Introduction to MAPŠ

What it is and How it Works


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OVERVIEW

02-28-98

The guiding PARADIGM for all of the endeavors of SPRING SYSTEMS is embodied in MAPŠ, which stands for 'Multi-Attribute-Product MODEL'.

The graphical representation of this model looks as follows:

What this means, essentially falls into a number of sub-categoties:

Another way to show the relationship between BRANDS/OBJECTS and CRITERIA/ATTRIBUTES can be represented by the following equation:

What this means is that each of the (i) brands or objects on (j) criteria has a SHARE that is determined by:

Since SHARES have the desirable property of ranging from 0-100 (0-1.0 if divided by 100), they can also be interpreted as PROBABILITIES. This is in fact the proper interpretation if the MATRIX is for only ONE INDIVIDUAL.

What all of the preceding really says on an INDIVIDUAL LEVEL is our slogan:

"Consumers are more likely to purchase products/services that they perceive as meeting their most important needs better than competition."

The PRODUCTS are the OBJECTS, the NEEDS are the CRITERIA, and the SHARES are the PROBABILITY of being purchased/used for each BRAND/PRODUCT.

This PARADIGM (with appropriate modifications for each individual instance) covers a broad range of situations. It is used in AGGREGATE MARKET STRATEGY MODELING, as well as CONSUMER BRAND IMAGE/PERCEPTION MODELING, MEDIA EFFICIENCY MODELING, and NEW PRODUCT TRIAL MODELING.

For more details on computational issues:

SEE: MAP(c) COMPUTATIONS

THE BIG PICTURE

The illustration which follows, shows how the MAPŠ PARADIGM is at the center of various acitivities that relate to INFORMATION GATHERING for the purpose of sharpening MARKETING MANAGEMENT.

This is essentially a blueprint for both RESEARCH and MARKETING MANAGEMENT. The fact that a broad spectrum of phenomena can be modeled by a MATRIX of OBJECTS and WEIGHTED CRITERIA, with a DEPENDENT SUMMARY MEASURE for each OBJECT that can be expressed as a SHARE/PROBABILITY, provides the opportunity to subsume a diverse set of activities under a common umbrella.

Our approach to using the MAPŠ PARADIGM to address opportunities/problems, falls into TWO distinct areas:

The MAPŠ modules that are primarily used to identify OPPORTUNITIES are: MARKET MAPPING, ATTRIBUTE MAPPING, and STRUCTURE MAPPING.

The modules that are used to EVALUATE how various PROPOSED SOLUTIONS do in terms of CAPITALIZING on OPPORTUNITIES are: SEMANTIC MAPPING and CONCEPT MAPPING.

If a NEW product is involved as part of the solution, TRIAL MAPPING is used to translate CONCEPT PERFORMANCE into TRIAL POTENTIAL.

HOW WE WORK WITH A CLIENT

When working with a client, we will first of all check whether the questions/issues addressed by each MAPŠ module have already been adequately covered by the client's own information base.

If the answer is 'YES', we'll incorporate what's available. If it's 'NO', we'll implement the appropriate MAPŠ module.

The order in which we examine opportunities/problems looks like this:

MARKET MAPPING

We will typically START with MARKET MAPPING ( see * MktSIM(c) Marketing Simulation Model ) in order to isolate OPPORTUNITY areas in the MARKETING MIX.

MARKETING MIX areas of OPPORTUNITY will most likely be discovered via running a number of different 'what if' scenarios, where different levels of MARKETING MIX inputs are systematically varied/manipulated.

ATTRIBUTE MAPPING

More often than not, MARKETING OPPORTUNITIES require a closer look at CONSUMER/CUSTOMER opportunities. A first step in this area entails the discovery of CRITERIA/ATTRIBUTES that CONSUMERS/CUSTOMERS use in selecting one BRAND/PRODUCT/SERVICE over another.

A specially designed small-scale Qualitative/Quanatitative hybrid interviewing technique is used to elicit CRITERIA. The process involves a RIGHT/WRONG SEARCH, an IDEAL SEARCH, and finally a CRITERIA SEARCH.

