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Download Automotive Services – Lifecycle Definition, Segmentation and Marketing Optimization CLIENT CASE
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CLIENT CASE Automotive Services – Lifecycle Definition, Segmentation and Marketing Optimization 35 CORPORATE DRIVE, SUITE 100, BURLINGTON, MA 01803 T 781 494 9989 | F 781 494 9766 WWW.IKNOWTION.COM PAGE 2 Lifecycle Definition, Segmentation and Marketing Optimization Background With the myriad of choices presented to consumers in today’s automotive market, domestic manufacturers must meet or beat the competition on a number of fronts, including price, quality, and product design, to name a few. These competitive pressures have made it increasingly important for marketers to create compelling ways to drive traffic to the dealers and persuade consumers to choose their product. Vehicle discounts in the form of cash-back incentives have been one way in which automotive manufacturers try to influence consumer purchase decisions or brand consideration. Programs are developed to meet certain objectives, such as sales volume for a particular line of vehicles, or improved gross margin. For this automotive company, incentives were used as a standard mechanism to drive sales, although the incentives were developed without much variation or customization, proven to be costly and inefficient. Therefore it became apparent to our client that they needed to improve upon their “one size fits all” approach. Client Objective As our client was entering an era of change, with a critical shift in their business strategy, pressure was greater than ever to improve profitability, and internal groups were being challenged to “do more with less.” Senior management recognized that a new level of marketing sophistication could help the business achieve some very challenging goals however they didn’t have the knowledge or insight about their customers they needed to accomplish their goals. In order to change from a product-focused to a customer-focused marketing organization our client knew they needed to better understand their customers’ needs and preferences, as well as their behaviors over their ownership lifecycle. Our Solution iKnowtion determined that the best way for our client to achieve a more effective and efficient method of marketing was to embrace a customer-centric lifecycle marketing approach. This involved developing a sophisticated set of analytic tools which included three major components: customer lifecycle, segmentation schema, and an offer optimization engine. The lifecycle would determine where the customer is in the vehicle purchase cycle, while the segmentation would identify unique groups of customers with varying characteristics and profit-driving behaviors. The optimization engine brought the two together with predictive models to send targeted offers to specific customer segments. Lifecycle It was important to understand where a customer was in the purchase cycle. A customer who had recently purchased a vehicle was treated very differently from one who was actively shopping for a replacement vehicle, for example. PAGE 3 Lifecycle Definition, Segmentation and Marketing Optimization In order to determine the appropriate lifecycle stages, it was critical to reach consensus from the marketing and executive teams on the following questions: • What are the business objectives that the lifecycle should help achieve? • What is the role and use of the lifecycle in the context of a broader segment development framework? • What is the desired “go to market” approach? • How can learnings from customer behaviors drive the lifecycle definitions? The final lifecycle solution involved a number of discrete stages, each with its own set of marketing objectives. Today, the lifecycle helps determine the focus of marketing communications, be it relationship building or aggressive selling. It is a tool that helps: manage customers throughout the relationship, determine the right communication mix (frequency, channel, message, etc.), and prioritize marketing investments in order to maximize profit. Segmentation Our philosophy on segmentation development is that it must be focused and objective-driven in order to be successful. To that end, objectives were clearly established up-front with respect to business and profitability goals that the segmentation should help achieve. After careful consideration of a number of potential segmentation approaches, we determined that the most impactful solution was a behavioral segmentation that created segments with very strong differences in profit driving behaviors. Since the business was focused on improving profitability, isolating behaviors that influence profit and determining which levers should be pulled for each segment was a particularly effective solution that helped turn business economics in the right direction. Optimization Engine Before we began our partnership with our client, they planned their marketing campaigns in a manual, ad-hoc fashion. There was limited capability to run multiple “what-if” scenarios, and the same incentive was offered to everyone. With the help of our segmentation, we were able to take a scientific approach toward determining optimal offer levels. To fill in the gaps on promotion response, together with our client’s marketing team we developed an experimental design to determine price elasticity from a wide range of offer levels. By leveraging that data, we were able to build an integrated system of probabilistic models that evaluated and optimized the impacts of assorted offers. Our system works like this: the marketer inputs a number of program related constraints, such as a total incentive budget or number of mailings. Then, program goals such as sales volume or profitability are added. Our system runs through all possible combinations of segment and offer until it arrives at the best solution that meets program goals within given budgetary and other constraints. PAGE 4 Lifecycle Definition, Segmentation and Marketing Optimization The Bottom Line Our client has now been operating within the lifecycle marketing framework for many years, and has employed our optimization system for every direct marketing campaign, with great success. While the marketing team appreciates the practicality of a data-driven approach to offer assignments, company executives value the system most for its accurate forecasting ability – with a high level of confidence in the ability of the programs to deliver on promised results. Campaigns continue to deliver profitable sales and typically generate a lift over control populations, ranging from 10% - 60%. In addition, the insight we provide continues to help our client in a number of ways, including prioritizing their investments in customers with the greatest potential, tailoring marketing strategies by segment, and optimizing incentive budgets.