Sales Analysis and Sales Forecasting

Demand and sales forecasting. Market basket analysis. Sales trend analysis by customer segment (identifying  customer segments with similar sales pattern,  segments with declining sales, segments with sales growth etc.). Short-term and long-term forecasting of product sales. Evaluating effectiveness of promotion campaign, and determining impact of marketing events (coupons, discounts, special promotions, advertisement, etc.) on sales, customer retention, and customer acquisition. Performance measurement.
Discovering drivers of product sales, and quantifying impact of each driver.  Determining why sales differed from plan and how to act in order to increase sales. Cross-selling and up-selling decision support, and in particular, establishing the right offer to the right customer segment in a right time.
Customer scoring (association with each customer an appropriate metric such as likelihood of switching to competitor product, likelihood of early adoption, etc.). Response modeling and forecasting with the usage of objective data, subjective measurements and expert judgment.

Customer Relationship Management

Gaining, sharing, expanding, and utilizing knowledge about customers. Customer profiling, segmentation, and clustering with the usage of demographic, geographic, psychographic and behavioral variables and historical business information. Data enrichment (enriching the current customer database with Census and other public/private data). Improving marketing ROI by targeting specific customer segments with personalized campaigns.
Identification of early adaptors. Customer profitability and customer loyalty. Customer acquisition and retention. Churn modeling/customer defection and customer attrition. Customer satisfaction, identification of unsatisfied customers, and development of the program to improve customer satisfaction.  Personalized marketing and pricing. Targeted marketing and multichannel management. Optimal (the most profitable) allocation of your marketing funds.
What-if scenario analysis. Detecting underserved customers and unprofitable customers and developing program to increase sales. Customer scoring according to a likelihood of defection, likelihood of response, likelihood of a product purchase, etc. Developing lifelong relationships with your most profitable customers and addressing other CRM challenges.

Design and Execution of Specific Campaign

Advertisement and campaign management. Targeted marketing to optimize marketing effectiveness. Customer win-back campaign (recovering customers lost to competitors). Pilot study design (e.g. price test to estimate customer sensitivity to product/service price change). Event monitoring (e.g. when certain pre-defined thresholds and targets are reached in a customer's account or for a customer segment) and event prediction.

Web Analytics

Analysis and predictive modeling of website user behavior (e.g. prediction of user propensity to convert, buy or churn), analysis of website statistics and key performance metrics, measuring content effectiveness, discovering user segments and navigation patterns, customer satisfaction with web experience, uncovering areas of opportunity for your organization websites to more effectively support sales and customer loyalty. Impactful e-mail marketing. IP address geocoding of website visitors to: identify geographic clusters of current and potential customers; examine the efficiency of advertisement as a function of geography; determine locations of future advertising campaigns, etc.