Improving Customer Engagement at VMWare through Analytics

VMware (VMW) is a listed software company with headquarters in Palo Alto, California selling products in the Software Defined Data Center that supports multiple devices, apps, and cloud to create an enterprise-ready cloud infrastructure. The company exclusively caters to business customers, that is, in the B2B environment. The company is characterized by 100% digital supply chain which implies that all products are downloadable from the website (www.vmware.com). The company also promotes these products online. Varied individuals across companies worldwide visit the site to familiarize themselves with the products and their features before making a decisive purchase. Along with the overview and use of the product, there are various customer-interaction triggers or ''digital assets'' that are shown to the VMW audience. These include triggers such as hands-on-learning, seminar/webinar registration, downloads, etc. Kiran R, the Director of the Data Science & Analytics team at VMW wants to know the optimal order of digital actions to be pushed towards customers to engage them effectively. Kiran's team has a rich source of online and offline available to model user's response to each of these digital assets. Kiran realized that the data is highly imbalanced and hence should be handled carefully. They wish to come up with a multinomial classification model for this purpose. Kiran decided that the model should fulfil the following objectives: 1. Determine the right order of digital assets to display to an individual e-mail id. 2. Since the website would like to target groups of e-mail ids, come up with a set of segment rules to identify top individuals for a digital asset and to target them with personalization on the website. 3. Have substantiated marketing and sales implications.

• Organizational learning
• Digital marketing
• Information systems
• Statistical analysis
• Customer relationship management