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Quantitative Research |
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With any quantitative project, Campos Inc obtains empirical data on attitudes, behavior, and performance from a sample that is representative of a larger universe. This enables us to provide our clients with statistically sound findings and confidently offer recommendations. Campos Inc is the recognized expert in designing surveys that ask the right questions, collecting and analyzing data, interpreting results, and making insightful recommendations that impact your bottom line. Over the years much has changed with respect to market research; however, one adage that has withstood the test of time is that research is not one-size-fits-all. This is why we at Campos Inc feel very strongly that research should be flexible and adaptable to each of our clients' unique needs. In order to most effectively address your particular objective(s), we are capable of implementing one or more of both traditional and emerging data collection methodologies, including:
It reflects our commitment to provide even more strategic value to your marketing planning and decision-making process as a part of our Real Customer Experience business approach.
Statistical Analysis
Statistical Analysis Statistical Analysis adds precision and depth to market research. Analysis can be tailored to your specific needs to further validate customer perceptions and market trends, to guide strategic decision-making, and to maximize the impact of research findings on your overall business and market plan. Correlation Analysis Correlation Analysis shows which attributes of a company and its products and services are most important and significant to overall satisfaction. This analysis identifies areas that should be the primary focus of attention and improvements, between those that are performing well and those of less importance to target audiences, when making decisions or forming impressions. GAP Analysis GAP Analysis shows the difference between how important attributes are to your respondents and how satisfied they are with those attributes. Negative gaps (where importance exceeds performance) are areas for improvement. Positive gaps (where performance exceeds importance) are either strengths or sometimes wasted effort if the importance of that attribute is very low. This analysis is also useful to show the differences in ratings between two audiences, such as external perceptions versus internal perceptions. Loyalty Analysis Loyalty Analysis determines the percentage of respondents that give a high rating to each of three variables: likely to purchase, likely to refer, and completely satisfied. It shows what percentage of your customers is at risk of switching to a competitor. Perceptual Mapping Perceptual Mapping maps a products position in relation to competitors, based on perceived importance and performance ratings of various product attributes. Perceptual mapping can provide valuable insight for a vast number of marketing decisions:
Segmentation Analysis Segmentation Analysis describes the division of a larger market into homogenous subgroups that will respond differently to promotions, communications, advertising, and other marketing variables. Segmentation analysis can tell you:
GIS Mapping GIS Mapping utilizes geographic information system mapping to identify customers locations to understand where they came from, accurately determine the size and distribution of a potential market and which markets/locations are underserved. This information will be essential to future marketing and communication plans as it:
Pricing Research When performing Pricing Research, Campos Inc utilizes several different methodologies, depending on the objectives of the project. Methodologies can include: the van Westendorp Price Sensitivity Meter, Concept Testing, Conjoint Analysis, and Discrete Choice Modeling. As each of these techniques have their own distinct uses, Campos Inc will evaluate the best possible option(s) based on a client's specific research/business needs. Regression Analysis Regression Analysis is often used to model reality. With the help of regression models, strength and character of relationships between dependent and independent variables can be specified. This statistical model can help to:
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