MALTA 13th Jan 2017

NetRefer, a global leader in Performance Marketing, launches PMI (Performance Marketing Intelligence), its new marketing optimisation product.

PMI provides self-service intelligence enabling users to make faster, well-informed decisions based on a 360-degree view of their data. Users are promptly notified of new trends, enabling them to drill-down, compare and take action.

NetRefer’s data scientists built readily available machine learning models together with industry KPIs that enable self-service analytics. All this is packaged into easy-to-use visual dashboards and reports that require no prior knowledge of BI or analytics. PMI also frees its users from expensive data warehouses, BI tools and armies of data scientists.

PMI can smoothly be integrated to any platform and can deliver intelligence from day one.

“We’re delighted to offer our clients with a data-driven marketing optimisation product that can directly and positively affect their bottom line.” says Johan Zammit, Director of Strategic Projects at NetRefer. “We’ve injected years of industry experience in a product that brings the magic out of our clients’ data.”

NetRefer will be showcasing several new products and services at ICE and LAC in February. We invite you to get in touch with our business development team on to book a product demonstration at our stands.

About NetRefer

As the market leader in Unified Performance Marketing software and services, NetRefer adds value in helping companies of all sizes and industries run better and deliver real results. From Affiliate signup to Customer Acquisition and Retention, providing Media Management and Ad Serving supported by Business Intelligence – NetRefer empowers people and organizations to work together more efficiently. This is by using business insight more effectively to save costs whilst enjoying profitable revenue growth and staying ahead of the competition. NetRefer applications and services enable businesses to operate profitably, adapt continuously, and grow sustainably.