Mastering Product Experience and Recommendations with Business Analyst

by Emily John Digital Marketing Service Provider

According to a recent report, 7 out of 10 business analyst teams are leveraging big data and analytics to transform their product experience. Through data generation and analytics, Business Analytics teams help product development teams to improve features and optimize marketing costs with better results.

business analyst

Here are some tips to master your business analyst course project for product recommendation and experience management.

Customers Buy Products that Makes them Feel Special

Customer experience is the key to B2B software buying and a large part in that buying process is driven by the way clients are being treated. Every customer may not have the necessary information about the product and the vendor selling these. Also, the pricing information, features and the competitiveness of these vendors could be further analyzed. All these combine to form a holistic customer experience.

That said, business analysts help product innovation teams and sales reps pitch a good product in a more friendly and contextual manner to customers.

Predictive Intelligence and AI Algorithms

AI and Machine Learning algorithms are a key to managing customer experience for product experience management.

Top Business analysts work with tons of market research and data on customer experience models. These data points are used to build a formidable predictive intelligence model that are directed at customers to provide them with best offers, discounts on products, emails and personalized SMS at various points of interaction during their buying.

Content, Sales Book, and Voice Communications

To understand how business analysts work for sales and customer acquisition, leading online courses provide abundant data on Marketing, Sales and Customer Success case studies. These can help you as a business analyst to work extensively with designing most interactive and contextual content. These content pieces (e-book, whitepapers, case studies), and sales book information are created using a massive volume of carefully churned and analyzed data -- such as, mobile data, e-commerce, customer data, TV advertising and audience data, CRM, and social media monitoring.

Creating Unique Product Experience Based on Historical Data

These are also used to create a unique customer profile for product experience and recommendation based on the customer’s Purchase history, Product preferences, and direct feedback shared via various channels of communication. These experiences are also useful in understanding how competitors are building their own products. The algorithm employs set processes by which customer data is automatically refined into accurate recommendations. The system can then automatically deliver the correct solutions to individual clients.

Most product-based companies miss out on the critical aspect of delivering analytics driven Product Experience and Recommendations to the customers. That’s why more and more companies are hiring professionals certified from Product Recommendation online business analyst course.