One of the world's leading turbine companies had an enterprise data warehouse but the process of loading the data was taking 12 hours and more. Therefore, Japan and Australia's data was two days behind. For about ten to twelve hours per day, the warehouse was closed. A critical issue was how to reduce data latency and improve data quality.
A leading fitness company in California, USA, wanted to invest in a new form of communication - direct marketing. The company's large customer base made direct mailers prohibitively expensive to send to all of them. The company wanted to use analytics at the same time to market to its most persuadable customers who could not be reached by email. Express Analytics gave it a solution.
A North American industry leader in lighting manufacturing and retailing was finding it difficult to optimize its email and direct mail marketing campaigns. The company needed a Customer Interaction Management (CIM) database that would integrate data from all sources and improve the open and click rates for catalogs and emails. By establishing processes to cleanse, standardize, and enrich the customer data, Express Analytics team created customer segments based on historical transactions and campaign responses. Simply by improving open rates and click rates, the retailer saved about $200K in the first year.
Although this client of ours, a 30-year-old retailer, had millions of customers, its marketing campaigns were not effective. The retailer wanted to target its customers, online and offline, with suitable promotions based on their buying pattern, through their preferred
We were approached by an online retailer who wanted to: 1) Assistance in “winning” the crucial Buy Box on Amazon 2) To figure out whether the company would find it difficult to place an order from a potential buyer once it (the client) lost the Buy Box Here's how we helped the retailer.