Here's just a small sampling of the analytics projects we can provide to small businesses like yours.

 

Predictive analytics

Predictive analytics can be used to add value to your existing data in a variety of ways:

  • analyze your customers' likelihood to respond to a particular marketing campaign or channel 
  • predict the product an existing customer is most likely to take up in the next quarter
  • predict the tenure and lifetime value of a customer
  • predict the risk of a customer not paying

FIND OUT MORE ABOUT SELECTION SCORING - TAG YOUR customer DATABASE TO DETERMINE YOUR BEST PROSPECTS FOR A CAMPAIGN OR THE LIFETIME VALUE OF YOUR customers

 

Customer segmentation

Customer segmentation can be used to understand your different groups of customers and customize marketing materials for each group. We segment customers into groups based on their similarities and present you with easy to understand group profiles. For instance you may have a group of customers who are extremely loyal and buy several products over many years, a group who buys only a few large ticket items, a group who is motivated primarily by clearance sales, and a group who is in danger of churning. Each group can receive different messages from your business in order to get the most value from each customer group.

 

data summaries

Before you're ready for predictive analytics or segmentation, it's best to understand what your customer base currently looks like. We can provide you with summaries on your current customer base from demographic information to purchasing trends. In depth data summaries can examine relationships between two or more factors in your data, such as geographic location and purchases. Data summaries use the data you have about your customers and their purchases along with census data from Statistics New Zealand.

 

POST CAMPAIGN ANALYSIS

Examine how your latest campaign performed by looking at response rates and revenue. We can provide analysis comparing the performance of test and control groups, different packages, different customer segments, and/or geographic locations. All results will be tested for statistical significance and actionable insights given to the organization. Only with consistent campaign analysis can you learn from past campaigns and discern changing patterns in customers' purchasing habits to improve future direct marketing campaigns.