Data Description: A major retailer has secured data on purchase paths of its new and returning customers. Marketing channel performance is computed and indicated for the “last click” and “attributed” model within the data set. Both the order allocation and actual revenue allocated are provided for both attribution models. The client is interested in understanding more about effectiveness of each marketing channel and how it could utilize attribution data to inform marketing investment decisions. Purpose: Understand how to utilize attribution data to interpret how each marketing channel supports the conversion funnel and how to subsequently make marketing investment decisions. Specific Excel Procedures Used: Pivot tables, Lookup Tables, If commands, etc. How much revenue was generated by the Paid Search marketing channel in a Last Click vs. Attributed model? a. Please explain the importance of viewing this program in an Attributed compared to a Last Click model. 2. What is the count of Introducers, Influencers and Closers for the “Organic Search” marketing channel? a. Please describe the relative role of “Organic Search” within the conversion funnel. 3. What is the Mean, Median and Mode of the customer purchase latency? a. What is the most common type of purchase path? b. Why is calculating purchase latency important for marketers (i.e., how can it be used)? 4.Using the marketing investment sheet provided within the Excel workbook, how would you recommend the client invest an additional $5,000? Please explain your answer. 5. Bonus: Using the marketing investment array provided within the Excel workbook, how would you recommend that the client reallocate the marketing channel investments if budget was to remain the same going forward?