Market Intelligence Solutions

Solutions

Consumer preference data collected on MyProductAdvisor.com and MyProductAdvisor.cn flows into Market Insight’s on-demand analysis system and is immediately available for flexible forms of analysis.

Preference Views. MPA asks shoppers to provide their preferences on up to 80 different product attributes and features. Statistical analysis of the preference ratings of thousands of shoppers can provide valuable insight into the characteristics of the target market. In addition, preferences can be analyzed by segment and tracked over time to detect trends.

Market Simulations. MI combines preference data with product data using a mathematical model to simulate marketplace purchase behavior. This patent pending, validated process allows exploration of “What-if” scenarios and can be used to form quantitative predictions about the value of specific attributes or features on particular products or portfolios of products.

High-Value Consumer Market Intelligence

Brand

  • Identify shopper segments where particular brands are strong or weak
  • For shoppers who prefer a particular brand, reveal how their attribute preferences, intended usage, and demographics differ from other groups of shoppers
  • Detect trends in brand preference over time
  • Quantify in monetary units a measure of a particular brand’s value relative to a competitive brand
  • Quantify consumer price sensitivity and brand interaction under various price changes to the entire brand product portfolio
  • Compare preferences with performance for selected brands to highlight over/under performing brands
  • Identify design concepts focused on consumers who express an active consideration of the brand, if not a strong preference

Product Introduction

  • Estimate sales volume for new product concepts
  • Find price-demand curves over a range of prices, and calculate full-market elasticities
  • Test sensitivity to changes in particular attributes
  • Identify competing products that interact the most with the new product concept
  • Quantify amount of cannibalization of existing brand portfolio products
  • Calculate profit-share tradeoff over a feasible price range
  • Examine the new product’s performance within target consumer segments
  • Identify characteristics of target consumer segments by examining the attribute preferences of consumers who would consider the product’s type/brand
  • Evaluate “targeted designs” focused on the preferences of specific consumer segments, given technical or financial constraints

Product Portfolio

  • Identify the primary brands that compete with the portfolio and the key products within each competitive brand
  • Within selected market segments, compare the portfolio’s performance against its primary competitive brands
  • Evaluate the impact on the portfolio’s market share of systematic changes to attributes (e.g., price, features, performance)
  • Determine the relative market strength of selected products within the portfolio
  • Find the key attributes that contribute to the products’ strength or weakness within the portfolio
  • Quantify the amount of cannibalization for existing products of the same brand by simulating removal/retirement of particular products
  • Calculate the effects on the portfolio resulting from competitive responses such as price or feature changes

Feature Contenting

  • Identify relative preference and importance for specific product features
  • Detect trends in the preference for particular features over time
  • Compare feature preferences across geographic regions
  • Quantify expected share gain/loss for a product if it were to add/remove a feature
  • Identify competitive products losing the most share due to feature changes to a product
  • Derive the consumer “price equivalent” for selected features where “price equivalent” of a feature is the price reduction that produces the same market share as adding the feature

Product Pricing

  • For any product, calculate price-demand curve and find full-market price elasticities
  • Calculate the profit-share tradeoff over a feasible price range
  • Calculate cross-price elasticities between existing products and any other products in the market
  • Identify competitive products that gain or lose the most in response to price changes to current products
  • Evaluate market share gain or loss due to competitor price changes
  • Identify preferences and trends in consumer price range broken down by attribute or segment

Target Market

  • Reveal consumer preferences within a set of specific market segments (defined by demographics, price range, brand preferences, etc.) and how they differ from the population as a whole or each other
  • Evaluate a product’s market share within specific market segments and use this to determine the product’s natural target markets
  • Highlight the strengths and weaknesses of the product within its target markets
  • Identify primary competitors and determine comparative strengths and weaknesses against these competitors in terms of their attributes
  • Identify how attribute/feature preferences, relative importance, intended usage, and demographics within target segments differ from other target segments or the population as a whole