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Predictive Analytics Forward-Looking Data Science Decision Analyst’s Predictive Analytics Team increases the returns on marketing investments by implementing predictive models. A robust toolkit of statistical methods delivers superior models to: Predict Effectiveness of Marketing Campaigns. Predict Sales of New Products. Predict Sales Related to New Advertising. Optimize Marketing-Mix Models. Optimize Media-Mix Spending. Identify New Prospects and Acquire New Customers. Increase Customer Lifetime Value. Optimize Real Estate Site Selection. Predictive Analytics Historically, linear regression models of one sort or another have been the primary methods underlying Predictive Analytics. But the Predictive Analytics Team at Decision Analyst uses an arsenal of techniques: Logistic Regression Hierarchical Bayes Models Machine Learning Big Data Analytics Random Forest Methods Classification and Regression Trees (CART) Support Vector Machine Factor Analysis Supervised Principal Components Net Lift Modeling Marketing-Mix Models Time-Series Cross-Sectional Models Data-Visualization Methods Social-Networking Models R-Language Modeling Techniques Latent Class Cluster Analysis Copyright © 2013 Decision Analyst. All rights reserved. Direct Marketing Optimization Let Decision Analyst’s Predictive Analytics Team help you get the most out of your marketing campaigns. Our experience with directresponse campaigns, combined with our marketing research capabilities, can help optimize campaigns to maximize response, profit, or lifetime value of customers across these media: Digital Media Websites Mobile Devices Direct Mail Email/Text Messaging Direct Response Advertising (Online and Offline) Catalogs (Online and Offline) Data Science For most companies, customer databases are a great potential asset. Decision Analyst uses advanced statistical tools to help clients exploit the strategic potential of customer databases. Data Cleansing and Data Integrity Bad data inflates marketing costs and dilutes the power of analyticsbased decisions. Predictive Analytics begins with making sure the database is as good as possible. We assess the viability of each variable in the database, so modeling efforts can concentrate on the variables with the highest potential to predict. Cleanup and restoration efforts focus on the remaining records. Cross-Validation Every predictive model is validated using proven statistical techniques. Model validation reduces the risk in deploying marketing campaigns. Data Enrichment Applying text analytics to big data delivers new predictor variables. Convergence of big data with scientifically designed, forward-looking survey choice experiments expands the domain of predictive models. Web Analytics Decision Analyst applies cross-validation techniques to improve performance of: Digital Media. Websites. Web Communications. Geoanalytics Consulting Geographic Information Systems (GIS), or geomapping, is a powerful method of analyzing customer and marketing data. Demographic, psychographic, and behavioral data can be overlaid on the same spacial map. Reporting Information is of no value if it cannot be organized and reported promptly and accurately. Decision Analyst uses powerful multilevel reporting software with drill-down capabilities to quickly deliver important information to decision-makers. Drive-Time Radius Map Copyright © 2013 Decision Analyst. All rights reserved. Marketing Research Services Traditional Predictive Analytics often relies totally on historical data; this is like driving a car by looking only in the rearview mirror. This works okay until the road turns. Markets are constantly changing, and marketing research allows us to look out the front windshield and anticipate the curves. Our Predictive Analytics Team knows how to use qualitative research and survey-based data to deliver forwardlooking market information and models. Online Qualitative Research We can analyze subgroups within customer databases to determine motivations, perceptions, and preferences. This can lead to new positionings, new messages, and new methods of attack. Online Quantitative Research Customer segments can be identified and surveyed to develop projectable data for subsets of customers (and all customers) to assist in targeting, messaging, and segmentation analyses. Text Mining of Customer Comments Most text or open-ended comments in customer databases are never fully analyzed. Decision Analyst uses automated and traditional coding systems to reveal the customers’ true messages and report them in an understandable way. Testing Marketing Materials Using its worldwide online panels and research systems, Decision Analyst can test marketing materials for effectiveness (before deployment). Brochures Product Offers Ads Catalogs Promotions Web Design Volumetric Forecasting The sales and profit potential of new marketing programs can be analyzed so that realistic estimates of first-year sales volume related to new programs and offers can be forecast accurately. Innovation Services Decision Analyst’s Innovation Team can generate the ideas that will lead to: New Products. New Positionings. New Advertising Messages. New Promotional Offers. Why Decision Analyst? Decision Analyst is a global research and analytical consulting firm, serving corporate and agency clients in North America, Europe, Latin America, and Asia. The firm has over three decades of experience in helping clients optimize marketing campaigns through forward-looking data science. 604 Avenue H East Arlington, TX 76011-3100, USA 1-817-640-6166 1-800-ANALYSIS www.decisionanalyst.com Copyright © 2013 Decision Analyst. All rights reserved.
