Marketing Engineering for Excel software

Marketing Engineering for Excel provides tools to help address the most common marketing problems Segmentation, Targeting and Positioning (STP); New Product Decision; Sales Forecasting; Advertising and Communication Decisions; Salesforce and Channel Decisions; Pricing; and Sales Promotion Decisions. Users will be able to harness the power of world-class analytics to run quick and simple analyses... all from within Excel.

The software is built as an Excel Add-In to simplify use while increasing flexibility. Data is entered via customizable Excel templates so you know you are entering the right data in the right location. Analysis options allow you to quickly run several different scenarios and built-in data screening will highlight any issues with entered data.

    Simplified Use

    • Access software through familiar Excel interface
    • Tutorials and sample data sets to learn basic software operations
    • Built-in context-sensitive help
    • Automatic cell selection during analysis when using our templates

    Substantial Results

    Many firms have already adapted a Marketing Engineering approach to decision making - with substantial and important results. Adopting an approach such as this used to be quite costly and cumbersome to implement. ME>XL brings powerful tools enabling results such as these - right to your desktop.
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  • System requirements

    • Microsoft Windows XP, Vista, 7, 8, or 10
    • Microsoft Excel 2002(XP), 2003, 2007, 2010, 2013 (Not compatible with Office Starter 2010 or online versions of Office)

    Software Models Included

    Bass Forecasting
    The Bass diffusion model is used to forecast the sales of a new product or service that has no close competitors. Learn More...
    Conjoint
    The Conjoint Analysis model is a procedure for measuring, analyzing, and predicting customers' responses to new products and to new features of existing products. Learn More...
    Customer Choice
    The Customer Choice (Logit) model is an individual-level response model that helps to analyze and explain the choices individual customers make in the market. Learn More
    Customer Lifetime Value
    Customer Lifetime Value (CLV) is a metric of a customer's value to the organization over the entire history of the relationship. Learn More...
    GE/McKinsey Portfolio Matrix
    The GE Portfolio approach evaluates a business on the basis of two composite dimensions: industry attractiveness and business strength. Learn More...
    Positioning / Perceptual Mapping
    Perceptual-mapping helps firms to understand how customers view their product(s) relative to competitive products. Learn More...
    Resource Allocation
    Resource Allocation helps optimize resource sizing and resource allocations across segments, products, channels, etc. Learn More...
    Segmentation and Targeting
    Segmentation is the process of classifying customers into homogenous groups (segments) such that each group of customers shares enough characteristics in common to make it viable for the firm to design specific offerings or products for selected segments. Learn More...

    • I have been working with a M business unit of a large information technology firm. I have applied the Marketing Engineering sales resource allocation model with their sales management team with much success.We had two important questions that the model helped answer. How big is the market from the sales perspective? How much is the sales group under resourced? The model revealed that the market is approximately 0 million and that to achieve that result an increase in sales effort of 50% is needed. By the way the CEO was tickled to see that profits increased threefold under this scenario.
      Tim Matanovich Principal, Market Leaders Group, LLC
    • We used the Marketing Engineering perceptual maps for one of our competitive local exchange carrier businesses in the telecommunications end. And, when we did the perceptual map, we realized where our “white space” was, and we re-did our whole branding campaign to address that white space. And, we did some focus groups to test out the new campaign and they tested very well compared to the old one. And, after the focus groups, we went out and did the campaign.

      We just got the results back and our brand awareness was raised by 46%. And, when we re-did the perceptual maps after our brand awareness study, we saw that the exact space that we wanted to enter into is where we went. So, we are thrilled and we wouldn’t have known this if we didn’t have the Marketing Engineering perceptual mapping system, the joint space map.
      Ellen Lutz Director of Marketing Unregulated Business, Exelon
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