Is your business stagnating? Are your marketing dollars not really giving the expected results? Is your marketing not aware which channels are drawing in the most customers? Then, this is the right time for you to implement mutli-touch attribution modeling.
Customer Lifetime Value (CLV) is a system of metrics used to determine how valuable a customer is to a business over the course of their relationship. CLV can be captured by three major metrics, each of which is vital to creating a value profile.
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.
Direct mail marketing is any physical correspondence that you mail to your clients in hopes of getting them to patronize your business. Many businesses have moved from outbound marketing to inbound marketing as the inbound approach dominates the market. But even in the digital age, many businesses are re-evaluating their direct mail marketing efforts. So the question is - does direct marketing still work today? Download our white paper for the answer. You will be surprised.
Analyzing data in order to find patterns and apply these findings to business goals is the most general definition of data analytics. In the past few years, the flow of data into enterprises has grown exponentially, making it difficult to analyze data using traditional statistical methods. Data analytics can now overcome this hurdle by incorporating machine learning, an aspect of artificial intelligence. By building efficient algorithms, machine learning automates the process of data analysis, revealing hidden patterns and insights.
Quick Service Restaurant industry to grow profits? Using restaurant data analytics, you can analyze every bit of data related to your business and convert them into actionable insights that can help with everything from menu design to staff training.