Working With Databases Questions to Answer about a Database System • What functions the marketing database is expected to perform? • What is the initial and continuing investment cost? • How long it would take to install and to complete a set of baseline capabilities? • What would be required, and of whom to recover and profit from the initial investment? Key Issues • One size does not fit all. • “off-the-shelf” marketing database systems do not work. • Possible reasons: – Marketing systems are dynamic – Marketing is largely creative – Based on moving targets of opportunity Cost Justifying the Investment • Costs easy to calculate accurately. • Profits/returns from implementing a marketing system is not directly observable. • Marketing database systems affect the bottom line through marketing programs developed based on them. • Effects of the database systems depends on the efficiency of the marketing programs. • Effects of the marketing programs may take years to realize. Cost Justifying the Investment • Possible return estimation methods: – Published results of other companies. – What-if scenarios: • Find how much of acquisition, retention etc. is required to recover the cost. • Do a cost-benefit analysis based on how attainable the values in the previous step are. Learning to Live With Imperfect Data • Data is not either “good” or “bad”. • Marketing database system users need to understand that • Error in data are possible due to entry errors, processing errors, limited sources etc. • If the errors are within acceptable limits it is OK. • Good co ordination and interaction is required between IT managers and marketing managers. Learning to Live With Imperfect Data • Marketing database systems are developed because a company now has new marketing objectives. • New objectives require restructuring of the department. • Personnel may need training, or new personnel with different skills may need to be hired. Managing Expectations • Expectations about the benefits of the system needs to be made clear early on. • During the planning process there should be agreement on – Which applications the database is expected to support? – Anticipated costs, schedules, and benefits. Objectives, Processes and Requirements • Marketing objectives and IT processes and requirements can be designed sequentially or simultaneously. • Simultaneous is preferred because • IT personnel can quickly point out if the objectives of the marketing department is cost effective and feasible from a database viewpoint. • Difference arises due to issue regarding flexibility in access versus standardization across all users. Marketing Tools • Marketers should focus on possessing a set of information delivery and usage channels. • Use the channels on a needs-basis. • The common tools marketers need include: • Research/analytic projects and software • Standardized reports • EIS/OLAP • Ad-hoc query tools • Analysis Desktop software • Promotion implementation support software Business Needs and Functional Requirements-Queries • Queries- Ad-hoc questions about the characteristics and behavior of customers or prospects. • Type I- Answered directly and fully using the marketing database system. • What is the age distribution of purchases of Air Jordon? • Type II- More complex, require additional analysis beyond what the database is designed to provide. • How many same-product mailings are required prior to conversion? Business Needs and Functional Requirements-Queries • Campaign Planning – Software that assists in finding customers that qualify for a campaign. – Identifies the criteria for selections. – Provides groups of customers in each segment that is being promoted. – More sophisticated systems automatically • Feed campaign specifications • Update annual marketing plan management system • Allocate random customers to control group. Business Needs and Functional Requirements-Queries • List selections– select a list of names for a promotion and track responses • Event driven promotions– Update process that identifies particular events that trigger promotions • Scoring models– Facilitate the creation of statistical models and the subsequent implementation of model results. Selecting Names based on Model Scores • The database system should – – – – – – Incorporate model equations Execute the equation to evaluate customer scores Store the scores produced by the equation Sort the file in descending sequence by score Dividing the file into a number of equal sized groups Assigning customers to appropriate deciles based on their scores – Providing a facility for selecting names based on the deciles or raw model score Tracking Promotion Results and Profiling • Tracking of promotions is performed to • Evaluate actual, and expected circulation/contact quantities, gross responses, net responses, sales volume etc. • Profiles of responders and non responders • Comparisons of test and control groups • Predicted Vs. actual scoring model performance • Profiles are based on queries Tracking Promotion Results and Profiling • Uses of profiling customers include: – Evaluate scoring model results by customer group – Compare scoring model results across multiple criteria – Evaluate the demographic and lifestyle differences between deciles – Evaluate the characteristics of the responsive and least responsive segment • Used to design creative customized messages based on the differences between groups. Turnaround Time • Information requirements should be ordered by priority. • Turnaround time is the time between when a job is submitted to the database and when the results are obtained. • Marketers cannot have all the information immediately. • Cost of computer hardware needs to be considered in designing database systems Developing a source data strategy • Step 1: Determine value of data for all groups and applications - develop data proforma • Step 2: Evaluate and maximize internal data-gathering resources - what data can you get from customers? - evaluate ways to communicate with your customers Developing a source data strategy • Step 3: Evaluate and maximize external data gathering resources • Step 4: Evaluate and maximize custom data development options - custom surveys - research panels - customer participation promotions - warranty programs - relationship enhancement programs Developing a source data strategy • • Step 5: Confirm the correct mix of source data for database marketing applications - whether to maintain data identified in proforma - what is bottom line impact of maintaining data. - did it allow you to 1. Learn about your customers or market 2. Develop better products 3. Upsell or cross-sell product 4. Develop new customers/ keep customers Step 6: Develop corporate strategy for mkt database