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FIND YOUR SOLUTION

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CONCEPT SCREENING

Early in the innovation process it is common to have many ideas listed for exploration but how do you know which ones to give priority to? FGI helps you screen through your very long list to prioritize them for action.  Using discrete choice methods, your customers can quickly appraise dozens of ideas and indicate which ones spark the most interest.

  • Benefits

    Quickly identify the concepts with the most potential ♦ Best-practice methods assure reliable results ♦ Online mode improves speed and lowers cost ♦ Superior results over conventional research ♦ Clear cut results guiding recommendations

  • Features

    Accommodates up to 100 or more ideas ♦ Best practice discrete choice ♦ Ranking based upon purchase interest ♦ Direct feedback from your customer base ♦ Includes control concepts ♦ Comprehensive reporting with actionable recommendations

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SMARTOPTIMIZETM FOR PRODUCTS

Price is often—but not always—an important driver of consumers’ choices. SmartOptimizeTM for Products offers real, quantitative, meaningful differences between products using a reseach methodology that 1) quantifies which product attributes drive choices, 2) which options and combinations of options within those attributes are most preferred, and 3) what attributes and options consumers will be willing to “trade off” for price considerations. That method is choice-based conjoint, or CBC. CBC takes several forms, including an adaptive version, depending on the complexity of the product and the product’s sensitivity to price or cost based on various configurations.

  • Benefits

    Highly effective in replicating a consumer’s decision making process ♦ Flexible and adaptable ♦ Robust analytics ♦ Supports different optimization objectives ♦ Powerful but easy-to-use simulators ♦ Segmentation

  • Features

    Respondent friendly survey ♦ Virtually unlimited product configurations ♦ Flexible application ♦ Stable, proven methodology ♦ Supports text and image-based designs

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SMARTOPTIMIZETM FOR PACKAGING

The store shelf is where products are up against many competitive offerings for consumers’ attention. SmartOptimizeTM for Packaging uses a carefully-crafted conjoint survey to determine which elements of a product package most strongly influence consumers’ package preferences, and which specific variations within those elements are most effective, both alone and in combination.

  • Benefits

    Clear, data-driven understanding of which package components drive preference ♦ The preferred specific design variation within each package element ♦ Ability to see the quantitative changes in preference based on changes in levels ♦ Understand the interaction effects of different levels in different package design elements ♦ Uses robust Bayesian analytics, allowing reliable models with smaller samples

  • Features

    Uses advanced search algorithms to find optimum package designs under different conditions ♦ Interesting, interactive survey experience ♦ Utilizes text descriptors, images, or a combination of both

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CONCEPT TESTING

Whether developing new products, packaging, or advertising, testing your concepts helps determine the best choice to go to market with.  FGI's concept testing tests concepts for purchase likelihood, appeal, believability, and brand fit so that you have the data to determine which is strongest.  We can also create forced-choice exercises to provide rank ordering.  These best-practice methods provide reliable results.  

  • Benefits

    Greater likelihood of success in the marketplace ♦ Confident decision-making ♦ Trustworthy data ♦ Defendable results

  • Features

    Monadic design ♦ Targeted recruiting ♦ Customized attributes  ♦ Control cells & benchmarking

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PRICING RESEARCH

There are several flavors of pricing research, each with their own benefits, such as Van Westendorp Price Sensitivity Modeling, conjoint analysis, and monadic price testing.  FGI conducts all three, selecting the method that is best configured for your business problem.

  • Benefits

    Offers a number of price testing solutions based on the product development lifecycle ♦ Price tolerance can be handily compared between groups or segments of consumers ♦ Pricing can be manipulated to reflect specific product configurations and variations in price for single configurations

  • Features

    Regression analysis to measure the effect of product/brand attributes on price tolerance ♦ Sampling scheme based on actual target market ♦ Predictive model demonstrating the effect brand and positioning has on price ♦ Simulator allowing “what-if” analyses to look at different product configurations

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