Optimizing the ebb and flow of retail buying patterns is a complex problem. Too complex, in fact, to allow for overly simplified bidding strategies based on the day of the week - or worse - the whims of anecdotal recollections from the guy who managed the account two years ago. Jeff shares the data driven system he created at Local.com embedding a day-of-the-month bidding strategy. He adjusted bidding based on pay days, retail buying patterns, and more. Jeff has since applied these methods to a variety of retail and ecommerce clients with similar results. Learn about his process and methodology via case studies.
30th September to 4th October 2012