experiences.
With collaborative filtering, marketers can tap user data to produce product recommendations tailored to users’ individual affinities and shopping behaviors.
A subset of strategies readily-available and specifically designed to help finance brands improve customer acquisition, conversions, and long-term loyalty.
Instead of taking a revolutionary approach to personalization, financial institutions can start by first dipping their toes in the water.
Real-time personalization is here to stay, and financial institutions must start adopting new strategies at a faster pace to acquire and retain customers.
A guide to effectively deploy product recommendations featuring strategies, best practices, and real-life examples from leading global brands.
Learn how to leverage user affinity data to make more effective personalized recommendations at scale.
With a dynamic structure and a powerful solution at the core, digital marketing optimization stacks can immediately become easily accessible and actionable.
The following 40-step on-page SEO checklist should help you conduct a thorough site audit, making sure your on-page SEO strategy is heading towards success.
