Engage Your Best Customers grow sales by making better decisions for your business Know your best customers Identify which products or services are vital check-in Recognize new opportunities and trends Grow sales by rewarding your customersreward scan best customer analytics
THE CHALLENGE Imagina*on & Crea*vity in Data Science • Use our data (~2 yrs of data from ﬁtness gym) • Take it to the next level • Do not repeat what we have already done
EXAMPLE OF TYPES OF ANALYSIS • Segmenta*on of Customers – Determine if there are segments (or groups) of customers who behave similarly or diﬀerent. – What criteria can determine if a customer belongs to a certain segment. For example, is a par*cular customer a fan/evangelist or just a regular customer. • Time-‐series analysis: Analyze paWerns in the data on a weekly v.s. monthly basis • Average Life-‐cycle of client • Life-‐*me Value of a Customer (may need to make some assump*ons on the value of diﬀerent services) • Predic*ve Analysis: Hypothesis tes*ng (or other methods) to determine how a customer might behave based on the ﬁrst few data points.
JUDGING CRITERIA • Clear descrip*on of business ques*on you’re trying to answer for business owner/manager • Descrip*on of solu*on and sta*s*cal methods used to analyze the ques*on • How well do you account for variances in the data • Clearly document and explain any assump*ons. • Presenta*on • Imagina*on & Crea*vity • BONUS: What new data, if made available, could help to answer addi*onal business ques*ons.