The primary output is a qualitative feel for the category and a LIST of CRITERIA that can be used in subsequent research.

We will also use PERCEPTUAL MAPPING ( see * ARGUS(c) Perceptual Mapper ) in this phase of development to get a VISUAL perspective of what the consumer/customer view of the category looks like.

If the FULL ARGUS MAPPING system is used, the MAP which is produced will simultaneously show 1)OBJECTS [as dots], 2)VARIABLES [as arrow vectors], and 3)CLUSTERS [as shaded circles]. In this instance the MAPŠ paradigm and the representational MAP become one.

This is essentially the visual representation of a prototypical MAPŠ MATRIX. All of the complex multidimensional information contained in the MATRIX can be clearly seen on the relatively simple 2-D MAP.

STRUCTURE MAPPING

STRUCTURE MAPPING is essentially a tool that's used to identify CONSUMER or CUSTOMER OPPORTUNITIES. Given that a list of CRITERIA has been obtained, STRUCTURE MAPPING is conducted with a LARGER, more REPRESENTATIVE sample.

We'll use one or more modules from our STATISTICAL SYSTEM ( see * TURBO Spring-Stat(c) Modular Stat Package ) to provide analytic resources for generating the findings.

STRUCTURE MAPPING provides the following information:

The MAIN output is OPPORTUNITY CRITERIA, and how they are selected looks as follows:

The OPPORTUNITY selection model can of course be modified to accomodate specific needs, but we've found it to be most effective 'AS IS' in a majority of cases.

For more details on computational issues:

SEE: MAP(c) COMPUTATIONS

SEMANTIC MAPPING

Given that broad opportunity areas/positioning goals have been identified via STRUCTURE MAPPING, SEMANTIC MAPPING is done to determine how well a fairly large number of isolated PRODUCT CHARACTERISTICS or COPY POINTS imply GOOD PERFORMANCE on KEY CRITERIA.

SEMANTIC MAPPING is done with REPRESENTATIVE SAMPLES, and is designed to pinpoint which PRODUCT ATTRIBUTES and COPY POINTS do the best job of IMPLYING GOOD PERFORMANCE on OPPORTUNITY CRITERIA.

It's a technique that enlists consumers to establish a LINK between PRODUCT FEATURES and CONSUMER BENEFITS.

CONCEPT MAPPING

CONCEPT MAPPING assumes that the issues of: WHAT TO SAY; WHOM TO SAY IT TO; and HOW TO SAY IT have essentially been settled based on information available from the CLIENT or information derived from previous MAPŠ modules.

This method for testing CONCEPTS (which can be anything from PARAGRAPH descriptions of CONCEPTS or NEW PRODUCTS, to FINISHED TV COMMERCIALS or PRINT ADS) works as follows:

TRIAL MAPPING

This module of MAPŠ only comes into play if part of the CAPITALIZATION on OPPORTUNITIES involves the development of a NEW PRODUCT.

If in fact the CONCEPTS used in CONCEPT MAPPING represent NEW PRODUCTS, then TRIAL MAPPING will take the SHARE ESTIMATES coming from CONCEPT MAPPING (which assume PERFECT AWARENESS and DISTRIBUTION) and perform a SHARE forecast based on more REALISTIC assumptions of AWARENESS and DISTRIBUTION over TIME. Input to this MODEL also includes REPEAT rates, which are typically estimated on the basis of PRODUCT SATISFACTION TESTS.

We will use Trial/Repeat based simulation ( see * TrialMAP(c) Trial/Repeat New Product Simulation Model ) in this phase of development to get a range of scenarios which can provide clues for the new product's probability of success, given various marketing and marketing decision parameters, and its performance in CONCEPT MAPPING.

WHAT GOES AROUND COMES AROUND

Beyond this point, whether the CYCLE involves a NEW PRODUCT or an EXISTING PRODUCT, things start all over again. MARKET MAPPING with NEW data will in effect monitor how well the IMPLEMENTED MARKETING programs have done in terms of CAPITALIZING on both MARKET and CONSUMER OPPORTUNITIES.

How much will it cost? Consult our COST ESTIMATOR.



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