Personalization pays: How Episerver Commerce delivers real ROI
In this article, I will give an overview of how Episerver Commerce can provide financial institutions a quantifiable edge when it comes to conversion.
As an EMVP (Episerver Most Valuable Professional), I’ve worked with many clients to reimagine their customer journey using all parts of the Episerver platform. Of them all, it is Episerver’s Commerce solution that piques marketers' interest without fail.
Episerver Commerce is an experience-driven solution that helps financial services organizations seamlessly combine content and product information to automatically personalize journeys using artificial intelligence. This holistic approach translates to increased orders, average order values, and mobile revenue. In fact, Episerver Commerce delivers a three-year ROI of 443 percent and pays for itself in six months. The line is stick straight: Invest in customer experience technology and you’ll see results.
Unlike other platforms that charge you to engage large numbers of customers, Episerver Commerce is built to grow with your business. Its dynamic elasticity and load balancing means it can accommodate the ebb and flow of website visitors and marketing activity.
By unifying commerce, content and personalization, Episerver Commerce empowers marketers to develop differentiated buying experiences that build trust, prove value and drive sales. Episerver Commerce also simplifies logistics. All your marketing assets, from catalogs and orders to customer data and payment information, can live in one place and be deployed seamlessly across region and device.
Solutions like Episerver Commerce smartly keep customer experience front and center. Earlier this year, we released NECXT, an industry-informed report about the challenges fintech companies face as they plan for and invest in a digital-first future. Of the report’s four main takeaways, Episerver Commerce solves for three: delivering on the promise of personalization, planning for the rise of artificial intelligence and machine learning, and leveraging customer data to meet business goals.